diff --git a/.github/workflows/build-and-test.yml b/.github/workflows/build-and-test.yml index 7d6df187952197..532ba1102ed579 100644 --- a/.github/workflows/build-and-test.yml +++ b/.github/workflows/build-and-test.yml @@ -70,7 +70,11 @@ jobs: - uses: actions/setup-python@v5 with: python-version: "3.10" - cache: pip + - uses: actions/cache@v4 + with: + path: | + ~/.cache/uv + key: ${{ runner.os }}-uv-${{ hashFiles('**/requirements.txt') }} - name: Set up JDK 17 uses: actions/setup-java@v4 with: diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml index dbeff7a9c0f9fc..e6044badb1b41c 100644 --- a/.github/workflows/documentation.yml +++ b/.github/workflows/documentation.yml @@ -44,7 +44,11 @@ jobs: - uses: actions/setup-python@v5 with: python-version: "3.10" - cache: pip + - uses: actions/cache@v4 + with: + path: | + ~/.cache/uv + key: ${{ runner.os }}-uv-${{ hashFiles('**/requirements.txt') }} - name: Install Python dependencies run: ./metadata-ingestion/scripts/install_deps.sh - name: Build Docs diff --git a/.github/workflows/metadata-ingestion.yml b/.github/workflows/metadata-ingestion.yml index 92dcb3d8ac2890..c0eafe891fb0aa 100644 --- a/.github/workflows/metadata-ingestion.yml +++ b/.github/workflows/metadata-ingestion.yml @@ -62,16 +62,11 @@ jobs: - uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - cache: "pip" - uses: actions/cache@v4 with: path: | ~/.cache/uv key: ${{ runner.os }}-uv-${{ hashFiles('**/requirements.txt') }} - - uses: actions/setup-python@v5 - with: - python-version: ${{ matrix.python-version }} - cache: "pip" - name: Install dependencies run: ./metadata-ingestion/scripts/install_deps.sh - name: Install package diff --git a/datahub-frontend/app/auth/AuthModule.java b/datahub-frontend/app/auth/AuthModule.java index d0d17fda263926..7bb25478907011 100644 --- a/datahub-frontend/app/auth/AuthModule.java +++ b/datahub-frontend/app/auth/AuthModule.java @@ -21,6 +21,7 @@ import com.linkedin.util.Configuration; import config.ConfigurationProvider; import controllers.SsoCallbackController; +import io.datahubproject.metadata.context.ValidationContext; import java.nio.charset.StandardCharsets; import java.util.Collections; @@ -187,6 +188,7 @@ protected OperationContext provideOperationContext( .authorizationContext(AuthorizationContext.builder().authorizer(Authorizer.EMPTY).build()) .searchContext(SearchContext.EMPTY) .entityRegistryContext(EntityRegistryContext.builder().build(EmptyEntityRegistry.EMPTY)) + .validationContext(ValidationContext.builder().alternateValidation(false).build()) .build(systemAuthentication); } diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/ContainerType.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/ContainerType.java index db44a5be8bdd37..37b021fcb1091a 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/ContainerType.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/ContainerType.java @@ -52,7 +52,8 @@ public class ContainerType Constants.DEPRECATION_ASPECT_NAME, Constants.DATA_PRODUCTS_ASPECT_NAME, Constants.STRUCTURED_PROPERTIES_ASPECT_NAME, - Constants.FORMS_ASPECT_NAME); + Constants.FORMS_ASPECT_NAME, + Constants.ACCESS_ASPECT_NAME); private static final Set FACET_FIELDS = ImmutableSet.of("origin", "platform"); private static final String ENTITY_NAME = "container"; diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/mappers/ContainerMapper.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/mappers/ContainerMapper.java index 2c0dc142bee3d9..02357b3ddc349e 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/mappers/ContainerMapper.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/container/mappers/ContainerMapper.java @@ -2,6 +2,7 @@ import static com.linkedin.metadata.Constants.*; +import com.linkedin.common.Access; import com.linkedin.common.DataPlatformInstance; import com.linkedin.common.Deprecation; import com.linkedin.common.Forms; @@ -30,6 +31,7 @@ import com.linkedin.datahub.graphql.types.domain.DomainAssociationMapper; import com.linkedin.datahub.graphql.types.form.FormsMapper; import com.linkedin.datahub.graphql.types.glossary.mappers.GlossaryTermsMapper; +import com.linkedin.datahub.graphql.types.rolemetadata.mappers.AccessMapper; import com.linkedin.datahub.graphql.types.structuredproperty.StructuredPropertiesMapper; import com.linkedin.datahub.graphql.types.tag.mappers.GlobalTagsMapper; import com.linkedin.domain.Domains; @@ -105,6 +107,11 @@ public static Container map( context, new GlossaryTerms(envelopedTerms.getValue().data()), entityUrn)); } + final EnvelopedAspect accessAspect = aspects.get(ACCESS_ASPECT_NAME); + if (accessAspect != null) { + result.setAccess(AccessMapper.map(new Access(accessAspect.getValue().data()), entityUrn)); + } + final EnvelopedAspect envelopedInstitutionalMemory = aspects.get(Constants.INSTITUTIONAL_MEMORY_ASPECT_NAME); if (envelopedInstitutionalMemory != null) { diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/DatasetType.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/DatasetType.java index 65b5d39e315692..6a3f9cb9b21f38 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/DatasetType.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/DatasetType.java @@ -86,7 +86,7 @@ public class DatasetType EMBED_ASPECT_NAME, DATA_PRODUCTS_ASPECT_NAME, BROWSE_PATHS_V2_ASPECT_NAME, - ACCESS_DATASET_ASPECT_NAME, + ACCESS_ASPECT_NAME, STRUCTURED_PROPERTIES_ASPECT_NAME, FORMS_ASPECT_NAME, SUB_TYPES_ASPECT_NAME); diff --git a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/mappers/DatasetMapper.java b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/mappers/DatasetMapper.java index a7b5f6de0c183d..0869463ba73ac2 100644 --- a/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/mappers/DatasetMapper.java +++ b/datahub-graphql-core/src/main/java/com/linkedin/datahub/graphql/types/dataset/mappers/DatasetMapper.java @@ -166,7 +166,7 @@ public Dataset apply( (dataset, dataMap) -> dataset.setBrowsePathV2(BrowsePathsV2Mapper.map(context, new BrowsePathsV2(dataMap)))); mappingHelper.mapToResult( - ACCESS_DATASET_ASPECT_NAME, + ACCESS_ASPECT_NAME, ((dataset, dataMap) -> dataset.setAccess(AccessMapper.map(new Access(dataMap), entityUrn)))); mappingHelper.mapToResult( diff --git a/datahub-graphql-core/src/main/resources/entity.graphql b/datahub-graphql-core/src/main/resources/entity.graphql index 16ef59114f86c8..b3728aa6764903 100644 --- a/datahub-graphql-core/src/main/resources/entity.graphql +++ b/datahub-graphql-core/src/main/resources/entity.graphql @@ -2837,6 +2837,11 @@ type Container implements Entity { """ exists: Boolean + """ + The Roles and the properties to access the container + """ + access: Access + """ Experimental API. For fetching extra entities that do not have custom UI code yet diff --git a/datahub-upgrade/src/main/java/com/linkedin/datahub/upgrade/config/SystemUpdateConfig.java b/datahub-upgrade/src/main/java/com/linkedin/datahub/upgrade/config/SystemUpdateConfig.java index f3a4c47c59f0b7..661717c6309cfc 100644 --- a/datahub-upgrade/src/main/java/com/linkedin/datahub/upgrade/config/SystemUpdateConfig.java +++ b/datahub-upgrade/src/main/java/com/linkedin/datahub/upgrade/config/SystemUpdateConfig.java @@ -29,6 +29,7 @@ import io.datahubproject.metadata.context.OperationContextConfig; import io.datahubproject.metadata.context.RetrieverContext; import io.datahubproject.metadata.context.ServicesRegistryContext; +import io.datahubproject.metadata.context.ValidationContext; import io.datahubproject.metadata.services.RestrictedService; import java.util.List; import javax.annotation.Nonnull; @@ -161,7 +162,8 @@ protected OperationContext javaSystemOperationContext( @Nonnull final GraphService graphService, @Nonnull final SearchService searchService, @Qualifier("baseElasticSearchComponents") - BaseElasticSearchComponentsFactory.BaseElasticSearchComponents components) { + BaseElasticSearchComponentsFactory.BaseElasticSearchComponents components, + @Nonnull final ConfigurationProvider configurationProvider) { EntityServiceAspectRetriever entityServiceAspectRetriever = EntityServiceAspectRetriever.builder() @@ -186,6 +188,10 @@ protected OperationContext javaSystemOperationContext( .aspectRetriever(entityServiceAspectRetriever) .graphRetriever(systemGraphRetriever) .searchRetriever(searchServiceSearchRetriever) + .build(), + ValidationContext.builder() + .alternateValidation( + configurationProvider.getFeatureFlags().isAlternateMCPValidation()) .build()); entityServiceAspectRetriever.setSystemOperationContext(systemOperationContext); diff --git a/datahub-web-react/src/app/entity/container/ContainerEntity.tsx b/datahub-web-react/src/app/entity/container/ContainerEntity.tsx index 9cd32cf33a013f..89f9122c6287f8 100644 --- a/datahub-web-react/src/app/entity/container/ContainerEntity.tsx +++ b/datahub-web-react/src/app/entity/container/ContainerEntity.tsx @@ -8,7 +8,7 @@ import { DocumentationTab } from '../shared/tabs/Documentation/DocumentationTab' import { SidebarAboutSection } from '../shared/containers/profile/sidebar/AboutSection/SidebarAboutSection'; import { SidebarOwnerSection } from '../shared/containers/profile/sidebar/Ownership/sidebar/SidebarOwnerSection'; import { getDataForEntityType } from '../shared/containers/profile/utils'; -import { useGetContainerQuery } from '../../../graphql/container.generated'; +import { useGetContainerQuery, GetContainerQuery } from '../../../graphql/container.generated'; import { ContainerEntitiesTab } from './ContainerEntitiesTab'; import { SidebarTagsSection } from '../shared/containers/profile/sidebar/SidebarTagsSection'; import { PropertiesTab } from '../shared/tabs/Properties/PropertiesTab'; @@ -17,6 +17,8 @@ import { capitalizeFirstLetterOnly } from '../../shared/textUtil'; import DataProductSection from '../shared/containers/profile/sidebar/DataProduct/DataProductSection'; import { getDataProduct } from '../shared/utils'; import EmbeddedProfile from '../shared/embed/EmbeddedProfile'; +import AccessManagement from '../shared/tabs/Dataset/AccessManagement/AccessManagement'; +import { useAppConfig } from '../../useAppConfig'; /** * Definition of the DataHub Container entity. @@ -65,6 +67,8 @@ export class ContainerEntity implements Entity { useEntityQuery = useGetContainerQuery; + appconfig = useAppConfig; + renderProfile = (urn: string) => ( { name: 'Properties', component: PropertiesTab, }, + { + name: 'Access Management', + component: AccessManagement, + display: { + visible: (_, container: GetContainerQuery) => { + return ( + this.appconfig().config.featureFlags.showAccessManagement && + !!container?.container?.access + ); + }, + enabled: (_, container: GetContainerQuery) => { + const accessAspect = container?.container?.access; + const rolesList = accessAspect?.roles; + return !!accessAspect && !!rolesList && rolesList.length > 0; + }, + }, + }, ]} sidebarSections={this.getSidebarSections()} /> diff --git a/datahub-web-react/src/app/entity/shared/tabs/Dataset/AccessManagement/AccessManagement.tsx b/datahub-web-react/src/app/entity/shared/tabs/Dataset/AccessManagement/AccessManagement.tsx index 5de532d17a6769..f5789447d953db 100644 --- a/datahub-web-react/src/app/entity/shared/tabs/Dataset/AccessManagement/AccessManagement.tsx +++ b/datahub-web-react/src/app/entity/shared/tabs/Dataset/AccessManagement/AccessManagement.tsx @@ -3,8 +3,8 @@ import styled from 'styled-components'; import { Button, Table } from 'antd'; import { SpinProps } from 'antd/es/spin'; import { LoadingOutlined } from '@ant-design/icons'; -import { useBaseEntity } from '../../../EntityContext'; -import { GetDatasetQuery, useGetExternalRolesQuery } from '../../../../../../graphql/dataset.generated'; +import { useEntityData } from '../../../EntityContext'; +import { useGetExternalRolesQuery } from '../../../../../../graphql/dataset.generated'; import { handleAccessRoles } from './utils'; import AccessManagerDescription from './AccessManagerDescription'; @@ -60,11 +60,12 @@ const AccessButton = styled(Button)` `; export default function AccessManagement() { - const baseEntity = useBaseEntity(); + const { entityData } = useEntityData(); + const entityUrn = (entityData as any)?.urn; const { data: externalRoles, loading: isLoading } = useGetExternalRolesQuery({ - variables: { urn: baseEntity?.dataset?.urn as string }, - skip: !baseEntity?.dataset?.urn, + variables: { urn: entityUrn as string }, + skip: !entityUrn, }); const columns = [ diff --git a/datahub-web-react/src/app/ingest/source/executions/reporting/StructuredReportItemContext.tsx b/datahub-web-react/src/app/ingest/source/executions/reporting/StructuredReportItemContext.tsx index abf6ce2c676bc0..91b6282088f46b 100644 --- a/datahub-web-react/src/app/ingest/source/executions/reporting/StructuredReportItemContext.tsx +++ b/datahub-web-react/src/app/ingest/source/executions/reporting/StructuredReportItemContext.tsx @@ -17,7 +17,7 @@ const Title = styled.div` font-weight: bold; `; -const Item = styled.div` +const Item = styled.pre` padding: 6px; font-size: 12px; border-radius: 2px; diff --git a/datahub-web-react/src/graphql/container.graphql b/datahub-web-react/src/graphql/container.graphql index 4b3ecfe8aaaff9..88ed7582e62c5f 100644 --- a/datahub-web-react/src/graphql/container.graphql +++ b/datahub-web-react/src/graphql/container.graphql @@ -59,6 +59,13 @@ query getContainer($urn: String!) { status { removed } + access { + roles { + role { + urn + } + } + } autoRenderAspects: aspects(input: { autoRenderOnly: true }) { ...autoRenderAspectFields } diff --git a/docker/build.gradle b/docker/build.gradle index cdf2d1271d6e85..6d53d593186ddf 100644 --- a/docker/build.gradle +++ b/docker/build.gradle @@ -8,6 +8,8 @@ import com.avast.gradle.dockercompose.tasks.ComposeDownForced apply from: "../gradle/versioning/versioning.gradle" ext { + compose_base = "profiles/docker-compose.yml" + backend_profile_modules = [ ':docker:elasticsearch-setup', ':docker:mysql-setup', @@ -23,7 +25,7 @@ ext { debug_modules = quickstart_modules - [':metadata-jobs:mce-consumer-job', ':metadata-jobs:mae-consumer-job'] - compose_args = ['-f', 'profiles/docker-compose.yml'] + compose_args = ['-f', compose_base] debug_reloadable = [ 'datahub-gms-debug', 'system-update-debug', @@ -68,7 +70,7 @@ dockerCompose { environment.put 'DATAHUB_VERSION', "v${version}" environment.put 'DATAHUB_TELEMETRY_ENABLED', 'false' // disabled when built locally - useComposeFiles = ['profiles/docker-compose.yml'] + useComposeFiles = [compose_base] projectName = 'datahub' projectNamePrefix = '' buildBeforeUp = false @@ -86,7 +88,7 @@ dockerCompose { environment.put 'DATAHUB_VERSION', "v${version}" environment.put 'DATAHUB_TELEMETRY_ENABLED', 'false' // disabled when built locally - useComposeFiles = ['profiles/docker-compose.yml'] + useComposeFiles = [compose_base] projectName = 'datahub' projectNamePrefix = '' buildBeforeUp = false @@ -113,7 +115,7 @@ dockerCompose { // disabled for spark-lineage smoke-test environment.put 'DATAHUB_LOCAL_COMMON_ENV', "${rootProject.project(':metadata-integration:java:spark-lineage-legacy').projectDir}/spark-smoke-test/smoke-gms.env" - useComposeFiles = ['profiles/docker-compose.yml'] + useComposeFiles = [compose_base] projectName = 'datahub' projectNamePrefix = '' buildBeforeUp = false @@ -133,7 +135,7 @@ dockerCompose { } environment.put 'DATAHUB_TELEMETRY_ENABLED', 'false' // disabled when built locally - useComposeFiles = ['profiles/docker-compose.yml'] + useComposeFiles = [compose_base] projectName = 'datahub' projectNamePrefix = '' buildBeforeUp = false @@ -146,7 +148,7 @@ dockerCompose { isRequiredBy(tasks.named('quickstartStorage')) composeAdditionalArgs = ['--profile', 'quickstart-storage'] - useComposeFiles = ['profiles/docker-compose.yml'] + useComposeFiles = [compose_base] projectName = 'datahub' projectNamePrefix = '' buildBeforeUp = false diff --git a/docker/kafka-setup/Dockerfile b/docker/kafka-setup/Dockerfile index dd88060cd7165f..a11f823f5efa55 100644 --- a/docker/kafka-setup/Dockerfile +++ b/docker/kafka-setup/Dockerfile @@ -1,4 +1,4 @@ -ARG KAFKA_DOCKER_VERSION=7.4.6 +ARG KAFKA_DOCKER_VERSION=7.7.1 # Defining custom repo urls for use in enterprise environments. Re-used between stages below. ARG ALPINE_REPO_URL=http://dl-cdn.alpinelinux.org/alpine diff --git a/docker/profiles/docker-compose.gms.yml b/docker/profiles/docker-compose.gms.yml index 2683734c2d5e56..147bbd35ff6460 100644 --- a/docker/profiles/docker-compose.gms.yml +++ b/docker/profiles/docker-compose.gms.yml @@ -101,6 +101,7 @@ x-datahub-gms-service: &datahub-gms-service environment: &datahub-gms-env <<: [*primary-datastore-mysql-env, *graph-datastore-search-env, *search-datastore-env, *datahub-quickstart-telemetry-env, *kafka-env] ELASTICSEARCH_QUERY_CUSTOM_CONFIG_FILE: ${ELASTICSEARCH_QUERY_CUSTOM_CONFIG_FILE:-search_config.yaml} + ALTERNATE_MCP_VALIDATION: ${ALTERNATE_MCP_VALIDATION:-true} healthcheck: test: curl -sS --fail http://datahub-gms:${DATAHUB_GMS_PORT:-8080}/health start_period: 90s @@ -182,6 +183,7 @@ x-datahub-mce-consumer-service: &datahub-mce-consumer-service - ${DATAHUB_LOCAL_MCE_ENV:-empty2.env} environment: &datahub-mce-consumer-env <<: [*primary-datastore-mysql-env, *graph-datastore-search-env, *search-datastore-env, *datahub-quickstart-telemetry-env, *kafka-env] + ALTERNATE_MCP_VALIDATION: ${ALTERNATE_MCP_VALIDATION:-true} x-datahub-mce-consumer-service-dev: &datahub-mce-consumer-service-dev <<: *datahub-mce-consumer-service diff --git a/docs-website/docusaurus.config.js b/docs-website/docusaurus.config.js index b016f9518ea6c1..d1a33cbfd0f8a9 100644 --- a/docs-website/docusaurus.config.js +++ b/docs-website/docusaurus.config.js @@ -68,7 +68,7 @@ module.exports = { announcementBar: { id: "announcement-2", content: - '
NEW

Join us at Metadata & AI Summit, Oct. 29 & 30!

Register →
', + '
NEW

Join us at Metadata & AI Summit, Oct. 29 & 30!

Register →
', backgroundColor: "#111", textColor: "#ffffff", isCloseable: false, diff --git a/docs-website/sidebars.js b/docs-website/sidebars.js index 8f3da2050a9b7f..d98473c8ad7a58 100644 --- a/docs-website/sidebars.js +++ b/docs-website/sidebars.js @@ -101,12 +101,19 @@ module.exports = { { label: "Automations", type: "category", + collapsed: false, items: [ { label: "Documentation Propagation", type: "doc", id: "docs/automations/docs-propagation", }, + { + label: "BigQuery Metadata Sync", + type: "doc", + id: "docs/automations/bigquery-metadata-sync", + className: "saasOnly", + }, { label: "Snowflake Tag Sync", type: "doc", diff --git a/docs-website/src/styles/global.scss b/docs-website/src/styles/global.scss index 96ca07d45d0c28..31261ea3d940de 100644 --- a/docs-website/src/styles/global.scss +++ b/docs-website/src/styles/global.scss @@ -116,21 +116,34 @@ div[class^="announcementBar"] { >div { display: flex; align-items: center; + > div { + @media (max-width: 580px) { + display: none; + } + } + a>span { + @media (max-width: 580px) { + display: none; + } + } >p { text-align: left; line-height: 1.1rem; margin: 0; - >span { - @media (max-width: 780px) { - display: none; - } - } - - @media (max-width: 480px) { - display: none; + @media (max-width: 580px) { + font-size: .9rem; } + // >span { + // @media (max-width: 780px) { + // display: none; + // } + // } + + // @media (max-width: 480px) { + // display: none; + // } } } diff --git a/docs-website/yarn.lock b/docs-website/yarn.lock index 039dac5d5556b2..0c4f2358d71398 100644 --- a/docs-website/yarn.lock +++ b/docs-website/yarn.lock @@ -1827,7 +1827,7 @@ "@docusaurus/theme-search-algolia" "2.4.3" "@docusaurus/types" "2.4.3" -"@docusaurus/react-loadable@5.5.2", "react-loadable@npm:@docusaurus/react-loadable@5.5.2": +"@docusaurus/react-loadable@5.5.2": version "5.5.2" resolved "https://registry.yarnpkg.com/@docusaurus/react-loadable/-/react-loadable-5.5.2.tgz#81aae0db81ecafbdaee3651f12804580868fa6ce" integrity sha512-A3dYjdBGuy0IGT+wyLIGIKLRE+sAk1iNk0f1HjNDysO7u8lhL4N3VEm+FAubmJbAztn94F7MxBTPmnixbiyFdQ== @@ -6347,9 +6347,9 @@ http-proxy-agent@^7.0.0, http-proxy-agent@^7.0.1: debug "^4.3.4" http-proxy-middleware@^2.0.3: - version "2.0.6" - resolved "https://registry.yarnpkg.com/http-proxy-middleware/-/http-proxy-middleware-2.0.6.tgz#e1a4dd6979572c7ab5a4e4b55095d1f32a74963f" - integrity sha512-ya/UeJ6HVBYxrgYotAZo1KvPWlgB48kUJLDePFeneHsVujFaW5WNj2NgWCAE//B1Dl02BIfYlpNgBy8Kf8Rjmw== + version "2.0.7" + resolved "https://registry.yarnpkg.com/http-proxy-middleware/-/http-proxy-middleware-2.0.7.tgz#915f236d92ae98ef48278a95dedf17e991936ec6" + integrity sha512-fgVY8AV7qU7z/MmXJ/rxwbrtQH4jBQ9m7kp3llF0liB7glmFeVZFBepQb32T3y8n8k2+AEYuMPCpinYW+/CuRA== dependencies: "@types/http-proxy" "^1.17.8" http-proxy "^1.18.1" @@ -9708,6 +9708,14 @@ react-loadable-ssr-addon-v5-slorber@^1.0.1: dependencies: "@babel/runtime" "^7.10.3" +"react-loadable@npm:@docusaurus/react-loadable@5.5.2": + version "5.5.2" + resolved "https://registry.yarnpkg.com/@docusaurus/react-loadable/-/react-loadable-5.5.2.tgz#81aae0db81ecafbdaee3651f12804580868fa6ce" + integrity sha512-A3dYjdBGuy0IGT+wyLIGIKLRE+sAk1iNk0f1HjNDysO7u8lhL4N3VEm+FAubmJbAztn94F7MxBTPmnixbiyFdQ== + dependencies: + "@types/react" "*" + prop-types "^15.6.2" + react-markdown@^8.0.6: version "8.0.7" resolved "https://registry.yarnpkg.com/react-markdown/-/react-markdown-8.0.7.tgz#c8dbd1b9ba5f1c5e7e5f2a44de465a3caafdf89b" diff --git a/docs/automations/bigquery-metadata-sync.md b/docs/automations/bigquery-metadata-sync.md new file mode 100644 index 00000000000000..ea5e0713d9b205 --- /dev/null +++ b/docs/automations/bigquery-metadata-sync.md @@ -0,0 +1,177 @@ +import FeatureAvailability from '@site/src/components/FeatureAvailability'; + +# BigQuery Metadata Sync Automation + + + +## Introduction + +BigQuery Metadata Sync is an automation that synchronizes DataHub Tags, Table and Column descriptions, and Column Glossary Terms with +BigQuery. This automation is exclusively available in DataHub Cloud (Acryl). + +## Use-Cases + +- Maintain consistent metadata across DataHub and BigQuery +- Improve data discovery by propagating rich descriptions back to BigQuery +- Enhance data governance by applying Policy Tags based on DataHub Glossary Terms +- Streamline data classification by syncing DataHub Tags to BigQuery Labels +- Facilitate compliance efforts by automatically tagging sensitive data columns +- Support data lineage tracking by keeping metadata aligned across platforms + +## Capabilities + +- Automatically add DataHub Tags as BigQuery Labels to tables +- Automatically add DataHub Table descriptions to BigQuery Tables +- Automatically add DataHub Column descriptions to BigQuery Columns +- Automatically add DataHub Glossary Terms as Policy Tags to BigQuery Columns (under a **DataHub** taxonomy created in BigQuery) +- Automatically remove Policy Tags/Table Labels when removed in DataHub + + +## Required Bigquery Permissions + +| Action | Required Permission(s) | +|--------|------------------------| +| Create/update policy tags and taxonomies | `bigquery.taxonomies.create`
`bigquery.taxonomies.update` | +| Assign/remove policy tags from columns | `bigquery.tables.updateTag` | +| Edit table description | `bigquery.tables.update` | +| Edit column description | `bigquery.tables.update` | +| Assign/remove labels from tables | `bigquery.tables.update` | + +## Enabling BigQuery Sync Automation + +1. **Navigate to Automations**: Click on 'Govern' > 'Automations' in the navigation bar. + +

+ +

+ +2. **Create An Automation**: Click on 'Create' and select 'BigQuery Tag Propagation'. + +

+ +

+ +3. **Configure Automation**: + + 1. **Select a Propagation Action** + +

+ +

+ + | Propagation Type | DataHub Entity | BigQuery Entity | Note | + | -------- | ------- | ------- | ------- | + | Table Tags as Labels | [Table Tag](https://datahubproject.io/docs/tags/) | [BigQuery Label](https://cloud.google.com/bigquery/docs/labels-intro) | - | + | Column Glossary Terms as Policy Tags | [Glossary Term on Table Column](https://datahubproject.io/docs/0.14.0/glossary/business-glossary/) | [Policy Tag](https://cloud.google.com/bigquery/docs/best-practices-policy-tags) |
  • Assigned Policy tags are created under DataHub taxonomy.
  • Only the latest assigned glossary term set as policy tag. BigQuery only supports one assigned policy tag.
  • Policy Tags are not synced to DataHub as glossary term from BigQuery.
+ | Table Descriptions | [Table Description](https://datahubproject.io/docs/api/tutorials/descriptions/) | Table Description | - | + | Column Descriptions | [Column Description](https://datahubproject.io/docs/api/tutorials/descriptions/) | Column Description | - | + + :::note + + You can limit propagation based on specific Tags and Glossary Terms. If none are selected, ALL Tags or Glossary Terms will be automatically propagated to BigQuery tables and columns. (The recommended approach is to not specify a filter to avoid inconsistent states.) + + ::: + + :::note + + - BigQuery supports only one Policy Tag per table field. Consequently, the most recently assigned Glossary Term will be set as the Policy Tag for that field. + - Policy Tags cannot be applied to fields in External tables. Therefore, if a Glossary Term is assigned to a field in an External table, it will not be applied. + + ::: + + 2. **Fill in the required fields to connect to BigQuery, along with the name, description, and category** + +

+ +

+ + 3. **Finally, click 'Save and Run' to start the automation** + +## Propagating for Existing Assets + +To ensure that all existing table Tags and Column Glossary Terms are propagated to BigQuery, you can back-fill historical data for existing assets. Note that the initial back-filling process may take some time, depending on the number of BigQuery assets you have. + +To do so, follow these steps: + +1. Navigate to the Automation you created in Step 3 above +2. Click the 3-dot "More" menu + +

+ +

+ +3. Click "Initialize" + +

+ +

+ +This one-time step will kick off the back-filling process for existing descriptions. If you only want to begin propagating descriptions going forward, you can skip this step. + +## Viewing Propagated Tags + +You can view propagated Tags inside the BigQuery UI to confirm the automation is working as expected. + +

+ +

+ +## Troubleshooting BigQuery Propagation + +### Q: What metadata elements support bi-directional syncing between DataHub and BigQuery? + +A: The following metadata elements support bi-directional syncing: + +- Tags (via BigQuery Labels): Changes made in either DataHub Table Tags or BigQuery Table Labels will be reflected in the other system. +- Descriptions: Both table and column descriptions are synced bi-directionally. + +### Q: Are Policy Tags bi-directionally synced? + +A: No, BigQuery Policy Tags are only propagated from DataHub to BigQuery, not vice versa. This means that Policy Tags should be mastered in DataHub using the [Business Glossary](https://datahubproject.io/docs/glossary/business-glossary/). + +It is recommended to avoid enabling `extract_policy_tags_from_catalog` during +ingestion, as this will ingest policy tags as BigQuery labels. Our sync process +propagates Glossary Term assignments to BigQuery as Policy Tags. + +In a future release, we plan to remove this restriction to support full bi-directional syncing. + +### Q: What metadata is synced from BigQuery to DataHub during ingestion? + +A: During ingestion from BigQuery: + +- Tags and descriptions from BigQuery will be ingested into DataHub. +- Existing Policy Tags in BigQuery will not overwrite or create Business Glossary Terms in DataHub. It only syncs assigned column Glossary Terms from DataHub to BigQuery. + +### Q: Where should I manage my Business Glossary? + +A: The expectation is that you author and manage the glossary in DataHub. Policy tags in BigQuery should be treated as a reflection of the DataHub glossary, not as the primary source of truth. + +### Q: Are there any limitations with Policy Tags in BigQuery? + +A: Yes, BigQuery only supports one Policy Tag per column. If multiple glossary +terms are assigned to a column in DataHub, only the most recently assigned term +will be set as the policy tag in BigQuery. To reduce the scope of conflicts, you +can set up filters in the BigQuery Metadata Sync to only synchronize terms from +a specific area of the Business Glossary. + +### Q: How frequently are changes synced between DataHub and BigQuery? + +A: From DataHub to BigQuery, the sync happens instantly (within a few seconds) +when the change occurs in DataHub. + +From BigQuery to DataHub, changes are synced when ingestion occurs, and the frequency depends on your custom ingestion schedule. (Visible on the **Integrations** page) + +### Q: What happens if there's a conflict between DataHub and BigQuery metadata? + +A: In case of conflicts (e.g., a tag is modified in both systems between syncs), the DataHub version will typically take precedence. However, it's best to make changes in one system consistently to avoid potential conflicts. + +### Q: What permissions are required for bi-directional syncing? + +A: Ensure that the service account used for the automation has the necessary permissions in both DataHub and BigQuery to read and write metadata. See the required BigQuery permissions at the top of the page. + +## Related Documentation + +- [DataHub Tags Documentation](https://datahubproject.io/docs/tags/) +- [DataHub Glossary Documentation](https://datahubproject.io/docs/glossary/business-glossary/) +- [BigQuery Labels Documentation](https://cloud.google.com/bigquery/docs/labels-intro) +- [BigQuery Policy Tags Documentation](https://cloud.google.com/bigquery/docs/best-practices-policy-tags) diff --git a/docs/how/updating-datahub.md b/docs/how/updating-datahub.md index 8911d282f86bbe..db97f7aa81d7bb 100644 --- a/docs/how/updating-datahub.md +++ b/docs/how/updating-datahub.md @@ -33,6 +33,8 @@ This file documents any backwards-incompatible changes in DataHub and assists pe If stateful ingestion is enabled, running ingestion with the latest CLI version will handle the cleanup automatically. Otherwise, we recommend soft deleting all powerbi data via the DataHub CLI: `datahub delete --platform powerbi --soft` and then re-ingest with the latest CLI version, ensuring the `include_workspace_name_in_dataset_urn` configuration is set to true. +- #11701: The Fivetran `sources_to_database` field is deprecated in favor of setting directly within `sources_to_platform_instance..database`. + ### Breaking Changes - #11486 - Deprecated Criterion filters using `value`. Use `values` instead. This also deprecates the ability to use comma delimited string to represent multiple values using `value`. diff --git a/docs/managed-datahub/release-notes/v_0_3_6.md b/docs/managed-datahub/release-notes/v_0_3_6.md index cf1c9ff4e8c6a4..e513a46ace4c53 100644 --- a/docs/managed-datahub/release-notes/v_0_3_6.md +++ b/docs/managed-datahub/release-notes/v_0_3_6.md @@ -48,6 +48,15 @@ If you are using an older CLI/SDK version, then please upgrade it. This applies - Impact analysis and data product assets pages properly show results based on the currently selected view - The New Users section in the Analytics page now tracks actual new users instead of last login - Data Contracts builder now shows custom assertions as expected + - "View in Platform" buttons link location fixed + - Compact search cards unnecessary title truncation fixed + - Domain contents summary updates after domain is changed, without refresh + - Incidents tab updates after an incident is created, updated, or resolved, without refresh + - On lineage visualization, fix lineage expansion through transformation nodes while hiding transformations + - On lineage visualization, fix positioning of query nodes on lineage expansion + - On lineage visualization, cycles in graphs should no longer result in disappearing edges + - Remote executor cleans up temporary files to avoid disk memory leak + - Fixed hover cards when using Compact Card View - Product changes - Show total (nested) asset count on home page Domain cards @@ -68,6 +77,11 @@ If you are using an older CLI/SDK version, then please upgrade it. This applies - Add "Last Updated (in Source)" filter to search - Add "View In \[Source]" button to lineage visualization sidebar - Send test notification button will always be visible in the subscriptions side bar if the user has set their memberID + - On sibling combined entity page, viewing different schema versions no longer supported + - On sibling combined entity page, change history drawer reflects changes to both siblings + - On sibling combined entity sidebar, lineage summary is hidden to avoid confusion + - For siblings combined entity page or search / hover card, multiple "View in Platform" icons should appear if applicable + - Search cards configured to better handle smaller widths - Ingestion changes diff --git a/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/PluginSpec.java b/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/PluginSpec.java index f99dd18d3c9c1f..54ccd3877395fc 100644 --- a/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/PluginSpec.java +++ b/entity-registry/src/main/java/com/linkedin/metadata/aspect/plugins/PluginSpec.java @@ -12,7 +12,7 @@ @AllArgsConstructor @EqualsAndHashCode public abstract class PluginSpec { - protected static String ENTITY_WILDCARD = "*"; + protected static String WILDCARD = "*"; @Nonnull public abstract AspectPluginConfig getConfig(); @@ -50,7 +50,7 @@ protected boolean isEntityAspectSupported( return (getConfig().getSupportedEntityAspectNames().stream() .anyMatch( supported -> - ENTITY_WILDCARD.equals(supported.getEntityName()) + WILDCARD.equals(supported.getEntityName()) || supported.getEntityName().equals(entityName))) && isAspectSupported(aspectName); } @@ -59,13 +59,16 @@ protected boolean isAspectSupported(@Nonnull String aspectName) { return getConfig().getSupportedEntityAspectNames().stream() .anyMatch( supported -> - ENTITY_WILDCARD.equals(supported.getAspectName()) + WILDCARD.equals(supported.getAspectName()) || supported.getAspectName().equals(aspectName)); } protected boolean isChangeTypeSupported(@Nullable ChangeType changeType) { return (changeType == null && getConfig().getSupportedOperations().isEmpty()) || getConfig().getSupportedOperations().stream() - .anyMatch(supported -> supported.equalsIgnoreCase(String.valueOf(changeType))); + .anyMatch( + supported -> + WILDCARD.equals(supported) + || supported.equalsIgnoreCase(String.valueOf(changeType))); } } diff --git a/li-utils/src/main/java/com/linkedin/metadata/Constants.java b/li-utils/src/main/java/com/linkedin/metadata/Constants.java index 8961677b568788..b29741b7322246 100644 --- a/li-utils/src/main/java/com/linkedin/metadata/Constants.java +++ b/li-utils/src/main/java/com/linkedin/metadata/Constants.java @@ -277,7 +277,7 @@ public class Constants { // ExternalRoleMetadata public static final String ROLE_ENTITY_NAME = "role"; - public static final String ACCESS_DATASET_ASPECT_NAME = "access"; + public static final String ACCESS_ASPECT_NAME = "access"; public static final String ROLE_KEY = "roleKey"; public static final String ROLE_PROPERTIES_ASPECT_NAME = "roleProperties"; public static final String ROLE_ACTORS_ASPECT_NAME = "actors"; @@ -458,5 +458,11 @@ public class Constants { // DAO public static final long LATEST_VERSION = 0; + // Logging MDC + public static final String MDC_ENTITY_URN = "entityUrn"; + public static final String MDC_ASPECT_NAME = "aspectName"; + public static final String MDC_ENTITY_TYPE = "entityType"; + public static final String MDC_CHANGE_TYPE = "changeType"; + private Constants() {} } diff --git a/metadata-ingestion-modules/dagster-plugin/setup.py b/metadata-ingestion-modules/dagster-plugin/setup.py index 50450ddd5917af..660dbb2981c516 100644 --- a/metadata-ingestion-modules/dagster-plugin/setup.py +++ b/metadata-ingestion-modules/dagster-plugin/setup.py @@ -13,14 +13,6 @@ def get_long_description(): return pathlib.Path(os.path.join(root, "README.md")).read_text() -rest_common = {"requests", "requests_file"} - -sqlglot_lib = { - # Using an Acryl fork of sqlglot. - # https://github.com/tobymao/sqlglot/compare/main...hsheth2:sqlglot:main?expand=1 - "acryl-sqlglot[rs]==24.0.1.dev7", -} - _version: str = package_metadata["__version__"] _self_pin = ( f"=={_version}" @@ -32,11 +24,7 @@ def get_long_description(): # Actual dependencies. "dagster >= 1.3.3", "dagit >= 1.3.3", - *rest_common, - # Ignoring the dependency below because it causes issues with the vercel built wheel install - # f"acryl-datahub[datahub-rest]{_self_pin}", - "acryl-datahub[datahub-rest]", - *sqlglot_lib, + f"acryl-datahub[datahub-rest,sql-parser]{_self_pin}", } mypy_stubs = { diff --git a/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/client/dagster_generator.py b/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/client/dagster_generator.py index df123b127e0405..2fdd0a41edf6cb 100644 --- a/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/client/dagster_generator.py +++ b/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/client/dagster_generator.py @@ -1,4 +1,5 @@ from dataclasses import dataclass +from datetime import datetime, timezone from logging import Logger from typing import Any, Callable, Dict, List, NamedTuple, Optional, Sequence, Set from urllib.parse import urlsplit @@ -12,6 +13,7 @@ TableSchemaMetadataValue, ) from dagster._core.execution.stats import RunStepKeyStatsSnapshot, StepEventStatus +from datahub.sql_parsing.sqlglot_utils import get_query_fingerprint try: from dagster._core.snap import JobSnapshot # type: ignore[attr-defined] @@ -32,13 +34,22 @@ make_data_platform_urn, make_dataplatform_instance_urn, make_tag_urn, + make_ts_millis, ) from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.ingestion.api.workunit import MetadataWorkUnit from datahub.ingestion.graph.client import DatahubClientConfig, DataHubGraph from datahub.metadata._schema_classes import ( + AuditStampClass, BrowsePathEntryClass, BrowsePathsV2Class, GlobalTagsClass, + QueryLanguageClass, + QueryPropertiesClass, + QuerySourceClass, + QueryStatementClass, + QuerySubjectClass, + QuerySubjectsClass, TagAssociationClass, ) from datahub.metadata.com.linkedin.pegasus2avro.schema import ( @@ -63,6 +74,7 @@ SubTypesClass, UpstreamClass, ) +from datahub.metadata.urns import CorpUserUrn from datahub.specific.dataset import DatasetPatchBuilder from datahub.utilities.urns._urn_base import Urn from datahub.utilities.urns.data_flow_urn import DataFlowUrn @@ -73,6 +85,8 @@ DAGSTER_PLATFORM = "dagster" +_DEFAULT_USER_URN = CorpUserUrn("_ingestion") + class Constant: """ @@ -212,6 +226,16 @@ class DatahubDagsterSourceConfig(DatasetSourceConfigMixin): description="Whether to materialize asset dependency in DataHub. It emits a datasetKey for each dependencies. Default is False.", ) + emit_queries: Optional[bool] = pydantic.Field( + default=False, + description="Whether to emit queries aspects. Default is False.", + ) + + emit_assets: Optional[bool] = pydantic.Field( + default=True, + description="Whether to emit assets aspects. Default is True.", + ) + debug_mode: Optional[bool] = pydantic.Field( default=False, description="Whether to enable debug mode", @@ -243,9 +267,10 @@ def job_url_generator(dagster_url: str, dagster_environment: DagsterEnvironment) return base_url -class DagsterGenerator: - asset_group_name_cache: Dict[str, str] = {} +DATAHUB_ASSET_GROUP_NAME_CACHE: Dict[str, str] = {} + +class DagsterGenerator: def __init__( self, logger: Logger, @@ -298,17 +323,16 @@ def update_asset_group_name_cache( if asset_def: for key, group_name in asset_def.group_names_by_key.items(): asset_urn = self.dataset_urn_from_asset(key.path) - DagsterGenerator.asset_group_name_cache[ - asset_urn.urn() - ] = group_name + DATAHUB_ASSET_GROUP_NAME_CACHE[asset_urn.urn()] = group_name if self.config.debug_mode: self.logger.debug( f"Asset group name cache updated: {asset_urn.urn()} -> {group_name}" ) if self.config.debug_mode: self.logger.debug( - f"Asset group name cache: {DagsterGenerator.asset_group_name_cache}" + f"Asset group name cache: {DATAHUB_ASSET_GROUP_NAME_CACHE}" ) + self.logger.info(f"Asset group name cache: {DATAHUB_ASSET_GROUP_NAME_CACHE}") def path_metadata_resolver(self, value: PathMetadataValue) -> Optional[DatasetUrn]: """ @@ -347,6 +371,8 @@ def generate_dataflow( job_snapshot: JobSnapshot, env: str, platform_instance: Optional[str] = None, + remove_double_underscores: bool = True, + add_asset_group_tag: bool = True, ) -> DataFlow: """ Generates a Dataflow object from an Dagster Job Snapshot @@ -358,17 +384,34 @@ def generate_dataflow( if self.dagster_environment.is_cloud: id = f"{self.dagster_environment.branch}/{self.dagster_environment.module}/{job_snapshot.name}" else: - id = f"{self.dagster_environment.module}/{job_snapshot.name}" + module_name = ( + self.dagster_environment.module + if self.dagster_environment.module + else self.dagster_environment.branch + ) + id = f"{module_name}/{job_snapshot.name}" + + flow_name = job_snapshot.name + if remove_double_underscores and flow_name.split("__"): + flow_name = flow_name.split("__")[-1] dataflow = DataFlow( orchestrator=Constant.ORCHESTRATOR, id=id, env=env, - name=job_snapshot.name, + name=flow_name, platform_instance=platform_instance, ) + dataflow.description = job_snapshot.description dataflow.tags = set(job_snapshot.tags.keys()) + if add_asset_group_tag: + asset_group = self.get_asset_group_from_op_name( + job_snapshot.name.split("__") + ) + if asset_group: + dataflow.tags.add(f"asset_group:{asset_group}") + if self.config.dagster_url: dataflow.url = f"{job_url_generator(dagster_url=self.config.dagster_url, dagster_environment=self.dagster_environment)}/jobs/{job_snapshot.name}" flow_property_bag: Dict[str, str] = {} @@ -386,6 +429,8 @@ def generate_datajob( input_datasets: Dict[str, Set[DatasetUrn]], output_datasets: Dict[str, Set[DatasetUrn]], platform_instance: Optional[str] = None, + remove_double_underscores: bool = True, + add_asset_group_tag: bool = True, ) -> DataJob: """ Generates a Datajob object from an Dagster op snapshot @@ -403,8 +448,13 @@ def generate_datajob( flow_id = f"{self.dagster_environment.branch}/{self.dagster_environment.module}/{job_snapshot.name}" job_id = f"{self.dagster_environment.branch}/{self.dagster_environment.module}/{op_def_snap.name}" else: - flow_id = f"{self.dagster_environment.module}/{job_snapshot.name}" - job_id = f"{self.dagster_environment.module}/{op_def_snap.name}" + module_name = ( + self.dagster_environment.module + if self.dagster_environment.module + else self.dagster_environment.branch + ) + flow_id = f"{module_name}/{job_snapshot.name}" + job_id = f"{module_name}/{op_def_snap.name}" dataflow_urn = DataFlowUrn.create_from_ids( orchestrator=Constant.ORCHESTRATOR, @@ -412,10 +462,15 @@ def generate_datajob( env=env, platform_instance=platform_instance, ) + + job_name = op_def_snap.name + if remove_double_underscores and job_name.split("__"): + job_name = job_name.split("__")[-1] + datajob = DataJob( id=job_id, flow_urn=dataflow_urn, - name=op_def_snap.name, + name=job_name, ) if self.config.dagster_url: @@ -424,6 +479,13 @@ def generate_datajob( datajob.description = op_def_snap.description datajob.tags = set(op_def_snap.tags.keys()) + if add_asset_group_tag: + asset_group = self.get_asset_group_from_op_name( + op_def_snap.name.split("__") + ) + if asset_group: + datajob.tags.add(f"asset_group:{asset_group}") + inlets: Set[DatasetUrn] = set() # Add upstream dependencies for this op for upstream_op_name in step_deps[op_def_snap.name]: @@ -667,9 +729,9 @@ def generate_asset_group_tag( if not target_urn: target_urn = asset_urn self.logger.info( - f"Getting {asset_urn.urn()} from Asset Cache: {DagsterGenerator.asset_group_name_cache}" + f"Getting {asset_urn.urn()} from Asset Cache: {DATAHUB_ASSET_GROUP_NAME_CACHE}" ) - group_name = DagsterGenerator.asset_group_name_cache.get(asset_urn.urn()) + group_name = DATAHUB_ASSET_GROUP_NAME_CACHE.get(asset_urn.urn()) if group_name: current_tags: Optional[GlobalTagsClass] = graph.get_aspect( entity_urn=target_urn.urn(), @@ -698,6 +760,20 @@ def generate_asset_group_tag( return None + def _gen_entity_browsepath_aspect( + self, + entity_urn: str, + paths: List[str], + ) -> MetadataWorkUnit: + entries = [BrowsePathEntryClass(id=path) for path in paths] + if self.config.platform_instance: + urn = make_dataplatform_instance_urn("asset", self.config.platform_instance) + entries = [BrowsePathEntryClass(id=urn, urn=urn)] + entries + return MetadataChangeProposalWrapper( + entityUrn=entity_urn, + aspect=BrowsePathsV2Class(entries), + ).as_workunit() + def emit_asset( self, graph: DataHubGraph, @@ -771,7 +847,8 @@ def emit_asset( origin=DatasetUrn.create_from_string(downstream).env, ), ) - self.logger.info(f"mcp: {mcp}") + if self.config.debug_mode: + self.logger.info(f"mcp: {mcp}") graph.emit_mcp(mcp) patch_builder = DatasetPatchBuilder(downstream) @@ -807,20 +884,38 @@ def emit_asset( for patch_event in patch_builder.build(): graph.emit_mcp(patch_event) - self.logger.info(f"asset_key: {asset_key}") + if self.config.debug_mode: + self.logger.info(f"asset_key: {asset_key}") self.generate_browse_path(asset_key=asset_key, urn=dataset_urn, graph=graph) return dataset_urn + def get_asset_group_from_op_name(self, asset_key: Sequence[str]) -> Optional[str]: + """ + Get asset group name from op name + """ + asset_urn = self.dataset_urn_from_asset(asset_key).urn() + asset_group_name = DATAHUB_ASSET_GROUP_NAME_CACHE.get(asset_urn) + if asset_group_name: + self.logger.info( + f"asset_key: {asset_key}, urn: {asset_urn}, asset_group_name: {asset_group_name}" + ) + return asset_group_name + else: + self.logger.info( + f"asset_key: {asset_key}, urn: {asset_urn} not in {DATAHUB_ASSET_GROUP_NAME_CACHE}, asset_group_name: None" + ) + + return None + def generate_browse_path( self, asset_key: Sequence[str], urn: Urn, graph: DataHubGraph ) -> None: """ Generate browse path from asset key """ - asset_group_name = DagsterGenerator.asset_group_name_cache.get( - self.dataset_urn_from_asset(asset_key).urn() - ) browsePaths: List[BrowsePathEntryClass] = [] + + asset_group_name = self.get_asset_group_from_op_name(asset_key) if asset_group_name: browsePaths.append(BrowsePathEntryClass(asset_group_name)) @@ -834,3 +929,51 @@ def generate_browse_path( ), ) graph.emit_mcp(mcp) + + def gen_query_aspect( + self, + graph: DataHubGraph, + platform: str, + query_subject_urns: List[str], + query: str, + job_urn: Optional[str] = None, + ) -> None: + """ + Generate query aspect for lineage + """ + query_id = get_query_fingerprint(query, platform) + + aspects = [ + QueryPropertiesClass( + statement=QueryStatementClass( + value=query, + language=QueryLanguageClass.SQL, + ), + source=QuerySourceClass.SYSTEM, + origin=job_urn if job_urn else None, + created=AuditStampClass( + make_ts_millis(datetime.now(tz=timezone.utc)), + actor=_DEFAULT_USER_URN.urn(), + ), + lastModified=AuditStampClass( + make_ts_millis(datetime.now(tz=timezone.utc)), + actor=_DEFAULT_USER_URN.urn(), + ), + ), + QuerySubjectsClass( + subjects=[QuerySubjectClass(entity=urn) for urn in query_subject_urns] + ), + DataPlatformInstanceClass( + platform=make_data_platform_urn(platform), + ), + SubTypesClass( + typeNames=["Query"], + ), + ] + + mcps = MetadataChangeProposalWrapper.construct_many( + entityUrn=f"urn:li:query:dagster_{query_id}", + aspects=aspects, + ) + for mcp in mcps: + graph.emit_mcp(mcp) diff --git a/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/sensors/datahub_sensors.py b/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/sensors/datahub_sensors.py index ebb2c82d952b1f..f6b0629b7ca7b9 100644 --- a/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/sensors/datahub_sensors.py +++ b/metadata-ingestion-modules/dagster-plugin/src/datahub_dagster_plugin/sensors/datahub_sensors.py @@ -46,8 +46,10 @@ create_lineage_sql_parsed_result, ) from datahub.utilities.urns.dataset_urn import DatasetUrn +from datahub.utilities.urns.error import InvalidUrnError from datahub_dagster_plugin.client.dagster_generator import ( + DATAHUB_ASSET_GROUP_NAME_CACHE, Constant, DagsterEnvironment, DagsterGenerator, @@ -268,7 +270,6 @@ def get_dagster_environment( module = code_pointer.module else: context.log.error("Unable to get Module") - return None dagster_environment = DagsterEnvironment( is_cloud=os.getenv("DAGSTER_CLOUD_IS_BRANCH_DEPLOYMENT", None) is not None, @@ -326,100 +327,188 @@ def process_asset_materialization( dataset_inputs: Dict[str, Set[DatasetUrn]], dataset_outputs: Dict[str, Set[DatasetUrn]], ) -> None: - if ( - log.dagster_event - and log.dagster_event.event_type == DagsterEventType.ASSET_MATERIALIZATION - ): - assert log.step_key + if not self._is_valid_asset_materialization(log): + return - materialization = log.asset_materialization - if not materialization: - return + asset_materialization = log.asset_materialization + if asset_materialization is None: + return - properties = { - key: str(value) for (key, value) in materialization.metadata.items() - } - asset_key = materialization.asset_key.path + asset_key = asset_materialization.asset_key.path + asset_downstream_urn = self._get_asset_downstream_urn( + log, context, dagster_generator, list(asset_key) + ) - asset_downstream_urn: Optional[DatasetUrn] = None - # If DataHub Urn is set then we prefer that as downstream urn - if materialization.metadata.get("datahub_urn") and isinstance( - materialization.metadata.get("datahub_urn"), TextMetadataValue - ): - try: - asset_downstream_urn = DatasetUrn.from_string( - str(materialization.metadata["datahub_urn"].text) - ) - context.log.info( - f"asset_downstream_urn from metadata datahub_urn: {asset_downstream_urn}" - ) - except Exception as e: - context.log.error(f"Error in parsing datahub_urn: {e}") + if not asset_downstream_urn: + return + + properties = { + key: str(value) for (key, value) in asset_materialization.metadata.items() + } + upstreams, downstreams = self._process_lineage( + context=context, + dagster_generator=dagster_generator, + log=log, + asset_downstream_urn=asset_downstream_urn, + ) + + self._emit_or_connect_asset( + context, + dagster_generator, + log, + list(asset_key), + properties, + upstreams, + downstreams, + dataset_inputs, + dataset_outputs, + ) - if not asset_downstream_urn: - asset_downstream_urn = ( - dagster_generator.asset_keys_to_dataset_urn_converter(asset_key) + def _is_valid_asset_materialization(self, log: EventLogEntry) -> bool: + return ( + log.dagster_event is not None + and log.dagster_event.event_type == DagsterEventType.ASSET_MATERIALIZATION + and log.step_key is not None + and log.asset_materialization is not None + ) + + def _get_asset_downstream_urn( + self, + log: EventLogEntry, + context: RunStatusSensorContext, + dagster_generator: DagsterGenerator, + asset_key: List[str], + ) -> Optional[DatasetUrn]: + materialization = log.asset_materialization + if materialization is None: + return None + + asset_downstream_urn: Optional[DatasetUrn] = None + + if materialization.metadata.get("datahub_urn") and isinstance( + materialization.metadata.get("datahub_urn"), TextMetadataValue + ): + try: + asset_downstream_urn = DatasetUrn.from_string( + str(materialization.metadata["datahub_urn"].text) ) context.log.info( - f"asset_downstream_urn from asset keys: {asset_downstream_urn}" + f"asset_downstream_urn from metadata datahub_urn: {asset_downstream_urn}" ) + except Exception as e: + context.log.error(f"Error in parsing datahub_urn: {e}") + + if not asset_downstream_urn: + asset_downstream_urn = ( + dagster_generator.asset_keys_to_dataset_urn_converter(asset_key) + ) + context.log.info( + f"asset_downstream_urn from asset keys: {asset_downstream_urn}" + ) - if asset_downstream_urn: - context.log.info(f"asset_downstream_urn: {asset_downstream_urn}") + return asset_downstream_urn - downstreams = {asset_downstream_urn.urn()} - context.log.info(f"downstreams: {downstreams}") - upstreams: Set[str] = set() - if self.config.enable_asset_query_metadata_parsing: - try: - if ( - materialization - and materialization.metadata - and materialization.metadata.get("Query") - and isinstance( - materialization.metadata.get("Query"), TextMetadataValue - ) - ): - query_metadata = materialization.metadata.get("Query") - assert query_metadata - lineage = self.parse_sql( - context=context, - sql_query=str(query_metadata.text), - env=asset_downstream_urn.env, - platform=asset_downstream_urn.platform.replace( - "urn:li:dataPlatform:", "" - ), + def _process_lineage( + self, + context: RunStatusSensorContext, + dagster_generator: DagsterGenerator, + log: EventLogEntry, + asset_downstream_urn: DatasetUrn, + ) -> Tuple[Set[str], Set[str]]: + downstreams = {asset_downstream_urn.urn()} + upstreams: Set[str] = set() + + if ( + log.asset_materialization + and self.config.enable_asset_query_metadata_parsing + ): + try: + query_metadata = log.asset_materialization.metadata.get("Query") + if isinstance(query_metadata, TextMetadataValue): + lineage = self.parse_sql( + context=context, + sql_query=str(query_metadata.text), + env=asset_downstream_urn.env, + platform=asset_downstream_urn.platform.replace( + "urn:li:dataPlatform:", "" + ), + ) + if lineage and lineage.downstreams: + if self.config.emit_queries: + dagster_generator.gen_query_aspect( + graph=self.graph, + platform=asset_downstream_urn.platform, + query_subject_urns=lineage.upstreams + + lineage.downstreams, + query=str(query_metadata.text), ) - # To make sure we don't process select queries check if downstream is present - if lineage and lineage.downstreams: - downstreams = downstreams.union( - set(lineage.downstreams) - ) - upstreams = upstreams.union(set(lineage.upstreams)) - context.log.info( - f"Upstreams: {upstreams} Downstreams: {downstreams}" - ) - else: - context.log.info( - f"Lineage not found for {query_metadata.text}" - ) - else: - context.log.info("Query not found in metadata") - except Exception as e: - context.log.info(f"Error in processing asset logs: {e}") - - # Emitting asset with upstreams and downstreams - dataset_urn = dagster_generator.emit_asset( - self.graph, - asset_key, - materialization.description, - properties, - downstreams=downstreams, - upstreams=upstreams, - materialize_dependencies=self.config.materialize_dependencies, + downstreams = downstreams.union(set(lineage.downstreams)) + upstreams = upstreams.union(set(lineage.upstreams)) + context.log.info( + f"Upstreams: {upstreams} Downstreams: {downstreams}" + ) + else: + context.log.info(f"Lineage not found for {query_metadata.text}") + else: + context.log.info("Query not found in metadata") + except Exception as e: + context.log.exception(f"Error in processing asset logs: {e}") + + return upstreams, downstreams + + def _emit_or_connect_asset( + self, + context: RunStatusSensorContext, + dagster_generator: DagsterGenerator, + log: EventLogEntry, + asset_key: List[str], + properties: Dict[str, str], + upstreams: Set[str], + downstreams: Set[str], + dataset_inputs: Dict[str, Set[DatasetUrn]], + dataset_outputs: Dict[str, Set[DatasetUrn]], + ) -> None: + if self.config.emit_assets: + context.log.info("Emitting asset metadata...") + dataset_urn = dagster_generator.emit_asset( + self.graph, + asset_key, + log.asset_materialization.description + if log.asset_materialization + else None, + properties, + downstreams=downstreams, + upstreams=upstreams, + materialize_dependencies=self.config.materialize_dependencies, + ) + if log.step_key: + dataset_outputs[log.step_key].add(dataset_urn) + else: + context.log.info( + "Not emitting assets but connecting materialized dataset to DataJobs" + ) + if log.step_key: + dataset_outputs[log.step_key] = dataset_outputs[log.step_key].union( + [DatasetUrn.from_string(d) for d in downstreams] ) - dataset_outputs[log.step_key].add(dataset_urn) + dataset_upstreams: List[DatasetUrn] = [] + + for u in upstreams: + try: + dataset_upstreams.append(DatasetUrn.from_string(u)) + except InvalidUrnError as e: + context.log.error( + f"Error in parsing upstream dataset urn: {e}", exc_info=True + ) + continue + + dataset_inputs[log.step_key] = dataset_inputs[log.step_key].union( + dataset_upstreams + ) + context.log.info( + f"Dataset Inputs: {dataset_inputs[log.step_key]} Dataset Outputs: {dataset_outputs[log.step_key]}" + ) def process_asset_observation( self, @@ -593,7 +682,9 @@ def _emit_asset_metadata( dagster_environment=dagster_environment, ) - context.log.info("Emitting asset metadata...") + context.log.info( + f"Updating asset group name cache... {DATAHUB_ASSET_GROUP_NAME_CACHE}" + ) dagster_generator.update_asset_group_name_cache(context) return SkipReason("Asset metadata processed") @@ -681,10 +772,21 @@ def _emit_metadata( platform_instance=self.config.platform_instance, ) + if ( + dataflow.name + and dataflow.name.startswith("__ASSET_JOB") + and dataflow.name.split("__") + ): + dagster_generator.generate_browse_path( + dataflow.name.split("__"), urn=dataflow.urn, graph=self.graph + ) + dataflow.name = dataflow.name.split("__")[-1] + dataflow.emit(self.graph) if self.config.debug_mode: for mcp in dataflow.generate_mcp(): - context.log.debug(f"Emitted MCP: {mcp}") + if self.config.debug_mode: + context.log.debug(f"Emitted MCP: {mcp}") # Emit dagster job run which get mapped with datahub data process instance entity dagster_generator.emit_job_run( @@ -721,6 +823,16 @@ def _emit_metadata( input_datasets=dataset_inputs, ) + if ( + datajob.name + and datajob.name.startswith("__ASSET_JOB") + and datajob.name.split("__") + ): + dagster_generator.generate_browse_path( + datajob.name.split("__"), urn=datajob.urn, graph=self.graph + ) + datajob.name = datajob.name.split("__")[-1] + datajob.emit(self.graph) if self.config.debug_mode: diff --git a/metadata-ingestion-modules/dagster-plugin/tests/unit/conftest.py b/metadata-ingestion-modules/dagster-plugin/tests/unit/conftest.py new file mode 100644 index 00000000000000..5b9442d048672b --- /dev/null +++ b/metadata-ingestion-modules/dagster-plugin/tests/unit/conftest.py @@ -0,0 +1,21 @@ +import pathlib +import site +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from _pytest.config import Parser + + +def pytest_addoption(parser: "Parser") -> None: + parser.addoption( + "--update-golden-files", + action="store_true", + default=False, + ) + + +# See https://coverage.readthedocs.io/en/latest/subprocess.html#configuring-python-for-sub-process-measurement +coverage_startup_code = "import coverage; coverage.process_startup()" +site_packages_dir = pathlib.Path(site.getsitepackages()[0]) +pth_file_path = site_packages_dir / "datahub_coverage_startup.pth" +pth_file_path.write_text(coverage_startup_code) diff --git a/metadata-ingestion-modules/dagster-plugin/tests/unit/golden/golden_test_emit_metadata_mcps.json b/metadata-ingestion-modules/dagster-plugin/tests/unit/golden/golden_test_emit_metadata_mcps.json new file mode 100644 index 00000000000000..afd67422d15641 --- /dev/null +++ b/metadata-ingestion-modules/dagster-plugin/tests/unit/golden/golden_test_emit_metadata_mcps.json @@ -0,0 +1,658 @@ +[ +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "dataFlowInfo", + "aspect": { + "json": { + "customProperties": {}, + "name": "etl", + "env": "PROD" + } + } +}, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "ownership", + "aspect": { + "json": { + "owners": [], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:dagster" + } + } + } +}, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [] + } + } +}, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "dataFlowInfo", + "aspect": { + "json": { + "customProperties": {}, + "name": "etl", + "env": "PROD" + } + } +}, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "ownership", + "aspect": { + "json": { + "owners": [], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:dagster" + } + } + } +}, +{ + "entityType": "dataFlow", + "entityUrn": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [] + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:0fa780ff92120ac3bf49d0bc070bbda2", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceProperties", + "aspect": { + "json": { + "customProperties": { + "job_snapshot_id": "28d03bf7b3138bea153a21f70f29e7c3ffa6ab0a", + "execution_plan_snapshot_id": "0f504b218cd28750ffa8d90a40e9647acba72021", + "has_repository_load_data": "False", + "tags": "{}", + "steps_succeeded": "2", + "steps_failed": "0", + "materializations": "0", + "expectations": "0", + "start_time": "1720681200.0", + "end_time": "1720681200.0" + }, + "name": "12345678123456781234567812345678", + "type": "BATCH_SCHEDULED", + "created": { + "time": 1720681200000, + "actor": "urn:li:corpuser:datahub" + } + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "dataJobInfo", + "aspect": { + "json": { + "customProperties": { + "output_result": "{'name': 'result', 'dagster_type_key': 'Any', 'description': None, 'is_required': True, 'metadata': {'datahub.outputs': JsonMetadataValue(data=['urn:li:dataset:(urn:li:dataPlatform:snowflake,tableB,PROD)'])}, 'is_dynamic': False}" + }, + "name": "extract", + "type": { + "string": "COMMAND" + }, + "env": "PROD" + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:0fa780ff92120ac3bf49d0bc070bbda2", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRelationships", + "aspect": { + "json": { + "parentTemplate": "urn:li:dataFlow:(dagster,prod/etl,PROD)", + "upstreamInstances": [] + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:0fa780ff92120ac3bf49d0bc070bbda2", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRunEvent", + "aspect": { + "json": { + "timestampMillis": 1720681200000, + "partitionSpec": { + "partition": "FULL_TABLE_SNAPSHOT", + "type": "FULL_TABLE" + }, + "status": "STARTED" + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:0fa780ff92120ac3bf49d0bc070bbda2", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRunEvent", + "aspect": { + "json": { + "timestampMillis": 1720681200000, + "partitionSpec": { + "partition": "FULL_TABLE_SNAPSHOT", + "type": "FULL_TABLE" + }, + "status": "COMPLETE", + "result": { + "type": "SUCCESS", + "nativeResultType": "dagster" + } + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "dataJobInputOutput", + "aspect": { + "json": { + "inputDatasets": [], + "outputDatasets": [], + "inputDatajobs": [], + "fineGrainedLineages": [] + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "ownership", + "aspect": { + "json": { + "owners": [], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:dagster" + } + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [] + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "dataJobInfo", + "aspect": { + "json": { + "customProperties": { + "output_result": "{'name': 'result', 'dagster_type_key': 'Any', 'description': None, 'is_required': True, 'metadata': {'datahub.outputs': JsonMetadataValue(data=['urn:li:dataset:(urn:li:dataPlatform:snowflake,tableB,PROD)'])}, 'is_dynamic': False}" + }, + "name": "extract", + "type": { + "string": "COMMAND" + }, + "env": "PROD" + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "dataJobInputOutput", + "aspect": { + "json": { + "inputDatasets": [], + "outputDatasets": [], + "inputDatajobs": [], + "fineGrainedLineages": [] + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "ownership", + "aspect": { + "json": { + "owners": [], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:dagster" + } + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [] + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "dataJobInfo", + "aspect": { + "json": { + "customProperties": { + "input.data": "{'name': 'data', 'dagster_type_key': 'Any', 'description': None, 'metadata': {'datahub.inputs': JsonMetadataValue(data=['urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)'])}}", + "output_result": "{'name': 'result', 'dagster_type_key': 'Any', 'description': None, 'is_required': True, 'metadata': {}, 'is_dynamic': False}" + }, + "name": "transform", + "type": { + "string": "COMMAND" + }, + "env": "PROD" + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "dataJobInputOutput", + "aspect": { + "json": { + "inputDatasets": [ + "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)" + ], + "outputDatasets": [], + "inputDatajobs": [], + "fineGrainedLineages": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetKey", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake", + "name": "tableA", + "origin": "PROD" + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:8e047f916b20c89e1874518890d6ff7e", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceProperties", + "aspect": { + "json": { + "customProperties": { + "step_key": "extract", + "attempts": "1", + "start_time": "1720681200.0", + "end_time": "1720681200.0" + }, + "name": "12345678123456781234567812345678.prod/extract", + "type": "BATCH_SCHEDULED", + "created": { + "time": 1720681200000, + "actor": "urn:li:corpuser:datahub" + } + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "ownership", + "aspect": { + "json": { + "owners": [], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:dagster" + } + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:8e047f916b20c89e1874518890d6ff7e", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRelationships", + "aspect": { + "json": { + "parentTemplate": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/extract)", + "upstreamInstances": [] + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [] + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:8e047f916b20c89e1874518890d6ff7e", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRunEvent", + "aspect": { + "json": { + "timestampMillis": 1720681200000, + "partitionSpec": { + "partition": "FULL_TABLE_SNAPSHOT", + "type": "FULL_TABLE" + }, + "status": "STARTED" + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:8e047f916b20c89e1874518890d6ff7e", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRunEvent", + "aspect": { + "json": { + "timestampMillis": 1720681200000, + "partitionSpec": { + "partition": "FULL_TABLE_SNAPSHOT", + "type": "FULL_TABLE" + }, + "status": "COMPLETE", + "result": { + "type": "SUCCESS", + "nativeResultType": "dagster" + } + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "dataJobInfo", + "aspect": { + "json": { + "customProperties": { + "input.data": "{'name': 'data', 'dagster_type_key': 'Any', 'description': None, 'metadata': {'datahub.inputs': JsonMetadataValue(data=['urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)'])}}", + "output_result": "{'name': 'result', 'dagster_type_key': 'Any', 'description': None, 'is_required': True, 'metadata': {}, 'is_dynamic': False}" + }, + "name": "transform", + "type": { + "string": "COMMAND" + }, + "env": "PROD" + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "dataJobInputOutput", + "aspect": { + "json": { + "inputDatasets": [ + "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)" + ], + "outputDatasets": [], + "inputDatajobs": [], + "fineGrainedLineages": [] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetKey", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake", + "name": "tableA", + "origin": "PROD" + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "ownership", + "aspect": { + "json": { + "owners": [], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:dagster" + } + } + } +}, +{ + "entityType": "dataJob", + "entityUrn": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [] + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:6d553b12b2e5bf4cff8dc527e12e7116", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceProperties", + "aspect": { + "json": { + "customProperties": { + "step_key": "transform", + "attempts": "1", + "start_time": "1720681200.0", + "end_time": "1720681200.0" + }, + "name": "12345678123456781234567812345678.prod/transform", + "type": "BATCH_SCHEDULED", + "created": { + "time": 1720681200000, + "actor": "urn:li:corpuser:datahub" + } + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)", + "changeType": "UPSERT", + "aspectName": "datasetKey", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake", + "name": "tableA", + "origin": "PROD" + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:6d553b12b2e5bf4cff8dc527e12e7116", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRelationships", + "aspect": { + "json": { + "parentTemplate": "urn:li:dataJob:(urn:li:dataFlow:(dagster,prod/etl,PROD),prod/transform)", + "upstreamInstances": [] + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:6d553b12b2e5bf4cff8dc527e12e7116", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceInput", + "aspect": { + "json": { + "inputs": [ + "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)" + ] + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:6d553b12b2e5bf4cff8dc527e12e7116", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRunEvent", + "aspect": { + "json": { + "timestampMillis": 1720681200000, + "partitionSpec": { + "partition": "FULL_TABLE_SNAPSHOT", + "type": "FULL_TABLE" + }, + "status": "STARTED" + } + } +}, +{ + "entityType": "dataProcessInstance", + "entityUrn": "urn:li:dataProcessInstance:6d553b12b2e5bf4cff8dc527e12e7116", + "changeType": "UPSERT", + "aspectName": "dataProcessInstanceRunEvent", + "aspect": { + "json": { + "timestampMillis": 1720681200000, + "partitionSpec": { + "partition": "FULL_TABLE_SNAPSHOT", + "type": "FULL_TABLE" + }, + "status": "COMPLETE", + "result": { + "type": "SUCCESS", + "nativeResultType": "dagster" + } + } + } +} +] \ No newline at end of file diff --git a/metadata-ingestion-modules/dagster-plugin/tests/unit/test_dagster.py b/metadata-ingestion-modules/dagster-plugin/tests/unit/test_dagster.py index ac46cfd86fbb98..c951b959f85d43 100644 --- a/metadata-ingestion-modules/dagster-plugin/tests/unit/test_dagster.py +++ b/metadata-ingestion-modules/dagster-plugin/tests/unit/test_dagster.py @@ -1,6 +1,11 @@ +import json +import pathlib +import tempfile +import uuid +from typing import Dict, List, Mapping, Sequence, Set from unittest.mock import Mock, patch -import pytest +import dagster._core.utils from dagster import ( DagsterInstance, In, @@ -11,12 +16,16 @@ job, op, ) -from datahub.api.entities.dataprocess.dataprocess_instance import ( - DataProcessInstanceKey, - InstanceRunResult, +from dagster._core.definitions.job_definition import JobDefinition +from dagster._core.definitions.repository_definition import ( + RepositoryData, + RepositoryDefinition, ) -from datahub.configuration.source_common import DEFAULT_ENV +from dagster._core.definitions.resource_definition import ResourceDefinition +from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.ingestion.graph.client import DatahubClientConfig +from freezegun import freeze_time +from utils.utils import PytestConfig, check_golden_file from datahub_dagster_plugin.client.dagster_generator import DatahubDagsterSourceConfig from datahub_dagster_plugin.sensors.datahub_sensors import ( @@ -24,12 +33,49 @@ make_datahub_sensor, ) +FROZEN_TIME = "2024-07-11 07:00:00" -@patch("datahub.ingestion.graph.client.DataHubGraph", autospec=True) -@pytest.mark.skip(reason="disabling this test unti it will use proper golden files") +call_num = 0 + + +def make_new_run_id_mock() -> str: + global call_num + call_num += 1 + return f"test_run_id_{call_num}" + + +dagster._core.utils.make_new_run_id = make_new_run_id_mock + + +@patch("datahub_dagster_plugin.sensors.datahub_sensors.DataHubGraph", autospec=True) def test_datahub_sensor(mock_emit): instance = DagsterInstance.ephemeral() - context = build_sensor_context(instance=instance) + + class DummyRepositoryData(RepositoryData): + def __init__(self): + self.sensors = [] + + def get_all_jobs(self) -> Sequence["JobDefinition"]: + return [] + + def get_top_level_resources(self) -> Mapping[str, "ResourceDefinition"]: + """Return all top-level resources in the repository as a list, + such as those provided to the Definitions constructor. + + Returns: + List[ResourceDefinition]: All top-level resources in the repository. + """ + return {} + + def get_env_vars_by_top_level_resource(self) -> Mapping[str, Set[str]]: + return {} + + repository_defintion = RepositoryDefinition( + name="testRepository", repository_data=DummyRepositoryData() + ) + context = build_sensor_context( + instance=instance, repository_def=repository_defintion + ) mock_emit.return_value = Mock() config = DatahubDagsterSourceConfig( @@ -44,9 +90,13 @@ def test_datahub_sensor(mock_emit): assert isinstance(skip_reason, SkipReason) -@patch("datahub_dagster_plugin.sensors.datahub_sensors.DatahubClient", autospec=True) -@pytest.mark.skip(reason="disabling this test unti it will use proper golden files") -def test_emit_metadata(mock_emit): +TEST_UUIDS = ["uuid_{}".format(i) for i in range(10000)] + + +@patch.object(uuid, "uuid4", side_effect=TEST_UUIDS) +@patch("datahub_dagster_plugin.sensors.datahub_sensors.DataHubGraph", autospec=True) +@freeze_time(FROZEN_TIME) +def test_emit_metadata(mock_emit: Mock, pytestconfig: PytestConfig) -> None: mock_emitter = Mock() mock_emit.return_value = mock_emitter @@ -87,7 +137,8 @@ def etl(): transform(extract()) instance = DagsterInstance.ephemeral() - result = etl.execute_in_process(instance=instance) + test_run_id = "12345678123456781234567812345678" + result = etl.execute_in_process(instance=instance, run_id=test_run_id) # retrieve the DagsterRun dagster_run = result.dagster_run @@ -103,201 +154,25 @@ def etl(): dagster_event=dagster_event, ) - DatahubSensors()._emit_metadata(run_status_sensor_context) - - expected_dataflow_urn = ( - f"urn:li:dataFlow:(dagster,{dagster_run.job_name},{DEFAULT_ENV})" - ) - assert mock_emitter.method_calls[1][1][0].aspectName == "dataFlowInfo" - assert mock_emitter.method_calls[1][1][0].entityUrn == expected_dataflow_urn - assert mock_emitter.method_calls[2][1][0].aspectName == "ownership" - assert mock_emitter.method_calls[2][1][0].entityUrn == expected_dataflow_urn - assert mock_emitter.method_calls[3][1][0].aspectName == "globalTags" - assert mock_emitter.method_calls[3][1][0].entityUrn == expected_dataflow_urn - - dpi_id = DataProcessInstanceKey( - cluster=DEFAULT_ENV, - orchestrator="dagster", - id=dagster_run.run_id, - ).guid() - assert ( - mock_emitter.method_calls[7][1][0].aspectName == "dataProcessInstanceProperties" - ) - assert ( - mock_emitter.method_calls[7][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[8][1][0].aspectName - == "dataProcessInstanceRelationships" - ) - assert ( - mock_emitter.method_calls[8][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[9][1][0].aspectName == "dataProcessInstanceRunEvent" - ) - assert ( - mock_emitter.method_calls[9][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[10][1][0].aspectName == "dataProcessInstanceRunEvent" - ) - assert ( - mock_emitter.method_calls[10][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[10][1][0].aspect.result.type - == InstanceRunResult.SUCCESS - ) - assert mock_emitter.method_calls[11][1][0].aspectName == "dataJobInfo" - assert ( - mock_emitter.method_calls[11][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},extract)" - ) - assert mock_emitter.method_calls[12][1][0].aspectName == "dataJobInputOutput" - assert ( - mock_emitter.method_calls[12][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},extract)" - ) - assert mock_emitter.method_calls[13][1][0].aspectName == "status" - assert ( - mock_emitter.method_calls[13][1][0].entityUrn - == "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableB,PROD)" - ) - assert mock_emitter.method_calls[14][1][0].aspectName == "ownership" - assert ( - mock_emitter.method_calls[14][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},extract)" - ) - assert mock_emitter.method_calls[15][1][0].aspectName == "globalTags" - assert ( - mock_emitter.method_calls[15][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},extract)" - ) - dpi_id = DataProcessInstanceKey( - cluster=DEFAULT_ENV, - orchestrator="dagster", - id=f"{dagster_run.run_id}.extract", - ).guid() - assert ( - mock_emitter.method_calls[21][1][0].aspectName - == "dataProcessInstanceProperties" - ) - assert ( - mock_emitter.method_calls[21][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[22][1][0].aspectName - == "dataProcessInstanceRelationships" - ) - assert ( - mock_emitter.method_calls[22][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert mock_emitter.method_calls[23][1][0].aspectName == "dataProcessInstanceOutput" - assert ( - mock_emitter.method_calls[23][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert mock_emitter.method_calls[24][1][0].aspectName == "status" - assert ( - mock_emitter.method_calls[24][1][0].entityUrn - == "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableB,PROD)" - ) - assert ( - mock_emitter.method_calls[25][1][0].aspectName == "dataProcessInstanceRunEvent" - ) - assert ( - mock_emitter.method_calls[25][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[26][1][0].aspectName == "dataProcessInstanceRunEvent" - ) - assert ( - mock_emitter.method_calls[26][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[26][1][0].aspect.result.type - == InstanceRunResult.SUCCESS - ) - assert mock_emitter.method_calls[27][1][0].aspectName == "dataJobInfo" - assert ( - mock_emitter.method_calls[27][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},transform)" - ) - assert mock_emitter.method_calls[28][1][0].aspectName == "dataJobInputOutput" - assert ( - mock_emitter.method_calls[28][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},transform)" - ) - assert mock_emitter.method_calls[29][1][0].aspectName == "status" - assert ( - mock_emitter.method_calls[29][1][0].entityUrn - == "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)" - ) - assert mock_emitter.method_calls[30][1][0].aspectName == "ownership" - assert ( - mock_emitter.method_calls[30][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},transform)" - ) - assert mock_emitter.method_calls[31][1][0].aspectName == "globalTags" - assert ( - mock_emitter.method_calls[31][1][0].entityUrn - == f"urn:li:dataJob:({expected_dataflow_urn},transform)" - ) - dpi_id = DataProcessInstanceKey( - cluster=DEFAULT_ENV, - orchestrator="dagster", - id=f"{dagster_run.run_id}.transform", - ).guid() - assert ( - mock_emitter.method_calls[37][1][0].aspectName - == "dataProcessInstanceProperties" - ) - assert ( - mock_emitter.method_calls[37][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[38][1][0].aspectName - == "dataProcessInstanceRelationships" - ) - assert ( - mock_emitter.method_calls[38][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert mock_emitter.method_calls[39][1][0].aspectName == "dataProcessInstanceInput" - assert ( - mock_emitter.method_calls[39][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert mock_emitter.method_calls[40][1][0].aspectName == "status" - assert ( - mock_emitter.method_calls[40][1][0].entityUrn - == "urn:li:dataset:(urn:li:dataPlatform:snowflake,tableA,PROD)" - ) - assert ( - mock_emitter.method_calls[41][1][0].aspectName == "dataProcessInstanceRunEvent" - ) - assert ( - mock_emitter.method_calls[41][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[42][1][0].aspectName == "dataProcessInstanceRunEvent" - ) - assert ( - mock_emitter.method_calls[42][1][0].entityUrn - == f"urn:li:dataProcessInstance:{dpi_id}" - ) - assert ( - mock_emitter.method_calls[42][1][0].aspect.result.type - == InstanceRunResult.SUCCESS - ) + with tempfile.TemporaryDirectory() as tmp_path: + DatahubSensors()._emit_metadata(run_status_sensor_context) + mcpws: List[Dict] = [] + for mock_call in mock_emitter.method_calls: + if not mock_call.args: + continue + mcpw = mock_call.args[0] + if isinstance(mcpw, MetadataChangeProposalWrapper): + mcpws.append(mcpw.to_obj(simplified_structure=True)) + + with open(f"{tmp_path}/test_emit_metadata_mcps.json", "w") as f: + json_object = json.dumps(mcpws, indent=2) + f.write(json_object) + + check_golden_file( + pytestconfig=pytestconfig, + output_path=pathlib.Path(f"{tmp_path}/test_emit_metadata_mcps.json"), + golden_path=pathlib.Path( + "tests/unit/golden/golden_test_emit_metadata_mcps.json" + ), + ignore_paths=["root[*]['systemMetadata']['created']"], + ) diff --git a/metadata-ingestion-modules/dagster-plugin/tests/unit/utils/__init__.py b/metadata-ingestion-modules/dagster-plugin/tests/unit/utils/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/metadata-ingestion-modules/dagster-plugin/tests/unit/utils/utils.py b/metadata-ingestion-modules/dagster-plugin/tests/unit/utils/utils.py new file mode 100644 index 00000000000000..79e8b758bd0c01 --- /dev/null +++ b/metadata-ingestion-modules/dagster-plugin/tests/unit/utils/utils.py @@ -0,0 +1,30 @@ +import pathlib +from typing import Sequence + +from datahub.testing.compare_metadata_json import assert_metadata_files_equal + +try: + from pytest import Config as PytestConfig # type: ignore[attr-defined] +except ImportError: + # Support for pytest 6.x. + from _pytest.config import Config as PytestConfig # type: ignore + +__all__ = ["PytestConfig"] + + +def check_golden_file( + pytestconfig: PytestConfig, + output_path: pathlib.Path, + golden_path: pathlib.Path, + ignore_paths: Sequence[str] = (), +) -> None: + update_golden = pytestconfig.getoption("--update-golden-files") + + assert_metadata_files_equal( + output_path=output_path, + golden_path=golden_path, + update_golden=update_golden, + copy_output=False, + ignore_paths=ignore_paths, + ignore_order=True, + ) diff --git a/metadata-ingestion-modules/prefect-plugin/src/prefect_datahub/datahub_emitter.py b/metadata-ingestion-modules/prefect-plugin/src/prefect_datahub/datahub_emitter.py index 5991503416aec7..8617381cf16139 100644 --- a/metadata-ingestion-modules/prefect-plugin/src/prefect_datahub/datahub_emitter.py +++ b/metadata-ingestion-modules/prefect-plugin/src/prefect_datahub/datahub_emitter.py @@ -155,12 +155,11 @@ async def _get_flow_run_graph(self, flow_run_id: str) -> Optional[List[Dict]]: The flow run graph in json format. """ try: - response = orchestration.get_client()._client.get( + response_coroutine = orchestration.get_client()._client.get( f"/flow_runs/{flow_run_id}/graph" ) - if asyncio.iscoroutine(response): - response = await response + response = await response_coroutine if hasattr(response, "json"): response_json = response.json() @@ -410,10 +409,9 @@ async def get_flow_run(flow_run_id: UUID) -> FlowRun: if not hasattr(client, "read_flow_run"): raise ValueError("Client does not support async read_flow_run method") - response = client.read_flow_run(flow_run_id=flow_run_id) + response_coroutine = client.read_flow_run(flow_run_id=flow_run_id) - if asyncio.iscoroutine(response): - response = await response + response = await response_coroutine return FlowRun.parse_obj(response) @@ -477,10 +475,9 @@ async def get_task_run(task_run_id: UUID) -> TaskRun: if not hasattr(client, "read_task_run"): raise ValueError("Client does not support async read_task_run method") - response = client.read_task_run(task_run_id=task_run_id) + response_coroutine = client.read_task_run(task_run_id=task_run_id) - if asyncio.iscoroutine(response): - response = await response + response = await response_coroutine return TaskRun.parse_obj(response) diff --git a/metadata-ingestion/developing.md b/metadata-ingestion/developing.md index 19a18c5275a3b9..b713997d8286fe 100644 --- a/metadata-ingestion/developing.md +++ b/metadata-ingestion/developing.md @@ -89,7 +89,16 @@ cd metadata-ingestion-modules/gx-plugin source venv/bin/activate datahub version # should print "DataHub CLI version: unavailable (installed in develop mode)" ``` +### (Optional) Set up your Python environment for developing on Dagster Plugin + +From the repository root: +```shell +cd metadata-ingestion-modules/dagster-plugin +../../gradlew :metadata-ingestion-modules:dagster-plugin:installDev +source venv/bin/activate +datahub version # should print "DataHub CLI version: unavailable (installed in develop mode)" +``` ### Common setup issues Common issues (click to expand): diff --git a/metadata-ingestion/docs/sources/fivetran/fivetran_recipe.yml b/metadata-ingestion/docs/sources/fivetran/fivetran_recipe.yml index 3495b89a7e193f..af4d5c5792f41c 100644 --- a/metadata-ingestion/docs/sources/fivetran/fivetran_recipe.yml +++ b/metadata-ingestion/docs/sources/fivetran/fivetran_recipe.yml @@ -25,7 +25,7 @@ source: client_email: "client_email" client_id: "client_id" private_key: "private_key" - dataset: "fivetran_log_dataset" + dataset: "fivetran_log_dataset" # Optional - filter for certain connector names instead of ingesting everything. # connector_patterns: @@ -35,7 +35,7 @@ source: # Optional -- A mapping of the connector's all sources to its database. # sources_to_database: # connector_id: source_db - + # Optional -- This mapping is optional and only required to configure platform-instance for source # A mapping of Fivetran connector id to data platform instance # sources_to_platform_instance: diff --git a/metadata-ingestion/pyproject.toml b/metadata-ingestion/pyproject.toml index 2b6c87926c6c46..94e06fd53a70ec 100644 --- a/metadata-ingestion/pyproject.toml +++ b/metadata-ingestion/pyproject.toml @@ -14,7 +14,7 @@ target-version = ['py37', 'py38', 'py39', 'py310'] [tool.isort] combine_as_imports = true indent = ' ' -known_future_library = ['__future__', 'datahub.utilities._markupsafe_compat', 'datahub_provider._airflow_compat'] +known_future_library = ['__future__', 'datahub.utilities._markupsafe_compat', 'datahub.sql_parsing._sqlglot_patch'] profile = 'black' sections = 'FUTURE,STDLIB,THIRDPARTY,FIRSTPARTY,LOCALFOLDER' skip_glob = 'src/datahub/metadata' diff --git a/metadata-ingestion/scripts/avro_codegen.py b/metadata-ingestion/scripts/avro_codegen.py index 5be8b6ed4cc210..e2dd5151439923 100644 --- a/metadata-ingestion/scripts/avro_codegen.py +++ b/metadata-ingestion/scripts/avro_codegen.py @@ -361,9 +361,6 @@ def write_urn_classes(key_aspects: List[dict], urn_dir: Path) -> None: for aspect in key_aspects: entity_type = aspect["Aspect"]["keyForEntity"] - if aspect["Aspect"]["entityCategory"] == "internal": - continue - code += generate_urn_class(entity_type, aspect) (urn_dir / "urn_defs.py").write_text(code) diff --git a/metadata-ingestion/setup.py b/metadata-ingestion/setup.py index cd0115079caf20..181462f162d1d9 100644 --- a/metadata-ingestion/setup.py +++ b/metadata-ingestion/setup.py @@ -99,9 +99,11 @@ } sqlglot_lib = { - # Using an Acryl fork of sqlglot. + # We heavily monkeypatch sqlglot. + # Prior to the patching, we originally maintained an acryl-sqlglot fork: # https://github.com/tobymao/sqlglot/compare/main...hsheth2:sqlglot:main?expand=1 - "acryl-sqlglot[rs]==25.25.2.dev9", + "sqlglot[rs]==25.26.0", + "patchy==2.8.0", } classification_lib = { @@ -122,6 +124,10 @@ "more_itertools", } +cachetools_lib = { + "cachetools", +} + sql_common = ( { # Required for all SQL sources. @@ -138,6 +144,7 @@ # https://github.com/ipython/traitlets/issues/741 "traitlets<5.2.2", "greenlet", + *cachetools_lib, } | usage_common | sqlglot_lib @@ -213,7 +220,7 @@ "pandas", "cryptography", "msal", - "cachetools", + *cachetools_lib, } | classification_lib trino = { @@ -443,7 +450,7 @@ # mariadb should have same dependency as mysql "mariadb": sql_common | {"pymysql>=1.0.2"}, "okta": {"okta~=1.7.0", "nest-asyncio"}, - "oracle": sql_common | {"cx_Oracle"}, + "oracle": sql_common | {"oracledb"}, "postgres": sql_common | postgres_common, "presto": sql_common | pyhive_common | trino, # presto-on-hive is an alias for hive-metastore and needs to be kept in sync @@ -458,7 +465,7 @@ | sqlglot_lib | classification_lib | {"db-dtypes"} # Pandas extension data types - | {"cachetools"}, + | cachetools_lib, "s3": {*s3_base, *data_lake_profiling}, "gcs": {*s3_base, *data_lake_profiling}, "abs": {*abs_base, *data_lake_profiling}, diff --git a/metadata-ingestion/src/datahub/api/entities/platformresource/platform_resource.py b/metadata-ingestion/src/datahub/api/entities/platformresource/platform_resource.py index 0f7b10a067053a..0ba43d7b101e5f 100644 --- a/metadata-ingestion/src/datahub/api/entities/platformresource/platform_resource.py +++ b/metadata-ingestion/src/datahub/api/entities/platformresource/platform_resource.py @@ -14,7 +14,12 @@ from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.emitter.mcp_builder import DatahubKey from datahub.ingestion.graph.client import DataHubGraph -from datahub.metadata.urns import DataPlatformUrn, PlatformResourceUrn, Urn +from datahub.metadata.urns import ( + DataPlatformInstanceUrn, + DataPlatformUrn, + PlatformResourceUrn, + Urn, +) from datahub.utilities.openapi_utils import OpenAPIGraphClient from datahub.utilities.search_utils import ( ElasticDocumentQuery, @@ -76,21 +81,6 @@ def to_resource_info(self) -> models.PlatformResourceInfoClass: ) -class DataPlatformInstanceUrn: - """ - A simple implementation of a URN class for DataPlatformInstance. - Since this is not present in the URN registry, we need to implement it here. - """ - - @staticmethod - def create_from_id(platform_instance_urn: str) -> Urn: - if platform_instance_urn.startswith("urn:li:platformInstance:"): - string_urn = platform_instance_urn - else: - string_urn = f"urn:li:platformInstance:{platform_instance_urn}" - return Urn.from_string(string_urn) - - class UrnSearchField(SearchField): """ A search field that supports URN values. @@ -130,7 +120,7 @@ class PlatformResourceSearchFields: PLATFORM_INSTANCE = PlatformResourceSearchField.from_search_field( UrnSearchField( field_name="platformInstance.keyword", - urn_value_extractor=DataPlatformInstanceUrn.create_from_id, + urn_value_extractor=DataPlatformInstanceUrn.from_string, ) ) diff --git a/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py b/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py index 748d8a8e52a793..8511f8529ac125 100644 --- a/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py +++ b/metadata-ingestion/src/datahub/ingestion/api/source_helpers.py @@ -148,6 +148,12 @@ def auto_workunit_reporter(report: "SourceReport", stream: Iterable[T]) -> Itera report.report_workunit(wu) yield wu + if report.events_produced == 0: + report.warning( + title="No metadata was produced by the source", + message="Please check the source configuration, filters, and permissions.", + ) + def auto_materialize_referenced_tags_terms( stream: Iterable[MetadataWorkUnit], diff --git a/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py b/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py index 3b9b5dbf63e184..37c146218e2633 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py +++ b/metadata-ingestion/src/datahub/ingestion/source/aws/glue.py @@ -678,12 +678,19 @@ def get_all_databases(self) -> Iterable[Mapping[str, Any]]: else: paginator_response = paginator.paginate() - for page in paginator_response: - yield from page["DatabaseList"] + pattern = "DatabaseList" + if self.source_config.ignore_resource_links: + # exclude resource links by using a JMESPath conditional query against the TargetDatabase struct key + pattern += "[?!TargetDatabase]" + + for database in paginator_response.search(pattern): + if self.source_config.database_pattern.allowed(database["Name"]): + yield database - def get_tables_from_database(self, database_name: str) -> Iterable[Dict]: + def get_tables_from_database(self, database: Mapping[str, Any]) -> Iterable[Dict]: # see https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/glue/paginator/GetTables.html paginator = self.glue_client.get_paginator("get_tables") + database_name = database["Name"] if self.source_config.catalog_id: paginator_response = paginator.paginate( @@ -692,34 +699,28 @@ def get_tables_from_database(self, database_name: str) -> Iterable[Dict]: else: paginator_response = paginator.paginate(DatabaseName=database_name) - for page in paginator_response: - yield from page["TableList"] + for table in paginator_response.search("TableList"): + # if resource links are detected, re-use database names from the current catalog + # otherwise, external names are picked up instead of aliased ones when creating full table names later + # This will cause an incoherent situation when creating full table names later + # Note: use an explicit source_config check but it is useless actually (filtering has already been done) + if ( + not self.source_config.ignore_resource_links + and "TargetDatabase" in database + ): + table["DatabaseName"] = database["Name"] + yield table def get_all_databases_and_tables( self, - ) -> Tuple[Dict, List[Dict]]: - all_databases = self.get_all_databases() - - if self.source_config.ignore_resource_links: - all_databases = [ - database - for database in all_databases - if "TargetDatabase" not in database - ] - - allowed_databases = { - database["Name"]: database - for database in all_databases - if self.source_config.database_pattern.allowed(database["Name"]) - } - + ) -> Tuple[List[Mapping[str, Any]], List[Dict]]: + all_databases = [*self.get_all_databases()] all_tables = [ - table - for database_name in allowed_databases - for table in self.get_tables_from_database(database_name) + tables + for database in all_databases + for tables in self.get_tables_from_database(database) ] - - return allowed_databases, all_tables + return all_databases, all_tables def get_lineage_if_enabled( self, mce: MetadataChangeEventClass @@ -1039,7 +1040,7 @@ def get_workunit_processors(self) -> List[Optional[MetadataWorkUnitProcessor]]: def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: databases, tables = self.get_all_databases_and_tables() - for database in databases.values(): + for database in databases: yield from self.gen_database_containers(database) for table in tables: diff --git a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_config.py b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_config.py index 2a34fb82c2050c..1f74fffeab7fbc 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_config.py +++ b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_config.py @@ -369,6 +369,11 @@ class BigQueryV2Config( description="Capture BigQuery dataset labels as DataHub tag", ) + include_table_constraints: bool = Field( + default=True, + description="Whether to ingest table constraints. If you know you don't use table constraints, you can disable it to save one extra query per dataset. In general it should be enabled", + ) + include_external_url: bool = Field( default=True, description="Whether to populate BigQuery Console url to Datasets/Tables", diff --git a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_report.py b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_report.py index cc8c6482eb9efd..88c6eb1885f3bd 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_report.py +++ b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_report.py @@ -30,6 +30,7 @@ class BigQuerySchemaApiPerfReport(Report): num_list_tables_api_requests: int = 0 num_get_views_for_dataset_api_requests: int = 0 num_get_snapshots_for_dataset_api_requests: int = 0 + num_get_table_constraints_for_dataset_api_requests: int = 0 list_projects_timer: PerfTimer = field(default_factory=PerfTimer) list_projects_with_labels_timer: PerfTimer = field(default_factory=PerfTimer) @@ -37,6 +38,7 @@ class BigQuerySchemaApiPerfReport(Report): get_columns_for_dataset_sec: float = 0 get_tables_for_dataset_sec: float = 0 + get_table_constraints_for_dataset_sec: float = 0 list_tables_sec: float = 0 get_views_for_dataset_sec: float = 0 get_snapshots_for_dataset_sec: float = 0 @@ -155,7 +157,6 @@ class BigQueryV2Report( num_filtered_query_events: int = 0 num_usage_query_hash_collisions: int = 0 num_operational_stats_workunits_emitted: int = 0 - snapshots_scanned: int = 0 # view lineage diff --git a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema.py b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema.py index dd683559a007b3..6361d5f266cb74 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema.py +++ b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema.py @@ -42,6 +42,20 @@ class BigqueryColumn(BaseColumn): policy_tags: Optional[List[str]] = None +@dataclass +class BigqueryTableConstraint: + name: str + project_id: str + dataset_name: str + table_name: str + type: str + field_path: str + referenced_project_id: Optional[str] = None + referenced_dataset: Optional[str] = None + referenced_table_name: Optional[str] = None + referenced_column_name: Optional[str] = None + + RANGE_PARTITION_NAME: str = "RANGE" @@ -106,6 +120,7 @@ class BigqueryTable(BaseTable): partition_info: Optional[PartitionInfo] = None columns_ignore_from_profiling: List[str] = field(default_factory=list) external: bool = False + constraints: List[BigqueryTableConstraint] = field(default_factory=list) @dataclass @@ -492,6 +507,57 @@ def get_policy_tags_for_column( exc=e, ) + def get_table_constraints_for_dataset( + self, + project_id: str, + dataset_name: str, + report: BigQueryV2Report, + ) -> Optional[Dict[str, List[BigqueryTableConstraint]]]: + constraints: Dict[str, List[BigqueryTableConstraint]] = defaultdict(list) + with PerfTimer() as timer: + try: + cur = self.get_query_result( + BigqueryQuery.constraints_for_table.format( + project_id=project_id, dataset_name=dataset_name + ) + ) + except Exception as e: + report.warning( + title="Failed to retrieve table constraints for dataset", + message="Query to get table constraints for dataset failed with exception", + context=f"{project_id}.{dataset_name}", + exc=e, + ) + return None + + for constraint in cur: + constraints[constraint.table_name].append( + BigqueryTableConstraint( + name=constraint.constraint_name, + project_id=constraint.table_catalog, + dataset_name=constraint.table_schema, + table_name=constraint.table_name, + type=constraint.constraint_type, + field_path=constraint.column_name, + referenced_project_id=constraint.referenced_catalog + if constraint.constraint_type == "FOREIGN KEY" + else None, + referenced_dataset=constraint.referenced_schema + if constraint.constraint_type == "FOREIGN KEY" + else None, + referenced_table_name=constraint.referenced_table + if constraint.constraint_type == "FOREIGN KEY" + else None, + referenced_column_name=constraint.referenced_column + if constraint.constraint_type == "FOREIGN KEY" + else None, + ) + ) + self.report.num_get_table_constraints_for_dataset_api_requests += 1 + self.report.get_table_constraints_for_dataset_sec += timer.elapsed_seconds() + + return constraints + def get_columns_for_dataset( self, project_id: str, diff --git a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema_gen.py b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema_gen.py index 1235f638f68ff7..dc53e2f74959e2 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema_gen.py +++ b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/bigquery_schema_gen.py @@ -2,13 +2,18 @@ import re from base64 import b32decode from collections import defaultdict +from itertools import groupby from typing import Dict, Iterable, List, Optional, Set, Type, Union, cast from google.cloud.bigquery.table import TableListItem from datahub.api.entities.platformresource.platform_resource import PlatformResource from datahub.configuration.pattern_utils import is_schema_allowed, is_tag_allowed -from datahub.emitter.mce_builder import make_tag_urn +from datahub.emitter.mce_builder import ( + make_dataset_urn_with_platform_instance, + make_schema_field_urn, + make_tag_urn, +) from datahub.emitter.mcp import MetadataChangeProposalWrapper from datahub.emitter.mcp_builder import BigQueryDatasetKey, ContainerKey, ProjectIdKey from datahub.ingestion.api.workunit import MetadataWorkUnit @@ -39,6 +44,7 @@ BigqueryProject, BigQuerySchemaApi, BigqueryTable, + BigqueryTableConstraint, BigqueryTableSnapshot, BigqueryView, ) @@ -76,6 +82,7 @@ BooleanType, BytesType, DateType, + ForeignKeyConstraint, MySqlDDL, NullType, NumberType, @@ -310,7 +317,7 @@ def gen_dataset_containers( logger.warning( f"Failed to generate platform resource for label {k}:{v}: {e}" ) - tags_joined.append(tag_urn.urn()) + tags_joined.append(tag_urn.name) database_container_key = self.gen_project_id_key(database=project_id) @@ -470,6 +477,7 @@ def _process_schema( ) columns = None + constraints: Optional[Dict[str, List[BigqueryTableConstraint]]] = None rate_limiter: Optional[RateLimiter] = None if self.config.rate_limit: @@ -487,6 +495,10 @@ def _process_schema( report=self.report, rate_limiter=rate_limiter, ) + if self.config.include_table_constraints: + constraints = self.schema_api.get_table_constraints_for_dataset( + project_id=project_id, dataset_name=dataset_name, report=self.report + ) elif self.store_table_refs: # Need table_refs to calculate lineage and usage for table_item in self.schema_api.list_tables(dataset_name, project_id): @@ -516,6 +528,11 @@ def _process_schema( for table in db_tables[dataset_name]: table_columns = columns.get(table.name, []) if columns else [] + table_constraints = ( + constraints.get(table.name, []) if constraints else [] + ) + + table.constraints = table_constraints table_wu_generator = self._process_table( table=table, columns=table_columns, @@ -722,6 +739,58 @@ def make_tag_urn_from_label(self, key: str, value: str) -> str: else: return make_tag_urn(key) + # New method to generate ForeignKeyConstraint aspects + def gen_foreign_keys( + self, + table: BigqueryTable, + dataset_name: str, + project_id: str, + ) -> Iterable[ForeignKeyConstraint]: + table_id = f"{project_id}.{dataset_name}.{table.name}" + foreign_keys: List[BigqueryTableConstraint] = list( + filter(lambda x: x.type == "FOREIGN KEY", table.constraints) + ) + for key, group in groupby( + foreign_keys, + lambda x: f"{x.referenced_project_id}.{x.referenced_dataset}.{x.referenced_table_name}", + ): + dataset_urn = make_dataset_urn_with_platform_instance( + platform="bigquery", + name=table_id, + platform_instance=self.config.platform_instance, + env=self.config.env, + ) + + foreign_dataset = make_dataset_urn_with_platform_instance( + platform="bigquery", + name=key, + platform_instance=self.config.platform_instance, + env=self.config.env, + ) + source_fields: List[str] = list() + referenced_fields: List[str] = list() + + for item in group: + source_field = make_schema_field_urn( + parent_urn=dataset_urn, field_path=item.field_path + ) + assert item.referenced_column_name + referenced_field = make_schema_field_urn( + parent_urn=foreign_dataset, field_path=item.referenced_column_name + ) + + source_fields.append(source_field) + referenced_fields.append(referenced_field) + + foreign_key_aspect = ForeignKeyConstraint( + name=key, + foreignFields=referenced_fields, + sourceFields=source_fields, + foreignDataset=foreign_dataset, + ) + + yield foreign_key_aspect + def gen_table_dataset_workunits( self, table: BigqueryTable, @@ -968,7 +1037,17 @@ def gen_tags_aspect_workunit( entityUrn=dataset_urn, aspect=tags ).as_workunit() - def gen_schema_fields(self, columns: List[BigqueryColumn]) -> List[SchemaField]: + def is_primary_key( + self, field_path: str, constraints: List[BigqueryTableConstraint] + ) -> bool: + for constraint in constraints: + if constraint.field_path == field_path and constraint.type == "PRIMARY KEY": + return True + return False + + def gen_schema_fields( + self, columns: List[BigqueryColumn], constraints: List[BigqueryTableConstraint] + ) -> List[SchemaField]: schema_fields: List[SchemaField] = [] # Below line affects HiveColumnToAvroConverter._STRUCT_TYPE_SEPARATOR in global scope @@ -1029,6 +1108,7 @@ def gen_schema_fields(self, columns: List[BigqueryColumn]) -> List[SchemaField]: self.BIGQUERY_FIELD_TYPE_MAPPINGS.get(col.data_type, NullType)() ), isPartitioningKey=col.is_partition_column, + isPartOfKey=self.is_primary_key(col.field_path, constraints), nativeDataType=col.data_type, description=col.comment, nullable=col.is_nullable, @@ -1048,6 +1128,16 @@ def gen_schema_metadata( columns: List[BigqueryColumn], dataset_name: BigqueryTableIdentifier, ) -> MetadataWorkUnit: + + foreign_keys: List[ForeignKeyConstraint] = [] + # Foreign keys only make sense for tables + if isinstance(table, BigqueryTable): + foreign_keys = list( + self.gen_foreign_keys( + table, dataset_name.dataset, dataset_name.project_id + ) + ) + schema_metadata = SchemaMetadata( schemaName=str(dataset_name), platform=self.identifiers.make_data_platform_urn(), @@ -1055,7 +1145,13 @@ def gen_schema_metadata( hash="", platformSchema=MySqlDDL(tableSchema=""), # fields=[], - fields=self.gen_schema_fields(columns), + fields=self.gen_schema_fields( + columns, + table.constraints + if (isinstance(table, BigqueryTable) and table.constraints) + else [], + ), + foreignKeys=foreign_keys if foreign_keys else None, ) if self.config.lineage_parse_view_ddl or self.config.lineage_use_sql_parser: diff --git a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/queries.py b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/queries.py index 6155619d144c40..2ac40a48de4cc7 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/queries.py +++ b/metadata-ingestion/src/datahub/ingestion/source/bigquery_v2/queries.py @@ -294,6 +294,30 @@ class BigqueryQuery: ORDER BY table_catalog, table_schema, table_name, ordinal_position ASC, data_type DESC""" + constraints_for_table: str = """ +select + kcu.constraint_name as constraint_name, + kcu.table_catalog as table_catalog, + kcu.table_schema as table_schema, + kcu.table_name as table_name, + kcu.column_name as column_name, + tc.constraint_type, + ccu.table_catalog as referenced_catalog, + ccu.table_schema as referenced_schema, + ccu.table_name as referenced_table, + ccu.column_name as referenced_column +from + `{project_id}`.`{dataset_name}`.INFORMATION_SCHEMA.KEY_COLUMN_USAGE as kcu +join `{project_id}`.`{dataset_name}`.INFORMATION_SCHEMA.CONSTRAINT_COLUMN_USAGE as ccu on + kcu.constraint_catalog = ccu.constraint_catalog + and kcu.constraint_schema = ccu.constraint_schema + and kcu.constraint_name = ccu.constraint_name +join `{project_id}`.`{dataset_name}`.INFORMATION_SCHEMA.TABLE_CONSTRAINTS as tc on + tc.constraint_catalog = ccu.constraint_catalog + and tc.constraint_schema = ccu.constraint_schema + and tc.constraint_name = ccu.constraint_name +""" + BQ_FILTER_RULE_TEMPLATE_V2_LINEAGE = """ resource.type=("bigquery_project") diff --git a/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py b/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py index 2fb5ffd16ea34c..1e15f6b395ca58 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py +++ b/metadata-ingestion/src/datahub/ingestion/source/fivetran/config.py @@ -1,12 +1,17 @@ import dataclasses import logging +import warnings from typing import Dict, Optional import pydantic from pydantic import Field, root_validator from typing_extensions import Literal -from datahub.configuration.common import AllowDenyPattern, ConfigModel +from datahub.configuration.common import ( + AllowDenyPattern, + ConfigModel, + ConfigurationWarning, +) from datahub.configuration.source_common import DEFAULT_ENV, DatasetSourceConfigMixin from datahub.configuration.validate_field_rename import pydantic_renamed_field from datahub.ingestion.api.report import Report @@ -144,6 +149,10 @@ def report_connectors_dropped(self, model: str) -> None: class PlatformDetail(ConfigModel): + platform: Optional[str] = pydantic.Field( + default=None, + description="Override the platform type detection.", + ) platform_instance: Optional[str] = pydantic.Field( default=None, description="The instance of the platform that all assets produced by this recipe belong to", @@ -152,6 +161,11 @@ class PlatformDetail(ConfigModel): default=DEFAULT_ENV, description="The environment that all assets produced by DataHub platform ingestion source belong to", ) + database: Optional[str] = pydantic.Field( + default=None, + description="The database that all assets produced by this connector belong to. " + "For destinations, this defaults to the fivetran log config's database.", + ) class FivetranSourceConfig(StatefulIngestionConfigBase, DatasetSourceConfigMixin): @@ -160,34 +174,54 @@ class FivetranSourceConfig(StatefulIngestionConfigBase, DatasetSourceConfigMixin ) connector_patterns: AllowDenyPattern = Field( default=AllowDenyPattern.allow_all(), - description="Regex patterns for connectors to filter in ingestion.", + description="Filtering regex patterns for connector names.", ) destination_patterns: AllowDenyPattern = Field( default=AllowDenyPattern.allow_all(), - description="Regex patterns for destinations to filter in ingestion.", + description="Regex patterns for destination ids to filter in ingestion. " + "Fivetran destination IDs are usually two word identifiers e.g. canyon_tolerable, and are not the same as the destination database name. " + "They're visible in the Fivetran UI under Destinations -> Overview -> Destination Group ID.", ) include_column_lineage: bool = Field( default=True, description="Populates table->table column lineage.", ) - sources_to_database: Dict[str, str] = pydantic.Field( - default={}, - description="A mapping of the connector's all sources to its database. Use connector id as key.", - ) + # Configuration for stateful ingestion stateful_ingestion: Optional[StatefulStaleMetadataRemovalConfig] = pydantic.Field( default=None, description="Airbyte Stateful Ingestion Config." ) + # Fivetran connector all sources to platform instance mapping sources_to_platform_instance: Dict[str, PlatformDetail] = pydantic.Field( default={}, - description="A mapping of the connector's all sources dataset to platform instance. Use connector id as key.", + description="A mapping from connector id to its platform/instance/env/database details.", ) # Fivetran destination to platform instance mapping destination_to_platform_instance: Dict[str, PlatformDetail] = pydantic.Field( default={}, - description="A mapping of destination dataset to platform instance. Use destination id as key.", + description="A mapping of destination id to its platform/instance/env details.", ) + + @pydantic.root_validator(pre=True) + def compat_sources_to_database(cls, values: Dict) -> Dict: + if "sources_to_database" in values: + warnings.warn( + "The sources_to_database field is deprecated, please use sources_to_platform_instance instead.", + ConfigurationWarning, + stacklevel=2, + ) + mapping = values.pop("sources_to_database") + + values.setdefault("sources_to_platform_instance", {}) + for key, value in mapping.items(): + values["sources_to_platform_instance"].setdefault(key, {}) + values["sources_to_platform_instance"][key].setdefault( + "database", value + ) + + return values + history_sync_lookback_period: int = pydantic.Field( 7, description="The number of days to look back when extracting connectors' sync history.", diff --git a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py index c27ec57c2e99ec..907bfa3a167aa4 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py +++ b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran.py @@ -81,31 +81,33 @@ def _extend_lineage(self, connector: Connector, datajob: DataJob) -> None: output_dataset_urn_list: List[DatasetUrn] = [] fine_grained_lineage: List[FineGrainedLineage] = [] - source_platform_detail: PlatformDetail = PlatformDetail() - destination_platform_detail: PlatformDetail = PlatformDetail() + # TODO: Once Fivetran exposes the database via the API, we shouldn't ask for it via config. + # Get platform details for connector source - source_platform_detail = self.config.sources_to_platform_instance.get( + source_details = self.config.sources_to_platform_instance.get( connector.connector_id, PlatformDetail() ) + if source_details.platform is None: + if connector.connector_type in KNOWN_DATA_PLATFORM_MAPPING: + source_details.platform = KNOWN_DATA_PLATFORM_MAPPING[ + connector.connector_type + ] + else: + logger.info( + f"Fivetran connector source type: {connector.connector_type} is not supported to mapped with Datahub dataset entity." + ) + source_details.platform = connector.connector_type # Get platform details for destination - destination_platform_detail = self.config.destination_to_platform_instance.get( + destination_details = self.config.destination_to_platform_instance.get( connector.destination_id, PlatformDetail() ) - - # Get database for connector source - # TODO: Once Fivetran exposes this, we shouldn't ask for it via config. - source_database: Optional[str] = self.config.sources_to_database.get( - connector.connector_id - ) - - if connector.connector_type in KNOWN_DATA_PLATFORM_MAPPING: - source_platform = KNOWN_DATA_PLATFORM_MAPPING[connector.connector_type] - else: - source_platform = connector.connector_type - logger.info( - f"Fivetran connector source type: {connector.connector_type} is not supported to mapped with Datahub dataset entity." + if destination_details.platform is None: + destination_details.platform = ( + self.config.fivetran_log_config.destination_platform ) + if destination_details.database is None: + destination_details.database = self.audit_log.fivetran_log_database if len(connector.lineage) >= MAX_TABLE_LINEAGE_PER_CONNECTOR: self.report.warning( @@ -117,22 +119,22 @@ def _extend_lineage(self, connector: Connector, datajob: DataJob) -> None: for lineage in connector.lineage: input_dataset_urn = DatasetUrn.create_from_ids( - platform_id=source_platform, + platform_id=source_details.platform, table_name=( - f"{source_database.lower()}.{lineage.source_table}" - if source_database + f"{source_details.database.lower()}.{lineage.source_table}" + if source_details.database else lineage.source_table ), - env=source_platform_detail.env, - platform_instance=source_platform_detail.platform_instance, + env=source_details.env, + platform_instance=source_details.platform_instance, ) input_dataset_urn_list.append(input_dataset_urn) output_dataset_urn = DatasetUrn.create_from_ids( - platform_id=self.config.fivetran_log_config.destination_platform, - table_name=f"{self.audit_log.fivetran_log_database.lower()}.{lineage.destination_table}", - env=destination_platform_detail.env, - platform_instance=destination_platform_detail.platform_instance, + platform_id=destination_details.platform, + table_name=f"{destination_details.database.lower()}.{lineage.destination_table}", + env=destination_details.env, + platform_instance=destination_details.platform_instance, ) output_dataset_urn_list.append(output_dataset_urn) diff --git a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_log_api.py b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_log_api.py index b55c8bbbd607fa..79f9d513bfb7c4 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_log_api.py +++ b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_log_api.py @@ -84,17 +84,21 @@ def _query(self, query: str) -> List[Dict]: query = sqlglot.parse_one(query, dialect="snowflake").sql( dialect=self.fivetran_log_config.destination_platform, pretty=True ) - logger.debug(f"Query : {query}") + logger.info(f"Executing query: {query}") resp = self.engine.execute(query) return [row for row in resp] - def _get_column_lineage_metadata(self) -> Dict[Tuple[str, str], List]: + def _get_column_lineage_metadata( + self, connector_ids: List[str] + ) -> Dict[Tuple[str, str], List]: """ Returns dict of column lineage metadata with key as (, ) """ all_column_lineage = defaultdict(list) column_lineage_result = self._query( - self.fivetran_log_query.get_column_lineage_query() + self.fivetran_log_query.get_column_lineage_query( + connector_ids=connector_ids + ) ) for column_lineage in column_lineage_result: key = ( @@ -104,13 +108,13 @@ def _get_column_lineage_metadata(self) -> Dict[Tuple[str, str], List]: all_column_lineage[key].append(column_lineage) return dict(all_column_lineage) - def _get_table_lineage_metadata(self) -> Dict[str, List]: + def _get_table_lineage_metadata(self, connector_ids: List[str]) -> Dict[str, List]: """ Returns dict of table lineage metadata with key as 'CONNECTOR_ID' """ connectors_table_lineage_metadata = defaultdict(list) table_lineage_result = self._query( - self.fivetran_log_query.get_table_lineage_query() + self.fivetran_log_query.get_table_lineage_query(connector_ids=connector_ids) ) for table_lineage in table_lineage_result: connectors_table_lineage_metadata[ @@ -224,8 +228,9 @@ def get_user_email(self, user_id: str) -> Optional[str]: return self._get_users().get(user_id) def _fill_connectors_lineage(self, connectors: List[Connector]) -> None: - table_lineage_metadata = self._get_table_lineage_metadata() - column_lineage_metadata = self._get_column_lineage_metadata() + connector_ids = [connector.connector_id for connector in connectors] + table_lineage_metadata = self._get_table_lineage_metadata(connector_ids) + column_lineage_metadata = self._get_column_lineage_metadata(connector_ids) for connector in connectors: connector.lineage = self._extract_connector_lineage( table_lineage_result=table_lineage_metadata.get(connector.connector_id), @@ -254,20 +259,25 @@ def get_allowed_connectors_list( logger.info("Fetching connector list") connector_list = self._query(self.fivetran_log_query.get_connectors_query()) for connector in connector_list: - if not connector_patterns.allowed(connector[Constant.CONNECTOR_NAME]): - report.report_connectors_dropped(connector[Constant.CONNECTOR_NAME]) + connector_name = connector[Constant.CONNECTOR_NAME] + if not connector_patterns.allowed(connector_name): + report.report_connectors_dropped(connector_name) continue - if not destination_patterns.allowed(connector[Constant.DESTINATION_ID]): - report.report_connectors_dropped(connector[Constant.CONNECTOR_NAME]) + if not destination_patterns.allowed( + destination_id := connector[Constant.DESTINATION_ID] + ): + report.report_connectors_dropped( + f"{connector_name} (destination_id: {destination_id})" + ) continue connectors.append( Connector( connector_id=connector[Constant.CONNECTOR_ID], - connector_name=connector[Constant.CONNECTOR_NAME], + connector_name=connector_name, connector_type=connector[Constant.CONNECTOR_TYPE_ID], paused=connector[Constant.PAUSED], sync_frequency=connector[Constant.SYNC_FREQUENCY], - destination_id=connector[Constant.DESTINATION_ID], + destination_id=destination_id, user_id=connector[Constant.CONNECTING_USER_ID], lineage=[], # filled later jobs=[], # filled later @@ -277,7 +287,9 @@ def get_allowed_connectors_list( if not connectors: # Some of our queries don't work well when there's no connectors, since # we push down connector id filters. + logger.info("No allowed connectors found") return [] + logger.info(f"Found {len(connectors)} allowed connectors") with report.metadata_extraction_perf.connectors_lineage_extraction_sec: logger.info("Fetching connector lineage") diff --git a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_query.py b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_query.py index c9e329b706768f..39c4d7712b4fcc 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_query.py +++ b/metadata-ingestion/src/datahub/ingestion/source/fivetran/fivetran_query.py @@ -1,9 +1,9 @@ from typing import List # Safeguards to prevent fetching massive amounts of data. -MAX_TABLE_LINEAGE_PER_CONNECTOR = 100 -MAX_COLUMN_LINEAGE_PER_CONNECTOR = 3000 -MAX_JOBS_PER_CONNECTOR = 1000 +MAX_TABLE_LINEAGE_PER_CONNECTOR = 50 +MAX_COLUMN_LINEAGE_PER_CONNECTOR = 500 +MAX_JOBS_PER_CONNECTOR = 500 class FivetranLogQuery: @@ -80,7 +80,10 @@ def get_sync_logs_query( ORDER BY connector_id, end_time DESC """ - def get_table_lineage_query(self) -> str: + def get_table_lineage_query(self, connector_ids: List[str]) -> str: + # Format connector_ids as a comma-separated string of quoted IDs + formatted_connector_ids = ", ".join(f"'{id}'" for id in connector_ids) + return f"""\ SELECT stm.connector_id as connector_id, @@ -95,11 +98,15 @@ def get_table_lineage_query(self) -> str: JOIN {self.db_clause}destination_table_metadata as dtm on tl.destination_table_id = dtm.id JOIN {self.db_clause}source_schema_metadata as ssm on stm.schema_id = ssm.id JOIN {self.db_clause}destination_schema_metadata as dsm on dtm.schema_id = dsm.id +WHERE stm.connector_id IN ({formatted_connector_ids}) QUALIFY ROW_NUMBER() OVER (PARTITION BY stm.connector_id ORDER BY tl.created_at DESC) <= {MAX_TABLE_LINEAGE_PER_CONNECTOR} ORDER BY stm.connector_id, tl.created_at DESC """ - def get_column_lineage_query(self) -> str: + def get_column_lineage_query(self, connector_ids: List[str]) -> str: + # Format connector_ids as a comma-separated string of quoted IDs + formatted_connector_ids = ", ".join(f"'{id}'" for id in connector_ids) + return f"""\ SELECT scm.table_id as source_table_id, @@ -114,6 +121,7 @@ def get_column_lineage_query(self) -> str: -- Only joining source_table_metadata to get the connector_id. JOIN {self.db_clause}source_table_metadata as stm ON scm.table_id = stm.id +WHERE stm.connector_id IN ({formatted_connector_ids}) QUALIFY ROW_NUMBER() OVER (PARTITION BY stm.connector_id ORDER BY cl.created_at DESC) <= {MAX_COLUMN_LINEAGE_PER_CONNECTOR} ORDER BY stm.connector_id, cl.created_at DESC """ diff --git a/metadata-ingestion/src/datahub/ingestion/source/mongodb.py b/metadata-ingestion/src/datahub/ingestion/source/mongodb.py index e3fd8849ed8444..c87b025f13b55d 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/mongodb.py +++ b/metadata-ingestion/src/datahub/ingestion/source/mongodb.py @@ -410,6 +410,7 @@ def get_workunits_internal(self) -> Iterable[MetadataWorkUnit]: ) dataset_properties = DatasetPropertiesClass( + name=collection_name, tags=[], customProperties={}, ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py index fe491ccb318505..4b3d238a13261c 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py +++ b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage.py @@ -53,6 +53,7 @@ ) from datahub.metadata.urns import DatasetUrn from datahub.sql_parsing.schema_resolver import SchemaResolver +from datahub.sql_parsing.sql_parsing_aggregator import TableRename from datahub.sql_parsing.sqlglot_utils import get_dialect, parse_statement from datahub.utilities import memory_footprint from datahub.utilities.dedup_list import deduplicate_list @@ -504,21 +505,21 @@ def _populate_lineage_map( self.report_status(f"extract-{lineage_type.name}", False) def _update_lineage_map_for_table_renames( - self, table_renames: Dict[str, str] + self, table_renames: Dict[str, TableRename] ) -> None: if not table_renames: return logger.info(f"Updating lineage map for {len(table_renames)} table renames") - for new_table_urn, prev_table_urn in table_renames.items(): + for entry in table_renames.values(): # This table was renamed from some other name, copy in the lineage # for the previous name as well. - prev_table_lineage = self._lineage_map.get(prev_table_urn) + prev_table_lineage = self._lineage_map.get(entry.original_urn) if prev_table_lineage: logger.debug( - f"including lineage for {prev_table_urn} in {new_table_urn} due to table rename" + f"including lineage for {entry.original_urn} in {entry.new_urn} due to table rename" ) - self._lineage_map[new_table_urn].merge_lineage( + self._lineage_map[entry.new_urn].merge_lineage( upstreams=prev_table_lineage.upstreams, cll=prev_table_lineage.cll, ) @@ -672,7 +673,7 @@ def populate_lineage( for db, schemas in all_tables.items() } - table_renames: Dict[str, str] = {} + table_renames: Dict[str, TableRename] = {} if self.config.include_table_rename_lineage: table_renames, all_tables_set = self._process_table_renames( database=database, @@ -851,11 +852,11 @@ def _process_table_renames( database: str, connection: redshift_connector.Connection, all_tables: Dict[str, Dict[str, Set[str]]], - ) -> Tuple[Dict[str, str], Dict[str, Dict[str, Set[str]]]]: + ) -> Tuple[Dict[str, TableRename], Dict[str, Dict[str, Set[str]]]]: logger.info(f"Processing table renames for db {database}") # new urn -> prev urn - table_renames: Dict[str, str] = {} + table_renames: Dict[str, TableRename] = {} query = self.queries.alter_table_rename_query( db_name=database, @@ -893,7 +894,9 @@ def _process_table_renames( env=self.config.env, ) - table_renames[new_urn] = prev_urn + table_renames[new_urn] = TableRename( + prev_urn, new_urn, query_text, timestamp=rename_row.start_time + ) # We want to generate lineage for the previous name too. all_tables[database][schema].add(prev_name) diff --git a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py index 53f9383ec02a72..e7cc5fc50cf6e5 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py +++ b/metadata-ingestion/src/datahub/ingestion/source/redshift/lineage_v2.py @@ -146,10 +146,8 @@ def build( lambda: collections.defaultdict(set) ), ) - for new_urn, original_urn in table_renames.items(): - self.aggregator.add_table_rename( - original_urn=original_urn, new_urn=new_urn - ) + for entry in table_renames.values(): + self.aggregator.add_table_rename(entry) if self.config.table_lineage_mode in { LineageMode.SQL_BASED, diff --git a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_queries.py b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_queries.py index e11073d77b46eb..2d2bdc50467c64 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_queries.py +++ b/metadata-ingestion/src/datahub/ingestion/source/snowflake/snowflake_queries.py @@ -52,6 +52,8 @@ PreparsedQuery, SqlAggregatorReport, SqlParsingAggregator, + TableRename, + TableSwap, ) from datahub.sql_parsing.sql_parsing_common import QueryType from datahub.sql_parsing.sqlglot_lineage import ( @@ -116,6 +118,8 @@ class SnowflakeQueriesExtractorReport(Report): audit_log_load_timer: PerfTimer = dataclasses.field(default_factory=PerfTimer) sql_aggregator: Optional[SqlAggregatorReport] = None + num_ddl_queries_dropped: int = 0 + @dataclass class SnowflakeQueriesSourceReport(SourceReport): @@ -225,7 +229,9 @@ def get_workunits_internal( audit_log_file = self.local_temp_path / "audit_log.sqlite" use_cached_audit_log = audit_log_file.exists() - queries: FileBackedList[Union[KnownLineageMapping, PreparsedQuery]] + queries: FileBackedList[ + Union[KnownLineageMapping, PreparsedQuery, TableRename, TableSwap] + ] if use_cached_audit_log: logger.info("Using cached audit log") shared_connection = ConnectionWrapper(audit_log_file) @@ -235,7 +241,7 @@ def get_workunits_internal( shared_connection = ConnectionWrapper(audit_log_file) queries = FileBackedList(shared_connection) - entry: Union[KnownLineageMapping, PreparsedQuery] + entry: Union[KnownLineageMapping, PreparsedQuery, TableRename, TableSwap] with self.report.copy_history_fetch_timer: for entry in self.fetch_copy_history(): @@ -296,7 +302,7 @@ def fetch_copy_history(self) -> Iterable[KnownLineageMapping]: def fetch_query_log( self, - ) -> Iterable[PreparsedQuery]: + ) -> Iterable[Union[PreparsedQuery, TableRename, TableSwap]]: query_log_query = _build_enriched_query_log_query( start_time=self.config.window.start_time, end_time=self.config.window.end_time, @@ -324,12 +330,16 @@ def fetch_query_log( exc=e, ) else: - yield entry + if entry: + yield entry - def _parse_audit_log_row(self, row: Dict[str, Any]) -> PreparsedQuery: + def _parse_audit_log_row( + self, row: Dict[str, Any] + ) -> Optional[Union[TableRename, TableSwap, PreparsedQuery]]: json_fields = { "DIRECT_OBJECTS_ACCESSED", "OBJECTS_MODIFIED", + "OBJECT_MODIFIED_BY_DDL", } res = {} @@ -341,7 +351,26 @@ def _parse_audit_log_row(self, row: Dict[str, Any]) -> PreparsedQuery: direct_objects_accessed = res["direct_objects_accessed"] objects_modified = res["objects_modified"] - + object_modified_by_ddl = res["object_modified_by_ddl"] + + if object_modified_by_ddl and not objects_modified: + known_ddl_entry: Optional[Union[TableRename, TableSwap]] = None + with self.structured_reporter.report_exc( + "Error fetching ddl lineage from Snowflake" + ): + known_ddl_entry = self.parse_ddl_query( + res["query_text"], + res["session_id"], + res["query_start_time"], + object_modified_by_ddl, + ) + if known_ddl_entry: + return known_ddl_entry + elif direct_objects_accessed: + # Unknown ddl relevant for usage. We want to continue execution here + pass + else: + return None upstreams = [] column_usage = {} @@ -437,6 +466,50 @@ def _parse_audit_log_row(self, row: Dict[str, Any]) -> PreparsedQuery: ) return entry + def parse_ddl_query( + self, + query: str, + session_id: str, + timestamp: datetime, + object_modified_by_ddl: dict, + ) -> Optional[Union[TableRename, TableSwap]]: + timestamp = timestamp.astimezone(timezone.utc) + if object_modified_by_ddl[ + "operationType" + ] == "ALTER" and object_modified_by_ddl["properties"].get("swapTargetName"): + urn1 = self.identifiers.gen_dataset_urn( + self.identifiers.get_dataset_identifier_from_qualified_name( + object_modified_by_ddl["objectName"] + ) + ) + + urn2 = self.identifiers.gen_dataset_urn( + self.identifiers.get_dataset_identifier_from_qualified_name( + object_modified_by_ddl["properties"]["swapTargetName"]["value"] + ) + ) + + return TableSwap(urn1, urn2, query, session_id, timestamp) + elif object_modified_by_ddl[ + "operationType" + ] == "RENAME_TABLE" and object_modified_by_ddl["properties"].get("objectName"): + original_un = self.identifiers.gen_dataset_urn( + self.identifiers.get_dataset_identifier_from_qualified_name( + object_modified_by_ddl["objectName"] + ) + ) + + new_urn = self.identifiers.gen_dataset_urn( + self.identifiers.get_dataset_identifier_from_qualified_name( + object_modified_by_ddl["properties"]["objectName"]["value"] + ) + ) + + return TableRename(original_un, new_urn, query, session_id, timestamp) + else: + self.report.num_ddl_queries_dropped += 1 + return None + def close(self) -> None: self._exit_stack.close() @@ -542,6 +615,7 @@ def _build_enriched_query_log_query( user_name, direct_objects_accessed, objects_modified, + object_modified_by_ddl FROM snowflake.account_usage.access_history WHERE @@ -563,8 +637,9 @@ def _build_enriched_query_log_query( ) as direct_objects_accessed, -- TODO: Drop the columns.baseSources subfield. FILTER(objects_modified, o -> o:objectDomain IN {SnowflakeQuery.ACCESS_HISTORY_TABLE_VIEW_DOMAINS_FILTER}) as objects_modified, + case when object_modified_by_ddl:objectDomain IN {SnowflakeQuery.ACCESS_HISTORY_TABLE_VIEW_DOMAINS_FILTER} then object_modified_by_ddl else null end as object_modified_by_ddl FROM raw_access_history - WHERE ( array_size(direct_objects_accessed) > 0 or array_size(objects_modified) > 0 ) + WHERE ( array_size(direct_objects_accessed) > 0 or array_size(objects_modified) > 0 or object_modified_by_ddl is not null ) ) , query_access_history AS ( SELECT @@ -586,6 +661,7 @@ def _build_enriched_query_log_query( q.role_name AS "ROLE_NAME", a.direct_objects_accessed, a.objects_modified, + a.object_modified_by_ddl FROM deduplicated_queries q JOIN filtered_access_history a USING (query_id) ) diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/oracle.py b/metadata-ingestion/src/datahub/ingestion/source/sql/oracle.py index dcc1340c81d7b7..3823c123d06cf6 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/sql/oracle.py +++ b/metadata-ingestion/src/datahub/ingestion/source/sql/oracle.py @@ -1,11 +1,13 @@ import logging import re + +# This import verifies that the dependencies are available. +import sys from collections import defaultdict from typing import Any, Dict, Iterable, List, NoReturn, Optional, Tuple, Union, cast from unittest.mock import patch -# This import verifies that the dependencies are available. -import cx_Oracle +import oracledb import pydantic import sqlalchemy.engine from pydantic.fields import Field @@ -31,6 +33,9 @@ logger = logging.getLogger(__name__) +oracledb.version = "8.3.0" +sys.modules["cx_Oracle"] = oracledb + extra_oracle_types = { make_sqlalchemy_type("SDO_GEOMETRY"), make_sqlalchemy_type("SDO_POINT_TYPE"), @@ -47,10 +52,10 @@ def _raise_err(exc: Exception) -> NoReturn: def output_type_handler(cursor, name, defaultType, size, precision, scale): """Add CLOB and BLOB support to Oracle connection.""" - if defaultType == cx_Oracle.CLOB: - return cursor.var(cx_Oracle.LONG_STRING, arraysize=cursor.arraysize) - elif defaultType == cx_Oracle.BLOB: - return cursor.var(cx_Oracle.LONG_BINARY, arraysize=cursor.arraysize) + if defaultType == oracledb.CLOB: + return cursor.var(oracledb.DB_TYPE_LONG, arraysize=cursor.arraysize) + elif defaultType == oracledb.BLOB: + return cursor.var(oracledb.DB_TYPE_LONG_RAW, arraysize=cursor.arraysize) def before_cursor_execute(conn, cursor, statement, parameters, context, executemany): @@ -60,7 +65,7 @@ def before_cursor_execute(conn, cursor, statement, parameters, context, executem class OracleConfig(BasicSQLAlchemyConfig): # defaults scheme: str = Field( - default="oracle+cx_oracle", + default="oracle+oracledb", description="Will be set automatically to default value.", ) service_name: Optional[str] = Field( diff --git a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py index 3ead59eed2d39a..7d82d99412ffe8 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py +++ b/metadata-ingestion/src/datahub/ingestion/source/sql/sql_config.py @@ -2,6 +2,8 @@ from abc import abstractmethod from typing import Any, Dict, Optional +import cachetools +import cachetools.keys import pydantic from pydantic import Field from sqlalchemy.engine import URL @@ -27,6 +29,7 @@ StatefulIngestionConfigBase, ) from datahub.ingestion.source_config.operation_config import is_profiling_enabled +from datahub.utilities.cachetools_keys import self_methodkey logger: logging.Logger = logging.getLogger(__name__) @@ -115,6 +118,13 @@ class SQLCommonConfig( # Custom Stateful Ingestion settings stateful_ingestion: Optional[StatefulStaleMetadataRemovalConfig] = None + # TRICKY: The operation_config is time-dependent. Because we don't want to change + # whether or not we're running profiling mid-ingestion, we cache the result of this method. + # TODO: This decorator should be moved to the is_profiling_enabled(operation_config) method. + @cachetools.cached( + cache=cachetools.LRUCache(maxsize=1), + key=self_methodkey, + ) def is_profiling_enabled(self) -> bool: return self.profiling.enabled and is_profiling_enabled( self.profiling.operation_config diff --git a/metadata-ingestion/src/datahub/ingestion/source/superset.py b/metadata-ingestion/src/datahub/ingestion/source/superset.py index 4e40407fba9086..5ce33da5c55fac 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/superset.py +++ b/metadata-ingestion/src/datahub/ingestion/source/superset.py @@ -82,6 +82,8 @@ "box_plot": ChartTypeClass.BAR, } +platform_without_databases = ["druid"] + class SupersetConfig( StatefulIngestionConfigBase, EnvConfigMixin, PlatformInstanceConfigMixin @@ -252,17 +254,30 @@ def get_datasource_urn_from_id(self, datasource_id): dataset_response = self.session.get( f"{self.config.connect_uri}/api/v1/dataset/{datasource_id}" ).json() + schema_name = dataset_response.get("result", {}).get("schema") table_name = dataset_response.get("result", {}).get("table_name") database_id = dataset_response.get("result", {}).get("database", {}).get("id") + platform = self.get_platform_from_database_id(database_id) + database_name = ( dataset_response.get("result", {}).get("database", {}).get("database_name") ) database_name = self.config.database_alias.get(database_name, database_name) + # Druid do not have a database concept and has a limited schema concept, but they are nonetheless reported + # from superset. There is only one database per platform instance, and one schema named druid, so it would be + # redundant to systemically store them both in the URN. + if platform in platform_without_databases: + database_name = None + + if platform == "druid" and schema_name == "druid": + # Follow DataHub's druid source convention. + schema_name = None + if database_id and table_name: return make_dataset_urn( - platform=self.get_platform_from_database_id(database_id), + platform=platform, name=".".join( name for name in [database_name, schema_name, table_name] if name ), diff --git a/metadata-ingestion/src/datahub/ingestion/source/tableau/tableau.py b/metadata-ingestion/src/datahub/ingestion/source/tableau/tableau.py index 2c17a5a322f052..c1d899f11f2e1d 100644 --- a/metadata-ingestion/src/datahub/ingestion/source/tableau/tableau.py +++ b/metadata-ingestion/src/datahub/ingestion/source/tableau/tableau.py @@ -1,3 +1,4 @@ +import json import logging import re import time @@ -26,6 +27,8 @@ from pydantic.fields import Field from requests.adapters import HTTPAdapter from tableauserverclient import ( + GroupItem, + PermissionsRule, PersonalAccessTokenAuth, Server, ServerResponseError, @@ -216,6 +219,11 @@ class TableauConnectionConfig(ConfigModel): description="Whether to verify SSL certificates. If using self-signed certificates, set to false or provide the path to the .pem certificate bundle.", ) + session_trust_env: bool = Field( + False, + description="Configures the trust_env property in the requests session. If set to false (default value) it will bypass proxy settings. See https://requests.readthedocs.io/en/latest/api/#requests.Session.trust_env for more information.", + ) + extract_column_level_lineage: bool = Field( True, description="When enabled, extracts column-level lineage from Tableau Datasources", @@ -265,8 +273,7 @@ def make_tableau_client(self, site: str) -> Server: }, ) - # From https://stackoverflow.com/a/50159273/5004662. - server._session.trust_env = False + server._session.trust_env = self.session_trust_env # Setup request retries. adapter = HTTPAdapter( @@ -298,6 +305,23 @@ def make_tableau_client(self, site: str) -> Server: ) from e +class PermissionIngestionConfig(ConfigModel): + enable_workbooks: bool = Field( + default=True, + description="Whether or not to enable group permission ingestion for workbooks. " + "Default: True", + ) + + group_name_pattern: AllowDenyPattern = Field( + default=AllowDenyPattern.allow_all(), + description="Filter for Tableau group names when ingesting group permissions. " + "For example, you could filter for groups that include the term 'Consumer' in their name by adding '^.*Consumer$' to the allow list." + "By default, all groups will be ingested. " + "You can both allow and deny groups based on their name using their name, or a Regex pattern. " + "Deny patterns always take precedence over allow patterns. ", + ) + + class TableauConfig( DatasetLineageProviderConfigBase, StatefulIngestionConfigBase, @@ -459,6 +483,11 @@ class TableauConfig( description="When enabled, sites are added as containers and therefore visible in the folder structure within Datahub.", ) + permission_ingestion: Optional[PermissionIngestionConfig] = Field( + default=None, + description="Configuration settings for ingesting Tableau groups and their capabilities as custom properties.", + ) + # pre = True because we want to take some decision before pydantic initialize the configuration to default values @root_validator(pre=True) def projects_backward_compatibility(cls, values: Dict) -> Dict: @@ -732,6 +761,8 @@ def __init__( self.workbook_project_map: Dict[str, str] = {} self.datasource_project_map: Dict[str, str] = {} + self.group_map: Dict[str, GroupItem] = {} + # This map keeps track of the database server connection hostnames. self.database_server_hostname_map: Dict[str, str] = {} # This list keeps track of sheets in workbooks so that we retrieve those @@ -2803,6 +2834,18 @@ def emit_workbook_as_container(self, workbook: Dict) -> Iterable[MetadataWorkUni f"Could not load project hierarchy for workbook {workbook_name}({workbook_id}). Please check permissions." ) + custom_props = None + if ( + self.config.permission_ingestion + and self.config.permission_ingestion.enable_workbooks + ): + logger.debug(f"Ingest access roles of workbook-id='{workbook.get(c.LUID)}'") + workbook_instance = self.server.workbooks.get_by_id(workbook.get(c.LUID)) + self.server.workbooks.populate_permissions(workbook_instance) + custom_props = self._create_workbook_properties( + workbook_instance.permissions + ) + yield from gen_containers( container_key=workbook_container_key, name=workbook.get(c.NAME) or "", @@ -2811,6 +2854,7 @@ def emit_workbook_as_container(self, workbook: Dict) -> Iterable[MetadataWorkUni sub_types=[BIContainerSubTypes.TABLEAU_WORKBOOK], owner_urn=owner_urn, external_url=workbook_external_url, + extra_properties=custom_props, tags=tags, ) @@ -3168,11 +3212,53 @@ def emit_site_container(self): sub_types=[c.SITE], ) + def _fetch_groups(self): + for group in TSC.Pager(self.server.groups): + self.group_map[group.id] = group + + def _get_allowed_capabilities(self, capabilities: Dict[str, str]) -> List[str]: + if not self.config.permission_ingestion: + return [] + + allowed_capabilities = [ + key for key, value in capabilities.items() if value == "Allow" + ] + return allowed_capabilities + + def _create_workbook_properties( + self, permissions: List[PermissionsRule] + ) -> Optional[Dict[str, str]]: + if not self.config.permission_ingestion: + return None + + groups = [] + for rule in permissions: + if rule.grantee.tag_name == "group": + group = self.group_map.get(rule.grantee.id) + if not group or not group.name: + logger.debug(f"Group {rule.grantee.id} not found in group map.") + continue + if not self.config.permission_ingestion.group_name_pattern.allowed( + group.name + ): + logger.info( + f"Skip permission '{group.name}' as it's excluded in group_name_pattern." + ) + continue + + capabilities = self._get_allowed_capabilities(rule.capabilities) + groups.append({"group": group.name, "capabilities": capabilities}) + + return {"permissions": json.dumps(groups)} if len(groups) > 0 else None + def ingest_tableau_site(self): # Initialise the dictionary to later look-up for chart and dashboard stat if self.config.extract_usage_stats: self._populate_usage_stat_registry() + if self.config.permission_ingestion: + self._fetch_groups() + # Populate the map of database names and database hostnames to be used later to map # databases to platform instances. if self.config.database_hostname_to_platform_instance_map: diff --git a/metadata-ingestion/src/datahub/ingestion/transformer/system_metadata_transformer.py b/metadata-ingestion/src/datahub/ingestion/transformer/system_metadata_transformer.py index 8a0636f5a11a9c..3b5f26c127741d 100644 --- a/metadata-ingestion/src/datahub/ingestion/transformer/system_metadata_transformer.py +++ b/metadata-ingestion/src/datahub/ingestion/transformer/system_metadata_transformer.py @@ -31,14 +31,14 @@ def auto_system_metadata( class SystemMetadataTransformer(Transformer): def __init__(self, ctx: PipelineContext): - self._inner_transfomer = AutoHelperTransformer( + self._inner_transformer = AutoHelperTransformer( functools.partial(auto_system_metadata, ctx) ) def transform( self, record_envelopes: Iterable[RecordEnvelope] ) -> Iterable[RecordEnvelope]: - yield from self._inner_transfomer.transform(record_envelopes) + yield from self._inner_transformer.transform(record_envelopes) @classmethod def create(cls, config_dict: dict, ctx: PipelineContext) -> Transformer: diff --git a/metadata-ingestion/src/datahub/sql_parsing/_sqlglot_patch.py b/metadata-ingestion/src/datahub/sql_parsing/_sqlglot_patch.py new file mode 100644 index 00000000000000..fc3f877ede6299 --- /dev/null +++ b/metadata-ingestion/src/datahub/sql_parsing/_sqlglot_patch.py @@ -0,0 +1,215 @@ +import dataclasses +import difflib +import logging + +import patchy.api +import sqlglot +import sqlglot.expressions +import sqlglot.lineage +import sqlglot.optimizer.scope +import sqlglot.optimizer.unnest_subqueries + +from datahub.utilities.is_pytest import is_pytest_running +from datahub.utilities.unified_diff import apply_diff + +# This injects a few patches into sqlglot to add features and mitigate +# some bugs and performance issues. +# The diffs in this file should match the diffs declared in our fork. +# https://github.com/tobymao/sqlglot/compare/main...hsheth2:sqlglot:main +# For a diff-formatted view, see: +# https://github.com/tobymao/sqlglot/compare/main...hsheth2:sqlglot:main.diff + +_DEBUG_PATCHER = is_pytest_running() or True +logger = logging.getLogger(__name__) + +_apply_diff_subprocess = patchy.api._apply_patch + + +def _new_apply_patch(source: str, patch_text: str, forwards: bool, name: str) -> str: + assert forwards, "Only forward patches are supported" + + result = apply_diff(source, patch_text) + + # TODO: When in testing mode, still run the subprocess and check that the + # results line up. + if _DEBUG_PATCHER: + result_subprocess = _apply_diff_subprocess(source, patch_text, forwards, name) + if result_subprocess != result: + logger.info("Results from subprocess and _apply_diff do not match") + logger.debug(f"Subprocess result:\n{result_subprocess}") + logger.debug(f"Our result:\n{result}") + diff = difflib.unified_diff( + result_subprocess.splitlines(), result.splitlines() + ) + logger.debug("Diff:\n" + "\n".join(diff)) + raise ValueError("Results from subprocess and _apply_diff do not match") + + return result + + +patchy.api._apply_patch = _new_apply_patch + + +def _patch_deepcopy() -> None: + patchy.patch( + sqlglot.expressions.Expression.__deepcopy__, + """\ +@@ -1,4 +1,7 @@ def meta(self) -> t.Dict[str, t.Any]: + def __deepcopy__(self, memo): ++ import datahub.utilities.cooperative_timeout ++ datahub.utilities.cooperative_timeout.cooperate() ++ + root = self.__class__() + stack = [(self, root)] +""", + ) + + +def _patch_scope_traverse() -> None: + # Circular scope dependencies can happen in somewhat specific circumstances + # due to our usage of sqlglot. + # See https://github.com/tobymao/sqlglot/pull/4244 + patchy.patch( + sqlglot.optimizer.scope.Scope.traverse, + """\ +@@ -5,9 +5,16 @@ def traverse(self): + Scope: scope instances in depth-first-search post-order + \""" + stack = [self] ++ seen_scopes = set() + result = [] + while stack: + scope = stack.pop() ++ ++ # Scopes aren't hashable, so we use id(scope) instead. ++ if id(scope) in seen_scopes: ++ raise OptimizeError(f"Scope {scope} has a circular scope dependency") ++ seen_scopes.add(id(scope)) ++ + result.append(scope) + stack.extend( + itertools.chain( +""", + ) + + +def _patch_unnest_subqueries() -> None: + patchy.patch( + sqlglot.optimizer.unnest_subqueries.decorrelate, + """\ +@@ -261,16 +261,19 @@ def remove_aggs(node): + if key in group_by: + key.replace(nested) + elif isinstance(predicate, exp.EQ): +- parent_predicate = _replace( +- parent_predicate, +- f"({parent_predicate} AND ARRAY_CONTAINS({nested}, {column}))", +- ) ++ if parent_predicate: ++ parent_predicate = _replace( ++ parent_predicate, ++ f"({parent_predicate} AND ARRAY_CONTAINS({nested}, {column}))", ++ ) + else: + key.replace(exp.to_identifier("_x")) +- parent_predicate = _replace( +- parent_predicate, +- f"({parent_predicate} AND ARRAY_ANY({nested}, _x -> {predicate}))", +- ) ++ ++ if parent_predicate: ++ parent_predicate = _replace( ++ parent_predicate, ++ f"({parent_predicate} AND ARRAY_ANY({nested}, _x -> {predicate}))", ++ ) +""", + ) + + +def _patch_lineage() -> None: + # Add the "subfield" attribute to sqlglot.lineage.Node. + # With dataclasses, the easiest way to do this is with inheritance. + # Unfortunately, mypy won't pick up on the new field, so we need to + # use type ignores everywhere we use subfield. + @dataclasses.dataclass(frozen=True) + class Node(sqlglot.lineage.Node): + subfield: str = "" + + sqlglot.lineage.Node = Node # type: ignore + + patchy.patch( + sqlglot.lineage.lineage, + """\ +@@ -12,7 +12,8 @@ def lineage( + \""" + + expression = maybe_parse(sql, dialect=dialect) +- column = normalize_identifiers.normalize_identifiers(column, dialect=dialect).name ++ # column = normalize_identifiers.normalize_identifiers(column, dialect=dialect).name ++ assert isinstance(column, str) + + if sources: + expression = exp.expand( +""", + ) + + patchy.patch( + sqlglot.lineage.to_node, + """\ +@@ -235,11 +237,12 @@ def to_node( + ) + + # Find all columns that went into creating this one to list their lineage nodes. +- source_columns = set(find_all_in_scope(select, exp.Column)) ++ source_columns = list(find_all_in_scope(select, exp.Column)) + +- # If the source is a UDTF find columns used in the UTDF to generate the table ++ # If the source is a UDTF find columns used in the UDTF to generate the table ++ source = scope.expression + if isinstance(source, exp.UDTF): +- source_columns |= set(source.find_all(exp.Column)) ++ source_columns += list(source.find_all(exp.Column)) + derived_tables = [ + source.expression.parent + for source in scope.sources.values() +@@ -254,6 +257,7 @@ def to_node( + if dt.comments and dt.comments[0].startswith("source: ") + } + ++ c: exp.Column + for c in source_columns: + table = c.table + source = scope.sources.get(table) +@@ -281,8 +285,21 @@ def to_node( + # it means this column's lineage is unknown. This can happen if the definition of a source used in a query + # is not passed into the `sources` map. + source = source or exp.Placeholder() ++ ++ subfields = [] ++ field: exp.Expression = c ++ while isinstance(field.parent, exp.Dot): ++ field = field.parent ++ subfields.append(field.name) ++ subfield = ".".join(subfields) ++ + node.downstream.append( +- Node(name=c.sql(comments=False), source=source, expression=source) ++ Node( ++ name=c.sql(comments=False), ++ source=source, ++ expression=source, ++ subfield=subfield, ++ ) + ) + + return node +""", + ) + + +_patch_deepcopy() +_patch_scope_traverse() +_patch_unnest_subqueries() +_patch_lineage() + +SQLGLOT_PATCHED = True diff --git a/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py b/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py index 0b7ad14a8c1b41..255d4c6e6bb744 100644 --- a/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py +++ b/metadata-ingestion/src/datahub/sql_parsing/sql_parsing_aggregator.py @@ -174,6 +174,28 @@ class KnownLineageMapping: lineage_type: str = models.DatasetLineageTypeClass.COPY +@dataclasses.dataclass +class TableRename: + original_urn: UrnStr + new_urn: UrnStr + query: Optional[str] = None + session_id: str = _MISSING_SESSION_ID + timestamp: Optional[datetime] = None + + +@dataclasses.dataclass +class TableSwap: + urn1: UrnStr + urn2: UrnStr + query: Optional[str] = None + session_id: str = _MISSING_SESSION_ID + timestamp: Optional[datetime] = None + + def id(self) -> str: + # TableSwap(A,B) is same as TableSwap(B,A) + return str(hash(frozenset([self.urn1, self.urn2]))) + + @dataclasses.dataclass class PreparsedQuery: # If not provided, we will generate one using the fast fingerprint generator. @@ -237,6 +259,7 @@ class SqlAggregatorReport(Report): num_preparsed_queries: int = 0 num_known_mapping_lineage: int = 0 num_table_renames: int = 0 + num_table_swaps: int = 0 # Temp tables. num_temp_sessions: Optional[int] = None @@ -423,8 +446,7 @@ def __init__( # Map of session ID -> {temp table name -> query id} # Needs to use the query_map to find the info about the query. - # This assumes that a temp table is created at most once per session. - self._temp_lineage_map = FileBackedDict[Dict[UrnStr, QueryId]]( + self._temp_lineage_map = FileBackedDict[Dict[UrnStr, OrderedSet[QueryId]]]( shared_connection=self._shared_connection, tablename="temp_lineage_map" ) self._exit_stack.push(self._temp_lineage_map) @@ -442,6 +464,12 @@ def __init__( ) self._exit_stack.push(self._table_renames) + # Map of table swaps, from unique swap id to TableSwap + self._table_swaps = FileBackedDict[TableSwap]( + shared_connection=self._shared_connection, tablename="table_swaps" + ) + self._exit_stack.push(self._table_swaps) + # Usage aggregator. This will only be initialized if usage statistics are enabled. # TODO: Replace with FileBackedDict. # TODO: The BaseUsageConfig class is much too broad for our purposes, and has a number of @@ -533,7 +561,12 @@ def is_allowed_table(self, urn: UrnStr) -> bool: def add( self, item: Union[ - KnownQueryLineageInfo, KnownLineageMapping, PreparsedQuery, ObservedQuery + KnownQueryLineageInfo, + KnownLineageMapping, + PreparsedQuery, + ObservedQuery, + TableRename, + TableSwap, ], ) -> None: if isinstance(item, KnownQueryLineageInfo): @@ -544,6 +577,10 @@ def add( self.add_preparsed_query(item) elif isinstance(item, ObservedQuery): self.add_observed_query(item) + elif isinstance(item, TableRename): + self.add_table_rename(item) + elif isinstance(item, TableSwap): + self.add_table_swap(item) else: raise ValueError(f"Cannot add unknown item type: {type(item)}") @@ -629,19 +666,11 @@ def add_known_lineage_mapping( query_id = self._known_lineage_query_id() # Generate CLL if schema of downstream is known - column_lineage: List[ColumnLineageInfo] = [] - if self._schema_resolver.has_urn(downstream_urn): - schema = self._schema_resolver._resolve_schema_info(downstream_urn) - if schema: - column_lineage = [ - ColumnLineageInfo( - downstream=DownstreamColumnRef( - table=downstream_urn, column=field_path - ), - upstreams=[ColumnRef(table=upstream_urn, column=field_path)], - ) - for field_path in schema - ] + column_lineage: List[ + ColumnLineageInfo + ] = self._generate_identity_column_lineage( + upstream_urn=upstream_urn, downstream_urn=downstream_urn + ) # Register the query. self._add_to_query_map( @@ -663,6 +692,25 @@ def add_known_lineage_mapping( # Register the lineage. self._lineage_map.for_mutation(downstream_urn, OrderedSet()).add(query_id) + def _generate_identity_column_lineage( + self, *, upstream_urn: UrnStr, downstream_urn: UrnStr + ) -> List[ColumnLineageInfo]: + column_lineage: List[ColumnLineageInfo] = [] + if self._schema_resolver.has_urn(downstream_urn): + schema = self._schema_resolver._resolve_schema_info(downstream_urn) + if schema: + column_lineage = [ + ColumnLineageInfo( + downstream=DownstreamColumnRef( + table=downstream_urn, column=field_path + ), + upstreams=[ColumnRef(table=upstream_urn, column=field_path)], + ) + for field_path in schema + ] + + return column_lineage + def add_view_definition( self, view_urn: Union[DatasetUrn, UrnStr], @@ -849,12 +897,6 @@ def add_preparsed_query( return out_table = parsed.downstream - # Handle table renames. - is_renamed_table = False - if out_table in self._table_renames: - out_table = self._table_renames[out_table] - is_renamed_table = True - # Register the query's lineage. if ( is_known_temp_table @@ -862,15 +904,10 @@ def add_preparsed_query( parsed.query_type.is_create() and parsed.query_type_props.get("temporary") ) + or self.is_temp_table(out_table) or ( - not is_renamed_table - and ( - self.is_temp_table(out_table) - or ( - require_out_table_schema - and not self._schema_resolver.has_urn(out_table) - ) - ) + require_out_table_schema + and not self._schema_resolver.has_urn(out_table) ) ): # Infer the schema of the output table and track it for later. @@ -878,9 +915,9 @@ def add_preparsed_query( self._inferred_temp_schemas[query_fingerprint] = parsed.inferred_schema # Also track the lineage for the temp table, for merging purposes later. - self._temp_lineage_map.for_mutation(parsed.session_id, {})[ - out_table - ] = query_fingerprint + self._temp_lineage_map.for_mutation(parsed.session_id, {}).setdefault( + out_table, OrderedSet() + ).add(query_fingerprint) # Also update schema resolver for missing session id if parsed.session_id == _MISSING_SESSION_ID and parsed.inferred_schema: @@ -896,26 +933,93 @@ def add_preparsed_query( def add_table_rename( self, - original_urn: UrnStr, - new_urn: UrnStr, + table_rename: TableRename, ) -> None: """Add a table rename to the aggregator. - This will so that all _future_ observed queries that reference the original urn - will instead generate usage and lineage for the new urn. + This will make all observed queries that reference the original urn + will instead generate lineage for the new urn. + """ + + self.report.num_table_renames += 1 + + # This will not work if the table is renamed multiple times. + self._table_renames[table_rename.original_urn] = table_rename.new_urn + + original_table = self._name_from_urn(table_rename.original_urn) + new_table = self._name_from_urn(table_rename.new_urn) + + self.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text=table_rename.query + or f"--Datahub generated query text--\n" + f"alter table {original_table} rename to {new_table}", + upstreams=[table_rename.original_urn], + downstream=table_rename.new_urn, + column_lineage=self._generate_identity_column_lineage( + downstream_urn=table_rename.new_urn, + upstream_urn=table_rename.original_urn, + ), + session_id=table_rename.session_id, + timestamp=table_rename.timestamp, + ) + ) - Currently, this does not affect any queries that have already been observed. - TODO: Add a mechanism to update the lineage for queries that have already been observed. + def add_table_swap(self, table_swap: TableSwap) -> None: + """Add a table swap to the aggregator. Args: - original_urn: The original dataset URN. - new_urn: The new dataset URN. + table_swap.urn1, table_swap.urn2: The dataset URNs to swap. """ - self.report.num_table_renames += 1 + if table_swap.id() in self._table_swaps: + # We have already processed this table swap once + return - # This will not work if the table is renamed multiple times. - self._table_renames[original_urn] = new_urn + self.report.num_table_swaps += 1 + self._table_swaps[table_swap.id()] = table_swap + table1 = self._name_from_urn(table_swap.urn1) + table2 = self._name_from_urn(table_swap.urn2) + + # NOTE: Both queries are different on purpose. Currently, we can not + # store (A->B) and (B->A) lineage against same query. + + # NOTE: we do not store upstreams for temp table on purpose, as that would + # otherwise overwrite original upstream query of temp table because + # currently a temporay table can have only one upstream query. + + if not self.is_temp_table(table_swap.urn2): + self.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text=f"--Datahub generated query text--" + f"\nalter table {table1} swap with {table2}", + upstreams=[table_swap.urn1], + downstream=table_swap.urn2, + column_lineage=self._generate_identity_column_lineage( + upstream_urn=table_swap.urn1, downstream_urn=table_swap.urn2 + ), + session_id=table_swap.session_id, + timestamp=table_swap.timestamp, + ) + ) + + if not self.is_temp_table(table_swap.urn1): + self.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text=f"--Datahub generated query text--\n" + f"alter table {table2} swap with {table1}", + upstreams=[table_swap.urn2], + downstream=table_swap.urn1, + column_lineage=self._generate_identity_column_lineage( + upstream_urn=table_swap.urn2, downstream_urn=table_swap.urn1 + ), + session_id=table_swap.session_id, + timestamp=table_swap.timestamp, + ) + ) def _make_schema_resolver_for_session( self, session_id: str @@ -925,10 +1029,13 @@ def _make_schema_resolver_for_session( schema_resolver = self._missing_session_schema_resolver elif session_id in self._temp_lineage_map: temp_table_schemas: Dict[str, Optional[List[models.SchemaFieldClass]]] = {} - for temp_table_urn, query_id in self._temp_lineage_map[session_id].items(): - temp_table_schemas[temp_table_urn] = self._inferred_temp_schemas.get( - query_id - ) + for temp_table_urn, query_ids in self._temp_lineage_map[session_id].items(): + for query_id in query_ids: + temp_table_schemas[ + temp_table_urn + ] = self._inferred_temp_schemas.get(query_id) + if temp_table_schemas: + break if temp_table_schemas: schema_resolver = self._schema_resolver.with_temp_tables( @@ -1422,6 +1529,13 @@ class QueryLineageInfo: column_lineage: List[ColumnLineageInfo] confidence_score: float + def _merge_lineage_from(self, other_query: "QueryLineageInfo") -> None: + self.upstreams += other_query.upstreams + self.column_lineage += other_query.column_lineage + self.confidence_score = min( + self.confidence_score, other_query.confidence_score + ) + def _recurse_into_query( query: QueryMetadata, recursion_path: List[QueryId] ) -> QueryLineageInfo: @@ -1438,15 +1552,24 @@ def _recurse_into_query( # Find all the temp tables that this query depends on. temp_upstream_queries: Dict[UrnStr, QueryLineageInfo] = {} for upstream in query.upstreams: - upstream_query_id = self._temp_lineage_map.get(session_id, {}).get( + upstream_query_ids = self._temp_lineage_map.get(session_id, {}).get( upstream ) - if upstream_query_id: - upstream_query = self._query_map.get(upstream_query_id) - if upstream_query: - temp_upstream_queries[upstream] = _recurse_into_query( - upstream_query, recursion_path - ) + if upstream_query_ids: + for upstream_query_id in upstream_query_ids: + upstream_query = self._query_map.get(upstream_query_id) + if upstream_query: + temp_query_lineage_info = _recurse_into_query( + upstream_query, recursion_path + ) + if upstream in temp_upstream_queries: + temp_upstream_queries[upstream]._merge_lineage_from( + temp_query_lineage_info + ) + else: + temp_upstream_queries[ + upstream + ] = temp_query_lineage_info # Compute merged upstreams. new_upstreams = OrderedSet[UrnStr]() @@ -1512,7 +1635,17 @@ def _recurse_into_query( # - Update the lineage info # - Update the query text to combine the queries - composite_query_id = self._composite_query_id(composed_of_queries) + ordered_queries = [ + self._query_map[query_id] for query_id in reversed(composed_of_queries) + ] + if all(q.latest_timestamp for q in ordered_queries): + ordered_queries = sorted( + ordered_queries, + key=lambda query: make_ts_millis(query.latest_timestamp) or 0, + ) + composite_query_id = self._composite_query_id( + [q.query_id for q in ordered_queries] + ) composed_of_queries_truncated: LossyList[str] = LossyList() for query_id in composed_of_queries: composed_of_queries_truncated.append(query_id) @@ -1521,10 +1654,7 @@ def _recurse_into_query( ] = composed_of_queries_truncated merged_query_text = ";\n\n".join( - [ - self._query_map[query_id].formatted_query_string - for query_id in reversed(composed_of_queries) - ] + [q.formatted_query_string for q in ordered_queries] ) resolved_query = dataclasses.replace( diff --git a/metadata-ingestion/src/datahub/sql_parsing/sqlglot_lineage.py b/metadata-ingestion/src/datahub/sql_parsing/sqlglot_lineage.py index 6a7ff5be6d1ea8..b635f8cb47b6d2 100644 --- a/metadata-ingestion/src/datahub/sql_parsing/sqlglot_lineage.py +++ b/metadata-ingestion/src/datahub/sql_parsing/sqlglot_lineage.py @@ -1,3 +1,5 @@ +from datahub.sql_parsing._sqlglot_patch import SQLGLOT_PATCHED + import dataclasses import functools import logging @@ -53,6 +55,8 @@ cooperative_timeout, ) +assert SQLGLOT_PATCHED + logger = logging.getLogger(__name__) Urn = str diff --git a/metadata-ingestion/src/datahub/sql_parsing/sqlglot_utils.py b/metadata-ingestion/src/datahub/sql_parsing/sqlglot_utils.py index b13a4b5524853b..5413161d0b7a3d 100644 --- a/metadata-ingestion/src/datahub/sql_parsing/sqlglot_utils.py +++ b/metadata-ingestion/src/datahub/sql_parsing/sqlglot_utils.py @@ -1,3 +1,5 @@ +from datahub.sql_parsing._sqlglot_patch import SQLGLOT_PATCHED + import functools import hashlib import logging @@ -8,6 +10,8 @@ import sqlglot.errors import sqlglot.optimizer.eliminate_ctes +assert SQLGLOT_PATCHED + logger = logging.getLogger(__name__) DialectOrStr = Union[sqlglot.Dialect, str] SQL_PARSE_CACHE_SIZE = 1000 diff --git a/metadata-ingestion/src/datahub/testing/compare_metadata_json.py b/metadata-ingestion/src/datahub/testing/compare_metadata_json.py index 155773f9898b47..bedc5bc8fcd5e5 100644 --- a/metadata-ingestion/src/datahub/testing/compare_metadata_json.py +++ b/metadata-ingestion/src/datahub/testing/compare_metadata_json.py @@ -89,10 +89,12 @@ def assert_metadata_files_equal( diff = diff_metadata_json(output, golden, ignore_paths, ignore_order=ignore_order) if diff and update_golden: if isinstance(diff, MCPDiff) and diff.is_delta_valid: + logger.info(f"Applying delta to golden file {golden_path}") diff.apply_delta(golden) write_metadata_file(pathlib.Path(golden_path), golden) else: # Fallback: just overwrite the golden file + logger.info(f"Overwriting golden file {golden_path}") shutil.copyfile(str(output_path), str(golden_path)) return diff --git a/metadata-ingestion/src/datahub/utilities/cachetools_keys.py b/metadata-ingestion/src/datahub/utilities/cachetools_keys.py new file mode 100644 index 00000000000000..e3c7d67c81cd3e --- /dev/null +++ b/metadata-ingestion/src/datahub/utilities/cachetools_keys.py @@ -0,0 +1,8 @@ +from typing import Any + +import cachetools.keys + + +def self_methodkey(self: Any, *args: Any, **kwargs: Any) -> Any: + # Keeps the id of self around + return cachetools.keys.hashkey(id(self), *args, **kwargs) diff --git a/metadata-ingestion/src/datahub/utilities/is_pytest.py b/metadata-ingestion/src/datahub/utilities/is_pytest.py new file mode 100644 index 00000000000000..68bb1b285a50e9 --- /dev/null +++ b/metadata-ingestion/src/datahub/utilities/is_pytest.py @@ -0,0 +1,5 @@ +import sys + + +def is_pytest_running() -> bool: + return "pytest" in sys.modules diff --git a/metadata-ingestion/src/datahub/utilities/unified_diff.py b/metadata-ingestion/src/datahub/utilities/unified_diff.py new file mode 100644 index 00000000000000..c896fd4df4d8f2 --- /dev/null +++ b/metadata-ingestion/src/datahub/utilities/unified_diff.py @@ -0,0 +1,236 @@ +import logging +from dataclasses import dataclass +from typing import List, Tuple + +logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO) + +_LOOKAROUND_LINES = 300 + +# The Python difflib library can generate unified diffs, but it cannot apply them. +# There weren't any well-maintained and easy-to-use libraries for applying +# unified diffs, so I wrote my own. +# +# My implementation is focused on ensuring correctness, and will throw +# an exception whenever it detects an issue. +# +# Alternatives considered: +# - diff-match-patch: This was the most promising since it's from Google. +# Unfortunately, they deprecated the library in Aug 2024. That may not have +# been a dealbreaker, since a somewhat greenfield community fork exists: +# https://github.com/dmsnell/diff-match-patch +# However, there's also a long-standing bug in the library around the +# handling of line breaks when parsing diffs. See: +# https://github.com/google/diff-match-patch/issues/157 +# - python-patch: Seems abandoned. +# - patch-ng: Fork of python-patch, but mainly targeted at applying patches to trees. +# It did not have simple "apply patch to string" abstractions. +# - unidiff: Parses diffs, but cannot apply them. + + +class InvalidDiffError(Exception): + pass + + +class DiffApplyError(Exception): + pass + + +@dataclass +class Hunk: + source_start: int + source_lines: int + target_start: int + target_lines: int + lines: List[Tuple[str, str]] + + +def parse_patch(patch_text: str) -> List[Hunk]: + """ + Parses a unified diff patch into a list of Hunk objects. + + Args: + patch_text: Unified diff format patch text + + Returns: + List of parsed Hunk objects + + Raises: + InvalidDiffError: If the patch is in an invalid format + """ + hunks = [] + patch_lines = patch_text.splitlines() + i = 0 + + while i < len(patch_lines): + line = patch_lines[i] + + if line.startswith("@@"): + try: + header_parts = line.split() + if len(header_parts) < 3: + raise ValueError(f"Invalid hunk header format: {line}") + + source_changes, target_changes = header_parts[1:3] + source_start, source_lines = map(int, source_changes[1:].split(",")) + target_start, target_lines = map(int, target_changes[1:].split(",")) + + hunk = Hunk(source_start, source_lines, target_start, target_lines, []) + i += 1 + + while i < len(patch_lines) and not patch_lines[i].startswith("@@"): + hunk_line = patch_lines[i] + if hunk_line: + hunk.lines.append((hunk_line[0], hunk_line[1:])) + else: + # Fully empty lines usually means an empty context line that was + # trimmed by trailing whitespace removal. + hunk.lines.append((" ", "")) + i += 1 + + hunks.append(hunk) + except (IndexError, ValueError) as e: + raise InvalidDiffError(f"Failed to parse hunk: {str(e)}") from e + else: + raise InvalidDiffError(f"Invalid line format: {line}") + + return hunks + + +def find_hunk_start(source_lines: List[str], hunk: Hunk) -> int: + """ + Finds the actual starting line of a hunk in the source lines. + + Args: + source_lines: The original source lines + hunk: The hunk to locate + + Returns: + The actual line number where the hunk starts + + Raises: + DiffApplyError: If the hunk's context cannot be found in the source lines + """ + + # Extract context lines from the hunk, stopping at the first non-context line + context_lines = [] + for prefix, line in hunk.lines: + if prefix == " ": + context_lines.append(line) + else: + break + + if not context_lines: + logger.debug("No context lines found in hunk.") + return hunk.source_start - 1 # Default to the original start if no context + + logger.debug( + f"Searching for {len(context_lines)} context lines, starting with {context_lines[0]}" + ) + + # Define the range to search for the context lines + search_start = max(0, hunk.source_start - _LOOKAROUND_LINES) + search_end = min(len(source_lines), hunk.source_start + _LOOKAROUND_LINES) + + # Iterate over the possible starting positions in the source lines + for i in range(search_start, search_end): + # Check if the context lines match the source lines starting at position i + match = True + for j, context_line in enumerate(context_lines): + if (i + j >= len(source_lines)) or source_lines[i + j] != context_line: + match = False + break + if match: + # logger.debug(f"Context match found at line: {i}") + return i + + logger.debug(f"Could not find match for hunk context lines: {context_lines}") + raise DiffApplyError("Could not find match for hunk context.") + + +def apply_hunk(result_lines: List[str], hunk: Hunk, hunk_index: int) -> None: + """ + Applies a single hunk to the result lines. + + Args: + result_lines: The current state of the patched file + hunk: The hunk to apply + hunk_index: The index of the hunk (for logging purposes) + + Raises: + DiffApplyError: If the hunk cannot be applied correctly + """ + current_line = find_hunk_start(result_lines, hunk) + logger.debug(f"Hunk {hunk_index + 1} start line: {current_line}") + + for line_index, (prefix, content) in enumerate(hunk.lines): + # logger.debug(f"Processing line {line_index + 1} of hunk {hunk_index + 1}") + # logger.debug(f"Current line: {current_line}, Total lines: {len(result_lines)}") + # logger.debug(f"Prefix: {prefix}, Content: {content}") + + if current_line >= len(result_lines): + logger.debug(f"Reached end of file while applying hunk {hunk_index + 1}") + while line_index < len(hunk.lines) and hunk.lines[line_index][0] == "+": + result_lines.append(hunk.lines[line_index][1]) + line_index += 1 + + # If there's context or deletions past the end of the file, that's an error. + if line_index < len(hunk.lines): + raise DiffApplyError( + f"Found context or deletions after end of file in hunk {hunk_index + 1}" + ) + break + + if prefix == "-": + if result_lines[current_line].strip() != content.strip(): + raise DiffApplyError( + f"Removing line that doesn't exactly match. Expected: '{content.strip()}', Found: '{result_lines[current_line].strip()}'" + ) + result_lines.pop(current_line) + elif prefix == "+": + result_lines.insert(current_line, content) + current_line += 1 + elif prefix == " ": + if result_lines[current_line].strip() != content.strip(): + raise DiffApplyError( + f"Context line doesn't exactly match. Expected: '{content.strip()}', Found: '{result_lines[current_line].strip()}'" + ) + current_line += 1 + else: + raise DiffApplyError( + f"Invalid line prefix '{prefix}' in hunk {hunk_index + 1}, line {line_index + 1}" + ) + + +def apply_diff(source: str, patch_text: str) -> str: + """ + Applies a unified diff patch to source text and returns the patched result. + + Args: + source: Original source text to be patched + patch_text: Unified diff format patch text (with @@ markers and hunks) + + Returns: + The patched text result + + Raises: + InvalidDiffError: If the patch is in an invalid format + DiffApplyError: If the patch cannot be applied correctly + """ + + # logger.debug(f"Original source:\n{source}") + # logger.debug(f"Patch text:\n{patch_text}") + + hunks = parse_patch(patch_text) + logger.debug(f"Parsed into {len(hunks)} hunks") + + source_lines = source.splitlines() + result_lines = source_lines.copy() + + for hunk_index, hunk in enumerate(hunks): + logger.debug(f"Processing hunk {hunk_index + 1}") + apply_hunk(result_lines, hunk, hunk_index) + + result = "\n".join(result_lines) + "\n" + # logger.debug(f"Patched result:\n{result}") + return result diff --git a/metadata-ingestion/tests/integration/bigquery_v2/bigquery_mcp_golden.json b/metadata-ingestion/tests/integration/bigquery_v2/bigquery_mcp_golden.json index 640ee1bf436b03..5e091596cc0f72 100644 --- a/metadata-ingestion/tests/integration/bigquery_v2/bigquery_mcp_golden.json +++ b/metadata-ingestion/tests/integration/bigquery_v2/bigquery_mcp_golden.json @@ -112,6 +112,26 @@ "lastRunId": "no-run-id-provided" } }, +{ + "entityType": "container", + "entityUrn": "urn:li:container:8df46c5e3ded05a3122b0015822c0ef0", + "changeType": "UPSERT", + "aspectName": "globalTags", + "aspect": { + "json": { + "tags": [ + { + "tag": "urn:li:tag:priority:medium:test" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1643871600000, + "runId": "bigquery-2022_02_03-07_00_00", + "lastRunId": "no-run-id-provided" + } +}, { "entityType": "container", "entityUrn": "urn:li:container:8df46c5e3ded05a3122b0015822c0ef0", @@ -257,6 +277,64 @@ "lastRunId": "no-run-id-provided" } }, +{ + "entityType": "platformResource", + "entityUrn": "urn:li:platformResource:7fbbf79fb726422dc2434222a8e30630", + "changeType": "UPSERT", + "aspectName": "platformResourceInfo", + "aspect": { + "json": { + "resourceType": "BigQueryLabelInfo", + "primaryKey": "priority/medium:test", + "secondaryKeys": [ + "urn:li:tag:priority:medium:test" + ], + "value": { + "blob": "{\"datahub_urn\": \"urn:li:tag:priority:medium:test\", \"managed_by_datahub\": false, \"key\": \"priority\", \"value\": \"medium:test\"}", + "contentType": "JSON", + "schemaType": "JSON", + "schemaRef": "BigQueryLabelInfo" + } + } + }, + "systemMetadata": { + "lastObserved": 1643871600000, + "runId": "bigquery-2022_02_03-07_00_00-2j2qqv", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "platformResource", + "entityUrn": "urn:li:platformResource:7fbbf79fb726422dc2434222a8e30630", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:bigquery" + } + }, + "systemMetadata": { + "lastObserved": 1643871600000, + "runId": "bigquery-2022_02_03-07_00_00-2j2qqv", + "lastRunId": "no-run-id-provided" + } +}, +{ + "entityType": "platformResource", + "entityUrn": "urn:li:platformResource:7fbbf79fb726422dc2434222a8e30630", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1643871600000, + "runId": "bigquery-2022_02_03-07_00_00-2j2qqv", + "lastRunId": "no-run-id-provided" + } +}, { "entityType": "platformResource", "entityUrn": "urn:li:platformResource:99b34051bd90d28d922b0e107277a916", @@ -1241,6 +1319,22 @@ "lastRunId": "no-run-id-provided" } }, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:priority:medium:test", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "priority:medium:test" + } + }, + "systemMetadata": { + "lastObserved": 1643871600000, + "runId": "bigquery-2022_02_03-07_00_00", + "lastRunId": "no-run-id-provided" + } +}, { "entityType": "tag", "entityUrn": "urn:li:tag:purchase", diff --git a/metadata-ingestion/tests/integration/bigquery_v2/bigquery_queries_mcps_golden.json b/metadata-ingestion/tests/integration/bigquery_v2/bigquery_queries_mcps_golden.json index 1b79e8464c05f1..9a4881f0169603 100644 --- a/metadata-ingestion/tests/integration/bigquery_v2/bigquery_queries_mcps_golden.json +++ b/metadata-ingestion/tests/integration/bigquery_v2/bigquery_queries_mcps_golden.json @@ -193,7 +193,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:bigquery,gcp-staging.smoke_test_db.base_table,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_0db44e02f671b69df68565346e9d2b68c7166fccf75bd494f34560bfa16c381b" + "query": "urn:li:query:composite_29c38b444a8740d9cc549168e2e0e3657fc00430520f615119bfc3e9fb94112d" } ] } @@ -206,7 +206,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_0db44e02f671b69df68565346e9d2b68c7166fccf75bd494f34560bfa16c381b", + "entityUrn": "urn:li:query:composite_29c38b444a8740d9cc549168e2e0e3657fc00430520f615119bfc3e9fb94112d", "changeType": "UPSERT", "aspectName": "queryProperties", "aspect": { @@ -425,7 +425,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_0db44e02f671b69df68565346e9d2b68c7166fccf75bd494f34560bfa16c381b", + "entityUrn": "urn:li:query:composite_29c38b444a8740d9cc549168e2e0e3657fc00430520f615119bfc3e9fb94112d", "changeType": "UPSERT", "aspectName": "querySubjects", "aspect": { @@ -508,7 +508,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_0db44e02f671b69df68565346e9d2b68c7166fccf75bd494f34560bfa16c381b", + "entityUrn": "urn:li:query:composite_29c38b444a8740d9cc549168e2e0e3657fc00430520f615119bfc3e9fb94112d", "changeType": "UPSERT", "aspectName": "dataPlatformInstance", "aspect": { @@ -7890,7 +7890,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_0db44e02f671b69df68565346e9d2b68c7166fccf75bd494f34560bfa16c381b", + "entityUrn": "urn:li:query:composite_29c38b444a8740d9cc549168e2e0e3657fc00430520f615119bfc3e9fb94112d", "changeType": "UPSERT", "aspectName": "status", "aspect": { diff --git a/metadata-ingestion/tests/integration/bigquery_v2/test_bigquery.py b/metadata-ingestion/tests/integration/bigquery_v2/test_bigquery.py index 39cefcb42f360b..1f146886361617 100644 --- a/metadata-ingestion/tests/integration/bigquery_v2/test_bigquery.py +++ b/metadata-ingestion/tests/integration/bigquery_v2/test_bigquery.py @@ -70,6 +70,7 @@ def recipe(mcp_output_path: str, source_config_override: dict = {}) -> dict: "include_table_lineage": True, "include_data_platform_instance": True, "capture_table_label_as_tag": True, + "capture_dataset_label_as_tag": True, "classification": ClassificationConfig( enabled=True, classifiers=[ @@ -141,7 +142,10 @@ def side_effect(*args: Any) -> Optional[PlatformResource]: get_platform_resource.side_effect = side_effect get_datasets_for_project_id.return_value = [ - BigqueryDataset(name=dataset_name, location="US") + # BigqueryDataset(name=dataset_name, location="US") + BigqueryDataset( + name=dataset_name, location="US", labels={"priority": "medium:test"} + ) ] table_list_item = TableListItem( diff --git a/metadata-ingestion/tests/integration/fivetran/test_fivetran.py b/metadata-ingestion/tests/integration/fivetran/test_fivetran.py index e72162b12e48fd..2e6c2b1370d166 100644 --- a/metadata-ingestion/tests/integration/fivetran/test_fivetran.py +++ b/metadata-ingestion/tests/integration/fivetran/test_fivetran.py @@ -13,6 +13,7 @@ from datahub.ingestion.source.fivetran.config import ( BigQueryDestinationConfig, FivetranSourceConfig, + PlatformDetail, SnowflakeDestinationConfig, ) from datahub.ingestion.source.fivetran.fivetran import FivetranSource @@ -43,7 +44,9 @@ def default_query_results( return [] elif query == fivetran_log_query.get_connectors_query(): return connector_query_results - elif query == fivetran_log_query.get_table_lineage_query(): + elif query == fivetran_log_query.get_table_lineage_query( + connector_ids=["calendar_elected"] + ): return [ { "connector_id": "calendar_elected", @@ -64,7 +67,9 @@ def default_query_results( "destination_schema_name": "postgres_public", }, ] - elif query == fivetran_log_query.get_column_lineage_query(): + elif query == fivetran_log_query.get_column_lineage_query( + connector_ids=["calendar_elected"] + ): return [ { "source_table_id": "10040", @@ -176,11 +181,9 @@ def test_fivetran_with_snowflake_dest(pytestconfig, tmp_path): "interval_unconstitutional", ] }, - "sources_to_database": { - "calendar_elected": "postgres_db", - }, "sources_to_platform_instance": { "calendar_elected": { + "database": "postgres_db", "env": "DEV", } }, @@ -267,12 +270,11 @@ def test_fivetran_with_snowflake_dest_and_null_connector_user(pytestconfig, tmp_ "interval_unconstitutional", ] }, - "sources_to_database": { - "calendar_elected": "postgres_db", - }, "sources_to_platform_instance": { "calendar_elected": { + "platform": "postgres", "env": "DEV", + "database": "postgres_db", } }, }, @@ -370,3 +372,34 @@ def test_rename_destination_config(): match="destination_config is deprecated, please use snowflake_destination_config instead.", ): FivetranSourceConfig.parse_obj(config_dict) + + +def test_compat_sources_to_database() -> None: + config_dict = { + # We just need a valid fivetran_log_config to test the compat transformation. + "fivetran_log_config": { + "destination_platform": "snowflake", + "snowflake_destination_config": { + "account_id": "testid", + "warehouse": "test_wh", + "username": "test", + "password": "test@123", + "database": "test_database", + "role": "testrole", + "log_schema": "test", + }, + }, + "sources_to_database": {"calendar_elected": "my_db", "connector_2": "my_db_2"}, + "sources_to_platform_instance": {"calendar_elected": {"env": "DEV"}}, + } + + with pytest.warns( + ConfigurationWarning, + match=r"sources_to_database.*deprecated", + ): + config = FivetranSourceConfig.parse_obj(config_dict) + + assert config.sources_to_platform_instance == { + "calendar_elected": PlatformDetail(env="DEV", database="my_db"), + "connector_2": PlatformDetail(database="my_db_2"), + } diff --git a/metadata-ingestion/tests/integration/mongodb/mongodb_mces_golden.json b/metadata-ingestion/tests/integration/mongodb/mongodb_mces_golden.json index 2666990ed13336..103977463a8f2a 100644 --- a/metadata-ingestion/tests/integration/mongodb/mongodb_mces_golden.json +++ b/metadata-ingestion/tests/integration/mongodb/mongodb_mces_golden.json @@ -93,6 +93,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "emptyCollection", "customProperties": {}, "tags": [] } @@ -503,6 +504,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "firstCollection", "customProperties": {}, "tags": [] } @@ -4201,6 +4203,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "largeCollection", "customProperties": { "schema.downsampled": "True", "schema.totalFields": "501" @@ -4444,6 +4447,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "secondCollection", "customProperties": {}, "tags": [] } diff --git a/metadata-ingestion/tests/integration/mongodb/mongodb_mces_small_schema_size_golden.json b/metadata-ingestion/tests/integration/mongodb/mongodb_mces_small_schema_size_golden.json index 577a053f1c741c..5cf1ff47a38661 100644 --- a/metadata-ingestion/tests/integration/mongodb/mongodb_mces_small_schema_size_golden.json +++ b/metadata-ingestion/tests/integration/mongodb/mongodb_mces_small_schema_size_golden.json @@ -93,6 +93,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "emptyCollection", "customProperties": {}, "tags": [] } @@ -359,6 +360,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "firstCollection", "customProperties": { "schema.downsampled": "True", "schema.totalFields": "22" @@ -580,6 +582,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "largeCollection", "customProperties": { "schema.downsampled": "True", "schema.totalFields": "502" @@ -823,6 +826,7 @@ "aspectName": "datasetProperties", "aspect": { "json": { + "name": "secondCollection", "customProperties": {}, "tags": [] } diff --git a/metadata-ingestion/tests/integration/tableau/tableau_permission_ingestion_mces_golden.json b/metadata-ingestion/tests/integration/tableau/tableau_permission_ingestion_mces_golden.json new file mode 100644 index 00000000000000..cfc66af6f45699 --- /dev/null +++ b/metadata-ingestion/tests/integration/tableau/tableau_permission_ingestion_mces_golden.json @@ -0,0 +1,44237 @@ +[ +{ + "entityType": "container", + "entityUrn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "tableau", + "project_id": "190a6a5c-63ed-4de1-8045-faeae5df5b01" + }, + "name": "default" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Project" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:252a054d4dd93cd657735aa46dd71370", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "tableau", + "project_id": "c30aafe5-44f4-4f28-80d3-d181010a263c" + }, + "name": "Project 2" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:252a054d4dd93cd657735aa46dd71370", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:252a054d4dd93cd657735aa46dd71370", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:252a054d4dd93cd657735aa46dd71370", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Project" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:252a054d4dd93cd657735aa46dd71370", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:d2dcd6bd1bb954d62f1cfc68332ee873", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "tableau", + "project_id": "910733aa-2e95-4ac3-a2e8-71570751099d" + }, + "name": "Samples" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:d2dcd6bd1bb954d62f1cfc68332ee873", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:d2dcd6bd1bb954d62f1cfc68332ee873", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:d2dcd6bd1bb954d62f1cfc68332ee873", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Project" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:d2dcd6bd1bb954d62f1cfc68332ee873", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:008e111aa1d250dd52e0fd5d4b307b1a", + "changeType": "UPSERT", + "aspectName": "containerProperties", + "aspect": { + "json": { + "customProperties": { + "platform": "tableau", + "workbook_id": "1f15d897-7f0c-7c59-037a-afa6a9b7c9a9", + "permissions": "[{\"group\": \"AB_XY00-Tableau-Access_A_123_PROJECT_XY_Consumer\", \"capabilities\": [\"Read\", \"ViewComments\"]}]" + }, + "externalUrl": "https://do-not-connect/#/site/acryl/workbooks/15995", + "name": "Email Performance by Campaign", + "description": "Description for Email Performance by Campaign" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:008e111aa1d250dd52e0fd5d4b307b1a", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:008e111aa1d250dd52e0fd5d4b307b1a", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "container", + "entityUrn": "urn:li:container:008e111aa1d250dd52e0fd5d4b307b1a", + "changeType": "UPSERT", + "aspectName": 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"isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)", + "schemaField": { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)", + "schemaField": { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,20fc5eb7-81eb-aa18-8c39-af501c62d085)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Top%2010%20Items%20by%20Requests%20and%20YoY%20Change", + "title": "Top 10 Items by Requests and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Name)", + "schemaField": { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b5351c1-535d-4a4a-1339-c51ddd6abf8a)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Problems", + "title": "Opened Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)", + "schemaField": { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)", + "schemaField": { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,2b73b9dd-4ec7-75ca-f2e9-fa1984ca8b72)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue", + "title": "Overdue", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,373c6466-bb0c-b319-8752-632456349261)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/High%20and%20Critical%20Priority%20Problems", + "title": "High and Critical Priority Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of critical and high priority)", + "schemaField": { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,53b8dc2f-8ada-51f7-7422-fe82e9b803cc)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Total%20Incidents%20by%20Category%20and%20YoY%20Change", + "title": "Total Incidents by Category and YoY Change", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,58af9ecf-b839-da50-65e1-2e1fa20e3362)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Known%20Errors", + "title": "Known Errors", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of known error)", + "schemaField": { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Known error)", + "schemaField": { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)", + "schemaField": { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "schemaField": { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,618b3e76-75c1-cb31-0c61-3f4890b72c31)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Requests", + "title": "Overdue Requests", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,721c3c41-7a2b-16a8-3281-6f948a44be96)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/AVG%20Time%20to%20Solve%20an%20Incident", + "title": "AVG Time to Solve an Incident", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)", + "schemaField": { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)", + "schemaField": { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7ef184c1-5a41-5ec8-723e-ae44c20aa335)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Made%20SLA%3F", + "title": "Made SLA?", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)", + "schemaField": { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "schemaField": { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + 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"urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,7fbc77ba-0ab6-3727-0db3-d8402a804da5)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/#/site/acryl/views/ExecutiveDashboard/Tooltip-IncidentBreakdownbyPriority", + "title": "Tooltip - Incident Breakdown by Priority", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,8385ea9a-0749-754f-7ad9-824433de2120)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Overdue%20Problems", + "title": "Overdue Problems", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)" + }, + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,b207c2f2-b675-32e3-2663-17bb836a018b)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),% of Overdue)", + "schemaField": { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": 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"ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)", + "schemaField": { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)", + "schemaField": { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,e70a540d-55ed-b9cc-5a3c-01ebe81a1274)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.ChartSnapshot": { + "urn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.chart.ChartInfo": { + "customProperties": {}, + "externalUrl": "https://do-not-connect/t/acryl/authoring/ExecutiveDashboard/ExecutiveDashboard/Opened%20Incidents", + "title": "Opened Incidents", + "description": "", + "lastModified": { + "created": { + "time": 1639768450000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + }, + "lastModified": { + "time": 1639768502000, + "actor": "urn:li:corpuser:jawadqu@gmail.com" + } + }, + "inputs": [ + { + "string": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)" + } + ] + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "chart", + "entityUrn": "urn:li:chart:(tableau,f76d3570-23b8-f74b-d85c-cc5484c2079c)", + "changeType": "UPSERT", + "aspectName": "inputFields", + "aspect": { + "json": { + "fields": [ + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "schemaField": { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Category %28Incident%29)", + "schemaField": { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "schemaField": { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)", + "schemaField": { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)", + "schemaField": { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "schemaField": { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "schemaField": { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)", + "schemaField": { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "schemaField": { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "schemaField": { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Priority)", + "schemaField": { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + } + }, + { + "schemaFieldUrn": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)", + "schemaField": { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. 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"dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_req_item,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Made SLA)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% made SLA)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the percentage of incidents which are overdue\r\n\r\n(IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an accident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\nIF [Active]=FALSE \r\nAND\r\n[Closed]>[Due date]\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\n[Active]=TRUE \r\nAND NOW()>[Due date]\r\n\r\nTHEN \"Overdue\"\r\nELSE \"Non Overdue\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total # Request)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD),Total Active Requests)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,06c3e060-8133-4b58-9b53-a0fced25e056,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": { + "hasExtracts": "True", + "extractLastRefreshTime": "2018-01-18T19:35:39Z", + "extractLastUpdateTime": "2018-01-18T19:35:39Z" + }, + "name": "Requests", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "hash": "", + "platformSchema": { + "com.linkedin.pegasus2avro.schema.OtherSchema": { + "rawSchema": "" + } + }, + "fields": [ + { + "fieldPath": "Closed by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Mobile Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% made SLA", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of requests which made SLA\r\n\r\nCOUNTD(IF [Made SLA]= TRUE\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Meta", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Recurring price", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Request", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the total number of problems ignoring opened date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Requested for date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered item link", + "nullable": false, + 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"isPartOfKey": false + }, + { + "fieldPath": "Description (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct request made in the last year. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + 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"fieldPath": "Delivery plan (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve Time", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": 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{} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created from item design", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Migrated Data", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.ArrayType": {} + } + }, + "nativeDataType": "TABLE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Catalog Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Hide price (mobile listings)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Availability", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Picture", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan script", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Requested Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Requests", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct active request. The \"exclude\" is used to avoid filters interfering with the final result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Request)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Request state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + 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shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "transformOperation": "CalculatedFieldformula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + 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The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Related Incidents)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Problems with Related Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Age of Problems)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Time Span Breakdown)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total # Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Active)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD),Total Active Problems)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. 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"nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Default assignee", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Workaround", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It checks if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])> max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active]=TRUE) \r\nAND NOW()> MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Migrated Data", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.ArrayType": {} + } + }, + "nativeDataType": "TABLE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Escalation (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time Span Breakdown", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It groups problems accordingly with their ages\r\n\r\nIF [Age of Problems]< 2592000\r\nTHEN \"Under 30 d\"\r\nELSEIF [Age of Problems] > 7776000\r\nTHEN \"+ than 90d\"\r\nELSE \" 30-90 d\"\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "u_", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change request", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of incidents that are overdue\r\n\r\nIFNULL((IF ATTR([Overdue]= \"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND),0)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Roles", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total # Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct problems ignoring date\r\n\r\n{ EXCLUDE [Opened]: COUNTD([Number])}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Exclude manager", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lucha", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problems with Related Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct problems which has a related incident\r\n\r\nCOUNT(IF ([Related Incidents]>0\r\nAND NOT ISNULL([Related Incidents]))=true\r\nTHEN [Number]\r\nEND)", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Related Incidents", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "User input", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of known error", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of problems that are known errors\r\n\r\nCOUNTD(IF [Known error]=TRUE\r\nTHEN [Number] END)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem state", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if the year of opened is equal the max year of the dataset \r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Known error", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group email", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Age of Problems", + "nullable": false, + "description": "formula: //Calculates the age of active problems since opened until now\r\n\r\nDATEDIFF('second', [Opened], NOW())", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + }, + { + "tag": "urn:li:tag:SUM" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "% of critical and high priority", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows the percentage of critical or high priority problems\r\n\r\nCOUNTD(IF [Priority]=1\r\nOR [Priority]=2\r\nTHEN [Number]\r\nEND)\r\n/\r\nCOUNTD([Number])", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional assignee list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Include members", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each disctinct problem. The \"exclude\" is used to avoid filters interfering with the result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Problem)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Problems", + "nullable": false, + "description": "formula: // This is a calculated field using a level of detail calculation (LOD)\r\n// It counts each distinct active problem. The \"exclude\" is used to avoid filters interfering with the result \r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates (Group)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,3ade7817-ae27-259e-8e48-1570e7f932f6,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.incident,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "type": "TRANSFORMED" + }, + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.cmdb_ci,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),% of Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It show the percentage incidents which are overdue\r\n\r\n(IF ATTR([Overdue]=\"Overdue\")\r\nTHEN COUNTD([Number])\r\nEND)\r\n/\r\nATTR({ EXCLUDE [Overdue]:\r\nCOUNTD([Number])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Current Year Total Cases)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened Month Tooltip)" + ], + "transformOperation": "CalculatedFieldformula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Due date)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Closed)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident %28seconds%29)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Time to Close an Incident)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Opened)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Overdue)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Active)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Max Year?)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Number)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD),Total Active Incidents)" + ], + "transformOperation": "CalculatedFieldformula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/default/Executive Dashboard" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + 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"description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caller (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Department", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolved by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Current Year Total Cases", + "nullable": false, + "description": "formula: // This is a calculated field using level of detail calculation\r\n// It counts each distinct incident. The exclude is used to guarantee that filters will not interfere in the result\r\n\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Max Year?]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Close notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Managed by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Names", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "PO number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Short description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Child Incidents (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "IP Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Asset tag", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Manufacturer", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked out", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fully qualified domain name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Installed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Purchased", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.DateType": {} + } + }, + "nativeDataType": "DATE", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Lease contract", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Vendor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Overdue", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows if an incident is overdue\r\n\r\n//Check overdue cases among inactive incidents\r\n{ FIXED [Number]:\r\n\r\nIF MAX([Active]=FALSE) \r\nAND\r\nmax([Closed])>max([Due date])\r\n\r\nOR\r\n//Check overdue cases among active incidents\r\nMAX([Active] = TRUE) \r\nAND NOW() > MAX([Due date]) \r\n\r\nTHEN \"Overdue\"\r\nEND\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval history", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Category (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent Incident (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost currency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "SLA due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Impact (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Monitor", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Serial number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Model ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Parent (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident (seconds)", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It calculates the difference in seconds between opening and closing an incident\r\n\r\n// Check if closed date is valid\r\nIF [Closed]>[Opened]\r\nTHEN\r\n//Calculate difference\r\nDATEDIFF('second', [Opened], [Closed])\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Owned by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Activity due", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Invoice number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval set (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Duration", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Start date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Ordered", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Follow up", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business duration (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Order received", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Discovery source", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Total Active Incidents", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It counts each distinct incident. The \"exclude\" is used to avoid filters interfering in the final result\r\n\r\n{EXCLUDE [Opened], [Overdue], [Max Year?]: \r\nCOUNTD(IF [Active]=TRUE\r\nTHEN [Number]\r\nEND)\r\n}", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + }, + { + "tag": "urn:li:tag:ATTRIBUTE" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Class", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Operational status", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Expected start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work notes list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolve time (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reopen count (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created by (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned to (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Most recent discovery", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon reject (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Knowledge (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Max Year?", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It shows TRUE/FALSE if opened date equals maximum year in the dataset\r\n\r\nDATEPART(\"year\", [Opened]) = DATEPART(\"year\", {MAX([Opened])})", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Location (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Watch list (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery task", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Fault count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Caused by Change (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updated (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "MAC Address", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Approval", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Priority (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Urgency", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Company (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Additional comments (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Business service (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Schedule", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Supported by", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Configuration item (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Task type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Support group", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation display (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Justification", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Change Request (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Updates", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Incident state (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Made SLA (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Opened Month Tooltip", + "nullable": false, + "description": "formula: // This is an IF statment using the opened field to allow for different formats\r\n// original used on columns for line charts are formatted in starting letter of month i.e. J for January\r\n// This version formats to full month name for the tooltip \r\n\r\n\r\n// The IF statement names the month based on the month number of the datefield\r\nIF DATEPART('month', [Opened]) = 1 THEN 'January'\r\nELSEIF DATEPART('month', [Opened]) = 2 THEN 'February'\r\nELSEIF DATEPART('month', [Opened]) = 3 THEN 'March'\r\nELSEIF DATEPART('month', [Opened]) = 4 THEN 'April'\r\nELSEIF DATEPART('month', [Opened]) = 5 THEN 'May'\r\nELSEIF DATEPART('month', [Opened]) = 6 THEN 'June'\r\nELSEIF DATEPART('month', [Opened]) = 7 THEN 'July'\r\nELSEIF DATEPART('month', [Opened]) = 8 THEN 'August'\r\nELSEIF DATEPART('month', [Opened]) = 9 THEN 'September'\r\nELSEIF DATEPART('month', [Opened]) = 10 THEN 'October'\r\nELSEIF DATEPART('month', [Opened]) = 11 THEN 'Novemeber'\r\nELSEIF DATEPART('month', [Opened]) = 12 THEN 'December'\r\nELSE NULL\r\nEND", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Problem (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Measure Values", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "REAL", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Group list", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Checked in", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Severity (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Number of Records", + "nullable": false, + "description": "formula: 1", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time worked (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Cost center", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work end (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Due date", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Created (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Delivery plan", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Subcategory (Configuration Item)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Sys ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments and Work notes (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Can Print", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Active", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.BooleanType": {} + } + }, + "nativeDataType": "BOOLEAN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + 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}, + { + "fieldPath": "Task type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Domain Path (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Closed", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Description (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Reassignment count", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Contact type (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assignment group (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Comments", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Work start (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Correlation ID", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "State (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NumberType": {} + } + }, + "nativeDataType": "INTEGER", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Resolved (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Assigned", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.TimeType": {} + } + }, + "nativeDataType": "DATETIME", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Time to Close an Incident", + "nullable": false, + "description": "formula: // This is a calculated field\r\n// It transforms time in seconds into DD:HH:MM:SS format\r\nSTR(INT(AVG([Time to Close an Incident (seconds)])/86400)) \r\n \r\n+ \" day(s) \" + \r\n \r\nIF (INT(AVG([Time to Close an Incident (seconds)])%86400/3600)) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%86400/3600))\r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)])%3600/60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)])%3600/60)) \r\n \r\n \r\n+ \":\" + \r\n \r\nIF INT(AVG([Time to Close an Incident (seconds)]) %3600 %60) \r\n< 10 THEN \"0\" ELSE \"\" END + STR(INT(AVG([Time to Close an Incident (seconds)]) %3600 %60))", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:MEASURE" + }, + { + "tag": "urn:li:tag:CALCULATEDFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "Upon approval (Incident)", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.StringType": {} + } + }, + "nativeDataType": "STRING", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DIMENSION" + }, + { + "tag": "urn:li:tag:COLUMNFIELD" + } + ] + }, + "isPartOfKey": false + } + ] + } + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "subTypes", + "aspect": { + "json": { + "typeNames": [ + "Embedded Data Source" + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "container", + "aspect": { + "json": { + "container": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "browsePathsV2", + "aspect": { + "json": { + "path": [ + { + "id": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b", + "urn": "urn:li:container:5ec314b9630974ec084f5dfd3849f87b" + }, + { + "id": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d", + "urn": "urn:li:container:047691e9c16bec8fb08e1df0f5d71c4d" + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD)", + "type": "TRANSFORMED" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD),Custom SQL Query)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),Custom SQL Query)" + ], + "transformOperation": "IDENTITY", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD),amount)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),amount)" + ], + "transformOperation": "IDENTITY", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD),customer_first_name)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),customer_first_name)" + ], + "transformOperation": "IDENTITY", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD),customer_id)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),customer_id)" + ], + "transformOperation": "IDENTITY", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD),customer_last_name)" + ], + 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"urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),staff_first_name)" + ], + "transformOperation": "IDENTITY", + "confidenceScore": 1.0 + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,00cce29f-b561-bb41-3557-8e19660bb5dd,PROD),staff_last_name)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD),staff_last_name)" + ], + "transformOperation": "IDENTITY", + "confidenceScore": 1.0 + } + ] + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "proposedSnapshot": { + "com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot": { + "urn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)", + "aspects": [ + { + "com.linkedin.pegasus2avro.common.DataPlatformInstance": { + "platform": "urn:li:dataPlatform:tableau" + } + }, + { + "com.linkedin.pegasus2avro.common.BrowsePaths": { + "paths": [ + "/prod/tableau/default/Workbook published ds" + ] + } + }, + { + "com.linkedin.pegasus2avro.common.Ownership": { + "owners": [ + { + "owner": "urn:li:corpuser:jawadqu@gmail.com", + "type": "DATAOWNER" + } + ], + "ownerTypes": {}, + "lastModified": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + } + } + }, + { + "com.linkedin.pegasus2avro.dataset.DatasetProperties": { + "customProperties": {}, + "name": "test publish datasource", + "tags": [] + } + }, + { + "com.linkedin.pegasus2avro.schema.SchemaMetadata": { + "schemaName": "test", + "platform": "urn:li:dataPlatform:tableau", + "version": 0, + "created": { + "time": 0, + "actor": "urn:li:corpuser:unknown" + }, + "lastModified": { + "time": 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"nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "staff_first_name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "customer_last_name", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": "UNKNOWN", + "recursive": false, + "globalTags": { + "tags": [ + { + "tag": "urn:li:tag:DATASOURCEFIELD" + } + ] + }, + "isPartOfKey": false + }, + { + "fieldPath": "amount", + "nullable": false, + "description": "", + "type": { + "type": { + "com.linkedin.pegasus2avro.schema.NullType": {} + } + }, + "nativeDataType": 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"urn:li:dataset:(urn:li:dataPlatform:tableau,4644ccb1-2adc-cf26-c654-04ed1dcc7090,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,4fb670d5-3e19-9656-e684-74aa9729cf18,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,5449c627-7462-4ef7-b492-bda46be068e3,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,618c87db-5959-338b-bcc7-6f5f4cc0b6c6,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,6cbbeeb2-9f3a-00f6-2342-17139d6e97ae,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,801c95e3-b07e-7bfe-3789-a561c7beccd3,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d00f4ba6-707e-4684-20af-69eb47587cc2,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,d8d4c0ea-3162-fa11-31e6-26675da44a38,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:tableau,dfe2c02a-54b7-f7a2-39fc-c651da2f6ad8,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.activity10,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.activity11,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.activity6,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.activity7,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:marketo-marketo,marketo.campaignstable,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.cmdb_ci,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.incident,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.problem,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_cat_item,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_req_item,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sc_request,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.sys_user_group,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:webdata-direct:servicenowitsm-servicenowitsm,ven01911.task,PROD)", + "changeType": "UPSERT", + "aspectName": "status", + "aspect": { + "json": { + "removed": false + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:ATTRIBUTE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "ATTRIBUTE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:BINFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "BINFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:CALCULATEDFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "CALCULATEDFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COLUMNFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COLUMNFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:COUNT", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "COUNT" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DATASOURCEFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DATASOURCEFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:DIMENSION", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "DIMENSION" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:GROUPFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "GROUPFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:HIERARCHYFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "HIERARCHYFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:MEASURE", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "MEASURE" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SETFIELD", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SETFIELD" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:SUM", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "SUM" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:TagSheet3", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "TagSheet3" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:YEAR", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "YEAR" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +}, +{ + "entityType": "tag", + "entityUrn": "urn:li:tag:tag on published datasource", + "changeType": "UPSERT", + "aspectName": "tagKey", + "aspect": { + "json": { + "name": "tag on published datasource" + } + }, + "systemMetadata": { + "lastObserved": 1638860400000, + "runId": "tableau-test", + "lastRunId": "no-run-id-provided", + "pipelineName": "test_tableau_group_ingest" + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py b/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py index 3798df07000c8a..edfc41616e44be 100644 --- a/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py +++ b/metadata-ingestion/tests/integration/tableau/test_tableau_ingest.py @@ -8,14 +8,16 @@ import pytest from freezegun import freeze_time from requests.adapters import ConnectionError -from tableauserverclient import Server +from tableauserverclient import PermissionsRule, Server from tableauserverclient.models import ( DatasourceItem, + GroupItem, ProjectItem, SiteItem, ViewItem, WorkbookItem, ) +from tableauserverclient.models.reference_item import ResourceReference from datahub.configuration.source_common import DEFAULT_ENV from datahub.emitter.mce_builder import make_schema_field_urn @@ -132,6 +134,43 @@ def side_effect_project_data(*arg, **kwargs): return [project1, project2, project3, project4], mock_pagination +def side_effect_group_data(*arg, **kwargs): + mock_pagination = mock.MagicMock() + mock_pagination.total_available = None + + group1: GroupItem = GroupItem( + name="AB_XY00-Tableau-Access_A_123_PROJECT_XY_Consumer" + ) + group1._id = "79d02655-88e5-45a6-9f9b-eeaf5fe54903-group1" + group2: GroupItem = GroupItem( + name="AB_XY00-Tableau-Access_A_123_PROJECT_XY_Analyst" + ) + group2._id = "79d02655-88e5-45a6-9f9b-eeaf5fe54903-group2" + + return [group1, group2], mock_pagination + + +def side_effect_workbook_permissions(*arg, **kwargs): + project_capabilities1 = {"Read": "Allow", "ViewComments": "Allow"} + reference: ResourceReference = ResourceReference( + id_="79d02655-88e5-45a6-9f9b-eeaf5fe54903-group1", tag_name="group" + ) + rule1 = PermissionsRule(grantee=reference, capabilities=project_capabilities1) + + project_capabilities2 = { + "Read": "Allow", + "ViewComments": "Allow", + "Delete": "Allow", + "Write": "Allow", + } + reference2: ResourceReference = ResourceReference( + id_="79d02655-88e5-45a6-9f9b-eeaf5fe54903-group2", tag_name="group" + ) + rule2 = PermissionsRule(grantee=reference2, capabilities=project_capabilities2) + + return [rule1, rule2] + + def side_effect_site_data(*arg, **kwargs): mock_pagination = mock.MagicMock() mock_pagination.total_available = None @@ -249,8 +288,10 @@ def mock_sdk_client( mock_client.views = mock.Mock() mock_client.projects = mock.Mock() mock_client.sites = mock.Mock() + mock_client.groups = mock.Mock() mock_client.projects.get.side_effect = side_effect_project_data + mock_client.groups.get.side_effect = side_effect_group_data mock_client.sites.get.side_effect = side_effect_site_data mock_client.sites.get_by_id.side_effect = side_effect_site_get_by_id @@ -260,6 +301,11 @@ def mock_sdk_client( mock_client.workbooks = mock.Mock() mock_client.workbooks.get.side_effect = side_effect_workbook_data + workbook_mock = mock.create_autospec(WorkbookItem, instance=True) + type(workbook_mock).permissions = mock.PropertyMock( + return_value=side_effect_workbook_permissions() + ) + mock_client.workbooks.get_by_id.return_value = workbook_mock mock_client.views.get.side_effect = side_effect_usage_stat mock_client.auth.sign_in.return_value = None @@ -1154,6 +1200,32 @@ def test_site_name_pattern(pytestconfig, tmp_path, mock_datahub_graph): ) +@freeze_time(FROZEN_TIME) +@pytest.mark.integration +def test_permission_ingestion(pytestconfig, tmp_path, mock_datahub_graph): + enable_logging() + output_file_name: str = "tableau_permission_ingestion_mces.json" + golden_file_name: str = "tableau_permission_ingestion_mces_golden.json" + + new_pipeline_config: Dict[Any, Any] = { + **config_source_default, + "permission_ingestion": { + "enable_workbooks": True, + "group_name_pattern": {"allow": ["^.*_Consumer$"]}, + }, + } + tableau_ingest_common( + pytestconfig, + tmp_path, + mock_data(), + golden_file_name, + output_file_name, + mock_datahub_graph, + pipeline_config=new_pipeline_config, + pipeline_name="test_tableau_group_ingest", + ) + + @freeze_time(FROZEN_TIME) @pytest.mark.integration def test_permission_mode_switched_error(pytestconfig, tmp_path, mock_datahub_graph): diff --git a/metadata-ingestion/tests/unit/glue/test_glue_source.py b/metadata-ingestion/tests/unit/glue/test_glue_source.py index 57f48db1129c42..4df0c6d17b06cc 100644 --- a/metadata-ingestion/tests/unit/glue/test_glue_source.py +++ b/metadata-ingestion/tests/unit/glue/test_glue_source.py @@ -267,8 +267,8 @@ def test_platform_config(): @pytest.mark.parametrize( "ignore_resource_links, all_databases_and_tables_result", [ - (True, ({}, [])), - (False, ({"test-database": resource_link_database}, target_database_tables)), + (True, ([], [])), + (False, ([resource_link_database], target_database_tables)), ], ) def test_ignore_resource_links(ignore_resource_links, all_databases_and_tables_result): @@ -289,7 +289,7 @@ def test_ignore_resource_links(ignore_resource_links, all_databases_and_tables_r glue_stubber.add_response( "get_tables", get_tables_response_for_target_database, - {"DatabaseName": "test-database"}, + {"DatabaseName": "resource-link-test-database"}, ) assert source.get_all_databases_and_tables() == all_databases_and_tables_result diff --git a/metadata-ingestion/tests/unit/glue/test_glue_source_stubs.py b/metadata-ingestion/tests/unit/glue/test_glue_source_stubs.py index 46ab65234c22df..dba1eea3010c2f 100644 --- a/metadata-ingestion/tests/unit/glue/test_glue_source_stubs.py +++ b/metadata-ingestion/tests/unit/glue/test_glue_source_stubs.py @@ -5,7 +5,7 @@ from botocore.response import StreamingBody resource_link_database = { - "Name": "test-database", + "Name": "resource-link-test-database", "CreateTime": datetime.datetime(2021, 6, 9, 14, 14, 19), "CreateTableDefaultPermissions": [], "TargetDatabase": {"CatalogId": "432143214321", "DatabaseName": "test-database"}, @@ -92,10 +92,8 @@ }, ] } -databases_1 = { - "flights-database": {"Name": "flights-database", "CatalogId": "123412341234"} -} -databases_2 = {"test-database": {"Name": "test-database", "CatalogId": "123412341234"}} +databases_1 = [{"Name": "flights-database", "CatalogId": "123412341234"}] +databases_2 = [{"Name": "test-database", "CatalogId": "123412341234"}] tables_1 = [ { "Name": "avro", diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json index a9b5a3a7cbefac..83d81037a2136c 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_multistep_temp_table.json @@ -18,7 +18,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream1,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45" + "query": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a" }, { "auditStamp": { @@ -31,7 +31,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.upstream2,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45" + "query": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a" } ], "fineGrainedLineages": [ @@ -45,7 +45,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.prod_foo,PROD),a)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45" + "query": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a" }, { "upstreamType": "FIELD_SET", @@ -57,7 +57,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.prod_foo,PROD),b)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45" + "query": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a" }, { "upstreamType": "FIELD_SET", @@ -69,7 +69,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.prod_foo,PROD),c)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45" + "query": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a" } ] } @@ -77,7 +77,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45", + "entityUrn": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a", "changeType": "UPSERT", "aspectName": "queryProperties", "aspect": { @@ -100,7 +100,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45", + "entityUrn": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a", "changeType": "UPSERT", "aspectName": "querySubjects", "aspect": { @@ -130,7 +130,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45", + "entityUrn": "urn:li:query:composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a", "changeType": "UPSERT", "aspectName": "dataPlatformInstance", "aspect": { diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json index 48aecb90151804..ed8009477bf4db 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_overlapping_inserts_from_temp_tables.json @@ -18,7 +18,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.customer,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17" + "query": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8" }, { "auditStamp": { @@ -31,7 +31,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.online_returns,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17" + "query": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8" }, { "auditStamp": { @@ -44,7 +44,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.online_survey,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17" + "query": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8" }, { "auditStamp": { @@ -57,7 +57,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.in_person_returns,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_638945c382e30206a8f8a57894d375e5f6f2a3562fe68480badf37e38e836d75" + "query": "urn:li:query:composite_6b5a11e96e3d2b742e4e4ec3310bb538d0f5c0c6496b84e4bfe0e8014d5f5b45" } ], "fineGrainedLineages": [ @@ -71,7 +71,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),customer_id)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_638945c382e30206a8f8a57894d375e5f6f2a3562fe68480badf37e38e836d75" + "query": "urn:li:query:composite_6b5a11e96e3d2b742e4e4ec3310bb538d0f5c0c6496b84e4bfe0e8014d5f5b45" }, { "upstreamType": "FIELD_SET", @@ -83,7 +83,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),customer_id)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17" + "query": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8" }, { "upstreamType": "FIELD_SET", @@ -95,7 +95,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),customer_email)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17" + "query": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8" }, { "upstreamType": "FIELD_SET", @@ -107,7 +107,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),return_date)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_638945c382e30206a8f8a57894d375e5f6f2a3562fe68480badf37e38e836d75" + "query": "urn:li:query:composite_6b5a11e96e3d2b742e4e4ec3310bb538d0f5c0c6496b84e4bfe0e8014d5f5b45" }, { "upstreamType": "FIELD_SET", @@ -119,7 +119,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),return_date)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17" + "query": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8" }, { "upstreamType": "FIELD_SET", @@ -131,7 +131,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.all_returns,PROD),return_reason)" ], "confidenceScore": 0.2, - "query": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17" + "query": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8" } ] } @@ -139,7 +139,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17", + "entityUrn": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8", "changeType": "UPSERT", "aspectName": "queryProperties", "aspect": { @@ -162,7 +162,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17", + "entityUrn": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8", "changeType": "UPSERT", "aspectName": "querySubjects", "aspect": { @@ -198,7 +198,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_ad747ecae933492280d24dfa7f3a4ae3a3c67457e145803d05f7d8bd7efa7d17", + "entityUrn": "urn:li:query:composite_adc1c41c0ad37c643776d9d93d524e6c435a7e70633da1ce7e3222dda4bb9fb8", "changeType": "UPSERT", "aspectName": "dataPlatformInstance", "aspect": { @@ -209,7 +209,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_638945c382e30206a8f8a57894d375e5f6f2a3562fe68480badf37e38e836d75", + "entityUrn": "urn:li:query:composite_6b5a11e96e3d2b742e4e4ec3310bb538d0f5c0c6496b84e4bfe0e8014d5f5b45", "changeType": "UPSERT", "aspectName": "queryProperties", "aspect": { @@ -232,7 +232,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_638945c382e30206a8f8a57894d375e5f6f2a3562fe68480badf37e38e836d75", + "entityUrn": "urn:li:query:composite_6b5a11e96e3d2b742e4e4ec3310bb538d0f5c0c6496b84e4bfe0e8014d5f5b45", "changeType": "UPSERT", "aspectName": "querySubjects", "aspect": { @@ -262,7 +262,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_638945c382e30206a8f8a57894d375e5f6f2a3562fe68480badf37e38e836d75", + "entityUrn": "urn:li:query:composite_6b5a11e96e3d2b742e4e4ec3310bb538d0f5c0c6496b84e4bfe0e8014d5f5b45", "changeType": "UPSERT", "aspectName": "dataPlatformInstance", "aspect": { diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_lineage_via_temp_table_disordered_add.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_lineage_via_temp_table_disordered_add.json index 51a732e7a24940..915718525dbc7f 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_lineage_via_temp_table_disordered_add.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_lineage_via_temp_table_disordered_add.json @@ -18,7 +18,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_39f4adf89c8ad4d6d307b628c82d8260e1c5cd7eb6fb3a8cbb437421f970c16f" + "query": "urn:li:query:composite_cb80bd1f17cc5d3d956e03a82d4266ec0dc698ca4333547281fb93bf67d832ec" } ] } @@ -26,7 +26,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_39f4adf89c8ad4d6d307b628c82d8260e1c5cd7eb6fb3a8cbb437421f970c16f", + "entityUrn": "urn:li:query:composite_cb80bd1f17cc5d3d956e03a82d4266ec0dc698ca4333547281fb93bf67d832ec", "changeType": "UPSERT", "aspectName": "queryProperties", "aspect": { @@ -49,7 +49,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_39f4adf89c8ad4d6d307b628c82d8260e1c5cd7eb6fb3a8cbb437421f970c16f", + "entityUrn": "urn:li:query:composite_cb80bd1f17cc5d3d956e03a82d4266ec0dc698ca4333547281fb93bf67d832ec", "changeType": "UPSERT", "aspectName": "querySubjects", "aspect": { @@ -67,7 +67,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_39f4adf89c8ad4d6d307b628c82d8260e1c5cd7eb6fb3a8cbb437421f970c16f", + "entityUrn": "urn:li:query:composite_cb80bd1f17cc5d3d956e03a82d4266ec0dc698ca4333547281fb93bf67d832ec", "changeType": "UPSERT", "aspectName": "dataPlatformInstance", "aspect": { diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json index 9a4d405e50a7a4..f6d781b356ee96 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename.json @@ -131,35 +131,97 @@ "time": 0, "actor": "urn:li:corpuser:_ingestion" }, - "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD)", + "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:234a2904c367a6cc02d76cf358cd86937ec9e14af03e5539b5edb0b6df5db3dc" + "query": "urn:li:query:a30d42497a737321ece461fa17344c3ba3588fdee736016acb59a00cec955a0c" } ], "fineGrainedLineages": [ { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),a)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),a)" ], "downstreamType": "FIELD", "downstreams": [ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" ], - "confidenceScore": 0.2, - "query": "urn:li:query:234a2904c367a6cc02d76cf358cd86937ec9e14af03e5539b5edb0b6df5db3dc" + "confidenceScore": 1.0, + "query": "urn:li:query:a30d42497a737321ece461fa17344c3ba3588fdee736016acb59a00cec955a0c" }, { "upstreamType": "FIELD_SET", "upstreams": [ - "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),b)" + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),b)" ], "downstreamType": "FIELD", "downstreams": [ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" ], - "confidenceScore": 0.2, - "query": "urn:li:query:234a2904c367a6cc02d76cf358cd86937ec9e14af03e5539b5edb0b6df5db3dc" + "confidenceScore": 1.0, + "query": "urn:li:query:a30d42497a737321ece461fa17344c3ba3588fdee736016acb59a00cec955a0c" + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),c)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),c)" + ], + "confidenceScore": 1.0, + "query": "urn:li:query:a30d42497a737321ece461fa17344c3ba3588fdee736016acb59a00cec955a0c" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:a30d42497a737321ece461fa17344c3ba3588fdee736016acb59a00cec955a0c", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "ALTER TABLE dev.public.foo_staging RENAME TO foo", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:a30d42497a737321ece461fa17344c3ba3588fdee736016acb59a00cec955a0c", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),c)" } ] } @@ -200,24 +262,35 @@ "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD)" }, { - "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),a)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),b)" }, { - "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),b)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),a)" }, { - "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)" + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD)" }, { - "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),a)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),a)" }, { - "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD),b)" + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),b)" } ] } } }, +{ + "entityType": "query", + "entityUrn": "urn:li:query:a30d42497a737321ece461fa17344c3ba3588fdee736016acb59a00cec955a0c", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:redshift" + } + } +}, { "entityType": "query", "entityUrn": "urn:li:query:234a2904c367a6cc02d76cf358cd86937ec9e14af03e5539b5edb0b6df5db3dc", @@ -228,5 +301,171 @@ "platform": "urn:li:dataPlatform:redshift" } } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_downstream,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:e4b3b60ab99e0f0bc1629ea82a5d7705a30dbd98a3923d599b39fb68624ea58d" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),a)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_downstream,PROD),a)" + ], + "confidenceScore": 0.2, + "query": "urn:li:query:e4b3b60ab99e0f0bc1629ea82a5d7705a30dbd98a3923d599b39fb68624ea58d" + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),b)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_downstream,PROD),b)" + ], + "confidenceScore": 0.2, + "query": "urn:li:query:e4b3b60ab99e0f0bc1629ea82a5d7705a30dbd98a3923d599b39fb68624ea58d" + } + ] + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:234a2904c367a6cc02d76cf358cd86937ec9e14af03e5539b5edb0b6df5db3dc" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),a)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),a)" + ], + "confidenceScore": 0.2, + "query": "urn:li:query:234a2904c367a6cc02d76cf358cd86937ec9e14af03e5539b5edb0b6df5db3dc" + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),b)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),b)" + ], + "confidenceScore": 0.2, + "query": "urn:li:query:234a2904c367a6cc02d76cf358cd86937ec9e14af03e5539b5edb0b6df5db3dc" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:e4b3b60ab99e0f0bc1629ea82a5d7705a30dbd98a3923d599b39fb68624ea58d", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "CREATE TABLE foo_downstream AS\nSELECT\n a,\n b\nFROM foo_staging", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:e4b3b60ab99e0f0bc1629ea82a5d7705a30dbd98a3923d599b39fb68624ea58d", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:redshift" + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:e4b3b60ab99e0f0bc1629ea82a5d7705a30dbd98a3923d599b39fb68624ea58d", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),b)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_staging,PROD),a)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_downstream,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_downstream,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_downstream,PROD),b)" + } + ] + } + } } ] \ No newline at end of file diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename_with_temp.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename_with_temp.json new file mode 100644 index 00000000000000..abae5da02135d7 --- /dev/null +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_rename_with_temp.json @@ -0,0 +1,338 @@ +[ +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:e2629e6fd3a70a223cb3e2c9e5bd3416763782de3ec32124bc56cb835b60978a" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD),a)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + ], + "confidenceScore": 0.2, + "query": "urn:li:query:e2629e6fd3a70a223cb3e2c9e5bd3416763782de3ec32124bc56cb835b60978a" + }, + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD),b)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" + ], + "confidenceScore": 0.2, + "query": "urn:li:query:e2629e6fd3a70a223cb3e2c9e5bd3416763782de3ec32124bc56cb835b60978a" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:e2629e6fd3a70a223cb3e2c9e5bd3416763782de3ec32124bc56cb835b60978a", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "CREATE TABLE bar AS\nSELECT\n a,\n b\nFROM baz", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:e2629e6fd3a70a223cb3e2c9e5bd3416763782de3ec32124bc56cb835b60978a", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD),b)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.baz,PROD),a)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD),b)" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:e2629e6fd3a70a223cb3e2c9e5bd3416763782de3ec32124bc56cb835b60978a", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:redshift" + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": 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"query": "urn:li:query:composite_2efc2a13ee673ccf7b195f8f2c0e4ba0570194d8200c3c20b1eb7e8ca4fb4332" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_2efc2a13ee673ccf7b195f8f2c0e4ba0570194d8200c3c20b1eb7e8ca4fb4332", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "CREATE TABLE foo_staging AS\nSELECT\n a,\n b\nFROM foo_dep;\n\nALTER TABLE dev.public.foo_staging RENAME TO foo", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_2efc2a13ee673ccf7b195f8f2c0e4ba0570194d8200c3c20b1eb7e8ca4fb4332", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": 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"urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_dep,PROD),b)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_downstream,PROD),b)" + ], + "confidenceScore": 0.2, + "query": "urn:li:query:composite_6c7b9cb477493c36e47135e9a699745ae77ef64de3a811aefb7a44c8c04de703" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_6c7b9cb477493c36e47135e9a699745ae77ef64de3a811aefb7a44c8c04de703", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "CREATE TABLE foo_staging AS\nSELECT\n a,\n b\nFROM foo_dep;\n\nCREATE TABLE foo_downstream AS\nSELECT\n a,\n b\nFROM foo_staging", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + 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"urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_dep,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:composite_5f9c1232994672c5fb7621f8384f6600b6d4ed5acfccc4eb396fb446b3fb1bce" + } + ], + "fineGrainedLineages": [ + { + "upstreamType": "FIELD_SET", + "upstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD),a)", + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_dep,PROD),a)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD),a)" + ], + "confidenceScore": 1.0, + "query": "urn:li:query:composite_5f9c1232994672c5fb7621f8384f6600b6d4ed5acfccc4eb396fb446b3fb1bce" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_5f9c1232994672c5fb7621f8384f6600b6d4ed5acfccc4eb396fb446b3fb1bce", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "CREATE TABLE person_info_swap CLONE person_info;\n\nCREATE TABLE person_info_incremental AS\nSELECT\n *\nFROM person_info_dep;\n\nINSERT INTO person_info_swap\nSELECT\n *\nFROM person_info_incremental;\n\nALTER TABLE dev.public.person_info_swap SWAP WITH dev.public.person_info", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 40000, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 40000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_5f9c1232994672c5fb7621f8384f6600b6d4ed5acfccc4eb396fb446b3fb1bce", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_dep,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD),a)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD),b)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD),c)" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_5f9c1232994672c5fb7621f8384f6600b6d4ed5acfccc4eb396fb446b3fb1bce", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake" + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_backup,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + 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"urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_dep,PROD),a)" + ], + "downstreamType": "FIELD", + "downstreams": [ + "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_backup,PROD),a)" + ], + "confidenceScore": 1.0, + "query": "urn:li:query:composite_49daa72ac1d22734879a6bed1224daa7f8c1293750d6d7b8a24a0aa0e9f74d80" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_49daa72ac1d22734879a6bed1224daa7f8c1293750d6d7b8a24a0aa0e9f74d80", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "CREATE TABLE person_info_swap CLONE person_info;\n\nCREATE TABLE person_info_incremental AS\nSELECT\n *\nFROM person_info_dep;\n\nINSERT INTO person_info_swap\nSELECT\n *\nFROM person_info_incremental;\n\nCREATE TABLE person_info_backup AS\nSELECT\n *\nFROM person_info_swap", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 50000, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 50000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_49daa72ac1d22734879a6bed1224daa7f8c1293750d6d7b8a24a0aa0e9f74d80", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_dep,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_backup,PROD)" + }, + { + "entity": "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_backup,PROD),a)" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_49daa72ac1d22734879a6bed1224daa7f8c1293750d6d7b8a24a0aa0e9f74d80", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake" + } + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_swap_with_temp_with_preparsed.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_swap_with_temp_with_preparsed.json new file mode 100644 index 00000000000000..24ed6a3b54d8c1 --- /dev/null +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_table_swap_with_temp_with_preparsed.json @@ -0,0 +1,298 @@ +[ +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_swap,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:3865108263e5f0670e6506f5747392f8315a72039cbfde1c4be4dd9a71bdd500" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:3865108263e5f0670e6506f5747392f8315a72039cbfde1c4be4dd9a71bdd500", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "ALTER TABLE dev.public.person_info_swap SWAP WITH dev.public.person_info", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:3865108263e5f0670e6506f5747392f8315a72039cbfde1c4be4dd9a71bdd500", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_swap,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD)" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:3865108263e5f0670e6506f5747392f8315a72039cbfde1c4be4dd9a71bdd500", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake" + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_backup,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_swap,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:6f71602f39d01a39b3f8bd411c74c5ac08dc4b90bc3d49b257089acb19fa8559" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:6f71602f39d01a39b3f8bd411c74c5ac08dc4b90bc3d49b257089acb19fa8559", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "CREATE TABLE person_info_backup AS\nSELECT\n *\nFROM person_info_swap", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:6f71602f39d01a39b3f8bd411c74c5ac08dc4b90bc3d49b257089acb19fa8559", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_swap,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_backup,PROD)" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:6f71602f39d01a39b3f8bd411c74c5ac08dc4b90bc3d49b257089acb19fa8559", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake" + } + } +}, +{ + "entityType": "dataset", + "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_swap,PROD)", + "changeType": "UPSERT", + "aspectName": "upstreamLineage", + "aspect": { + "json": { + "upstreams": [ + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:d29a1c8ed6d4d77efb290260234e5eee56f98311a5631d0a12213798077d1a68" + }, + { + "auditStamp": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + }, + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "dataset": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_incremental,PROD)", + "type": "TRANSFORMED", + "query": "urn:li:query:481d0392ffeffdafd198d94e0a9f778dd722b60daa47083a32800b99ea21f86f" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:d29a1c8ed6d4d77efb290260234e5eee56f98311a5631d0a12213798077d1a68", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "ALTER TABLE dev.public.person_info SWAP WITH dev.public.person_info_swap", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:d29a1c8ed6d4d77efb290260234e5eee56f98311a5631d0a12213798077d1a68", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_swap,PROD)" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:d29a1c8ed6d4d77efb290260234e5eee56f98311a5631d0a12213798077d1a68", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake" + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:481d0392ffeffdafd198d94e0a9f778dd722b60daa47083a32800b99ea21f86f", + "changeType": "UPSERT", + "aspectName": "queryProperties", + "aspect": { + "json": { + "statement": { + "value": "INSERT INTO person_info_swap\nSELECT\n *\nFROM person_info_incremental", + "language": "SQL" + }, + "source": "SYSTEM", + "created": { + "time": 0, + "actor": "urn:li:corpuser:_ingestion" + }, + "lastModified": { + "time": 1707182625000, + "actor": "urn:li:corpuser:_ingestion" + } + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:481d0392ffeffdafd198d94e0a9f778dd722b60daa47083a32800b99ea21f86f", + "changeType": "UPSERT", + "aspectName": "querySubjects", + "aspect": { + "json": { + "subjects": [ + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_incremental,PROD)" + }, + { + "entity": "urn:li:dataset:(urn:li:dataPlatform:snowflake,dev.public.person_info_swap,PROD)" + } + ] + } + } +}, +{ + "entityType": "query", + "entityUrn": "urn:li:query:481d0392ffeffdafd198d94e0a9f778dd722b60daa47083a32800b99ea21f86f", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:snowflake" + } + } +} +] \ No newline at end of file diff --git a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json index 743e2738fc70c6..b348785d064314 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json +++ b/metadata-ingestion/tests/unit/sql_parsing/aggregator_goldens/test_temp_table.json @@ -133,7 +133,7 @@ }, "dataset": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.bar,PROD)", "type": "TRANSFORMED", - "query": "urn:li:query:composite_66ddf44283e4543440529f1d13b82221b5d60635b6a8c39751718049ce4f47ec" + "query": "urn:li:query:composite_02ccf36422adc3d46b0707071c53ccc867a16444b62ff128f890266ff5399817" } ], "fineGrainedLineages": [ @@ -147,7 +147,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_session2,PROD),a)" ], "confidenceScore": 0.35, - "query": "urn:li:query:composite_66ddf44283e4543440529f1d13b82221b5d60635b6a8c39751718049ce4f47ec" + "query": "urn:li:query:composite_02ccf36422adc3d46b0707071c53ccc867a16444b62ff128f890266ff5399817" }, { "upstreamType": "FIELD_SET", @@ -160,7 +160,7 @@ "urn:li:schemaField:(urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_session2,PROD),c)" ], "confidenceScore": 0.35, - "query": "urn:li:query:composite_66ddf44283e4543440529f1d13b82221b5d60635b6a8c39751718049ce4f47ec" + "query": "urn:li:query:composite_02ccf36422adc3d46b0707071c53ccc867a16444b62ff128f890266ff5399817" } ] } @@ -168,7 +168,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_66ddf44283e4543440529f1d13b82221b5d60635b6a8c39751718049ce4f47ec", + "entityUrn": "urn:li:query:composite_02ccf36422adc3d46b0707071c53ccc867a16444b62ff128f890266ff5399817", "changeType": "UPSERT", "aspectName": "queryProperties", "aspect": { @@ -191,7 +191,7 @@ }, { "entityType": "query", - "entityUrn": "urn:li:query:composite_66ddf44283e4543440529f1d13b82221b5d60635b6a8c39751718049ce4f47ec", + "entityUrn": "urn:li:query:composite_02ccf36422adc3d46b0707071c53ccc867a16444b62ff128f890266ff5399817", "changeType": "UPSERT", "aspectName": "querySubjects", "aspect": { @@ -213,6 +213,17 @@ } } }, +{ + "entityType": "query", + "entityUrn": "urn:li:query:composite_02ccf36422adc3d46b0707071c53ccc867a16444b62ff128f890266ff5399817", + "changeType": "UPSERT", + "aspectName": "dataPlatformInstance", + "aspect": { + "json": { + "platform": "urn:li:dataPlatform:redshift" + } + } +}, { "entityType": "dataset", "entityUrn": "urn:li:dataset:(urn:li:dataPlatform:redshift,dev.public.foo_session3,PROD)", @@ -238,17 +249,6 @@ } } }, -{ - "entityType": "query", - "entityUrn": "urn:li:query:composite_66ddf44283e4543440529f1d13b82221b5d60635b6a8c39751718049ce4f47ec", - "changeType": "UPSERT", - "aspectName": "dataPlatformInstance", - "aspect": { - "json": { - "platform": "urn:li:dataPlatform:redshift" - } - } -}, { "entityType": "query", "entityUrn": "urn:li:query:3e85e6f353c7fa33d6514cb090482852064d23df6491c9a8ae28be0d990a3c71", diff --git a/metadata-ingestion/tests/unit/sql_parsing/test_sql_aggregator.py b/metadata-ingestion/tests/unit/sql_parsing/test_sql_aggregator.py index 849d550ef69c57..eb64efd6693def 100644 --- a/metadata-ingestion/tests/unit/sql_parsing/test_sql_aggregator.py +++ b/metadata-ingestion/tests/unit/sql_parsing/test_sql_aggregator.py @@ -13,8 +13,11 @@ from datahub.sql_parsing.sql_parsing_aggregator import ( KnownQueryLineageInfo, ObservedQuery, + PreparsedQuery, QueryLogSetting, SqlParsingAggregator, + TableRename, + TableSwap, ) from datahub.sql_parsing.sql_parsing_common import QueryType from datahub.sql_parsing.sqlglot_lineage import ( @@ -221,12 +224,11 @@ def test_multistep_temp_table(pytestconfig: pytest.Config) -> None: assert ( len( report.queries_with_temp_upstreams[ - "composite_c89ee7c127c64a5d3a42ee875305087991891c80f42a25012910524bd2c77c45" + "composite_48c238412066895ccad5d27f9425ce969b2c0633203627eb476d0c9e5357825a" ] ) == 4 ) - mce_helpers.check_goldens_stream( pytestconfig, outputs=mcps, @@ -520,10 +522,17 @@ def test_table_rename(pytestconfig: pytest.Config) -> None: generate_operations=False, ) + aggregator._schema_resolver.add_raw_schema_info( + DatasetUrn("redshift", "dev.public.foo").urn(), + {"a": "int", "b": "int", "c": "int"}, + ) + # Register that foo_staging is renamed to foo. aggregator.add_table_rename( - original_urn=DatasetUrn("redshift", "dev.public.foo_staging").urn(), - new_urn=DatasetUrn("redshift", "dev.public.foo").urn(), + TableRename( + original_urn=DatasetUrn("redshift", "dev.public.foo_staging").urn(), + new_urn=DatasetUrn("redshift", "dev.public.foo").urn(), + ) ) # Add an unrelated query. @@ -544,6 +553,15 @@ def test_table_rename(pytestconfig: pytest.Config) -> None: ) ) + # Add the query that created the downstream from foo_staging table. + aggregator.add_observed_query( + ObservedQuery( + query="create table foo_downstream as select a, b from foo_staging", + default_db="dev", + default_schema="public", + ) + ) + mcps = list(aggregator.gen_metadata()) mce_helpers.check_goldens_stream( @@ -553,6 +571,323 @@ def test_table_rename(pytestconfig: pytest.Config) -> None: ) +@freeze_time(FROZEN_TIME) +def test_table_rename_with_temp(pytestconfig: pytest.Config) -> None: + aggregator = SqlParsingAggregator( + platform="redshift", + generate_lineage=True, + generate_usage_statistics=False, + generate_operations=False, + is_temp_table=lambda x: "staging" in x.lower(), + ) + + aggregator._schema_resolver.add_raw_schema_info( + DatasetUrn("redshift", "dev.public.foo").urn(), + {"a": "int", "b": "int", "c": "int"}, + ) + + # Register that foo_staging is renamed to foo. + aggregator.add_table_rename( + TableRename( + original_urn=DatasetUrn("redshift", "dev.public.foo_staging").urn(), + new_urn=DatasetUrn("redshift", "dev.public.foo").urn(), + query="alter table dev.public.foo_staging rename to dev.public.foo", + ) + ) + + # Add an unrelated query. + aggregator.add_observed_query( + ObservedQuery( + query="create table bar as select a, b from baz", + default_db="dev", + default_schema="public", + ) + ) + + # Add the query that created the staging table. + aggregator.add_observed_query( + ObservedQuery( + query="create table foo_staging as select a, b from foo_dep", + default_db="dev", + default_schema="public", + ) + ) + + # Add the query that created the downstream from foo_staging table. + aggregator.add_observed_query( + ObservedQuery( + query="create table foo_downstream as select a, b from foo_staging", + default_db="dev", + default_schema="public", + ) + ) + + mcps = list(aggregator.gen_metadata()) + + mce_helpers.check_goldens_stream( + pytestconfig, + outputs=mcps, + golden_path=RESOURCE_DIR / "test_table_rename_with_temp.json", + ) + + +@freeze_time(FROZEN_TIME) +def test_table_swap(pytestconfig: pytest.Config) -> None: + aggregator = SqlParsingAggregator( + platform="snowflake", + generate_lineage=True, + generate_usage_statistics=False, + generate_operations=False, + ) + + aggregator._schema_resolver.add_raw_schema_info( + DatasetUrn("snowflake", "dev.public.person_info").urn(), + {"a": "int", "b": "int", "c": "int"}, + ) + + # Add an unrelated query. + aggregator.add_observed_query( + ObservedQuery( + query="create table bar as select a, b from baz", + default_db="dev", + default_schema="public", + ) + ) + + # Add the query that created the swap table initially. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="CREATE TABLE person_info_swap CLONE person_info;", + upstreams=[DatasetUrn("snowflake", "dev.public.person_info").urn()], + downstream=DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + ) + ) + + # Add the query that created the incremental table. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="CREATE TABLE person_info_incremental AS SELECT * from person_info_dep;", + upstreams=[ + DatasetUrn("snowflake", "dev.public.person_info_dep").urn(), + ], + downstream=DatasetUrn( + "snowflake", "dev.public.person_info_incremental" + ).urn(), + ) + ) + + # Add the query that updated the swap table. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="INSERT INTO person_info_swap SELECT * from person_info_incremental;", + upstreams=[ + DatasetUrn("snowflake", "dev.public.person_info_incremental").urn(), + ], + downstream=DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + ) + ) + + aggregator.add_table_swap( + TableSwap( + urn1=DatasetUrn("snowflake", "dev.public.person_info").urn(), + urn2=DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + ) + ) + + # Add the query that is created from swap table. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="create table person_info_backup as select * from person_info_swap", + upstreams=[ + DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + ], + downstream=DatasetUrn("snowflake", "dev.public.person_info_backup").urn(), + ) + ) + + mcps = list(aggregator.gen_metadata()) + + mce_helpers.check_goldens_stream( + pytestconfig, + outputs=mcps, + golden_path=RESOURCE_DIR / "test_table_swap.json", + ) + + +@freeze_time(FROZEN_TIME) +def test_table_swap_with_temp(pytestconfig: pytest.Config) -> None: + aggregator = SqlParsingAggregator( + platform="snowflake", + generate_lineage=True, + generate_usage_statistics=False, + generate_operations=False, + is_temp_table=lambda x: "swap" in x.lower() or "incremental" in x.lower(), + ) + + aggregator._schema_resolver.add_raw_schema_info( + DatasetUrn("snowflake", "dev.public.person_info").urn(), + {"a": "int", "b": "int", "c": "int"}, + ) + + # Add an unrelated query. + aggregator.add_observed_query( + ObservedQuery( + query="create table bar as select a, b from baz", + default_db="dev", + default_schema="public", + ) + ) + + # Add the query that created the swap table initially. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="CREATE TABLE person_info_swap CLONE person_info;", + upstreams=[DatasetUrn("snowflake", "dev.public.person_info").urn()], + downstream=DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + session_id="xxx", + timestamp=_ts(10), + column_lineage=[ + ColumnLineageInfo( + downstream=DownstreamColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info_swap" + ).urn(), + column="a", + ), + upstreams=[ + ColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info" + ).urn(), + column="a", + ) + ], + ) + ], + ) + ) + + # Add the query that created the incremental table. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="CREATE TABLE person_info_incremental AS SELECT * from person_info_dep;", + upstreams=[ + DatasetUrn("snowflake", "dev.public.person_info_dep").urn(), + ], + downstream=DatasetUrn( + "snowflake", "dev.public.person_info_incremental" + ).urn(), + session_id="xxx", + timestamp=_ts(20), + column_lineage=[ + ColumnLineageInfo( + downstream=DownstreamColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info_incremental" + ).urn(), + column="a", + ), + upstreams=[ + ColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info_dep" + ).urn(), + column="a", + ) + ], + ) + ], + ) + ) + + # Add the query that updated the swap table. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="INSERT INTO person_info_swap SELECT * from person_info_incremental;", + upstreams=[ + DatasetUrn("snowflake", "dev.public.person_info_incremental").urn(), + ], + downstream=DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + session_id="xxx", + timestamp=_ts(30), + column_lineage=[ + ColumnLineageInfo( + downstream=DownstreamColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info_swap" + ).urn(), + column="a", + ), + upstreams=[ + ColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info_incremental" + ).urn(), + column="a", + ) + ], + ) + ], + ) + ) + + aggregator.add_table_swap( + TableSwap( + urn1=DatasetUrn("snowflake", "dev.public.person_info").urn(), + urn2=DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + session_id="xxx", + timestamp=_ts(40), + ) + ) + + # Add the query that is created from swap table. + aggregator.add_preparsed_query( + PreparsedQuery( + query_id=None, + query_text="create table person_info_backup as select * from person_info_swap", + upstreams=[ + DatasetUrn("snowflake", "dev.public.person_info_swap").urn(), + ], + downstream=DatasetUrn("snowflake", "dev.public.person_info_backup").urn(), + session_id="xxx", + timestamp=_ts(50), + column_lineage=[ + ColumnLineageInfo( + downstream=DownstreamColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info_backup" + ).urn(), + column="a", + ), + upstreams=[ + ColumnRef( + table=DatasetUrn( + "snowflake", "dev.public.person_info_swap" + ).urn(), + column="a", + ) + ], + ) + ], + ) + ) + + mcps = list(aggregator.gen_metadata()) + + mce_helpers.check_goldens_stream( + pytestconfig, + outputs=mcps, + golden_path=RESOURCE_DIR / "test_table_swap_with_temp.json", + ) + + @freeze_time(FROZEN_TIME) def test_create_table_query_mcps(pytestconfig: pytest.Config) -> None: aggregator = SqlParsingAggregator( @@ -665,6 +1000,19 @@ def test_basic_usage(pytestconfig: pytest.Config) -> None: ) +def test_table_swap_id() -> None: + assert ( + TableSwap( + urn1=DatasetUrn("snowflake", "dev.public.foo").urn(), + urn2=DatasetUrn("snowflake", "dev.public.foo_staging").urn(), + ).id() + == TableSwap( + urn1=DatasetUrn("snowflake", "dev.public.foo_staging").urn(), + urn2=DatasetUrn("snowflake", "dev.public.foo").urn(), + ).id() + ) + + def test_sql_aggreator_close_cleans_tmp(tmp_path): frozen_timestamp = parse_user_datetime(FROZEN_TIME) with patch("tempfile.tempdir", str(tmp_path)): diff --git a/metadata-ingestion/tests/unit/sql_parsing/test_sqlglot_patch.py b/metadata-ingestion/tests/unit/sql_parsing/test_sqlglot_patch.py new file mode 100644 index 00000000000000..dee6d9630c12eb --- /dev/null +++ b/metadata-ingestion/tests/unit/sql_parsing/test_sqlglot_patch.py @@ -0,0 +1,48 @@ +from datahub.sql_parsing._sqlglot_patch import SQLGLOT_PATCHED + +import time + +import pytest +import sqlglot +import sqlglot.errors +import sqlglot.lineage +import sqlglot.optimizer + +from datahub.utilities.cooperative_timeout import ( + CooperativeTimeoutError, + cooperative_timeout, +) +from datahub.utilities.perf_timer import PerfTimer + +assert SQLGLOT_PATCHED + + +def test_cooperative_timeout_sql() -> None: + statement = sqlglot.parse_one("SELECT pg_sleep(3)", dialect="postgres") + with pytest.raises( + CooperativeTimeoutError + ), PerfTimer() as timer, cooperative_timeout(timeout=0.6): + while True: + # sql() implicitly calls copy(), which is where we check for the timeout. + assert statement.sql() is not None + time.sleep(0.0001) + assert 0.6 <= timer.elapsed_seconds() <= 1.0 + + +def test_scope_circular_dependency() -> None: + scope = sqlglot.optimizer.build_scope( + sqlglot.parse_one("WITH w AS (SELECT * FROM q) SELECT * FROM w") + ) + assert scope is not None + + cte_scope = scope.cte_scopes[0] + cte_scope.cte_scopes.append(cte_scope) + + with pytest.raises(sqlglot.errors.OptimizeError, match="circular scope dependency"): + list(scope.traverse()) + + +def test_lineage_node_subfield() -> None: + expression = sqlglot.parse_one("SELECT 1 AS test") + node = sqlglot.lineage.Node("test", expression, expression, subfield="subfield") # type: ignore + assert node.subfield == "subfield" # type: ignore diff --git a/metadata-ingestion/tests/unit/test_oracle_source.py b/metadata-ingestion/tests/unit/test_oracle_source.py index 18d4e85296e362..ce7952cf73a8ab 100644 --- a/metadata-ingestion/tests/unit/test_oracle_source.py +++ b/metadata-ingestion/tests/unit/test_oracle_source.py @@ -21,7 +21,7 @@ def test_oracle_config(): ) assert ( config.get_sql_alchemy_url() - == "oracle+cx_oracle://user:password@host:1521/?service_name=svc01" + == "oracle+oracledb://user:password@host:1521/?service_name=svc01" ) with pytest.raises(ValueError): diff --git a/metadata-ingestion/tests/unit/utilities/test_unified_diff.py b/metadata-ingestion/tests/unit/utilities/test_unified_diff.py new file mode 100644 index 00000000000000..05277ec3fa0abb --- /dev/null +++ b/metadata-ingestion/tests/unit/utilities/test_unified_diff.py @@ -0,0 +1,191 @@ +import pytest + +from datahub.utilities.unified_diff import ( + DiffApplyError, + Hunk, + InvalidDiffError, + apply_diff, + apply_hunk, + find_hunk_start, + parse_patch, +) + + +def test_parse_patch(): + patch_text = """@@ -1,3 +1,4 @@ + Line 1 +-Line 2 ++Line 2 modified ++Line 2.5 + Line 3""" + hunks = parse_patch(patch_text) + assert len(hunks) == 1 + assert hunks[0].source_start == 1 + assert hunks[0].source_lines == 3 + assert hunks[0].target_start == 1 + assert hunks[0].target_lines == 4 + assert hunks[0].lines == [ + (" ", "Line 1"), + ("-", "Line 2"), + ("+", "Line 2 modified"), + ("+", "Line 2.5"), + (" ", "Line 3"), + ] + + +def test_parse_patch_invalid(): + with pytest.raises(InvalidDiffError): + parse_patch("Invalid patch") + + +def test_parse_patch_bad_header(): + # A patch with a malformed header + bad_patch_text = """@@ -1,3 + Line 1 +-Line 2 ++Line 2 modified + Line 3""" + with pytest.raises(InvalidDiffError): + parse_patch(bad_patch_text) + + +def test_find_hunk_start(): + source_lines = ["Line 1", "Line 2", "Line 3", "Line 4"] + hunk = Hunk(2, 2, 2, 2, [(" ", "Line 2"), (" ", "Line 3")]) + assert find_hunk_start(source_lines, hunk) == 1 + + +def test_find_hunk_start_not_found(): + source_lines = ["Line 1", "Line 2", "Line 3", "Line 4"] + hunk = Hunk(2, 2, 2, 2, [(" ", "Line X"), (" ", "Line Y")]) + with pytest.raises(DiffApplyError, match="Could not find match for hunk context."): + find_hunk_start(source_lines, hunk) + + +def test_apply_hunk_success(): + result_lines = ["Line 1", "Line 2", "Line 3"] + hunk = Hunk( + 2, + 2, + 2, + 3, + [(" ", "Line 2"), ("-", "Line 3"), ("+", "Line 3 modified"), ("+", "Line 3.5")], + ) + apply_hunk(result_lines, hunk, 0) + assert result_lines == ["Line 1", "Line 2", "Line 3 modified", "Line 3.5"] + + +def test_apply_hunk_mismatch(): + result_lines = ["Line 1", "Line 2", "Line X"] + hunk = Hunk( + 2, 2, 2, 2, [(" ", "Line 2"), ("-", "Line 3"), ("+", "Line 3 modified")] + ) + with pytest.raises( + DiffApplyError, match="Removing line that doesn't exactly match" + ): + apply_hunk(result_lines, hunk, 0) + + +def test_apply_hunk_context_mismatch(): + result_lines = ["Line 1", "Line 3"] + hunk = Hunk(2, 2, 2, 2, [(" ", "Line 1"), ("+", "Line 2"), (" ", "Line 4")]) + with pytest.raises(DiffApplyError, match="Context line doesn't exactly match"): + apply_hunk(result_lines, hunk, 0) + + +def test_apply_hunk_invalid_prefix(): + result_lines = ["Line 1", "Line 2", "Line 3"] + hunk = Hunk( + 2, 2, 2, 2, [(" ", "Line 2"), ("*", "Line 3"), ("+", "Line 3 modified")] + ) + with pytest.raises(DiffApplyError, match="Invalid line prefix"): + apply_hunk(result_lines, hunk, 0) + + +def test_apply_hunk_end_of_file(): + result_lines = ["Line 1", "Line 2"] + hunk = Hunk( + 2, 2, 2, 3, [(" ", "Line 2"), ("-", "Line 3"), ("+", "Line 3 modified")] + ) + with pytest.raises( + DiffApplyError, match="Found context or deletions after end of file" + ): + apply_hunk(result_lines, hunk, 0) + + +def test_apply_hunk_context_beyond_end_of_file(): + result_lines = ["Line 1", "Line 3"] + hunk = Hunk( + 2, 2, 2, 3, [(" ", "Line 1"), ("+", "Line 2"), (" ", "Line 3"), (" ", "Line 4")] + ) + with pytest.raises( + DiffApplyError, match="Found context or deletions after end of file" + ): + apply_hunk(result_lines, hunk, 0) + + +def test_apply_hunk_remove_non_existent_line(): + result_lines = ["Line 1", "Line 2", "Line 4"] + hunk = Hunk( + 2, 2, 2, 3, [(" ", "Line 2"), ("-", "Line 3"), ("+", "Line 3 modified")] + ) + with pytest.raises( + DiffApplyError, match="Removing line that doesn't exactly match" + ): + apply_hunk(result_lines, hunk, 0) + + +def test_apply_hunk_addition_beyond_end_of_file(): + result_lines = ["Line 1", "Line 2"] + hunk = Hunk( + 2, 2, 2, 3, [(" ", "Line 2"), ("+", "Line 3 modified"), ("+", "Line 4")] + ) + apply_hunk(result_lines, hunk, 0) + assert result_lines == ["Line 1", "Line 2", "Line 3 modified", "Line 4"] + + +def test_apply_diff(): + source = """Line 1 +Line 2 +Line 3 +Line 4""" + patch = """@@ -1,4 +1,5 @@ + Line 1 +-Line 2 ++Line 2 modified ++Line 2.5 + Line 3 + Line 4""" + result = apply_diff(source, patch) + expected = """Line 1 +Line 2 modified +Line 2.5 +Line 3 +Line 4 +""" + assert result == expected + + +def test_apply_diff_invalid_patch(): + source = "Line 1\nLine 2\n" + patch = "Invalid patch" + with pytest.raises(InvalidDiffError): + apply_diff(source, patch) + + +def test_apply_diff_unapplicable_patch(): + source = "Line 1\nLine 2\n" + patch = "@@ -1,2 +1,2 @@\n Line 1\n-Line X\n+Line 2 modified\n" + with pytest.raises(DiffApplyError): + apply_diff(source, patch) + + +def test_apply_diff_add_to_empty_file(): + source = "" + patch = """\ +@@ -1,0 +1,1 @@ ++Line 1 ++Line 2 +""" + result = apply_diff(source, patch) + assert result == "Line 1\nLine 2\n" diff --git a/metadata-ingestion/tests/unit/utilities/test_utilities.py b/metadata-ingestion/tests/unit/utilities/test_utilities.py index fc2aa27f70b431..68da1bc1c01be2 100644 --- a/metadata-ingestion/tests/unit/utilities/test_utilities.py +++ b/metadata-ingestion/tests/unit/utilities/test_utilities.py @@ -1,6 +1,7 @@ import doctest from datahub.utilities.delayed_iter import delayed_iter +from datahub.utilities.is_pytest import is_pytest_running from datahub.utilities.sql_parser import SqlLineageSQLParser @@ -295,3 +296,7 @@ def test_logging_name_extraction(): ).attempted > 0 ) + + +def test_is_pytest_running() -> None: + assert is_pytest_running() diff --git a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/EntityAspect.java b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/EntityAspect.java index cba770d841b940..976db4133c0043 100644 --- a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/EntityAspect.java +++ b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/EntityAspect.java @@ -9,6 +9,7 @@ import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.models.AspectSpec; import com.linkedin.metadata.models.EntitySpec; +import com.linkedin.mxe.GenericAspect; import com.linkedin.mxe.SystemMetadata; import java.sql.Timestamp; import javax.annotation.Nonnull; @@ -65,7 +66,7 @@ public static class EntitySystemAspect implements SystemAspect { @Nullable private final RecordTemplate recordTemplate; @Nonnull private final EntitySpec entitySpec; - @Nonnull private final AspectSpec aspectSpec; + @Nullable private final AspectSpec aspectSpec; @Nonnull public String getUrnRaw() { @@ -151,7 +152,7 @@ private EntityAspect.EntitySystemAspect build() { public EntityAspect.EntitySystemAspect build( @Nonnull EntitySpec entitySpec, - @Nonnull AspectSpec aspectSpec, + @Nullable AspectSpec aspectSpec, @Nonnull EntityAspect entityAspect) { this.entityAspect = entityAspect; this.urn = UrnUtils.getUrn(entityAspect.getUrn()); @@ -159,7 +160,11 @@ public EntityAspect.EntitySystemAspect build( if (entityAspect.getMetadata() != null) { this.recordTemplate = RecordUtils.toRecordTemplate( - aspectSpec.getDataTemplateClass(), entityAspect.getMetadata()); + (Class) + (aspectSpec == null + ? GenericAspect.class + : aspectSpec.getDataTemplateClass()), + entityAspect.getMetadata()); } return new EntitySystemAspect(entityAspect, urn, recordTemplate, entitySpec, aspectSpec); diff --git a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/AspectsBatchImpl.java b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/AspectsBatchImpl.java index 1fba8426317209..7f56abe64f9a77 100644 --- a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/AspectsBatchImpl.java +++ b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/AspectsBatchImpl.java @@ -3,6 +3,7 @@ import com.linkedin.common.AuditStamp; import com.linkedin.data.template.RecordTemplate; import com.linkedin.events.metadata.ChangeType; +import com.linkedin.metadata.aspect.AspectRetriever; import com.linkedin.metadata.aspect.RetrieverContext; import com.linkedin.metadata.aspect.SystemAspect; import com.linkedin.metadata.aspect.batch.AspectsBatch; @@ -11,6 +12,7 @@ import com.linkedin.metadata.aspect.batch.MCPItem; import com.linkedin.metadata.aspect.plugins.hooks.MutationHook; import com.linkedin.metadata.aspect.plugins.validation.ValidationExceptionCollection; +import com.linkedin.metadata.models.EntitySpec; import com.linkedin.mxe.MetadataChangeProposal; import com.linkedin.util.Pair; import java.util.Collection; @@ -114,19 +116,7 @@ private Stream proposedItemsToChangeItemStream(List { - if (ChangeType.PATCH.equals(mcpItem.getChangeType())) { - return PatchItemImpl.PatchItemImplBuilder.build( - mcpItem.getMetadataChangeProposal(), - mcpItem.getAuditStamp(), - retrieverContext.getAspectRetriever().getEntityRegistry()); - } - return ChangeItemImpl.ChangeItemImplBuilder.build( - mcpItem.getMetadataChangeProposal(), - mcpItem.getAuditStamp(), - retrieverContext.getAspectRetriever()); - }); + .map(mcpItem -> patchDiscriminator(mcpItem, retrieverContext.getAspectRetriever())); List mutatedItems = applyProposalMutationHooks(proposedItems, retrieverContext).collect(Collectors.toList()); Stream proposedItemsToChangeItems = @@ -134,12 +124,7 @@ private Stream proposedItemsToChangeItemStream(List mcpItem.getMetadataChangeProposal() != null) // Filter on proposed items again to avoid applying builder to Patch Item side effects .filter(mcpItem -> mcpItem instanceof ProposedItem) - .map( - mcpItem -> - ChangeItemImpl.ChangeItemImplBuilder.build( - mcpItem.getMetadataChangeProposal(), - mcpItem.getAuditStamp(), - retrieverContext.getAspectRetriever())); + .map(mcpItem -> patchDiscriminator(mcpItem, retrieverContext.getAspectRetriever())); Stream sideEffectItems = mutatedItems.stream().filter(mcpItem -> !(mcpItem instanceof ProposedItem)); Stream combinedChangeItems = @@ -147,6 +132,17 @@ private Stream proposedItemsToChangeItemStream(List mcps, AuditStamp auditStamp, RetrieverContext retrieverContext) { + return mcps(mcps, auditStamp, retrieverContext, false); + } + + public AspectsBatchImplBuilder mcps( + Collection mcps, + AuditStamp auditStamp, + RetrieverContext retrieverContext, + boolean alternateMCPValidation) { retrieverContext(retrieverContext); items( @@ -171,6 +175,18 @@ public AspectsBatchImplBuilder mcps( .map( mcp -> { try { + if (alternateMCPValidation) { + EntitySpec entitySpec = + retrieverContext + .getAspectRetriever() + .getEntityRegistry() + .getEntitySpec(mcp.getEntityType()); + return ProposedItem.builder() + .metadataChangeProposal(mcp) + .entitySpec(entitySpec) + .auditStamp(auditStamp) + .build(); + } if (mcp.getChangeType().equals(ChangeType.PATCH)) { return PatchItemImpl.PatchItemImplBuilder.build( mcp, diff --git a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/PatchItemImpl.java b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/PatchItemImpl.java index 43a7d00248a224..ec0a8422e3c4a2 100644 --- a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/PatchItemImpl.java +++ b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/PatchItemImpl.java @@ -203,7 +203,7 @@ public static PatchItemImpl build( .build(entityRegistry); } - private static JsonPatch convertToJsonPatch(MetadataChangeProposal mcp) { + public static JsonPatch convertToJsonPatch(MetadataChangeProposal mcp) { JsonNode json; try { return Json.createPatch( diff --git a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ProposedItem.java b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ProposedItem.java index 132a731d278af8..88187ef159f233 100644 --- a/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ProposedItem.java +++ b/metadata-io/metadata-io-api/src/main/java/com/linkedin/metadata/entity/ebean/batch/ProposedItem.java @@ -9,8 +9,10 @@ import com.linkedin.metadata.models.EntitySpec; import com.linkedin.metadata.utils.EntityKeyUtils; import com.linkedin.metadata.utils.GenericRecordUtils; +import com.linkedin.metadata.utils.SystemMetadataUtils; import com.linkedin.mxe.MetadataChangeProposal; import com.linkedin.mxe.SystemMetadata; +import java.util.Objects; import javax.annotation.Nonnull; import javax.annotation.Nullable; import lombok.Builder; @@ -83,4 +85,18 @@ public SystemMetadata getSystemMetadata() { public ChangeType getChangeType() { return metadataChangeProposal.getChangeType(); } + + public static class ProposedItemBuilder { + public ProposedItem build() { + // Ensure systemMetadata + return new ProposedItem( + Objects.requireNonNull(this.metadataChangeProposal) + .setSystemMetadata( + SystemMetadataUtils.generateSystemMetadataIfEmpty( + this.metadataChangeProposal.getSystemMetadata())), + this.auditStamp, + this.entitySpec, + this.aspectSpec); + } + } } diff --git a/metadata-io/src/main/java/com/linkedin/metadata/aspect/hooks/IgnoreUnknownMutator.java b/metadata-io/src/main/java/com/linkedin/metadata/aspect/hooks/IgnoreUnknownMutator.java index 8d6bdffceacb93..f5cc421042e368 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/aspect/hooks/IgnoreUnknownMutator.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/aspect/hooks/IgnoreUnknownMutator.java @@ -1,8 +1,14 @@ package com.linkedin.metadata.aspect.hooks; +import static com.linkedin.events.metadata.ChangeType.CREATE; +import static com.linkedin.events.metadata.ChangeType.CREATE_ENTITY; +import static com.linkedin.events.metadata.ChangeType.UPDATE; +import static com.linkedin.events.metadata.ChangeType.UPSERT; + import com.datahub.util.exception.ModelConversionException; import com.linkedin.data.template.RecordTemplate; import com.linkedin.data.transform.filter.request.MaskTree; +import com.linkedin.events.metadata.ChangeType; import com.linkedin.metadata.aspect.RetrieverContext; import com.linkedin.metadata.aspect.batch.MCPItem; import com.linkedin.metadata.aspect.plugins.config.AspectPluginConfig; @@ -14,6 +20,7 @@ import com.linkedin.mxe.GenericAspect; import com.linkedin.restli.internal.server.util.RestUtils; import java.util.Collection; +import java.util.Set; import java.util.stream.Stream; import javax.annotation.Nonnull; import lombok.Getter; @@ -27,6 +34,11 @@ @Getter @Accessors(chain = true) public class IgnoreUnknownMutator extends MutationHook { + private static final Set SUPPORTED_MIME_TYPES = + Set.of("application/json", "application/json-patch+json"); + private static final Set MUTATION_TYPES = + Set.of(CREATE, CREATE_ENTITY, UPSERT, UPDATE); + @Nonnull private AspectPluginConfig config; @Override @@ -42,8 +54,8 @@ protected Stream proposalMutation( item.getAspectSpec().getName()); return false; } - if (!"application/json" - .equals(item.getMetadataChangeProposal().getAspect().getContentType())) { + if (!SUPPORTED_MIME_TYPES.contains( + item.getMetadataChangeProposal().getAspect().getContentType())) { log.warn( "Dropping unknown content type {} for aspect {} on entity {}", item.getMetadataChangeProposal().getAspect().getContentType(), @@ -55,25 +67,27 @@ protected Stream proposalMutation( }) .peek( item -> { - try { - AspectSpec aspectSpec = item.getEntitySpec().getAspectSpec(item.getAspectName()); - GenericAspect aspect = item.getMetadataChangeProposal().getAspect(); - RecordTemplate recordTemplate = - GenericRecordUtils.deserializeAspect( - aspect.getValue(), aspect.getContentType(), aspectSpec); + if (MUTATION_TYPES.contains(item.getChangeType())) { try { - ValidationApiUtils.validateOrThrow(recordTemplate); - } catch (ValidationException | ModelConversionException e) { - log.warn( - "Failed to validate aspect. Coercing aspect {} on entity {}", - item.getAspectName(), - item.getEntitySpec().getName()); - RestUtils.trimRecordTemplate(recordTemplate, new MaskTree(), false); - item.getMetadataChangeProposal() - .setAspect(GenericRecordUtils.serializeAspect(recordTemplate)); + AspectSpec aspectSpec = item.getEntitySpec().getAspectSpec(item.getAspectName()); + GenericAspect aspect = item.getMetadataChangeProposal().getAspect(); + RecordTemplate recordTemplate = + GenericRecordUtils.deserializeAspect( + aspect.getValue(), aspect.getContentType(), aspectSpec); + try { + ValidationApiUtils.validateOrThrow(recordTemplate); + } catch (ValidationException | ModelConversionException e) { + log.warn( + "Failed to validate aspect. Coercing aspect {} on entity {}", + item.getAspectName(), + item.getEntitySpec().getName()); + RestUtils.trimRecordTemplate(recordTemplate, new MaskTree(), false); + item.getMetadataChangeProposal() + .setAspect(GenericRecordUtils.serializeAspect(recordTemplate)); + } + } catch (Exception e) { + throw new RuntimeException(e); } - } catch (Exception e) { - throw new RuntimeException(e); } }); } diff --git a/metadata-io/src/main/java/com/linkedin/metadata/client/JavaEntityClient.java b/metadata-io/src/main/java/com/linkedin/metadata/client/JavaEntityClient.java index 60a991c19ae8bf..8b625b3ae22895 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/client/JavaEntityClient.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/client/JavaEntityClient.java @@ -23,7 +23,6 @@ import com.linkedin.metadata.aspect.EnvelopedAspectArray; import com.linkedin.metadata.aspect.VersionedAspect; import com.linkedin.metadata.aspect.batch.AspectsBatch; -import com.linkedin.metadata.aspect.batch.BatchItem; import com.linkedin.metadata.browse.BrowseResult; import com.linkedin.metadata.browse.BrowseResultV2; import com.linkedin.metadata.entity.DeleteEntityService; @@ -56,6 +55,7 @@ import com.linkedin.parseq.retry.backoff.BackoffPolicy; import com.linkedin.parseq.retry.backoff.ExponentialBackoff; import com.linkedin.r2.RemoteInvocationException; +import com.linkedin.util.Pair; import io.datahubproject.metadata.context.OperationContext; import io.opentelemetry.extension.annotations.WithSpan; import java.net.URISyntaxException; @@ -762,38 +762,41 @@ public List batchIngestProposals( AspectsBatch batch = AspectsBatchImpl.builder() - .mcps(metadataChangeProposals, auditStamp, opContext.getRetrieverContext().get()) + .mcps( + metadataChangeProposals, + auditStamp, + opContext.getRetrieverContext().get(), + opContext.getValidationContext().isAlternateValidation()) .build(); - Map> resultMap = + Map, List> resultMap = entityService.ingestProposal(opContext, batch, async).stream() - .collect(Collectors.groupingBy(IngestResult::getRequest)); - - // Update runIds - batch.getItems().stream() - .filter(resultMap::containsKey) - .forEach( - requestItem -> { - List results = resultMap.get(requestItem); - Optional resultUrn = - results.stream().map(IngestResult::getUrn).filter(Objects::nonNull).findFirst(); - resultUrn.ifPresent( - urn -> tryIndexRunId(opContext, urn, requestItem.getSystemMetadata())); - }); + .collect( + Collectors.groupingBy( + result -> + Pair.of( + result.getRequest().getUrn(), result.getRequest().getAspectName()))); // Preserve ordering return batch.getItems().stream() .map( requestItem -> { - if (resultMap.containsKey(requestItem)) { - List results = resultMap.get(requestItem); - return results.stream() - .filter(r -> r.getUrn() != null) - .findFirst() - .map(r -> r.getUrn().toString()) - .orElse(null); - } - return null; + // Urns generated + List urnsForRequest = + resultMap + .getOrDefault( + Pair.of(requestItem.getUrn(), requestItem.getAspectName()), List.of()) + .stream() + .map(IngestResult::getUrn) + .filter(Objects::nonNull) + .distinct() + .collect(Collectors.toList()); + + // Update runIds + urnsForRequest.forEach( + urn -> tryIndexRunId(opContext, urn, requestItem.getSystemMetadata())); + + return urnsForRequest.isEmpty() ? null : urnsForRequest.get(0).toString(); }) .collect(Collectors.toList()); } diff --git a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java index 00feb547ca3300..9337ea3c2b6f77 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/entity/EntityServiceImpl.java @@ -164,6 +164,8 @@ public class EntityServiceImpl implements EntityService { private final Integer ebeanMaxTransactionRetry; private final boolean enableBrowseV2; + private static final long DB_TIMER_LOG_THRESHOLD_MS = 50; + @Getter private final Map, ThrottleEvent> throttleEvents = new ConcurrentHashMap<>(); @@ -997,10 +999,10 @@ private List ingestAspectsToLocalDB( if (txContext != null) { txContext.commitAndContinue(); } - long took = ingestToLocalDBTimer.stop(); - log.info( - "Ingestion of aspects batch to database took {} ms", - TimeUnit.NANOSECONDS.toMillis(took)); + long took = TimeUnit.NANOSECONDS.toMillis(ingestToLocalDBTimer.stop()); + if (took > DB_TIMER_LOG_THRESHOLD_MS) { + log.info("Ingestion of aspects batch to database took {} ms", took); + } // Retention optimization and tx if (retentionService != null) { @@ -1173,15 +1175,15 @@ public IngestResult ingestProposal( * @return an {@link IngestResult} containing the results */ @Override - public Set ingestProposal( + public List ingestProposal( @Nonnull OperationContext opContext, AspectsBatch aspectsBatch, final boolean async) { Stream timeseriesIngestResults = ingestTimeseriesProposal(opContext, aspectsBatch, async); Stream nonTimeseriesIngestResults = async ? ingestProposalAsync(aspectsBatch) : ingestProposalSync(opContext, aspectsBatch); - return Stream.concat(timeseriesIngestResults, nonTimeseriesIngestResults) - .collect(Collectors.toSet()); + return Stream.concat(nonTimeseriesIngestResults, timeseriesIngestResults) + .collect(Collectors.toList()); } /** @@ -1192,11 +1194,13 @@ public Set ingestProposal( */ private Stream ingestTimeseriesProposal( @Nonnull OperationContext opContext, AspectsBatch aspectsBatch, final boolean async) { + List unsupported = aspectsBatch.getItems().stream() .filter( item -> - item.getAspectSpec().isTimeseries() + item.getAspectSpec() != null + && item.getAspectSpec().isTimeseries() && item.getChangeType() != ChangeType.UPSERT) .collect(Collectors.toList()); if (!unsupported.isEmpty()) { @@ -1212,7 +1216,7 @@ private Stream ingestTimeseriesProposal( // Create default non-timeseries aspects for timeseries aspects List timeseriesKeyAspects = aspectsBatch.getMCPItems().stream() - .filter(item -> item.getAspectSpec().isTimeseries()) + .filter(item -> item.getAspectSpec() != null && item.getAspectSpec().isTimeseries()) .map( item -> ChangeItemImpl.builder() @@ -1238,10 +1242,10 @@ private Stream ingestTimeseriesProposal( } // Emit timeseries MCLs - List, Boolean>>>> timeseriesResults = + List, Boolean>>>> timeseriesResults = aspectsBatch.getItems().stream() - .filter(item -> item.getAspectSpec().isTimeseries()) - .map(item -> (ChangeItemImpl) item) + .filter(item -> item.getAspectSpec() != null && item.getAspectSpec().isTimeseries()) + .map(item -> (MCPItem) item) .map( item -> Pair.of( @@ -1272,7 +1276,7 @@ private Stream ingestTimeseriesProposal( } }); - ChangeItemImpl request = result.getFirst(); + MCPItem request = result.getFirst(); return IngestResult.builder() .urn(request.getUrn()) .request(request) @@ -1292,7 +1296,7 @@ private Stream ingestTimeseriesProposal( private Stream ingestProposalAsync(AspectsBatch aspectsBatch) { List nonTimeseries = aspectsBatch.getMCPItems().stream() - .filter(item -> !item.getAspectSpec().isTimeseries()) + .filter(item -> item.getAspectSpec() == null || !item.getAspectSpec().isTimeseries()) .collect(Collectors.toList()); List> futures = @@ -1328,6 +1332,7 @@ private Stream ingestProposalAsync(AspectsBatch aspectsBatch) { private Stream ingestProposalSync( @Nonnull OperationContext opContext, AspectsBatch aspectsBatch) { + AspectsBatchImpl nonTimeseries = AspectsBatchImpl.builder() .retrieverContext(aspectsBatch.getRetrieverContext()) diff --git a/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/ElasticSearchService.java b/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/ElasticSearchService.java index 6001e2f6e660fa..261ec127d54972 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/ElasticSearchService.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/ElasticSearchService.java @@ -112,7 +112,7 @@ public void appendRunId( @Nullable String runId) { final String docId = indexBuilders.getIndexConvention().getEntityDocumentId(urn); - log.info( + log.debug( "Appending run id for entity name: {}, doc id: {}, run id: {}", entityName, docId, runId); esWriteDAO.applyScriptUpdate( opContext, diff --git a/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/query/filter/BaseQueryFilterRewriter.java b/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/query/filter/BaseQueryFilterRewriter.java index d545f60a1ee8fa..367705d369c7ce 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/query/filter/BaseQueryFilterRewriter.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/search/elasticsearch/query/filter/BaseQueryFilterRewriter.java @@ -110,12 +110,9 @@ private BoolQueryBuilder handleNestedFilters( mustNotQueryBuilders.forEach(expandedQueryBuilder::mustNot); expandedQueryBuilder.queryName(boolQueryBuilder.queryName()); expandedQueryBuilder.adjustPureNegative(boolQueryBuilder.adjustPureNegative()); + expandedQueryBuilder.minimumShouldMatch(boolQueryBuilder.minimumShouldMatch()); expandedQueryBuilder.boost(boolQueryBuilder.boost()); - if (!expandedQueryBuilder.should().isEmpty()) { - expandedQueryBuilder.minimumShouldMatch(1); - } - return expandedQueryBuilder; } diff --git a/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateGraphIndicesService.java b/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateGraphIndicesService.java index 7549aea2007da5..ef7f681a81539d 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateGraphIndicesService.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateGraphIndicesService.java @@ -34,6 +34,7 @@ import com.linkedin.metadata.query.filter.Filter; import com.linkedin.metadata.query.filter.RelationshipDirection; import com.linkedin.metadata.utils.SchemaFieldUtils; +import com.linkedin.metadata.utils.metrics.MetricUtils; import com.linkedin.mxe.MetadataChangeLog; import com.linkedin.mxe.SystemMetadata; import com.linkedin.util.Pair; @@ -56,6 +57,9 @@ @Slf4j public class UpdateGraphIndicesService implements SearchIndicesService { private static final String DOWNSTREAM_OF = "DownstreamOf"; + private static final String GRAPH_DIFF_MODE_REMOVE_METRIC = "diff_remove_edge"; + private static final String GRAPH_DIFF_MODE_ADD_METRIC = "diff_add_edge"; + private static final String GRAPH_DIFF_MODE_UPDATE_METRIC = "diff_update_edge"; public static UpdateGraphIndicesService withService(GraphService graphService) { return new UpdateGraphIndicesService(graphService); @@ -382,21 +386,26 @@ private void updateGraphServiceDiff( final List mergedEdges = getMergedEdges(oldEdgeSet, newEdgeSet); // Remove any old edges that no longer exist first - if (subtractiveDifference.size() > 0) { + if (!subtractiveDifference.isEmpty()) { log.debug("Removing edges: {}", subtractiveDifference); subtractiveDifference.forEach(graphService::removeEdge); + MetricUtils.counter(this.getClass(), GRAPH_DIFF_MODE_REMOVE_METRIC) + .inc(subtractiveDifference.size()); } // Then add new edges - if (additiveDifference.size() > 0) { + if (!additiveDifference.isEmpty()) { log.debug("Adding edges: {}", additiveDifference); additiveDifference.forEach(graphService::addEdge); + MetricUtils.counter(this.getClass(), GRAPH_DIFF_MODE_ADD_METRIC) + .inc(additiveDifference.size()); } // Then update existing edges - if (mergedEdges.size() > 0) { + if (!mergedEdges.isEmpty()) { log.debug("Updating edges: {}", mergedEdges); mergedEdges.forEach(graphService::upsertEdge); + MetricUtils.counter(this.getClass(), GRAPH_DIFF_MODE_UPDATE_METRIC).inc(mergedEdges.size()); } } @@ -437,7 +446,7 @@ private void deleteGraphData( final HashMap> urnToRelationshipTypesBeingAdded = edgeAndRelationTypes.getSecond(); - if (urnToRelationshipTypesBeingAdded.size() > 0) { + if (!urnToRelationshipTypesBeingAdded.isEmpty()) { for (Map.Entry> entry : urnToRelationshipTypesBeingAdded.entrySet()) { graphService.removeEdgesFromNode( opContext, diff --git a/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateIndicesService.java b/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateIndicesService.java index 3795fd19316b19..326447b3d9d8cb 100644 --- a/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateIndicesService.java +++ b/metadata-io/src/main/java/com/linkedin/metadata/service/UpdateIndicesService.java @@ -26,6 +26,7 @@ import com.linkedin.metadata.systemmetadata.SystemMetadataService; import com.linkedin.metadata.timeseries.TimeseriesAspectService; import com.linkedin.metadata.timeseries.transformer.TimeseriesAspectTransformer; +import com.linkedin.metadata.utils.metrics.MetricUtils; import com.linkedin.mxe.MetadataChangeLog; import com.linkedin.mxe.SystemMetadata; import com.linkedin.structured.StructuredPropertyDefinition; @@ -61,6 +62,9 @@ public class UpdateIndicesService implements SearchIndicesService { @Getter private final boolean structuredPropertiesWriteEnabled; + private static final String DOCUMENT_TRANSFORM_FAILED_METRIC = "document_transform_failed"; + private static final String SEARCH_DIFF_MODE_SKIPPED_METRIC = "search_diff_no_changes_detected"; + private static final Set UPDATE_CHANGE_TYPES = ImmutableSet.of( ChangeType.CREATE, @@ -283,11 +287,13 @@ private void updateSearchService(@Nonnull OperationContext opContext, MCLItem ev event.getAuditStamp())); } catch (Exception e) { log.error( - "Error in getting documents from aspect: {} for aspect {}", e, aspectSpec.getName()); + "Error in getting documents for urn: {} from aspect: {}", urn, aspectSpec.getName(), e); + MetricUtils.counter(this.getClass(), DOCUMENT_TRANSFORM_FAILED_METRIC).inc(); return; } - if (!searchDocument.isPresent()) { + if (searchDocument.isEmpty()) { + log.info("Search document for urn: {} aspect: {} was empty", urn, aspect); return; } @@ -304,15 +310,22 @@ private void updateSearchService(@Nonnull OperationContext opContext, MCLItem ev opContext, urn, previousAspect, aspectSpec, false); } catch (Exception e) { log.error( - "Error in getting documents from previous aspect state: {} for aspect {}, continuing without diffing.", - e, - aspectSpec.getName()); + "Error in getting documents from previous aspect state for urn: {} for aspect {}, continuing without diffing.", + urn, + aspectSpec.getName(), + e); + MetricUtils.counter(this.getClass(), DOCUMENT_TRANSFORM_FAILED_METRIC).inc(); } } if (previousSearchDocument.isPresent()) { if (searchDocument.get().toString().equals(previousSearchDocument.get().toString())) { // No changes to search document, skip writing no-op update + log.info( + "No changes detected for search document for urn: {} aspect: {}", + urn, + aspectSpec.getName()); + MetricUtils.counter(this.getClass(), SEARCH_DIFF_MODE_SKIPPED_METRIC).inc(); return; } } diff --git a/metadata-io/src/test/java/com/linkedin/metadata/client/JavaEntityClientTest.java b/metadata-io/src/test/java/com/linkedin/metadata/client/JavaEntityClientTest.java index 2ca966b104e034..7b1fccafbb9e63 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/client/JavaEntityClientTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/client/JavaEntityClientTest.java @@ -5,9 +5,22 @@ import static org.testng.Assert.assertThrows; import com.codahale.metrics.Counter; +import com.linkedin.common.AuditStamp; +import com.linkedin.common.Status; +import com.linkedin.common.UrnArray; +import com.linkedin.common.urn.Urn; +import com.linkedin.common.urn.UrnUtils; import com.linkedin.data.template.RequiredFieldNotPresentException; +import com.linkedin.domain.Domains; +import com.linkedin.events.metadata.ChangeType; +import com.linkedin.metadata.Constants; +import com.linkedin.metadata.aspect.batch.AspectsBatch; import com.linkedin.metadata.entity.DeleteEntityService; import com.linkedin.metadata.entity.EntityService; +import com.linkedin.metadata.entity.IngestResult; +import com.linkedin.metadata.entity.UpdateAspectResult; +import com.linkedin.metadata.entity.ebean.batch.ChangeItemImpl; +import com.linkedin.metadata.entity.ebean.batch.ProposedItem; import com.linkedin.metadata.event.EventProducer; import com.linkedin.metadata.search.EntitySearchService; import com.linkedin.metadata.search.LineageSearchService; @@ -15,8 +28,14 @@ import com.linkedin.metadata.search.client.CachingEntitySearchService; import com.linkedin.metadata.service.RollbackService; import com.linkedin.metadata.timeseries.TimeseriesAspectService; +import com.linkedin.metadata.utils.AuditStampUtils; +import com.linkedin.metadata.utils.GenericRecordUtils; import com.linkedin.metadata.utils.metrics.MetricUtils; +import com.linkedin.mxe.MetadataChangeProposal; +import com.linkedin.r2.RemoteInvocationException; import io.datahubproject.metadata.context.OperationContext; +import io.datahubproject.test.metadata.context.TestOperationContexts; +import java.util.List; import java.util.function.Supplier; import org.mockito.MockedStatic; import org.testng.annotations.AfterMethod; @@ -25,7 +44,7 @@ public class JavaEntityClientTest { - private EntityService _entityService; + private EntityService _entityService; private DeleteEntityService _deleteEntityService; private EntitySearchService _entitySearchService; private CachingEntitySearchService _cachingEntitySearchService; @@ -52,7 +71,7 @@ public void setupTest() { _metricUtils = mockStatic(MetricUtils.class); _counter = mock(Counter.class); when(MetricUtils.counter(any(), any())).thenReturn(_counter); - opContext = mock(OperationContext.class); + opContext = TestOperationContexts.systemContextNoSearchAuthorization(); } @AfterMethod @@ -131,4 +150,97 @@ void testThrowAfterNonRetryableException() { () -> MetricUtils.counter(client.getClass(), "exception_" + e.getClass().getName()), times(1)); } + + @Test + void tesIngestOrderingWithProposedItem() throws RemoteInvocationException { + JavaEntityClient client = getJavaEntityClient(); + Urn testUrn = UrnUtils.getUrn("urn:li:container:orderingTest"); + AuditStamp auditStamp = AuditStampUtils.createDefaultAuditStamp(); + MetadataChangeProposal mcp = + new MetadataChangeProposal() + .setEntityUrn(testUrn) + .setAspectName("status") + .setEntityType("container") + .setChangeType(ChangeType.UPSERT) + .setAspect(GenericRecordUtils.serializeAspect(new Status().setRemoved(true))); + + when(_entityService.ingestProposal( + any(OperationContext.class), any(AspectsBatch.class), eq(false))) + .thenReturn( + List.of( + // Misc - unrelated urn + IngestResult.builder() + .urn(UrnUtils.getUrn("urn:li:container:domains")) + .request( + ChangeItemImpl.builder() + .entitySpec( + opContext + .getEntityRegistry() + .getEntitySpec(Constants.CONTAINER_ENTITY_NAME)) + .aspectSpec( + opContext + .getEntityRegistry() + .getEntitySpec(Constants.CONTAINER_ENTITY_NAME) + .getAspectSpec(Constants.DOMAINS_ASPECT_NAME)) + .changeType(ChangeType.UPSERT) + .urn(UrnUtils.getUrn("urn:li:container:domains")) + .aspectName("domains") + .recordTemplate(new Domains().setDomains(new UrnArray())) + .auditStamp(auditStamp) + .build(opContext.getAspectRetriever())) + .isUpdate(true) + .publishedMCL(true) + .sqlCommitted(true) + .build(), + // Side effect - unrelated urn + IngestResult.builder() + .urn(UrnUtils.getUrn("urn:li:container:sideEffect")) + .request( + ChangeItemImpl.builder() + .entitySpec( + opContext + .getEntityRegistry() + .getEntitySpec(Constants.CONTAINER_ENTITY_NAME)) + .aspectSpec( + opContext + .getEntityRegistry() + .getEntitySpec(Constants.CONTAINER_ENTITY_NAME) + .getAspectSpec(Constants.STATUS_ASPECT_NAME)) + .changeType(ChangeType.UPSERT) + .urn(UrnUtils.getUrn("urn:li:container:sideEffect")) + .aspectName("status") + .recordTemplate(new Status().setRemoved(false)) + .auditStamp(auditStamp) + .build(opContext.getAspectRetriever())) + .isUpdate(true) + .publishedMCL(true) + .sqlCommitted(true) + .build(), + // Expected response + IngestResult.builder() + .urn(testUrn) + .request( + ProposedItem.builder() + .metadataChangeProposal(mcp) + .entitySpec( + opContext + .getEntityRegistry() + .getEntitySpec(Constants.CONTAINER_ENTITY_NAME)) + .aspectSpec( + opContext + .getEntityRegistry() + .getEntitySpec(Constants.CONTAINER_ENTITY_NAME) + .getAspectSpec(Constants.STATUS_ASPECT_NAME)) + .auditStamp(auditStamp) + .build()) + .result(UpdateAspectResult.builder().mcp(mcp).urn(testUrn).build()) + .isUpdate(true) + .publishedMCL(true) + .sqlCommitted(true) + .build())); + + String urnStr = client.ingestProposal(opContext, mcp, false); + + assertEquals(urnStr, "urn:li:container:orderingTest"); + } } diff --git a/metadata-io/src/test/java/com/linkedin/metadata/entity/EbeanEntityServiceTest.java b/metadata-io/src/test/java/com/linkedin/metadata/entity/EbeanEntityServiceTest.java index e8d3c654f6f639..04c9297b1ed7aa 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/entity/EbeanEntityServiceTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/entity/EbeanEntityServiceTest.java @@ -104,7 +104,8 @@ public void setupTest() { null, opContext -> ((EntityServiceAspectRetriever) opContext.getAspectRetrieverOpt().get()) - .setSystemOperationContext(opContext)); + .setSystemOperationContext(opContext), + null); } /** diff --git a/metadata-io/src/test/java/com/linkedin/metadata/entity/cassandra/CassandraEntityServiceTest.java b/metadata-io/src/test/java/com/linkedin/metadata/entity/cassandra/CassandraEntityServiceTest.java index 5535866f87c99b..550f55e6bfd0b9 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/entity/cassandra/CassandraEntityServiceTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/entity/cassandra/CassandraEntityServiceTest.java @@ -99,7 +99,8 @@ private void configureComponents() { null, opContext -> ((EntityServiceAspectRetriever) opContext.getAspectRetrieverOpt().get()) - .setSystemOperationContext(opContext)); + .setSystemOperationContext(opContext), + null); } /** diff --git a/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/BaseQueryFilterRewriterTest.java b/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/BaseQueryFilterRewriterTest.java new file mode 100644 index 00000000000000..6293d96fa35b84 --- /dev/null +++ b/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/BaseQueryFilterRewriterTest.java @@ -0,0 +1,75 @@ +package com.linkedin.metadata.search.query.filter; + +import static org.mockito.Mockito.mock; +import static org.testng.Assert.assertEquals; + +import com.linkedin.metadata.query.filter.Condition; +import com.linkedin.metadata.search.elasticsearch.query.filter.BaseQueryFilterRewriter; +import com.linkedin.metadata.search.elasticsearch.query.filter.QueryFilterRewriteChain; +import com.linkedin.metadata.search.elasticsearch.query.filter.QueryFilterRewriterContext; +import com.linkedin.metadata.search.elasticsearch.query.filter.QueryFilterRewriterSearchType; +import io.datahubproject.metadata.context.OperationContext; +import org.opensearch.index.query.BoolQueryBuilder; +import org.opensearch.index.query.QueryBuilders; +import org.testng.annotations.Test; + +public abstract class BaseQueryFilterRewriterTest { + + abstract OperationContext getOpContext(); + + abstract T getTestRewriter(); + + abstract String getTargetField(); + + abstract String getTargetFieldValue(); + + abstract Condition getTargetCondition(); + + @Test + public void testPreservedMinimumMatchRewrite() { + BaseQueryFilterRewriter test = getTestRewriter(); + + // Setup nested container + BoolQueryBuilder testQuery = QueryBuilders.boolQuery().minimumShouldMatch(99); + testQuery.filter( + QueryBuilders.boolQuery() + .filter( + QueryBuilders.boolQuery() + .filter(QueryBuilders.termsQuery(getTargetField(), getTargetFieldValue())))); + testQuery.filter(QueryBuilders.existsQuery("someField")); + testQuery.should( + QueryBuilders.boolQuery() + .minimumShouldMatch(100) + .should( + QueryBuilders.boolQuery() + .minimumShouldMatch(101) + .should(QueryBuilders.termsQuery(getTargetField(), getTargetFieldValue())))); + + BoolQueryBuilder expectedRewrite = QueryBuilders.boolQuery().minimumShouldMatch(99); + expectedRewrite.filter( + QueryBuilders.boolQuery() + .filter( + QueryBuilders.boolQuery() + .filter(QueryBuilders.termsQuery(getTargetField(), getTargetFieldValue())))); + expectedRewrite.filter(QueryBuilders.existsQuery("someField")); + expectedRewrite.should( + QueryBuilders.boolQuery() + .minimumShouldMatch(100) + .should( + QueryBuilders.boolQuery() + .minimumShouldMatch(101) + .should(QueryBuilders.termsQuery(getTargetField(), getTargetFieldValue())))); + + assertEquals( + test.rewrite( + getOpContext(), + QueryFilterRewriterContext.builder() + .condition(getTargetCondition()) + .searchType(QueryFilterRewriterSearchType.FULLTEXT_SEARCH) + .queryFilterRewriteChain(mock(QueryFilterRewriteChain.class)) + .build(false), + testQuery), + expectedRewrite, + "Expected preservation of minimumShouldMatch"); + } +} diff --git a/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/ContainerExpansionRewriterTest.java b/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/ContainerExpansionRewriterTest.java index 5246e4dbe5bf92..fd768424e13c19 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/ContainerExpansionRewriterTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/ContainerExpansionRewriterTest.java @@ -39,7 +39,8 @@ import org.testng.annotations.BeforeMethod; import org.testng.annotations.Test; -public class ContainerExpansionRewriterTest { +public class ContainerExpansionRewriterTest + extends BaseQueryFilterRewriterTest { private static final String FIELD_NAME = "container.keyword"; private final String grandParentUrn = "urn:li:container:grand"; private final String parentUrn = "urn:li:container:foo"; @@ -74,15 +75,40 @@ public void init() { .searchRetriever(TestOperationContexts.emptySearchRetriever) .build(), null, + null, null); } + @Override + OperationContext getOpContext() { + return opContext; + } + + @Override + ContainerExpansionRewriter getTestRewriter() { + return ContainerExpansionRewriter.builder() + .config(QueryFilterRewriterConfiguration.ExpansionRewriterConfiguration.DEFAULT) + .build(); + } + + @Override + String getTargetField() { + return FIELD_NAME; + } + + @Override + String getTargetFieldValue() { + return childUrn; + } + + @Override + Condition getTargetCondition() { + return Condition.ANCESTORS_INCL; + } + @Test public void testTermsQueryRewrite() { - ContainerExpansionRewriter test = - ContainerExpansionRewriter.builder() - .config(QueryFilterRewriterConfiguration.ExpansionRewriterConfiguration.DEFAULT) - .build(); + ContainerExpansionRewriter test = getTestRewriter(); TermsQueryBuilder notTheFieldQuery = QueryBuilders.termsQuery("notTheField", childUrn); assertEquals( diff --git a/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/DomainExpansionRewriterTest.java b/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/DomainExpansionRewriterTest.java index edc6449438581f..8741e24b1bca50 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/DomainExpansionRewriterTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/search/query/filter/DomainExpansionRewriterTest.java @@ -39,7 +39,8 @@ import org.testng.annotations.BeforeMethod; import org.testng.annotations.Test; -public class DomainExpansionRewriterTest { +public class DomainExpansionRewriterTest + extends BaseQueryFilterRewriterTest { private static final String FIELD_NAME = "domains.keyword"; private final String grandParentUrn = "urn:li:domain:grand"; private final String parentUrn = "urn:li:domain:foo"; @@ -74,15 +75,40 @@ public void init() { .searchRetriever(TestOperationContexts.emptySearchRetriever) .build(), null, + null, null); } + @Override + OperationContext getOpContext() { + return opContext; + } + + @Override + DomainExpansionRewriter getTestRewriter() { + return DomainExpansionRewriter.builder() + .config(QueryFilterRewriterConfiguration.ExpansionRewriterConfiguration.DEFAULT) + .build(); + } + + @Override + String getTargetField() { + return FIELD_NAME; + } + + @Override + String getTargetFieldValue() { + return parentUrn; + } + + @Override + Condition getTargetCondition() { + return Condition.DESCENDANTS_INCL; + } + @Test public void testTermsQueryRewrite() { - DomainExpansionRewriter test = - DomainExpansionRewriter.builder() - .config(QueryFilterRewriterConfiguration.ExpansionRewriterConfiguration.DEFAULT) - .build(); + DomainExpansionRewriter test = getTestRewriter(); TermsQueryBuilder notTheFieldQuery = QueryBuilders.termsQuery("notTheField", parentUrn); assertEquals( diff --git a/metadata-io/src/test/java/com/linkedin/metadata/search/utils/ESAccessControlUtilTest.java b/metadata-io/src/test/java/com/linkedin/metadata/search/utils/ESAccessControlUtilTest.java index b3dcaf174ed38d..12eb468fcc61a2 100644 --- a/metadata-io/src/test/java/com/linkedin/metadata/search/utils/ESAccessControlUtilTest.java +++ b/metadata-io/src/test/java/com/linkedin/metadata/search/utils/ESAccessControlUtilTest.java @@ -97,6 +97,7 @@ public class ESAccessControlUtilTest { null, null, null, + null, null); private static final String VIEW_PRIVILEGE = "VIEW_ENTITY_PAGE"; @@ -106,6 +107,18 @@ public class ESAccessControlUtilTest { private static final Urn RESTRICTED_RESULT_URN = UrnUtils.getUrn("urn:li:restricted:(urn:li:dataPlatform:hive,SampleHiveDataset,PROD)"); + private static final String PREFIX_MATCH = + "urn:li:dataset:(urn:li:dataPlatform:snowflake,long_tail_companions.adoption.human"; + private static final Urn PREFIX_MATCH_URN = + UrnUtils.getUrn( + "urn:li:dataset:(urn:li:dataPlatform:snowflake,long_tail_companions.adoption.humans,PROD)"); + private static final Urn PREFIX_NO_MATCH_URN = + UrnUtils.getUrn( + "urn:li:dataset:(urn:li:dataPlatform:snowflake,long_tail_companions.adoption.meta_humans,PROD)"); + private static final Urn RESTRICTED_PREFIX_NO_MATCH_URN = + UrnUtils.getUrn( + "urn:li:restricted:(urn:li:dataPlatform:snowflake,long_tail_companions.adoption.meta_humans,PROD)"); + /** Comprehensive list of policy variations */ private static final Map TEST_POLICIES = ImmutableMap.builder() @@ -251,6 +264,30 @@ public class ESAccessControlUtilTest { .setValues( new StringArray( List.of(DOMAIN_A.toString()))))))))) + .put( + "urnPrefixAllUsers", + new DataHubPolicyInfo() + .setDisplayName("") + .setState(PoliciesConfig.ACTIVE_POLICY_STATE) + .setType(PoliciesConfig.METADATA_POLICY_TYPE) + .setActors( + new DataHubActorFilter() + .setAllUsers(true) + .setGroups(new UrnArray()) + .setUsers(new UrnArray())) + .setPrivileges(new StringArray(List.of(VIEW_PRIVILEGE))) + .setResources( + new DataHubResourceFilter() + .setFilter( + new PolicyMatchFilter() + .setCriteria( + new PolicyMatchCriterionArray( + List.of( + new PolicyMatchCriterion() + .setField("URN") + .setCondition(PolicyMatchCondition.STARTS_WITH) + .setValues( + new StringArray(List.of(PREFIX_MATCH))))))))) .build(); /** User A is a technical owner of the result User B has no ownership */ @@ -264,7 +301,7 @@ public void testAllUsersRestrictions() throws RemoteInvocationException, URISynt // USER A OperationContext userAContext = - sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("allUsers"))); + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("allUsers"))); SearchResult result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -272,20 +309,18 @@ public void testAllUsersRestrictions() throws RemoteInvocationException, URISynt assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); result = mockSearchResult(); - ESAccessControlUtil.restrictSearchResult( - userAContext.withSearchFlags(flags -> flags.setIncludeRestricted(false)), result); + ESAccessControlUtil.restrictSearchResult(userAContext, result); assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); // USER B - OperationContext userBContext = sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("allUsers"))); + OperationContext userBContext = sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("allUsers"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( userBContext.withSearchFlags(flags -> flags.setIncludeRestricted(true)), result); assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); result = mockSearchResult(); - ESAccessControlUtil.restrictSearchResult( - userBContext.withSearchFlags(flags -> flags.setIncludeRestricted(false)), result); + ESAccessControlUtil.restrictSearchResult(userBContext, result); assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); } @@ -293,7 +328,7 @@ public void testAllUsersRestrictions() throws RemoteInvocationException, URISynt public void testSingeUserRestrictions() throws RemoteInvocationException, URISyntaxException { // USER A - OperationContext userAContext = sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("userA"))); + OperationContext userAContext = sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("userA"))); SearchResult result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -301,12 +336,11 @@ public void testSingeUserRestrictions() throws RemoteInvocationException, URISyn assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); result = mockSearchResult(); - ESAccessControlUtil.restrictSearchResult( - userAContext.withSearchFlags(flags -> flags.setIncludeRestricted(false)), result); + ESAccessControlUtil.restrictSearchResult(userAContext, result); assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); // USER B - OperationContext userBContext = sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("userA"))); + OperationContext userBContext = sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("userA"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -322,7 +356,7 @@ public void testAllGroupsRestrictions() throws RemoteInvocationException, URISyn // USER A OperationContext userAContext = - sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("allGroups"))); + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("allGroups"))); SearchResult result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -330,12 +364,12 @@ public void testAllGroupsRestrictions() throws RemoteInvocationException, URISyn assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); result = mockSearchResult(); - ESAccessControlUtil.restrictSearchResult( - userAContext.withSearchFlags(flags -> flags.setIncludeRestricted(false)), result); + ESAccessControlUtil.restrictSearchResult(userAContext, result); assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); // USER B (No Groups!) - OperationContext userBContext = sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("allGroups"))); + OperationContext userBContext = + sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("allGroups"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -352,7 +386,7 @@ public void testSingleGroupRestrictions() throws RemoteInvocationException, URIS // GROUP B Policy // USER A final OperationContext userAContext = - sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("groupB"))); + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("groupB"))); SearchResult result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -364,7 +398,7 @@ public void testSingleGroupRestrictions() throws RemoteInvocationException, URIS // USER B (No Groups!) final OperationContext userBContext = - sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("groupB"))); + sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("groupB"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -377,7 +411,7 @@ public void testSingleGroupRestrictions() throws RemoteInvocationException, URIS // Group C Policy // USER A final OperationContext userAGroupCContext = - sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("groupC"))); + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("groupC"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -385,13 +419,12 @@ public void testSingleGroupRestrictions() throws RemoteInvocationException, URIS assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); result = mockSearchResult(); - ESAccessControlUtil.restrictSearchResult( - userAGroupCContext.withSearchFlags(flags -> flags.setIncludeRestricted(false)), result); + ESAccessControlUtil.restrictSearchResult(userAGroupCContext, result); assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); // USER B (No Groups!) final OperationContext userBgroupCContext = - sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("groupC"))); + sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("groupC"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -407,7 +440,7 @@ public void testAnyOwnerRestrictions() throws RemoteInvocationException, URISynt // USER A OperationContext userAContext = - sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("anyOwner"))); + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("anyOwner"))); SearchResult result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -415,12 +448,11 @@ public void testAnyOwnerRestrictions() throws RemoteInvocationException, URISynt assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); result = mockSearchResult(); - ESAccessControlUtil.restrictSearchResult( - userAContext.withSearchFlags(flags -> flags.setIncludeRestricted(false)), result); + ESAccessControlUtil.restrictSearchResult(userAContext, result); assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); // USER B (not an owner) - OperationContext userBContext = sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("anyOwner"))); + OperationContext userBContext = sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("anyOwner"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -436,7 +468,7 @@ public void testBusinessOwnerRestrictions() throws RemoteInvocationException, UR // USER A final OperationContext userAContext = - sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("businessOwner"))); + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("businessOwner"))); SearchResult result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -448,7 +480,7 @@ public void testBusinessOwnerRestrictions() throws RemoteInvocationException, UR // USER B final OperationContext userBContext = - sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("businessOwner"))); + sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("businessOwner"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -464,7 +496,7 @@ public void testDomainRestrictions() throws RemoteInvocationException, URISyntax // USER A OperationContext userAContext = - sessionWithUserAGroupAandC(Set.of(TEST_POLICIES.get("domainA"))); + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("domainA"))); SearchResult result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( @@ -477,7 +509,7 @@ public void testDomainRestrictions() throws RemoteInvocationException, URISyntax assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); // USER B - OperationContext userBContext = sessionWithUserBNoGroup(Set.of(TEST_POLICIES.get("domainA"))); + OperationContext userBContext = sessionWithUserBNoGroup(List.of(TEST_POLICIES.get("domainA"))); result = mockSearchResult(); ESAccessControlUtil.restrictSearchResult( userBContext.withSearchFlags(flags -> flags.setIncludeRestricted(true)), result); @@ -489,6 +521,28 @@ public void testDomainRestrictions() throws RemoteInvocationException, URISyntax assertEquals(result.getEntities().get(0).getEntity(), UNRESTRICTED_RESULT_URN); } + @Test + public void testPrefixRestrictions() throws RemoteInvocationException, URISyntaxException { + + // USER A + OperationContext userAContext = + sessionWithUserAGroupAandC(List.of(TEST_POLICIES.get("urnPrefixAllUsers"))); + + SearchResult result = mockPrefixSearchResult(); + ESAccessControlUtil.restrictSearchResult( + userAContext.withSearchFlags(flags -> flags.setIncludeRestricted(true)), result); + assertEquals(result.getEntities().size(), 2); + assertEquals(result.getEntities().get(0).getEntity(), PREFIX_MATCH_URN); + assertEquals(result.getEntities().get(1).getEntity(), RESTRICTED_PREFIX_NO_MATCH_URN); + + result = mockPrefixSearchResult(); + ESAccessControlUtil.restrictSearchResult( + userAContext.withSearchFlags(flags -> flags.setIncludeRestricted(false)), result); + assertEquals(result.getEntities().size(), 2); + assertEquals(result.getEntities().get(0).getEntity(), PREFIX_MATCH_URN); + assertEquals(result.getEntities().get(1).getEntity(), PREFIX_NO_MATCH_URN); + } + private static RestrictedService mockRestrictedService() { RestrictedService mockRestrictedService = mock(RestrictedService.class); when(mockRestrictedService.encryptRestrictedUrn(any())) @@ -500,6 +554,23 @@ private static RestrictedService mockRestrictedService() { return mockRestrictedService; } + private static SearchResult mockPrefixSearchResult() { + SearchResult result = new SearchResult(); + result.setFrom(0); + result.setPageSize(10); + result.setNumEntities(1); + result.setEntities( + new SearchEntityArray( + new SearchEntity() + .setEntity(PREFIX_MATCH_URN) + .setMatchedFields(new MatchedFieldArray()), + new SearchEntity() + .setEntity(PREFIX_NO_MATCH_URN) + .setMatchedFields(new MatchedFieldArray()))); + result.setMetadata(mock(SearchResultMetadata.class)); + return result; + } + private static SearchResult mockSearchResult() { SearchResult result = new SearchResult(); result.setFrom(0); @@ -514,18 +585,18 @@ private static SearchResult mockSearchResult() { return result; } - private static OperationContext sessionWithUserAGroupAandC(Set policies) + private static OperationContext sessionWithUserAGroupAandC(List policies) throws RemoteInvocationException, URISyntaxException { return sessionWithUserGroups(USER_A_AUTH, policies, List.of(TEST_GROUP_A, TEST_GROUP_C)); } - private static OperationContext sessionWithUserBNoGroup(Set policies) + private static OperationContext sessionWithUserBNoGroup(List policies) throws RemoteInvocationException, URISyntaxException { return sessionWithUserGroups(USER_B_AUTH, policies, List.of()); } private static OperationContext sessionWithUserGroups( - Authentication auth, Set policies, List groups) + Authentication auth, List policies, List groups) throws RemoteInvocationException, URISyntaxException { Urn actorUrn = UrnUtils.getUrn(auth.getActor().toUrnStr()); Authorizer dataHubAuthorizer = @@ -538,7 +609,7 @@ public static class TestDataHubAuthorizer extends DataHubAuthorizer { public TestDataHubAuthorizer( @Nonnull OperationContext opContext, - @Nonnull Set policies, + @Nonnull List policies, @Nonnull Map> userGroups, @Nonnull Map>> resourceOwnerTypes) throws RemoteInvocationException, URISyntaxException { @@ -569,6 +640,7 @@ public TestDataHubAuthorizer( Collectors.groupingBy( Pair::getKey, Collectors.mapping(Pair::getValue, Collectors.toList()))); policyCache.putAll(byPrivilegeName); + policyCache.put(ALL, policies); } finally { readWriteLock.writeLock().unlock(); } diff --git a/metadata-jobs/mae-consumer-job/src/main/resources/logback.xml b/metadata-jobs/mae-consumer-job/src/main/resources/logback.xml index a9a30916c38c5c..474c210c4430b4 100644 --- a/metadata-jobs/mae-consumer-job/src/main/resources/logback.xml +++ b/metadata-jobs/mae-consumer-job/src/main/resources/logback.xml @@ -3,7 +3,7 @@ - %date{ISO8601} [%thread] %-5level %logger{36} - %msg%n + %date{ISO8601} [%thread] %-5level %logger{36} urn=%X{entityUrn:-none} aspect=%X{aspectName:-none} entityType=%X{entityType:-none} changeType=%X{changeType:-none} - %msg%n scanned from multiple locations diff --git a/metadata-jobs/mae-consumer/src/main/java/com/linkedin/metadata/kafka/MCLKafkaListener.java b/metadata-jobs/mae-consumer/src/main/java/com/linkedin/metadata/kafka/MCLKafkaListener.java index 70b452722abc76..a2d59023ba5ce2 100644 --- a/metadata-jobs/mae-consumer/src/main/java/com/linkedin/metadata/kafka/MCLKafkaListener.java +++ b/metadata-jobs/mae-consumer/src/main/java/com/linkedin/metadata/kafka/MCLKafkaListener.java @@ -1,18 +1,27 @@ package com.linkedin.metadata.kafka; +import static com.linkedin.metadata.Constants.MDC_ASPECT_NAME; +import static com.linkedin.metadata.Constants.MDC_CHANGE_TYPE; +import static com.linkedin.metadata.Constants.MDC_ENTITY_TYPE; +import static com.linkedin.metadata.Constants.MDC_ENTITY_URN; + import com.codahale.metrics.Histogram; import com.codahale.metrics.MetricRegistry; import com.codahale.metrics.Timer; +import com.linkedin.common.urn.Urn; +import com.linkedin.events.metadata.ChangeType; import com.linkedin.metadata.EventUtils; import com.linkedin.metadata.kafka.hook.MetadataChangeLogHook; import com.linkedin.metadata.utils.metrics.MetricUtils; import com.linkedin.mxe.MetadataChangeLog; import io.datahubproject.metadata.context.OperationContext; import java.util.List; +import java.util.Optional; import java.util.stream.Collectors; import lombok.extern.slf4j.Slf4j; import org.apache.avro.generic.GenericRecord; import org.apache.kafka.clients.consumer.ConsumerRecord; +import org.slf4j.MDC; @Slf4j public class MCLKafkaListener { @@ -66,17 +75,27 @@ public void consume(final ConsumerRecord consumerRecord) return; } + Urn entityUrn = event.getEntityUrn(); + String aspectName = event.hasAspectName() ? event.getAspectName() : null; + String entityType = event.hasEntityType() ? event.getEntityType() : null; + ChangeType changeType = event.hasChangeType() ? event.getChangeType() : null; + MDC.put(MDC_ENTITY_URN, Optional.ofNullable(entityUrn).map(Urn::toString).orElse("")); + MDC.put(MDC_ASPECT_NAME, aspectName); + MDC.put(MDC_ENTITY_TYPE, entityType); + MDC.put( + MDC_CHANGE_TYPE, Optional.ofNullable(changeType).map(ChangeType::toString).orElse("")); + log.info( "Invoking MCL hooks for consumer: {} urn: {}, aspect name: {}, entity type: {}, change type: {}", consumerGroupId, - event.getEntityUrn(), - event.hasAspectName() ? event.getAspectName() : null, - event.hasEntityType() ? event.getEntityType() : null, - event.hasChangeType() ? event.getChangeType() : null); + entityUrn, + aspectName, + entityType, + changeType); // Here - plug in additional "custom processor hooks" for (MetadataChangeLogHook hook : this.hooks) { - log.info( + log.debug( "Invoking MCL hook {} for urn: {}", hook.getClass().getSimpleName(), event.getEntityUrn()); @@ -98,6 +117,8 @@ public void consume(final ConsumerRecord consumerRecord) "Successfully completed MCL hooks for consumer: {} urn: {}", consumerGroupId, event.getEntityUrn()); + } finally { + MDC.clear(); } } } diff --git a/metadata-jobs/mae-consumer/src/test/java/com/linkedin/metadata/kafka/hook/spring/MCLSpringCommonTestConfiguration.java b/metadata-jobs/mae-consumer/src/test/java/com/linkedin/metadata/kafka/hook/spring/MCLSpringCommonTestConfiguration.java index b34bb5bd0e0a81..c5f08fa8dcc8b6 100644 --- a/metadata-jobs/mae-consumer/src/test/java/com/linkedin/metadata/kafka/hook/spring/MCLSpringCommonTestConfiguration.java +++ b/metadata-jobs/mae-consumer/src/test/java/com/linkedin/metadata/kafka/hook/spring/MCLSpringCommonTestConfiguration.java @@ -21,6 +21,7 @@ import io.datahubproject.metadata.context.OperationContextConfig; import io.datahubproject.metadata.context.RetrieverContext; import io.datahubproject.metadata.context.ServicesRegistryContext; +import io.datahubproject.metadata.context.ValidationContext; import io.datahubproject.test.metadata.context.TestOperationContexts; import org.apache.avro.generic.GenericRecord; import org.springframework.beans.factory.annotation.Qualifier; @@ -88,7 +89,8 @@ public OperationContext operationContext( entityRegistry, mock(ServicesRegistryContext.class), indexConvention, - mock(RetrieverContext.class)); + mock(RetrieverContext.class), + mock(ValidationContext.class)); } @MockBean SpringStandardPluginConfiguration springStandardPluginConfiguration; diff --git a/metadata-jobs/mce-consumer-job/src/main/resources/logback.xml b/metadata-jobs/mce-consumer-job/src/main/resources/logback.xml index f94088735fa297..f8674dba82916a 100644 --- a/metadata-jobs/mce-consumer-job/src/main/resources/logback.xml +++ b/metadata-jobs/mce-consumer-job/src/main/resources/logback.xml @@ -3,7 +3,7 @@ - %date{ISO8601} [%thread] %-5level %logger{36} - %msg%n + %date{ISO8601} [%thread] %-5level %logger{36} urn=%X{entityUrn:-none} aspect=%X{aspectName:-none} entityType=%X{entityType:-none} changeType=%X{changeType:-none} - %msg%n scanned from multiple locations diff --git a/metadata-jobs/mce-consumer/src/main/java/com/linkedin/metadata/kafka/MetadataChangeProposalsProcessor.java b/metadata-jobs/mce-consumer/src/main/java/com/linkedin/metadata/kafka/MetadataChangeProposalsProcessor.java index 2f3f35697e476c..22c2b4b9c04503 100644 --- a/metadata-jobs/mce-consumer/src/main/java/com/linkedin/metadata/kafka/MetadataChangeProposalsProcessor.java +++ b/metadata-jobs/mce-consumer/src/main/java/com/linkedin/metadata/kafka/MetadataChangeProposalsProcessor.java @@ -1,9 +1,16 @@ package com.linkedin.metadata.kafka; +import static com.linkedin.metadata.Constants.MDC_ASPECT_NAME; +import static com.linkedin.metadata.Constants.MDC_CHANGE_TYPE; +import static com.linkedin.metadata.Constants.MDC_ENTITY_TYPE; +import static com.linkedin.metadata.Constants.MDC_ENTITY_URN; + import com.codahale.metrics.Histogram; import com.codahale.metrics.MetricRegistry; import com.codahale.metrics.Timer; +import com.linkedin.common.urn.Urn; import com.linkedin.entity.client.SystemEntityClient; +import com.linkedin.events.metadata.ChangeType; import com.linkedin.gms.factory.config.ConfigurationProvider; import com.linkedin.gms.factory.entityclient.RestliEntityClientFactory; import com.linkedin.metadata.EventUtils; @@ -27,6 +34,7 @@ import org.apache.kafka.clients.consumer.ConsumerRecord; import org.apache.kafka.clients.producer.Producer; import org.apache.kafka.clients.producer.ProducerRecord; +import org.slf4j.MDC; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.beans.factory.annotation.Value; import org.springframework.context.annotation.Conditional; @@ -128,6 +136,17 @@ public void consume(final ConsumerRecord consumerRecord) MetadataChangeProposal event = new MetadataChangeProposal(); try { event = EventUtils.avroToPegasusMCP(record); + + Urn entityUrn = event.getEntityUrn(); + String aspectName = event.hasAspectName() ? event.getAspectName() : null; + String entityType = event.hasEntityType() ? event.getEntityType() : null; + ChangeType changeType = event.hasChangeType() ? event.getChangeType() : null; + MDC.put(MDC_ENTITY_URN, Optional.ofNullable(entityUrn).map(Urn::toString).orElse("")); + MDC.put(MDC_ASPECT_NAME, aspectName); + MDC.put(MDC_ENTITY_TYPE, entityType); + MDC.put( + MDC_CHANGE_TYPE, Optional.ofNullable(changeType).map(ChangeType::toString).orElse("")); + log.debug("MetadataChangeProposal {}", event); // TODO: Get this from the event itself. String urn = entityClient.ingestProposal(systemOperationContext, event, false); @@ -137,6 +156,8 @@ public void consume(final ConsumerRecord consumerRecord) log.error("Message: {}", record); sendFailedMCP(event, throwable); } + } finally { + MDC.clear(); } } diff --git a/metadata-models/src/main/resources/entity-registry.yml b/metadata-models/src/main/resources/entity-registry.yml index ec9c3fee1c404c..d3c6c8170f9324 100644 --- a/metadata-models/src/main/resources/entity-registry.yml +++ b/metadata-models/src/main/resources/entity-registry.yml @@ -248,6 +248,7 @@ entities: - structuredProperties - forms - testResults + - access - name: tag category: core keyAspect: tagKey diff --git a/metadata-operation-context/src/main/java/io/datahubproject/metadata/context/OperationContext.java b/metadata-operation-context/src/main/java/io/datahubproject/metadata/context/OperationContext.java index 61bf40f54817ee..9a058c526647c2 100644 --- a/metadata-operation-context/src/main/java/io/datahubproject/metadata/context/OperationContext.java +++ b/metadata-operation-context/src/main/java/io/datahubproject/metadata/context/OperationContext.java @@ -71,6 +71,7 @@ public static OperationContext asSession( .build()) .authorizationContext(AuthorizationContext.builder().authorizer(authorizer).build()) .requestContext(requestContext) + .validationContext(systemOperationContext.getValidationContext()) .build(sessionAuthentication); } @@ -122,7 +123,8 @@ public static OperationContext asSystem( @Nonnull EntityRegistry entityRegistry, @Nullable ServicesRegistryContext servicesRegistryContext, @Nullable IndexConvention indexConvention, - @Nullable RetrieverContext retrieverContext) { + @Nullable RetrieverContext retrieverContext, + @Nonnull ValidationContext validationContext) { return asSystem( config, systemAuthentication, @@ -130,6 +132,7 @@ public static OperationContext asSystem( servicesRegistryContext, indexConvention, retrieverContext, + validationContext, ObjectMapperContext.DEFAULT); } @@ -140,6 +143,7 @@ public static OperationContext asSystem( @Nullable ServicesRegistryContext servicesRegistryContext, @Nullable IndexConvention indexConvention, @Nullable RetrieverContext retrieverContext, + @Nonnull ValidationContext validationContext, @Nonnull ObjectMapperContext objectMapperContext) { ActorContext systemActorContext = @@ -161,6 +165,7 @@ public static OperationContext asSystem( .authorizationContext(AuthorizationContext.builder().authorizer(Authorizer.EMPTY).build()) .retrieverContext(retrieverContext) .objectMapperContext(objectMapperContext) + .validationContext(validationContext) .build(systemAuthentication); } @@ -174,6 +179,7 @@ public static OperationContext asSystem( @Nullable private final RequestContext requestContext; @Nullable private final RetrieverContext retrieverContext; @Nonnull private final ObjectMapperContext objectMapperContext; + @Nonnull private final ValidationContext validationContext; public OperationContext withSearchFlags( @Nonnull Function flagDefaults) { @@ -460,9 +466,8 @@ public OperationContext build(@Nonnull ActorContext sessionActor) { this.servicesRegistryContext, this.requestContext, this.retrieverContext, - this.objectMapperContext != null - ? this.objectMapperContext - : ObjectMapperContext.DEFAULT); + this.objectMapperContext != null ? this.objectMapperContext : ObjectMapperContext.DEFAULT, + this.validationContext); } private OperationContext build() { diff --git a/metadata-operation-context/src/main/java/io/datahubproject/metadata/context/ValidationContext.java b/metadata-operation-context/src/main/java/io/datahubproject/metadata/context/ValidationContext.java new file mode 100644 index 00000000000000..76560f087f22d8 --- /dev/null +++ b/metadata-operation-context/src/main/java/io/datahubproject/metadata/context/ValidationContext.java @@ -0,0 +1,18 @@ +package io.datahubproject.metadata.context; + +import java.util.Optional; +import lombok.Builder; +import lombok.Getter; + +/** Context holder for environment variables relevant to operations */ +@Builder +@Getter +public class ValidationContext implements ContextInterface { + // Uses alternate validation flow for MCP ingestion + private final boolean alternateValidation; + + @Override + public Optional getCacheKeyComponent() { + return Optional.of(alternateValidation ? 1 : 0); + } +} diff --git a/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java b/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java index cdcbb540eeda43..42de6b7398c616 100644 --- a/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java +++ b/metadata-operation-context/src/main/java/io/datahubproject/test/metadata/context/TestOperationContexts.java @@ -31,6 +31,7 @@ import io.datahubproject.metadata.context.RequestContext; import io.datahubproject.metadata.context.RetrieverContext; import io.datahubproject.metadata.context.ServicesRegistryContext; +import io.datahubproject.metadata.context.ValidationContext; import java.util.List; import java.util.Map; import java.util.Optional; @@ -58,6 +59,8 @@ public class TestOperationContexts { .build(); private static EntityRegistry defaultEntityRegistryInstance; + private static ValidationContext defaultValidationContext = + ValidationContext.builder().alternateValidation(false).build(); public static EntityRegistry defaultEntityRegistry() { if (defaultEntityRegistryInstance == null) { @@ -114,6 +117,11 @@ public static OperationContext systemContextNoSearchAuthorization() { return systemContextNoSearchAuthorization(null, null, null); } + public static OperationContext systemContextNoValidate() { + return systemContextNoSearchAuthorization( + null, null, null, () -> ValidationContext.builder().alternateValidation(true).build()); + } + public static OperationContext systemContextNoSearchAuthorization( @Nullable EntityRegistry entityRegistry, @Nullable IndexConvention indexConvention) { return systemContextNoSearchAuthorization(() -> entityRegistry, null, () -> indexConvention); @@ -160,9 +168,27 @@ public static OperationContext systemContextNoSearchAuthorization( entityRegistrySupplier, retrieverContextSupplier, indexConventionSupplier, + null, null); } + public static OperationContext systemContextNoSearchAuthorization( + @Nullable Supplier entityRegistrySupplier, + @Nullable Supplier retrieverContextSupplier, + @Nullable Supplier indexConventionSupplier, + @Nullable Supplier environmentContextSupplier) { + + return systemContext( + null, + null, + null, + entityRegistrySupplier, + retrieverContextSupplier, + indexConventionSupplier, + null, + environmentContextSupplier); + } + public static OperationContext systemContext( @Nullable Supplier configSupplier, @Nullable Supplier systemAuthSupplier, @@ -170,7 +196,8 @@ public static OperationContext systemContext( @Nullable Supplier entityRegistrySupplier, @Nullable Supplier retrieverContextSupplier, @Nullable Supplier indexConventionSupplier, - @Nullable Consumer postConstruct) { + @Nullable Consumer postConstruct, + @Nullable Supplier environmentContextSupplier) { OperationContextConfig config = Optional.ofNullable(configSupplier).map(Supplier::get).orElse(DEFAULT_OPCONTEXT_CONFIG); @@ -196,6 +223,11 @@ public static OperationContext systemContext( ServicesRegistryContext servicesRegistryContext = Optional.ofNullable(servicesRegistrySupplier).orElse(() -> null).get(); + ValidationContext validationContext = + Optional.ofNullable(environmentContextSupplier) + .map(Supplier::get) + .orElse(defaultValidationContext); + OperationContext operationContext = OperationContext.asSystem( config, @@ -203,7 +235,8 @@ public static OperationContext systemContext( entityRegistry, servicesRegistryContext, indexConvention, - retrieverContext); + retrieverContext, + validationContext); if (postConstruct != null) { postConstruct.accept(operationContext); diff --git a/metadata-operation-context/src/test/java/io/datahubproject/metadata/context/OperationContextTest.java b/metadata-operation-context/src/test/java/io/datahubproject/metadata/context/OperationContextTest.java index 6a5e9e04f7dda5..3e092e20127ee5 100644 --- a/metadata-operation-context/src/test/java/io/datahubproject/metadata/context/OperationContextTest.java +++ b/metadata-operation-context/src/test/java/io/datahubproject/metadata/context/OperationContextTest.java @@ -25,7 +25,8 @@ public void testSystemPrivilegeEscalation() { mock(EntityRegistry.class), mock(ServicesRegistryContext.class), null, - mock(RetrieverContext.class)); + mock(RetrieverContext.class), + mock(ValidationContext.class)); OperationContext opContext = systemOpContext.asSession(RequestContext.TEST, Authorizer.EMPTY, userAuth); diff --git a/metadata-service/auth-impl/src/test/java/com/datahub/authorization/DataHubAuthorizerTest.java b/metadata-service/auth-impl/src/test/java/com/datahub/authorization/DataHubAuthorizerTest.java index 985cfe48f6bcf6..4437682bfeb0a1 100644 --- a/metadata-service/auth-impl/src/test/java/com/datahub/authorization/DataHubAuthorizerTest.java +++ b/metadata-service/auth-impl/src/test/java/com/datahub/authorization/DataHubAuthorizerTest.java @@ -54,6 +54,7 @@ import io.datahubproject.metadata.context.OperationContextConfig; import io.datahubproject.metadata.context.RetrieverContext; import io.datahubproject.metadata.context.ServicesRegistryContext; +import io.datahubproject.metadata.context.ValidationContext; import java.util.Collections; import java.util.HashMap; import java.util.HashSet; @@ -318,7 +319,8 @@ public void setupTest() throws Exception { mock(EntityRegistry.class), mock(ServicesRegistryContext.class), mock(IndexConvention.class), - mock(RetrieverContext.class)); + mock(RetrieverContext.class), + mock(ValidationContext.class)); _dataHubAuthorizer = new DataHubAuthorizer( @@ -598,7 +600,6 @@ private DataHubPolicyInfo createDataHubPolicyInfoFor( dataHubPolicyInfo.setDisplayName("My Test Display"); dataHubPolicyInfo.setDescription("My test display!"); dataHubPolicyInfo.setEditable(true); - dataHubPolicyInfo.setActors(actorFilter); final DataHubResourceFilter resourceFilter = new DataHubResourceFilter(); diff --git a/metadata-service/configuration/src/main/java/com/linkedin/datahub/graphql/featureflags/FeatureFlags.java b/metadata-service/configuration/src/main/java/com/linkedin/datahub/graphql/featureflags/FeatureFlags.java index 167515a13c4da2..0c62bdc1963261 100644 --- a/metadata-service/configuration/src/main/java/com/linkedin/datahub/graphql/featureflags/FeatureFlags.java +++ b/metadata-service/configuration/src/main/java/com/linkedin/datahub/graphql/featureflags/FeatureFlags.java @@ -23,4 +23,5 @@ public class FeatureFlags { private boolean dataContractsEnabled = false; private boolean editableDatasetNameEnabled = false; private boolean showSeparateSiblings = false; + private boolean alternateMCPValidation = false; } diff --git a/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/MCPValidationConfig.java b/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/MCPValidationConfig.java new file mode 100644 index 00000000000000..622dbb010a5766 --- /dev/null +++ b/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/MCPValidationConfig.java @@ -0,0 +1,9 @@ +package com.linkedin.metadata.config; + +import com.linkedin.metadata.config.structuredProperties.extensions.ModelExtensionValidationConfiguration; +import lombok.Data; + +@Data +public class MCPValidationConfig { + private ModelExtensionValidationConfiguration extensions; +} diff --git a/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/MetadataChangeProposalConfig.java b/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/MetadataChangeProposalConfig.java index 4e8c18912c40ea..86b4a1b8562b76 100644 --- a/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/MetadataChangeProposalConfig.java +++ b/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/MetadataChangeProposalConfig.java @@ -8,6 +8,7 @@ public class MetadataChangeProposalConfig { ThrottlesConfig throttle; + MCPValidationConfig validation; SideEffectsConfig sideEffects; @Data diff --git a/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/structuredProperties/extensions/ModelExtensionValidationConfiguration.java b/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/structuredProperties/extensions/ModelExtensionValidationConfiguration.java new file mode 100644 index 00000000000000..71db3091540380 --- /dev/null +++ b/metadata-service/configuration/src/main/java/com/linkedin/metadata/config/structuredProperties/extensions/ModelExtensionValidationConfiguration.java @@ -0,0 +1,10 @@ +package com.linkedin.metadata.config.structuredProperties.extensions; + +import lombok.Data; +import lombok.extern.slf4j.Slf4j; + +@Data +@Slf4j +public class ModelExtensionValidationConfiguration { + private boolean enabled; +} diff --git a/metadata-service/configuration/src/main/resources/application.yaml b/metadata-service/configuration/src/main/resources/application.yaml index ef3ae76d81fae3..50170410cd635f 100644 --- a/metadata-service/configuration/src/main/resources/application.yaml +++ b/metadata-service/configuration/src/main/resources/application.yaml @@ -435,6 +435,7 @@ featureFlags: schemaFieldEntityFetchEnabled: ${SCHEMA_FIELD_ENTITY_FETCH_ENABLED:true} # Enables fetching for schema field entities from the database when we hydrate them on schema fields businessAttributeEntityEnabled: ${BUSINESS_ATTRIBUTE_ENTITY_ENABLED:false} # Enables business attribute entity which can be associated with field of dataset dataContractsEnabled: ${DATA_CONTRACTS_ENABLED:true} # Enables the Data Contracts feature (Tab) in the UI + alternateMCPValidation: ${ALTERNATE_MCP_VALIDATION:false} # Enables alternate MCP validation flow showSeparateSiblings: ${SHOW_SEPARATE_SIBLINGS:false} # If turned on, all siblings will be separated with no way to get to a "combined" sibling view editableDatasetNameEnabled: ${EDITABLE_DATASET_NAME_ENABLED:false} # Enables the ability to edit the dataset name in the UI @@ -539,6 +540,8 @@ businessAttribute: metadataChangeProposal: validation: ignoreUnknown: ${MCP_VALIDATION_IGNORE_UNKNOWN:true} + extensions: + enabled: ${MCP_VALIDATION_EXTENSIONS_ENABLED:false} sideEffects: schemaField: enabled: ${MCP_SIDE_EFFECTS_SCHEMA_FIELD_ENABLED:false} diff --git a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/common/CacheConfig.java b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/common/CacheConfig.java index 383716a80cc60a..545f8e087838d6 100644 --- a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/common/CacheConfig.java +++ b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/common/CacheConfig.java @@ -48,7 +48,7 @@ private Caffeine caffeineCacheBuilder() { return Caffeine.newBuilder() .initialCapacity(100) .maximumSize(cacheMaxSize) - .expireAfterAccess(cacheTtlSeconds, TimeUnit.SECONDS) + .expireAfterWrite(cacheTtlSeconds, TimeUnit.SECONDS) .recordStats(); } @@ -86,10 +86,7 @@ public CacheManager hazelcastCacheManager( @Bean @ConditionalOnProperty(name = "searchService.cacheImplementation", havingValue = "hazelcast") public MapConfig defaultMapConfig() { - // TODO: This setting is equivalent to expireAfterAccess, refreshes timer after a get, put, - // containsKey etc. - // is this behavior what we actually desire? Should we change it now? - MapConfig mapConfig = new MapConfig().setMaxIdleSeconds(cacheTtlSeconds); + MapConfig mapConfig = new MapConfig().setTimeToLiveSeconds(cacheTtlSeconds); EvictionConfig evictionConfig = new EvictionConfig() diff --git a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/context/SystemOperationContextFactory.java b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/context/SystemOperationContextFactory.java index b8c4796dd43122..f5235dc3682fce 100644 --- a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/context/SystemOperationContextFactory.java +++ b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/context/SystemOperationContextFactory.java @@ -16,6 +16,7 @@ import io.datahubproject.metadata.context.OperationContextConfig; import io.datahubproject.metadata.context.RetrieverContext; import io.datahubproject.metadata.context.ServicesRegistryContext; +import io.datahubproject.metadata.context.ValidationContext; import io.datahubproject.metadata.services.RestrictedService; import javax.annotation.Nonnull; import org.springframework.beans.factory.annotation.Qualifier; @@ -43,7 +44,8 @@ protected OperationContext javaSystemOperationContext( @Nonnull final GraphService graphService, @Nonnull final SearchService searchService, @Qualifier("baseElasticSearchComponents") - BaseElasticSearchComponentsFactory.BaseElasticSearchComponents components) { + BaseElasticSearchComponentsFactory.BaseElasticSearchComponents components, + @Nonnull final ConfigurationProvider configurationProvider) { EntityServiceAspectRetriever entityServiceAspectRetriever = EntityServiceAspectRetriever.builder() @@ -68,6 +70,10 @@ protected OperationContext javaSystemOperationContext( .aspectRetriever(entityServiceAspectRetriever) .graphRetriever(systemGraphRetriever) .searchRetriever(searchServiceSearchRetriever) + .build(), + ValidationContext.builder() + .alternateValidation( + configurationProvider.getFeatureFlags().isAlternateMCPValidation()) .build()); entityServiceAspectRetriever.setSystemOperationContext(systemOperationContext); @@ -95,7 +101,8 @@ protected OperationContext restliSystemOperationContext( @Nonnull final GraphService graphService, @Nonnull final SearchService searchService, @Qualifier("baseElasticSearchComponents") - BaseElasticSearchComponentsFactory.BaseElasticSearchComponents components) { + BaseElasticSearchComponentsFactory.BaseElasticSearchComponents components, + @Nonnull final ConfigurationProvider configurationProvider) { EntityClientAspectRetriever entityServiceAspectRetriever = EntityClientAspectRetriever.builder().entityClient(systemEntityClient).build(); @@ -117,6 +124,10 @@ protected OperationContext restliSystemOperationContext( .aspectRetriever(entityServiceAspectRetriever) .graphRetriever(systemGraphRetriever) .searchRetriever(searchServiceSearchRetriever) + .build(), + ValidationContext.builder() + .alternateValidation( + configurationProvider.getFeatureFlags().isAlternateMCPValidation()) .build()); entityServiceAspectRetriever.setSystemOperationContext(systemOperationContext); diff --git a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/plugins/SpringStandardPluginConfiguration.java b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/plugins/SpringStandardPluginConfiguration.java index 943b1c7184a60d..b2db0857a6a5c8 100644 --- a/metadata-service/factories/src/main/java/com/linkedin/gms/factory/plugins/SpringStandardPluginConfiguration.java +++ b/metadata-service/factories/src/main/java/com/linkedin/gms/factory/plugins/SpringStandardPluginConfiguration.java @@ -45,7 +45,7 @@ public MutationHook ignoreUnknownMutator() { AspectPluginConfig.builder() .className(IgnoreUnknownMutator.class.getName()) .enabled(ignoreUnknownEnabled && !extensionsEnabled) - .supportedOperations(List.of("CREATE", "CREATE_ENTITY", "UPSERT")) + .supportedOperations(List.of("*")) .supportedEntityAspectNames( List.of( AspectPluginConfig.EntityAspectName.builder() diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java index 83c23f3552409b..e281a39f764e53 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v2/models/GenericEntityV2.java @@ -3,6 +3,7 @@ import com.datahub.util.RecordUtils; import com.fasterxml.jackson.annotation.JsonInclude; import com.fasterxml.jackson.annotation.JsonProperty; +import com.fasterxml.jackson.databind.JsonNode; import com.fasterxml.jackson.databind.ObjectMapper; import com.linkedin.data.template.RecordTemplate; import com.linkedin.mxe.SystemMetadata; @@ -37,29 +38,42 @@ public static class GenericEntityV2Builder { public GenericEntityV2 build( ObjectMapper objectMapper, Map> aspects) { + return build(objectMapper, aspects, false); + } + + public GenericEntityV2 build( + ObjectMapper objectMapper, + Map> aspects, + boolean isAsyncAlternateValidation) { Map jsonObjectMap = aspects.entrySet().stream() .map( e -> { try { - Map valueMap = + Map valueMap = Map.of( "value", objectMapper.readTree( RecordUtils.toJsonString(e.getValue().getFirst()) .getBytes(StandardCharsets.UTF_8))); + Object aspectValue = + isAsyncAlternateValidation + ? valueMap.get("value").get("value") + : valueMap.get("value"); + if (e.getValue().getSecond() != null) { return Map.entry( e.getKey(), new GenericAspectV2( Map.of( - "systemMetadata", e.getValue().getSecond(), - "value", valueMap.get("value")))); + "systemMetadata", + e.getValue().getSecond(), + "value", + aspectValue))); } else { return Map.entry( - e.getKey(), - new GenericAspectV2(Map.of("value", valueMap.get("value")))); + e.getKey(), new GenericAspectV2(Map.of("value", aspectValue))); } } catch (IOException ex) { throw new RuntimeException(ex); diff --git a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java index 54d6ac2c1736f4..dbbfc117a8ab30 100644 --- a/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java +++ b/metadata-service/openapi-servlet/models/src/main/java/io/datahubproject/openapi/v3/models/GenericEntityV3.java @@ -29,6 +29,10 @@ public GenericEntityV3(Map m) { super(m); } + public String getUrn() { + return (String) get("urn"); + } + @Override public Map getAspects() { return this.entrySet().stream() @@ -40,17 +44,31 @@ public static class GenericEntityV3Builder { public GenericEntityV3 build( ObjectMapper objectMapper, @Nonnull Urn urn, Map aspects) { + return build(objectMapper, urn, aspects, false); + } + + public GenericEntityV3 build( + ObjectMapper objectMapper, + @Nonnull Urn urn, + Map aspects, + boolean isAsyncAlternateValidation) { Map jsonObjectMap = aspects.entrySet().stream() .map( entry -> { try { String aspectName = entry.getKey(); - Map aspectValue = + Map aspectValueMap = objectMapper.readValue( RecordUtils.toJsonString(entry.getValue().getAspect()) .getBytes(StandardCharsets.UTF_8), new TypeReference<>() {}); + + Map aspectValue = + isAsyncAlternateValidation + ? (Map) aspectValueMap.get("value") + : aspectValueMap; + Map systemMetadata = entry.getValue().getSystemMetadata() != null ? objectMapper.convertValue( diff --git a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java index 7427f293c848f5..ee23cced7f468b 100644 --- a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java +++ b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/controller/GenericEntitiesController.java @@ -163,7 +163,9 @@ protected abstract List buildEntityVersionedAspectList( throws URISyntaxException; protected abstract List buildEntityList( - Set ingestResults, boolean withSystemMetadata); + Collection ingestResults, + boolean withSystemMetadata, + boolean isAsyncAlternateValidation); protected abstract E buildGenericEntity( @Nonnull String aspectName, @@ -510,12 +512,14 @@ public ResponseEntity> createEntity( } AspectsBatch batch = toMCPBatch(opContext, jsonEntityList, authentication.getActor()); - Set results = entityService.ingestProposal(opContext, batch, async); + List results = entityService.ingestProposal(opContext, batch, async); if (!async) { - return ResponseEntity.ok(buildEntityList(results, withSystemMetadata)); + return ResponseEntity.ok(buildEntityList(results, withSystemMetadata, false)); } else { - return ResponseEntity.accepted().body(buildEntityList(results, withSystemMetadata)); + boolean isAsyncAlternateValidation = opContext.getValidationContext().isAlternateValidation(); + return ResponseEntity.accepted() + .body(buildEntityList(results, withSystemMetadata, isAsyncAlternateValidation)); } } @@ -602,7 +606,7 @@ public ResponseEntity createAspect( jsonAspect, authentication.getActor()); - Set results = + List results = entityService.ingestProposal( opContext, AspectsBatchImpl.builder() diff --git a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java index 7bec052a9fd5d2..d55f2fd1c2a04e 100644 --- a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java +++ b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v2/controller/EntityController.java @@ -23,11 +23,14 @@ import com.linkedin.metadata.entity.UpdateAspectResult; import com.linkedin.metadata.entity.ebean.batch.AspectsBatchImpl; import com.linkedin.metadata.entity.ebean.batch.ChangeItemImpl; +import com.linkedin.metadata.entity.ebean.batch.ProposedItem; import com.linkedin.metadata.models.AspectSpec; import com.linkedin.metadata.search.SearchEntity; import com.linkedin.metadata.search.SearchEntityArray; import com.linkedin.metadata.utils.AuditStampUtils; import com.linkedin.metadata.utils.GenericRecordUtils; +import com.linkedin.metadata.utils.SystemMetadataUtils; +import com.linkedin.mxe.MetadataChangeProposal; import com.linkedin.mxe.SystemMetadata; import com.linkedin.util.Pair; import io.datahubproject.metadata.context.OperationContext; @@ -161,7 +164,25 @@ protected AspectsBatch toMCPBatch( AspectSpec aspectSpec = lookupAspectSpec(entityUrn, aspect.getKey()).get(); - if (aspectSpec != null) { + if (opContext.getValidationContext().isAlternateValidation()) { + ProposedItem.ProposedItemBuilder builder = + ProposedItem.builder() + .metadataChangeProposal( + new MetadataChangeProposal() + .setEntityUrn(entityUrn) + .setAspectName(aspect.getKey()) + .setEntityType(entityUrn.getEntityType()) + .setChangeType(ChangeType.UPSERT) + .setAspect(GenericRecordUtils.serializeAspect(aspect.getValue())) + .setSystemMetadata(SystemMetadataUtils.createDefaultSystemMetadata())) + .auditStamp(AuditStampUtils.createAuditStamp(actor.toUrnStr())) + .entitySpec( + opContext + .getAspectRetriever() + .getEntityRegistry() + .getEntitySpec(entityUrn.getEntityType())); + items.add(builder.build()); + } else if (aspectSpec != null) { ChangeItemImpl.ChangeItemImplBuilder builder = ChangeItemImpl.builder() .urn(entityUrn) @@ -181,7 +202,7 @@ protected AspectsBatch toMCPBatch( objectMapper.writeValueAsString(aspect.getValue().get("systemMetadata")))); } - items.add(builder.build(opContext.getRetrieverContext().get().getAspectRetriever())); + items.add(builder.build(opContext.getAspectRetrieverOpt().get())); } } } @@ -263,7 +284,9 @@ private List toRecordTemplates( @Override protected List buildEntityList( - Set ingestResults, boolean withSystemMetadata) { + Collection ingestResults, + boolean withSystemMetadata, + boolean isAsyncAlternateValidation) { List responseList = new LinkedList<>(); Map> entityMap = @@ -282,7 +305,7 @@ protected List buildEntityList( responseList.add( GenericEntityV2.builder() .urn(urnAspects.getKey().toString()) - .build(objectMapper, aspectsMap)); + .build(objectMapper, aspectsMap, isAsyncAlternateValidation)); } return responseList; } diff --git a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java index 55cf310be3438d..64046b23db7beb 100644 --- a/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java +++ b/metadata-service/openapi-servlet/src/main/java/io/datahubproject/openapi/v3/controller/EntityController.java @@ -13,6 +13,8 @@ import com.fasterxml.jackson.databind.node.ObjectNode; import com.linkedin.common.urn.Urn; import com.linkedin.data.ByteString; +import com.linkedin.data.template.SetMode; +import com.linkedin.data.template.StringMap; import com.linkedin.entity.EnvelopedAspect; import com.linkedin.events.metadata.ChangeType; import com.linkedin.metadata.aspect.AspectRetriever; @@ -24,6 +26,7 @@ import com.linkedin.metadata.entity.UpdateAspectResult; import com.linkedin.metadata.entity.ebean.batch.AspectsBatchImpl; import com.linkedin.metadata.entity.ebean.batch.ChangeItemImpl; +import com.linkedin.metadata.entity.ebean.batch.ProposedItem; import com.linkedin.metadata.models.AspectSpec; import com.linkedin.metadata.models.EntitySpec; import com.linkedin.metadata.query.filter.SortCriterion; @@ -34,6 +37,7 @@ import com.linkedin.metadata.utils.AuditStampUtils; import com.linkedin.metadata.utils.GenericRecordUtils; import com.linkedin.metadata.utils.SearchUtil; +import com.linkedin.mxe.MetadataChangeProposal; import com.linkedin.mxe.SystemMetadata; import io.datahubproject.metadata.context.OperationContext; import io.datahubproject.metadata.context.RequestContext; @@ -281,7 +285,9 @@ private Map toAspectItemMap( @Override protected List buildEntityList( - Set ingestResults, boolean withSystemMetadata) { + Collection ingestResults, + boolean withSystemMetadata, + boolean isAsyncAlternateValidation) { List responseList = new LinkedList<>(); Map> entityMap = @@ -304,7 +310,8 @@ protected List buildEntityList( .build())) .collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)); responseList.add( - GenericEntityV3.builder().build(objectMapper, urnAspects.getKey(), aspectsMap)); + GenericEntityV3.builder() + .build(objectMapper, urnAspects.getKey(), aspectsMap, isAsyncAlternateValidation)); } return responseList; } @@ -442,23 +449,42 @@ protected AspectsBatch toMCPBatch( } AspectSpec aspectSpec = lookupAspectSpec(entityUrn, aspect.getKey()).orElse(null); + SystemMetadata systemMetadata = null; + if (aspect.getValue().has("systemMetadata")) { + systemMetadata = + EntityApiUtils.parseSystemMetadata( + objectMapper.writeValueAsString(aspect.getValue().get("systemMetadata"))); + ((ObjectNode) aspect.getValue()).remove("systemMetadata"); + } + Map headers = null; + if (aspect.getValue().has("headers")) { + headers = + objectMapper.convertValue( + aspect.getValue().get("headers"), new TypeReference<>() {}); + } - if (aspectSpec != null) { - - SystemMetadata systemMetadata = null; - if (aspect.getValue().has("systemMetadata")) { - systemMetadata = - EntityApiUtils.parseSystemMetadata( - objectMapper.writeValueAsString(aspect.getValue().get("systemMetadata"))); - ((ObjectNode) aspect.getValue()).remove("systemMetadata"); - } - Map headers = null; - if (aspect.getValue().has("headers")) { - headers = - objectMapper.convertValue( - aspect.getValue().get("headers"), new TypeReference<>() {}); - } - + if (opContext.getValidationContext().isAlternateValidation()) { + ProposedItem.ProposedItemBuilder builder = + ProposedItem.builder() + .metadataChangeProposal( + new MetadataChangeProposal() + .setEntityUrn(entityUrn) + .setAspectName(aspect.getKey()) + .setEntityType(entityUrn.getEntityType()) + .setChangeType(ChangeType.UPSERT) + .setAspect(GenericRecordUtils.serializeAspect(aspect.getValue())) + .setHeaders( + headers != null ? new StringMap(headers) : null, + SetMode.IGNORE_NULL) + .setSystemMetadata(systemMetadata, SetMode.IGNORE_NULL)) + .auditStamp(AuditStampUtils.createAuditStamp(actor.toUrnStr())) + .entitySpec( + opContext + .getAspectRetriever() + .getEntityRegistry() + .getEntitySpec(entityUrn.getEntityType())); + items.add(builder.build()); + } else if (aspectSpec != null) { ChangeItemImpl.ChangeItemImplBuilder builder = ChangeItemImpl.builder() .urn(entityUrn) diff --git a/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java b/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java index 5f086e79a387a8..cf6e571cb8cbeb 100644 --- a/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java +++ b/metadata-service/restli-client-api/src/main/java/com/linkedin/entity/client/EntityClient.java @@ -36,6 +36,7 @@ import java.util.Collection; import java.util.List; import java.util.Map; +import java.util.Objects; import java.util.Optional; import java.util.Set; import javax.annotation.Nonnull; @@ -523,12 +524,16 @@ default String ingestProposal( * * @return the urn string ingested */ + @Nullable default String ingestProposal( @Nonnull OperationContext opContext, @Nonnull final MetadataChangeProposal metadataChangeProposal, final boolean async) throws RemoteInvocationException { - return batchIngestProposals(opContext, List.of(metadataChangeProposal), async).get(0); + return batchIngestProposals(opContext, List.of(metadataChangeProposal), async).stream() + .filter(Objects::nonNull) + .findFirst() + .orElse(null); } @Deprecated diff --git a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java index 12422044bc8ef9..63b607f8c99674 100644 --- a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java +++ b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/AspectResource.java @@ -33,6 +33,7 @@ import com.linkedin.metadata.resources.restli.RestliUtils; import com.linkedin.metadata.search.EntitySearchService; import com.linkedin.metadata.timeseries.TimeseriesAspectService; +import com.linkedin.mxe.GenericAspect; import com.linkedin.mxe.MetadataChangeProposal; import com.linkedin.mxe.SystemMetadata; import com.linkedin.parseq.Task; @@ -51,6 +52,7 @@ import io.datahubproject.metadata.context.RequestContext; import io.opentelemetry.extension.annotations.WithSpan; import java.net.URISyntaxException; +import java.nio.charset.StandardCharsets; import java.time.Clock; import java.util.Arrays; import java.util.List; @@ -61,6 +63,7 @@ import javax.inject.Inject; import javax.inject.Named; import lombok.extern.slf4j.Slf4j; +import org.apache.commons.lang3.StringUtils; /** Single unified resource for fetching, updating, searching, & browsing DataHub entities */ @Slf4j @@ -85,6 +88,8 @@ public class AspectResource extends CollectionResourceTaskTemplate _entityService; @@ -238,16 +243,13 @@ public Task ingestProposal( @ActionParam(PARAM_PROPOSAL) @Nonnull MetadataChangeProposal metadataChangeProposal, @ActionParam(PARAM_ASYNC) @Optional(UNSET) String async) throws URISyntaxException { - log.info("INGEST PROPOSAL proposal: {}", metadataChangeProposal); - - final boolean asyncBool; - if (UNSET.equals(async)) { - asyncBool = Boolean.parseBoolean(System.getenv(ASYNC_INGEST_DEFAULT_NAME)); - } else { - asyncBool = Boolean.parseBoolean(async); - } - - return ingestProposals(List.of(metadataChangeProposal), asyncBool); + final boolean asyncBool; + if (UNSET.equals(async)) { + asyncBool = Boolean.parseBoolean(System.getenv(ASYNC_INGEST_DEFAULT_NAME)); + } else { + asyncBool = Boolean.parseBoolean(async); + } + return ingestProposals(List.of(metadataChangeProposal), asyncBool); } @Action(name = ACTION_INGEST_PROPOSAL_BATCH) @@ -257,8 +259,6 @@ public Task ingestProposalBatch( @ActionParam(PARAM_PROPOSALS) @Nonnull MetadataChangeProposal[] metadataChangeProposals, @ActionParam(PARAM_ASYNC) @Optional(UNSET) String async) throws URISyntaxException { - log.info("INGEST PROPOSAL BATCH proposals: {}", Arrays.asList(metadataChangeProposals)); - final boolean asyncBool; if (UNSET.equals(async)) { asyncBool = Boolean.parseBoolean(System.getenv(ASYNC_INGEST_DEFAULT_NAME)); @@ -303,10 +303,21 @@ private Task ingestProposals( log.debug("Proposals: {}", metadataChangeProposals); try { final AspectsBatch batch = AspectsBatchImpl.builder() - .mcps(metadataChangeProposals, auditStamp, opContext.getRetrieverContext().get()) + .mcps(metadataChangeProposals, auditStamp, opContext.getRetrieverContext().get(), + opContext.getValidationContext().isAlternateValidation()) .build(); - Set results = + batch.getMCPItems().forEach(item -> + log.info( + "INGEST PROPOSAL content: urn: {}, async: {}, value: {}", + item.getUrn(), + asyncBool, + StringUtils.abbreviate(java.util.Optional.ofNullable(item.getMetadataChangeProposal()) + .map(MetadataChangeProposal::getAspect) + .orElse(new GenericAspect()) + .getValue().asString(StandardCharsets.UTF_8), MAX_LOG_WIDTH))); + + List results = _entityService.ingestProposal(opContext, batch, asyncBool); for (IngestResult result : results) { diff --git a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/EntityResource.java b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/EntityResource.java index 9755a76848adfc..30aa3ffa578c17 100644 --- a/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/EntityResource.java +++ b/metadata-service/restli-servlet-impl/src/main/java/com/linkedin/metadata/resources/entity/EntityResource.java @@ -927,7 +927,7 @@ public Task deleteEntity( opContext.getEntityRegistry(), urn.getEntityType()); if (aspectName != null && !timeseriesAspectNames.contains(aspectName)) { throw new UnsupportedOperationException( - String.format("Not supported for non-timeseries aspect '{}'.", aspectName)); + String.format("Not supported for non-timeseries aspect %s.", aspectName)); } List timeseriesAspectsToDelete = (aspectName == null) ? timeseriesAspectNames : ImmutableList.of(aspectName); diff --git a/metadata-service/restli-servlet-impl/src/test/java/com/linkedin/metadata/resources/entity/AspectResourceTest.java b/metadata-service/restli-servlet-impl/src/test/java/com/linkedin/metadata/resources/entity/AspectResourceTest.java index 9872f45648d7b4..82db3d88b9e12d 100644 --- a/metadata-service/restli-servlet-impl/src/test/java/com/linkedin/metadata/resources/entity/AspectResourceTest.java +++ b/metadata-service/restli-servlet-impl/src/test/java/com/linkedin/metadata/resources/entity/AspectResourceTest.java @@ -27,6 +27,7 @@ import com.linkedin.metadata.models.registry.EntityRegistry; import com.linkedin.metadata.service.UpdateIndicesService; import com.linkedin.metadata.utils.GenericRecordUtils; +import com.linkedin.mxe.GenericAspect; import com.linkedin.mxe.MetadataChangeLog; import com.linkedin.mxe.MetadataChangeProposal; import java.net.URISyntaxException; @@ -136,4 +137,31 @@ public void testAsyncDefaultAspects() throws URISyntaxException { .produceMetadataChangeLog(eq(urn), any(AspectSpec.class), any(MetadataChangeLog.class)); verifyNoMoreInteractions(producer); } + + @Test + public void testNoValidateAsync() throws URISyntaxException { + OperationContext noValidateOpContext = TestOperationContexts.systemContextNoValidate(); + aspectResource.setSystemOperationContext(noValidateOpContext); + reset(producer, aspectDao); + MetadataChangeProposal mcp = new MetadataChangeProposal(); + mcp.setEntityType(DATASET_ENTITY_NAME); + Urn urn = new DatasetUrn(new DataPlatformUrn("platform"), "name", FabricType.PROD); + mcp.setEntityUrn(urn); + GenericAspect properties = GenericRecordUtils.serializeAspect(new DatasetProperties().setName("name")); + mcp.setAspect(GenericRecordUtils.serializeAspect(properties)); + mcp.setAspectName("notAnAspect"); + mcp.setChangeType(ChangeType.UPSERT); + mcp.setSystemMetadata(new SystemMetadata()); + + Authentication mockAuthentication = mock(Authentication.class); + AuthenticationContext.setAuthentication(mockAuthentication); + Actor actor = new Actor(ActorType.USER, "user"); + when(mockAuthentication.getActor()).thenReturn(actor); + aspectResource.ingestProposal(mcp, "true"); + verify(producer, times(1)).produceMetadataChangeProposal(urn, mcp); + verifyNoMoreInteractions(producer); + verifyNoMoreInteractions(aspectDao); + reset(producer, aspectDao); + aspectResource.setSystemOperationContext(opContext); + } } diff --git a/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java b/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java index 66f7ff50a36245..beb8bd3d090a5f 100644 --- a/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java +++ b/metadata-service/services/src/main/java/com/linkedin/metadata/entity/EntityService.java @@ -487,7 +487,7 @@ RollbackRunResult rollbackWithConditions( Map conditions, boolean hardDelete); - Set ingestProposal( + List ingestProposal( @Nonnull OperationContext opContext, AspectsBatch aspectsBatch, final boolean async); /** diff --git a/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java b/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java index 6638481c1d2794..fafca9b1139731 100644 --- a/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java +++ b/metadata-utils/src/main/java/com/linkedin/metadata/utils/GenericRecordUtils.java @@ -1,6 +1,7 @@ package com.linkedin.metadata.utils; import com.datahub.util.RecordUtils; +import com.fasterxml.jackson.databind.JsonNode; import com.linkedin.common.urn.Urn; import com.linkedin.data.ByteString; import com.linkedin.data.template.RecordTemplate; @@ -70,6 +71,14 @@ public static GenericAspect serializeAspect(@Nonnull String str) { return genericAspect; } + @Nonnull + public static GenericAspect serializeAspect(@Nonnull JsonNode json) { + GenericAspect genericAspect = new GenericAspect(); + genericAspect.setValue(ByteString.unsafeWrap(json.toString().getBytes(StandardCharsets.UTF_8))); + genericAspect.setContentType(GenericRecordUtils.JSON); + return genericAspect; + } + @Nonnull public static GenericPayload serializePayload(@Nonnull RecordTemplate payload) { GenericPayload genericPayload = new GenericPayload(); diff --git a/smoke-test/conftest.py b/smoke-test/conftest.py index 69a58cd766182e..6d148db9886a48 100644 --- a/smoke-test/conftest.py +++ b/smoke-test/conftest.py @@ -15,16 +15,19 @@ os.environ["DATAHUB_TELEMETRY_ENABLED"] = "false" +def build_auth_session(): + wait_for_healthcheck_util(requests) + return TestSessionWrapper(get_frontend_session()) + + @pytest.fixture(scope="session") def auth_session(): - wait_for_healthcheck_util(requests) - auth_session = TestSessionWrapper(get_frontend_session()) + auth_session = build_auth_session() yield auth_session auth_session.destroy() -@pytest.fixture(scope="session") -def graph_client(auth_session) -> DataHubGraph: +def build_graph_client(auth_session): print(auth_session.cookies) graph: DataHubGraph = DataHubGraph( config=DatahubClientConfig( @@ -34,6 +37,11 @@ def graph_client(auth_session) -> DataHubGraph: return graph +@pytest.fixture(scope="session") +def graph_client(auth_session) -> DataHubGraph: + return build_graph_client(auth_session) + + def pytest_sessionfinish(session, exitstatus): """whole test run finishes.""" send_message(exitstatus) diff --git a/smoke-test/cypress-dev.sh b/smoke-test/cypress-dev.sh index 3db81b11c67fa1..bb9b287cb654e2 100755 --- a/smoke-test/cypress-dev.sh +++ b/smoke-test/cypress-dev.sh @@ -16,7 +16,16 @@ set -x # set environment variables for the test source ./set-test-env-vars.sh -python -c 'from tests.cypress.integration_test import ingest_data; ingest_data()' +LOAD_DATA=$(cat < None: ) else: # we want to sleep for an additional period of time for Elastic writes buffer to clear - time.sleep(_ELASTIC_BUFFER_WRITES_TIME_IN_SEC) + time.sleep(ELASTICSEARCH_REFRESH_INTERVAL_SECONDS) diff --git a/smoke-test/tests/lineage/test_lineage.py b/smoke-test/tests/lineage/test_lineage.py index 8757741d1cb230..4a43fd591ae2e1 100644 --- a/smoke-test/tests/lineage/test_lineage.py +++ b/smoke-test/tests/lineage/test_lineage.py @@ -796,7 +796,7 @@ def test_expectation(self, graph: DataHubGraph) -> bool: expectation.impacted_entities[impacted_entity] ), f"Expected impacted entity paths to be {expectation.impacted_entities[impacted_entity]}, found {impacted_entity_paths}" except Exception: - breakpoint() + # breakpoint() raise # for i in range(len(impacted_entity_paths)): # assert impacted_entity_paths[i].path == expectation.impacted_entities[impacted_entity][i].path, f"Expected impacted entity paths to be {expectation.impacted_entities[impacted_entity][i].path}, found {impacted_entity_paths[i].path}" diff --git a/smoke-test/tests/platform_resources/test_platform_resource.py b/smoke-test/tests/platform_resources/test_platform_resource.py index 39d15f2e8dea6d..23a147bda695b3 100644 --- a/smoke-test/tests/platform_resources/test_platform_resource.py +++ b/smoke-test/tests/platform_resources/test_platform_resource.py @@ -11,17 +11,11 @@ PlatformResourceSearchFields, ) -from tests.utils import wait_for_healthcheck_util, wait_for_writes_to_sync +from tests.utils import wait_for_writes_to_sync logger = logging.getLogger(__name__) -@pytest.fixture(scope="module") -def wait_for_healthchecks(auth_session): - wait_for_healthcheck_util(auth_session) - yield - - def generate_random_id(length=8): return "".join(random.choices(string.ascii_lowercase + string.digits, k=length)) diff --git a/smoke-test/tests/restli/__init__.py b/smoke-test/tests/restli/__init__.py new file mode 100644 index 00000000000000..e69de29bb2d1d6 diff --git a/smoke-test/tests/restli/restli_test.py b/smoke-test/tests/restli/restli_test.py new file mode 100644 index 00000000000000..7e9cf6aa76235c --- /dev/null +++ b/smoke-test/tests/restli/restli_test.py @@ -0,0 +1,98 @@ +import dataclasses +import json +import time +from typing import List + +import pytest +from datahub.emitter.aspect import JSON_CONTENT_TYPE +from datahub.emitter.mce_builder import make_dashboard_urn +from datahub.emitter.mcp import MetadataChangeProposalWrapper +from datahub.emitter.serialization_helper import pre_json_transform +from datahub.metadata.schema_classes import ( + AuditStampClass, + ChangeAuditStampsClass, + DashboardInfoClass, + GenericAspectClass, + MetadataChangeProposalClass, +) +from datahub.utilities.urns.urn import guess_entity_type + +from tests.utils import delete_urns + +generated_urns: List[str] = [] + + +@dataclasses.dataclass +class MetadataChangeProposalInvalidWrapper(MetadataChangeProposalWrapper): + @staticmethod + def _make_generic_aspect(dict) -> GenericAspectClass: + serialized = json.dumps(pre_json_transform(dict)) + return GenericAspectClass( + value=serialized.encode(), + contentType=JSON_CONTENT_TYPE, + ) + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + def __post_init__(self) -> None: + if self.entityUrn: + self.entityType = guess_entity_type(self.entityUrn) + + def make_mcp(self) -> MetadataChangeProposalClass: + serializedAspect = None + if self.aspect is not None: + serializedAspect = ( + MetadataChangeProposalInvalidWrapper._make_generic_aspect(self.aspect) + ) + + mcp = self._make_mcp_without_aspects() + mcp.aspect = serializedAspect + return mcp + + +@pytest.fixture(scope="module") +def ingest_cleanup_data(auth_session, graph_client, request): + yield + delete_urns(graph_client, generated_urns) + + +def test_gms_ignore_unknown_dashboard_info(graph_client): + dashboard_urn = make_dashboard_urn(platform="looker", name="test-ignore-unknown") + generated_urns.extend([dashboard_urn]) + + audit_stamp = pre_json_transform( + ChangeAuditStampsClass( + created=AuditStampClass( + time=int(time.time() * 1000), + actor="urn:li:corpuser:datahub", + ) + ).to_obj() + ) + + invalid_dashboard_info = { + "title": "Ignore Unknown Title", + "description": "Ignore Unknown Description", + "lastModified": audit_stamp, + "notAValidField": "invalid field value", + } + mcpw = MetadataChangeProposalInvalidWrapper( + entityUrn=dashboard_urn, + aspectName="dashboardInfo", + aspect=invalid_dashboard_info, + ) + + mcp = mcpw.make_mcp() + assert "notAValidField" in str(mcp) + assert "invalid field value" in str(mcp) + + graph_client.emit_mcp(mcpw, async_flag=False) + + dashboard_info = graph_client.get_aspect( + entity_urn=dashboard_urn, + aspect_type=DashboardInfoClass, + ) + + assert dashboard_info + assert dashboard_info.title == invalid_dashboard_info["title"] + assert dashboard_info.description == invalid_dashboard_info["description"] diff --git a/smoke-test/tests/tests/data.json b/smoke-test/tests/tests/data.json index b91c9d9f0ec3b3..7dccc70457e719 100644 --- a/smoke-test/tests/tests/data.json +++ b/smoke-test/tests/tests/data.json @@ -148,7 +148,7 @@ "changeType": "UPSERT", "aspectName": "testInfo", "aspect": { - "value": "{\"name\": \"Sample Test 1\", \"category\": \"Examples\", \"description\": \"An example of Metadata Test\", \"definition\": { \"type\": \"JSON\", \"json\": \"{\\\"on\\\":{\\\"dataset\\\":[{\\\"query\\\":\\\"dataPlatformInstance.platform\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:dataPlatform:bigQuery\\\"]}]},\\\"rules\\\":{\\\"or\\\":[{\\\"query\\\":\\\"glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]},{\\\"query\\\":\\\"container.container.glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]}]}}\"} }", + "value": "{\"name\": \"Sample Test 1\", \"category\": \"Examples\", \"description\": \"An example of Metadata Test\", \"definition\": { \"type\": \"JSON\", \"json\": \"{\\\"on\\\":{\\\"types\\\":[\\\"dataset\\\"],\\\"dataset\\\":[{\\\"query\\\":\\\"dataPlatformInstance.platform\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:dataPlatform:bigQuery\\\"]}]},\\\"rules\\\":{\\\"or\\\":[{\\\"query\\\":\\\"glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]},{\\\"query\\\":\\\"container.container.glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]}]}}\"} }", "contentType": "application/json" }, "systemMetadata": null @@ -161,7 +161,7 @@ "changeType": "UPSERT", "aspectName": "testInfo", "aspect": { - "value": "{\"name\": \"Sample Test 2\", \"category\": \"Examples\", \"description\": \"An example of another Metadata Test\", \"definition\": { \"type\": \"JSON\", \"json\": \"{\\\"on\\\":{\\\"dataset\\\":[{\\\"query\\\":\\\"dataPlatformInstance.platform\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:dataPlatform:bigQuery\\\"]}]},\\\"rules\\\":{\\\"or\\\":[{\\\"query\\\":\\\"glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]},{\\\"query\\\":\\\"container.container.glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]}]}}\"} }", + "value": "{\"name\": \"Sample Test 2\", \"category\": \"Examples\", \"description\": \"An example of another Metadata Test\", \"definition\": { \"type\": \"JSON\", \"json\": \"{\\\"on\\\":{\\\"types\\\":[\\\"dataset\\\"],\\\"dataset\\\":[{\\\"query\\\":\\\"dataPlatformInstance.platform\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:dataPlatform:bigQuery\\\"]}]},\\\"rules\\\":{\\\"or\\\":[{\\\"query\\\":\\\"glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]},{\\\"query\\\":\\\"container.container.glossaryTerms.terms.glossaryTermInfo.parentNode\\\",\\\"condition\\\":\\\"EQUALS\\\",\\\"values\\\":[\\\"urn:li:glossaryNode:Category\\\"]}]}}\"} }", "contentType": "application/json" }, "systemMetadata": null diff --git a/smoke-test/tests/tests/tests_test.py b/smoke-test/tests/tests/tests_test.py index bc9ebe46c5279f..8e6af2f3f5bf4b 100644 --- a/smoke-test/tests/tests/tests_test.py +++ b/smoke-test/tests/tests/tests_test.py @@ -1,10 +1,20 @@ +import time +from typing import List + import pytest import tenacity -from tests.utils import delete_urns_from_file, get_sleep_info, ingest_file_via_rest +from tests.utils import ( + delete_urns, + delete_urns_from_file, + get_sleep_info, + ingest_file_via_rest, +) sleep_sec, sleep_times = get_sleep_info() +TEST_URNS: List[str] = [] + @pytest.fixture(scope="module", autouse=True) def ingest_cleanup_data(auth_session, graph_client, request): @@ -12,17 +22,20 @@ def ingest_cleanup_data(auth_session, graph_client, request): ingest_file_via_rest(auth_session, "tests/tests/data.json") yield print("removing test data") + delete_urns(graph_client, TEST_URNS) delete_urns_from_file(graph_client, "tests/tests/data.json") -test_id = "test id" test_name = "test name" test_category = "test category" test_description = "test description" test_description = "test description" -def create_test(auth_session): +def create_test(auth_session, test_id="test id"): + test_id = f"{test_id}_{int(time.time())}" + TEST_URNS.extend([f"urn:li:test:{test_id}"]) + # Create new Test create_test_json = { "query": """mutation createTest($input: CreateTestInput!) {\n @@ -53,21 +66,50 @@ def create_test(auth_session): return res_data["data"]["createTest"] -def delete_test(auth_session, test_urn): - delete_test_json = { - "query": """mutation deleteTest($urn: String!) {\n - deleteTest(urn: $urn) +@pytest.mark.dependency() +def test_get_test_results(auth_session): + urn = ( + "urn:li:dataset:(urn:li:dataPlatform:kafka,test-tests-sample,PROD)" # Test urn + ) + json = { + "query": """query getDataset($urn: String!) {\n + dataset(urn: $urn) {\n + urn\n + testResults {\n + failing {\n + test {\n + urn\n + }\n + type + }\n + passing {\n + test {\n + urn\n + }\n + type + }\n + }\n + }\n }""", - "variables": {"urn": test_urn}, + "variables": {"urn": urn}, } - response = auth_session.post( - f"{auth_session.frontend_url()}/api/v2/graphql", json=delete_test_json + f"{auth_session.frontend_url()}/api/v2/graphql", json=json ) response.raise_for_status() + res_data = response.json() + assert res_data + assert res_data["data"] + assert res_data["data"]["dataset"] + assert res_data["data"]["dataset"]["urn"] == urn + assert res_data["data"]["dataset"]["testResults"] == { + "failing": [{"test": {"urn": "urn:li:test:test-1"}, "type": "FAILURE"}], + "passing": [{"test": {"urn": "urn:li:test:test-2"}, "type": "SUCCESS"}], + } -@pytest.mark.dependency() + +@pytest.mark.dependency(depends=["test_get_test_results"]) def test_create_test(auth_session): test_urn = create_test(auth_session) @@ -105,17 +147,14 @@ def test_create_test(auth_session): } assert "errors" not in res_data - # Delete test - delete_test(auth_session, test_urn) - - # Ensure the test no longer exists + # Ensure that soft-deleted tests response = auth_session.post( f"{auth_session.frontend_url()}/api/v2/graphql", json=get_test_json ) response.raise_for_status() res_data = response.json() - assert res_data["data"]["test"] is None + assert res_data["data"]["test"] is not None assert "errors" not in res_data @@ -125,7 +164,6 @@ def test_update_test(auth_session): test_name = "new name" test_category = "new category" test_description = "new description" - test_description = "new description" # Update Test update_test_json = { @@ -188,8 +226,6 @@ def test_update_test(auth_session): } assert "errors" not in res_data - delete_test(auth_session, test_urn) - @tenacity.retry( stop=tenacity.stop_after_attempt(sleep_times), wait=tenacity.wait_fixed(sleep_sec) @@ -225,45 +261,3 @@ def test_list_tests_retries(auth_session): @pytest.mark.dependency(depends=["test_update_test"]) def test_list_tests(auth_session): test_list_tests_retries(auth_session) - - -def test_get_test_results(auth_session): - urn = ( - "urn:li:dataset:(urn:li:dataPlatform:kafka,test-tests-sample,PROD)" # Test urn - ) - json = { - "query": """query getDataset($urn: String!) {\n - dataset(urn: $urn) {\n - urn\n - testResults {\n - failing {\n - test {\n - urn\n - }\n - type - }\n - passing {\n - test {\n - urn\n - }\n - type - }\n - }\n - }\n - }""", - "variables": {"urn": urn}, - } - response = auth_session.post( - f"{auth_session.frontend_url()}/api/v2/graphql", json=json - ) - response.raise_for_status() - res_data = response.json() - - assert res_data - assert res_data["data"] - assert res_data["data"]["dataset"] - assert res_data["data"]["dataset"]["urn"] == urn - assert res_data["data"]["dataset"]["testResults"] == { - "failing": [{"test": {"urn": "urn:li:test:test-1"}, "type": "FAILURE"}], - "passing": [{"test": {"urn": "urn:li:test:test-2"}, "type": "SUCCESS"}], - } diff --git a/smoke-test/tests/tokens/revokable_access_token_test.py b/smoke-test/tests/tokens/revokable_access_token_test.py index 0ae18c32662c5c..af29437c051e19 100644 --- a/smoke-test/tests/tokens/revokable_access_token_test.py +++ b/smoke-test/tests/tokens/revokable_access_token_test.py @@ -17,11 +17,6 @@ (admin_user, admin_pass) = get_admin_credentials() -@pytest.fixture(autouse=True) -def setup(auth_session): - wait_for_writes_to_sync() - - @pytest.fixture() def auth_exclude_filter(): return {