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Add Github workflow to populate the persistent source schema.
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.github/workflows/cd-sql-engine-populate-persistent-source-schema.yaml
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| # See [Persistent Source Schema](/GLOSSARY.md#persistent-source-schema) | ||
| # Populating the source schema via this workflow ensures that it's done with the same settings as the tests. | ||
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| name: Reload SQL Engine Test Data | ||
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| # We don't want multiple workflows trying to create the same table. | ||
| concurrency: | ||
| group: POPULATE_PERSISTENT_SOURCE_SCHEMA | ||
| cancel-in-progress: true | ||
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| on: | ||
| push: | ||
| branches: | ||
| - main | ||
| pull_request: | ||
| types: [labeled] | ||
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| env: | ||
| PYTHON_VERSION: "3.8" | ||
| ADDITIONAL_PYTEST_OPTIONS: "--use-persistent-source-schema" | ||
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| jobs: | ||
| snowflake-populate: | ||
| environment: DW_INTEGRATION_TESTS | ||
| if: ${{ github.event.action != 'labeled' || github.event.label.name == 'populate_persistent_source_schema' }} | ||
| name: Snowflake | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: Check-out the repo | ||
| uses: actions/checkout@v3 | ||
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| - name: Populate w/Python ${{ env.PYTHON_VERSION }} | ||
| uses: ./.github/actions/run-mf-tests | ||
| with: | ||
| python-version: ${{ env.PYTHON_VERSION }} | ||
| mf_sql_engine_url: ${{ secrets.MF_SNOWFLAKE_URL }} | ||
| mf_sql_engine_password: ${{ secrets.MF_SNOWFLAKE_PWD }} | ||
| parallelism: 1 | ||
| additional-pytest-options: ${{ env.ADDITIONAL_PYTEST_OPTIONS }} | ||
| make-target: "populate-persistent-source-schema-snowflake" | ||
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| # redshift-populate: | ||
| # environment: DW_INTEGRATION_TESTS | ||
| # name: Redshift | ||
| # if: ${{ github.event.action != 'labeled' || github.event.label.name == 'populate_persistent_source_schema' }} | ||
| # runs-on: ubuntu-latest | ||
| # steps: | ||
| # - name: Check-out the repo | ||
| # uses: actions/checkout@v3 | ||
| # | ||
| # - name: Populate w/Python ${{ env.PYTHON_VERSION }} | ||
| # uses: ./.github/actions/run-mf-tests | ||
| # with: | ||
| # python-version: ${{ env.PYTHON_VERSION }} | ||
| # mf_sql_engine_url: ${{ secrets.MF_REDSHIFT_URL }} | ||
| # mf_sql_engine_password: ${{ secrets.MF_REDSHIFT_PWD }} | ||
| # parallelism: 1 | ||
| # additional-pytest-options: ${{ env.ADDITIONAL_PYTEST_OPTIONS }} | ||
| # make-target: "populate-persistent-source-schema-redshift" | ||
| # bigquery-populate: | ||
| # environment: DW_INTEGRATION_TESTS | ||
| # name: BigQuery | ||
| # if: ${{ github.event.action != 'labeled' || github.event.label.name == 'populate_persistent_source_schema' }} | ||
| # runs-on: ubuntu-latest | ||
| # steps: | ||
| # - name: Check-out the repo | ||
| # uses: actions/checkout@v3 | ||
| # | ||
| # - name: Populate w/Python ${{ env.PYTHON_VERSION }} | ||
| # uses: ./.github/actions/run-mf-tests | ||
| # with: | ||
| # python-version: ${{ env.PYTHON_VERSION }} | ||
| # MF_SQL_ENGINE_URL: ${{ secrets.MF_BIGQUERY_URL }} | ||
| # MF_SQL_ENGINE_PASSWORD: ${{ secrets.MF_BIGQUERY_PWD }} | ||
| # parallelism: 1 | ||
| # additional-pytest-options: ${{ env.ADDITIONAL_PYTEST_OPTIONS }} | ||
| # make-target: "populate-persistent-source-schema-bigquery" | ||
| # | ||
| # databricks-cluster-populate: | ||
| # environment: DW_INTEGRATION_TESTS | ||
| # name: Databricks Cluster | ||
| # if: ${{ github.event.action != 'labeled' || github.event.label.name == 'populate_persistent_source_schema' }} | ||
| # runs-on: ubuntu-latest | ||
| # steps: | ||
| # - name: Check-out the repo | ||
| # uses: actions/checkout@v3 | ||
| # | ||
| # - name: Populate w/Python Python ${{ env.PYTHON_VERSION }} | ||
| # uses: ./.github/actions/run-mf-tests | ||
| # with: | ||
| # python-version: ${{ env.PYTHON_VERSION }} | ||
| # mf_sql_engine_url: ${{ secrets.MF_DATABRICKS_CLUSTER_URL }} | ||
| # mf_sql_engine_password: ${{ secrets.MF_DATABRICKS_PWD }} | ||
| # parallelism: 1 | ||
| # additional-pytest-options: ${{ env.ADDITIONAL_PYTEST_OPTIONS }} | ||
| # make-target: "populate-persistent-source-schema-databricks" | ||
| # | ||
| # databricks-sql-warehouse-populate: | ||
| # environment: DW_INTEGRATION_TESTS | ||
| # name: Databricks SQL Warehouse | ||
| # if: ${{ github.event.action != 'labeled' || github.event.label.name == 'populate_persistent_source_schema' }} | ||
| # runs-on: ubuntu-latest | ||
| # steps: | ||
| # - name: Check-out the repo | ||
| # uses: actions/checkout@v3 | ||
| # | ||
| # - name: Populate w/Python ${{ env.PYTHON_VERSION }} | ||
| # uses: ./.github/actions/run-mf-tests | ||
| # with: | ||
| # python-version: ${{ env.PYTHON_VERSION }} | ||
| # mf_sql_engine_url: ${{ secrets.MF_DATABRICKS_SQL_WAREHOUSE_URL }} | ||
| # mf_sql_engine_password: ${{ secrets.MF_DATABRICKS_PWD }} | ||
| # parallelism: 1 | ||
| # additional-pytest-options: ${{ env.ADDITIONAL_PYTEST_OPTIONS }} | ||
| # make-target: "populate-persistent-source-schema-databricks" |
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| @@ -0,0 +1,13 @@ | ||
| # Glossary | ||
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| ## Persistent source schema | ||
| Many tests generate and execute SQL that depend on tables containing test data. By default, a | ||
| pytest fixture creates a temporary schema and populates it with the tables that are required by | ||
| the tests. This schema is referred to the source schema. Creating the source schema (and | ||
| the associated tables) can be a slow process for some SQL engines. Since these tables generally | ||
| do not change often, functionality was added to use a source schema that is assumed to already | ||
| exist when running tests and persists between runs (a persistent source schema). In addition, | ||
| functionality was added to create the persistent source schema based on table definitions in the | ||
| repo. Because the name of the source schema is generated based on the hash of the data that's | ||
| supposed to be in the schema, the creating and populating the persistent source schema should | ||
| not be done concurrently as there are race conditions when creating tables and inserting data. |
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