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dbt_project.yml
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dbt_project.yml
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# Name your project! Project names should contain only lowercase characters
# and underscores. A good package name should reflect your organization's
# name or the intended use of these models
name: 'sample_dbt_big_query_project'
version: '1.0.0'
config-version: 2
# This setting configures which "profile" dbt uses for this project.
profile: 'sample-dbt-big-query-project'
# These configurations specify where dbt should look for different types of files.
# The `source-paths` config, for example, states that models in this project can be
# found in the "models/" directory. You probably won't need to change these!
model-paths: ["models"]
analysis-paths: ["analyses"]
test-paths: ["tests"]
seed-paths: ["seeds"]
macro-paths: ["macros"]
snapshot-paths: ["snapshots"]
docs-paths: ["docs"]
target-path: "target" # directory which will store compiled SQL files
clean-targets: # directories to be removed by `dbt clean`
- "target"
- "dbt_modules"
- "dbt_packages"
# on-run-start:
# - "alter warehouse transforming set warehouse_size=small;"
# - '{{create_udfs()}}' # comment / uncomment this line to build UDFs called in the create_udfs macro
# on-run-end:
# - "alter warehouse transforming set warehouse_size=xsmall;"
# - "{{ grant_all_on_schemas(schemas, 'transformer') }}"
vars:
start_date: '1999-01-01'
test: 'false' # to trigger runs for unit testing - override in a CLI param in testing job
fct_order_items: 'mock_source__fct_order_items' # this is a map for unit testing
vars:
'dbt_date:time_zone': 'America/Los_Angeles'
# Configuring models
# Full documentation: https://docs.getdbt.com/docs/configuring-models
# my models folder
models:
# setting my project name here
sample_dbt_big_query_project:
# my staging models/staging folder
staging:
+materialized: view
+schema: staging
marts:
core:
+materialized: table
+schema: core_analytics
aggregates:
+materialized: table
+schema: aggregate_tables
seeds:
tpch:
snowflake_contract_rates:
+column_types:
effective_date: DATE
rate: NUMBER