dbt_project.yml

# 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: 'bigquery_demo_project'
version: '1.0.0'
config-version: 2

# 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"]

target-path: "target"  # directory which will store compiled SQL files
clean-targets:         # directories to be removed by `dbt clean`
    - "target"
    - "dbt_modules"


# Configuring models
# Full documentation: https://docs.getdbt.com/docs/configuring-models

# In this example config, we tell dbt to build all models in the example/ directory
# as tables. These settings can be overridden in the individual model files
# using the `{{ config(...) }}` macro.
models:
  bigquery_demo_project:
      +database: "{{env_var('DBT_TARGET_PROJECT')}}"
      marts:
        materialized: view
  ga4:
      +database: "{{env_var('DBT_TARGET_PROJECT')}}"
      +schema: ga4
        
vars:
  start_date: '1996-01-01'
  ga4:
    project: "bigquery-public-data"
    dataset: "ga4_obfuscated_sample_ecommerce"
    start_date: "20210120"