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* stash * workflows * logic upgrades * commit * clean1 * clean2 * remove origin * updates * config * exclude dupe txs
52 lines
1.5 KiB
YAML
52 lines
1.5 KiB
YAML
# Name your project! Project names should contain only lowercase characters
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# and underscores. A good package name should reflect your organization's
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# name or the intended use of these models
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name: "arbitrum_models"
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version: "1.0.0"
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config-version: 2
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# This setting configures which "profile" dbt uses for this project.
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profile: "arbitrum"
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# These configurations specify where dbt should look for different types of files.
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# The `source-paths` config, for example, states that models in this project can be
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# found in the "models/" directory. You probably won't need to change these!
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model-paths: ["models"]
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analysis-paths: ["analysis"]
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test-paths: ["tests"]
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seed-paths: ["data"]
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macro-paths: ["macros"]
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snapshot-paths: ["snapshots"]
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target-path: "target" # directory which will store compiled SQL files
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clean-targets: # directories to be removed by `dbt clean`
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- "target"
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- "dbt_modules"
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- "dbt_packages"
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tests:
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+store_failures: true # all tests
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on-run-start:
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- "{{ create_sps() }}"
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- "{{ create_udfs() }}"
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on-run-end:
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- '{{ apply_meta_as_tags(results) }}'
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# Configuring models
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# Full documentation: https://docs.getdbt.com/docs/configuring-models
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# In this example config, we tell dbt to build all models in the example/ directory
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# as tables. These settings can be overridden in the individual model files
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# using the `{{ config(...) }}` macro.
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vars:
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"dbt_date:time_zone": GMT
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STREAMLINE_INVOKE_STREAMS: False
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STREAMLINE_USE_DEV_FOR_EXTERNAL_TABLES: False
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UPDATE_UDFS_AND_SPS: False
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UPDATE_SNOWFLAKE_TAGS: True
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WAIT: 0
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OBSERV_FULL_TEST: False
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