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Merge pull request #37 from raphaelvarieras/capitalize-fivetran
Capitalize Fivetran
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CHANGELOG.md

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# dbt_github_source v0.UPDATE.UPDATE
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# dbt_github_source v0.7.1
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## Under the Hood:
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## Fixes
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- Updated `src_github.yml` to capitalize Fivetran in the loader definition, to mirror use in other Fivetran packages. ([PR #37](https://github.com/fivetran/dbt_github_source/pull/37))
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## Under the Hood
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- Incorporated the new `fivetran_utils.drop_schemas_automation` macro into the end of each Buildkite integration test job. ([PR #34](https://github.com/fivetran/dbt_github_source/pull/34))
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- Updated the pull request [templates](/.github). ([PR #34](https://github.com/fivetran/dbt_github_source/pull/34))
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## Contributors
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- [@raphaelvarieras](https://github.com/raphaelvarieras) ([PR #37](https://github.com/fivetran/dbt_github_source/pull/37))
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- Incorporated the new `fivetran_utils.drop_schemas_automation` macro into the end of each Buildkite integration test job.
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- Updated the pull request [templates](/.github).
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# dbt_github_source v0.7.0
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## 🚨 Breaking Change 🚨
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- Expanded the variable `github__using_repo_team` to also toggle on/off the `TEAM` table along with and in addition to the `REPO_TEAM` table. This was done to fix issues with dependent models in our transform package, where `TEAM` is only ever used in conjunction with `REPO_TEAM`. ([#32](https://github.com/fivetran/dbt_github_source/pull/32))

dbt_project.yml

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config-version: 2
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name: 'github_source'
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version: '0.7.0'
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version: '0.7.1'
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require-dbt-version: [">=1.3.0", "<2.0.0"]
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models:
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github_source:

docs/catalog.json

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docs/index.html

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docs/manifest.json

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docs/run_results.json

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integration_tests/dbt_project.yml

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name: 'github_source_integration_tests'
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version: '0.7.0'
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version: '0.7.1'
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config-version: 2
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profile: 'integration_tests'
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vars:

models/src_github.yml

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- name: github
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database: "{% if target.type != 'spark'%}{{ var('github_database', target.database) }}{% endif %}"
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schema: "{{var ('github_schema', 'github')}}"
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loader: fivetran
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loader: Fivetran
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loaded_at_field: _fivetran_synced
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freshness:
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warn_after: {count: 72, period: hour}

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