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Bump dbt-databricks from v1.8.5 to 1.9.1 #94

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@dependabot dependabot bot commented on behalf of github Dec 17, 2024

Bumps dbt-databricks from v1.8.5 to 1.9.1.

Release notes

Sourced from dbt-databricks's releases.

v1.9.1

What's Changed

Full Changelog: databricks/dbt-databricks@v1.9.0...v1.9.1

v1.9.0

What's Changed

Features

  • Add config for generating unique tmp table names for enabling parralel merge (thanks @​huangxingyi-git!) (854)
  • Add support for serverless job clusters on python models (706)
  • Add 'user_folder_for_python' behavior to switch writing python model notebooks to the user's folder (835)
  • Merge capabilities are extended (739) to include the support for the following features (thanks @​mi-volodin):
    • with schema evolution clause (requires Databricks Runtime 15.2 or above);
    • when not matched by source clause, only for delete action
    • matched, not matched and not matched by source condition clauses;
    • custom aliases for source and target tables can be specified and used in condition clauses;
    • matched and not matched steps can now be skipped;
  • Allow for the use of custom constraints, using the custom constraint type with an expression as the constraint (thanks @​roydobbe). (792)
  • Add "use_info_schema_for_columns" behavior flag to turn on use of information_schema to get column info where possible. This may have more latency but will not truncate complex data types the way that 'describe' can. (808)
  • Add support for table_format: iceberg. This uses UniForm under the hood to provide iceberg compatibility for tables or incrementals. (815)
  • Add include_full_name_in_path config boolean for external locations. This writes tables to {location_root}/{catalog}/{schema}/{table} (823)
  • Add a new workflow_job submission method for python, which creates a long-lived Databricks Workflow instead of a one-time run (thanks @​kdazzle!) (762)
  • Allow for additional options to be passed to the Databricks Job API when using other python submission methods. For example, enable email_notifications (thanks @​kdazzle!) (762)
  • Support microbatch incremental strategy using replace_where (825)

Fixes

  • Replace array indexing with 'get' in split_part so as not to raise exception when indexing beyond bounds (839)
  • Ensure columns that are added get backticked (859)

Under the Hood

  • Significant refactoring and increased testing of python_submissions (830)
  • Fix places where we were not properly closing cursors, and other test warnings (713)
  • Drop support for Python 3.8 (713)
  • Upgrade databricks-sql-connector dependency to 3.5.0 (833)
  • Prepare for python typing deprecations (837)
  • Fix behavior flag use in init of DatabricksAdapter (thanks @​VersusFacit!) (836)
  • Restrict pydantic to V1 per dbt Labs' request (843)
  • Switching to Ruff for formatting and linting (847)
  • Refactoring location of DLT polling code (849)
  • Switching to Hatch and pyproject.toml for project config (853)

New Contributors

... (truncated)

Changelog

Sourced from dbt-databricks's changelog.

dbt-databricks 1.9.1 (December 16, 2024)

Features

  • Merge strategy now supports the update set ... action with the explicit list of updates for when not matched by source (866) (thanks @​mi-volodin).

Under the Hood

  • Removed pins for pandas and pydantic to ease user burdens (874)
  • Add more relation types to make codegen happy (875)
  • add UP ruleset (865)

dbt-databricks 1.9.0 (December 9, 2024)

Features

  • Add config for generating unique tmp table names for enabling parralel merge (thanks @​huangxingyi-git!) (854)
  • Add support for serverless job clusters on python models (706)
  • Add 'user_folder_for_python' behavior to switch writing python model notebooks to the user's folder (835)
  • Merge capabilities are extended (739) to include the support for the following features (thanks @​mi-volodin):
    • with schema evolution clause (requires Databricks Runtime 15.2 or above);
    • when not matched by source clause, only for delete action
    • matched, not matched and not matched by source condition clauses;
    • custom aliases for source and target tables can be specified and used in condition clauses;
    • matched and not matched steps can now be skipped;
  • Allow for the use of custom constraints, using the custom constraint type with an expression as the constraint (thanks @​roydobbe). (792)
  • Add "use_info_schema_for_columns" behavior flag to turn on use of information_schema to get column info where possible. This may have more latency but will not truncate complex data types the way that 'describe' can. (808)
  • Add support for table_format: iceberg. This uses UniForm under the hood to provide iceberg compatibility for tables or incrementals. (815)
  • Add include_full_name_in_path config boolean for external locations. This writes tables to {location_root}/{catalog}/{schema}/{table} (823)
  • Add a new workflow_job submission method for python, which creates a long-lived Databricks Workflow instead of a one-time run (thanks @​kdazzle!) (762)
  • Allow for additional options to be passed to the Databricks Job API when using other python submission methods. For example, enable email_notifications (thanks @​kdazzle!) (762)
  • Support microbatch incremental strategy using replace_where (825)

Fixes

  • Replace array indexing with 'get' in split_part so as not to raise exception when indexing beyond bounds (839)
  • Set queue enabled for Python notebook jobs (856)
  • Ensure columns that are added get backticked (859)

Under the Hood

  • Significant refactoring and increased testing of python_submissions (830)
  • Fix places where we were not properly closing cursors, and other test warnings (713)
  • Drop support for Python 3.8 (713)
  • Upgrade databricks-sql-connector dependency to 3.5.0 (833)
  • Prepare for python typing deprecations (837)
  • Fix behavior flag use in init of DatabricksAdapter (thanks @​VersusFacit!) (836)
  • Restrict pydantic to V1 per dbt Labs' request (843)
  • Switching to Ruff for formatting and linting (847)
  • Refactoring location of DLT polling code (849)

... (truncated)

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Bumps [dbt-databricks](https://github.com/databricks/dbt-databricks) from v1.8.5 to 1.9.1.
- [Release notes](https://github.com/databricks/dbt-databricks/releases)
- [Changelog](https://github.com/databricks/dbt-databricks/blob/main/CHANGELOG.md)
- [Commits](databricks/dbt-databricks@v1.8.5...v1.9.1)

---
updated-dependencies:
- dependency-name: dbt-databricks
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested a review from a team as a code owner December 17, 2024 04:29
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Dec 17, 2024
@dependabot dependabot bot requested review from campisgabriel and removed request for a team December 17, 2024 04:29
@dependabot dependabot bot requested a review from vitoravancini December 17, 2024 04:29
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