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dbt-bigquery 1.3.0
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@leahwicz leahwicz released this 12 Oct 13:18
· 24 commits to 1.3.latest since this release
v1.3.0
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dbt-bigquery 1.3.0 - October 12, 2022

Features

  • Implement create_schema via SQL, instead of Python method, allowing users to override if desired. drop_schema remains a Python method for the time being. (#182, #183)
  • Added table and incrementail materializations for python models via DataProc. (#209, #226)
  • Add support for Dataproc Serverless (#248, #303)
  • Array macros (#307, #308)
  • add type_boolean as a data type macro (#315, #313)
  • Migrate dbt-utils current_timestamp macros into core + adapters (#324, #323)

Under the Hood

  • Implement minimal changes to support dbt Core incremental materialization refactor. (#232, #223)
  • Add changie to dbt-bigquery (#254, #253)
  • Add location/job_id/project_id to adapter response to enable easy job linking (#92, #250)
  • Adding slot_ms go BigQueryAdapterResponse (#194, #195)
  • specify supported_languages for materialization that support python models (#288, #290)
  • Convert df to pyspark DataFrame if it is pandas before writing (#301, #301)
  • Update BQ job and call retry settings (#311, #310)
  • Enable pandas-on-Spark DataFrames for dbt python models (#316, #317)
  • Convert df to pyspark DataFrame if it is koalas before writing (#320, #321)

Dependency

  • Bump black from 22.6.0 to 22.8.0 (#254, #294)
  • Bump mypy from 0.942 to 0.971 (#254, #296)

Contributors

Assets 4