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dbt-spark Changelog

  • This file provides a full account of all changes to dbt-spark.
  • Changes are listed under the (pre)release in which they first appear. Subsequent releases include changes from previous releases.
  • "Breaking changes" listed under a version may require action from end users or external maintainers when upgrading to that version.
  • Do not edit this file directly. This file is auto-generated using changie. For details on how to document a change, see the contributing guide

dbt-spark 1.6.0-b3 - June 09, 2023

Features

  • Standardize the _connection_keys and debug_query for dbt debug. (#PR754)

Fixes

  • wrap expression for check constraints in parentheses (#7480)

Under the Hood

  • drop support for python 3.7 (#792)

dbt-spark 1.6.0-b2 - May 25, 2023

Features

  • All constraint types are supported, but not enforced. (#656, #657)

dbt-spark 1.6.0-b1 - May 12, 2023

Features

  • Support insert_overwrite strategy with delta (#1013)

Fixes

  • Fixed issue where table materialization was not always properly refreshing for non-admin users on Databricks (#725)
  • Remove dead code 💀 (#758)

Under the Hood

  • Remove unneeded type ignore (#753)

Dependencies

  • Update black requirement from ~=23.1 to ~=23.3 (#701)
  • Bump mypy from 1.1.1 to 1.2.0 (#708)
  • Update pytest requirement from ~=7.2 to ~=7.3 (#726)
  • Update types-pytz requirement from ~=2023.2 to ~=2023.3 (#704)
  • Update pip-tools requirement from ~=6.12 to ~=6.13 (#737)
  • Update pytz requirement from ~=2023.2 to ~=2023.3 (#702)

Dependency

  • Bump pyodbc from 4.0.34 to 4.0.35 (#417)

Contributors

dbt-spark 1.6.0-a1 - April 17, 2023

Previous Releases

For information on prior major and minor releases, see their changelogs: