pypi prefect 2.19.1

latest releases: 2.19.5, 3.0.0rc2, 2.19.4...
28 days ago

Release 2.19.1

Enhancements to prefect-dbt for running dbt-core commands

Introducing prefect-dbt summary artifacts! With summary artifacts, you get a view of all of the runs that succeeded, failed, or were skipped as well as where the failed models live in your dbt project and why they failed. This exposes information about each dbt node in a succinct format that teams can use for development, debugging, insights, and so much more.

These changes are available in prefect-dbt version 0.5.0!

prefect-dbt-summary-artifact-example

See the following pull requests for implementation details:

Enhancements

Experimental

Events and Automations

  • Add ability to create and manage automations in the Prefect UI - #13342

Documentation

  • Update documentation formatting for prefect-ray - #13385

Integrations

  • Update all integrations libraries to pin prefect<3.0.0 - #13408

Integration library releases

This release was accompanied by the following integration library releases:

  • prefect-aws - 0.4.17
  • prefect-azure - 0.3.10
  • prefect-bitbucket - 0.2.5
  • prefect-dask - 0.2.9
  • prefect-databricks - 0.2.7
  • prefect-dbt - 0.5.0
  • prefect-docker - 0.5.2
  • prefect-email - 0.3.5
  • prefect-gcp - 0.5.12
  • prefect-github - 0.2.5
  • prefect-gitlab - 0.2.5
  • prefect-kubernetes - 0.3.10
  • prefect-ray - 0.3.6
  • prefect-shell - 0.2.5
  • prefect-slack - 0.2.6
  • prefect-snowflake - 0.27.6
  • prefect-sqlalchemy - 0.4.3

All changes: 2.19.0...2.19.1

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