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@yuhan yuhan released this 10 Nov 23:19
· 9950 commits to master since this release
1.0.17
4c51207

New

  • With the new asset_selection parameter on @sensor and SensorDefinition, you can now define a sensor that directly targets a selection of assets, instead of targeting a job.
  • materialize and materialize_to_memory now accept a raise_on_error argument, which allows you to determine whether to raise an Error if the run hits an error or just return as failed.
  • (experimental) Dagster now supports multi-dimensional asset partitions, through a new MultiPartitionsDefinition object. An optional schema migration enables support for this feature (run via dagster instance migrate). Users who are not using this feature do not need to run the migration.
  • You can now launch a run that targets a range of asset partitions, by supplying the "dagster/asset_partition_range_start" and "dagster/asset_partition_range_end" tags.
  • [dagit] Asset and op graphs in Dagit now show integration logos, making it easier to identify assets backed by notebooks, DBT, Airbyte, and more.
  • [dagit] a -db-pool-recycle cli flag (and dbPoolRecycle helm option) have been added to control how long the pooled connection dagit uses persists before recycle. The default of 1 hour is now respected by postgres (mysql previously already had a hard coded 1hr setting). Thanks @adam-bloom!
  • [dagster-airbyte] Introduced the ability to specify output IO managers when using load_assets_from_airbyte_instance and load_assets_from_airbyte_project.
  • [dagster-dbt] the dbt_cloud_resource resource configuration account_id can now be sourced from the environment. Thanks @sowusu-ba!
  • [dagster-duckdb] The DuckDB integration improvements: PySpark DataFrames are now fully supported, “schema” can be specified via IO Manager config, and API documentation has been improved to include more examples
  • [dagster-fivetran] Introduced experimental load_assets_from_fivetran_instance helper which automatically pulls assets from a Fivetran instance.
  • [dagster-k8s] Fixed an issue where setting the securityContext configuration of the Dagit pod in the Helm chart didn’t apply to one of its containers. Thanks @jblawatt!

Bugfixes

  • Fixed a bug that caused the asset_selection parameter of RunRequest to not be respected when used inside a schedule.
  • Fixed a bug with health checks during delayed Op retries with the k8s_executor and docker_executor.
  • [dagit] The asset graph now live-updates when assets fail to materialize due to op failures.
  • [dagit] The "Materialize" button now respects the backfill permission for multi-run materializations.
  • [dagit] Materializations without metadata are padded correctly in the run logs.
  • [dagster-aws] Fixed an issue where setting the value of task_definition field in the EcsRunLauncher to an environment variable stopped working.
  • [dagster-dbt] Add exposures in load_assets_from_dbt_manifest. This fixed then error when load_assets_from_dbt_manifest failed to load from dbt manifest with exposures. Thanks @sowusu-ba!
  • [dagster-duckdb] In some examples, the duckdb config was incorrectly specified. This has been fixed.

Breaking Changes

  • The behavior of the experimental asset reconciliation sensor, which is accessible via build_asset_reconciliation_sensor has changed to be more focused on reconciliation. It now materializes assets that have never been materialized before and avoids materializing assets that are “Upstream changed”. The build_asset_reconciliation_sensor API no longer accepts wait_for_in_progress_runs and wait_for_all_upstream arguments.

Documentation

All Changes

1.0.16...1.0.17

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Contributors

domsj, alangenfeld, and 20 other contributors
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