dagster-io/dagster 1.5.5 on GitHub

Dagster now supports using Pydantic 2 models for Config and Resources. Pydantic 1.10 continues to be supported.
Added a report_asset_observation REST API endpoint for runless external asset observation events
Dramatically improved the performance of partition-mapping, for basic hourly and daily partitions definitions
[ui] When viewing a list of runs, you can quickly add the tag in the “Launched by” column as a filter on the list view. Hover over the tag to see the “Add to filter” button.
[helm] The env vars DAGSTER_K8S_PG_PASSWORD_SECRET and DAGSTER_K8S_INSTANCE_CONFIG_MAP will no longer be set in all pods.
[dagster-pyspark] build_pyspark_zip now takes an exclude parameter that can be used to customize the set of excluded files.
[ui] Links beginning with http://, https:// in unstructured run logs (via context.log) are automatically converted to clickable links

Fixed an asset backfill bug where certain asset partitions with no targeted parents would hang indefinitely.
Fixed a bug where the source_key_prefix argument to load_assets_from_current_module and load_assets_from_package_name was ignored
Fixed two bugs in dagster_embedded_elt where the mode parameter was not being passed to Sling, and only one asset could be created at a time
Fixed a bug with handing default values for Pydantic validators on Windows
[ui] Clicking an asset with checks shows them in the asset graph sidebar, even if live data on the page is still loading.
[ui] Reported materialization events are presented more clearly in the asset graph sidebar and in other parts of the Dagster UI.

[helm] The pipelineRun configuration in the Helm chart is now deprecated. The same config can be set under dagster-user-deployments

Added setup_for_execution and teardown_after_execution calls to the inner IOManagers of the BranchingIOManager - thank you @danielgafni!
The S3FakeResource.upload_fileobj() signature is now consistent with boto3 S3.Client.upload_fileobj() - thank you @jeanineharb!
dbt_assets now have an optional name parameter - thank you @AlexanderVR!

dagster-io/dagster 1.5.5 1.5.5 / 0.21.5 (libraries) on GitHub