0.13.12

New

• The dagit and dagster-daemon processes now use a structured Python logger for command-line output.
• Dagster command-line logs now include the system timezone in the logging timestamp.
• When running your own Dagster gRPC code server, the server process will now log a message to stdout when it starts up and when it shuts down.
• [dagit] The sensor details page and sensor list page now display links to the assets tracked by @asset_sensors.
• [dagit] Improved instance warning in Dagit. Previously, Dagit showed an instance warning for daemon not running when no repos have schedulers or sensors.
• [dagster-celery-k8s] You can now specify volumes and volume mounts to runs using the CeleryK8sRunLauncher that will be included in all launched jobs.
• [dagster-databricks] You are no longer required to specify storage configuration when using the databricks_pyspark_step_launcher.
• [dagster-databricks] The databricks_pyspark_step_launcher can now be used with dynamic mapping and collect steps.
• [dagster-mlflow] The end_mlflow_on_run_finished hook is now a top-level export of the dagster mlflow library. The API reference also now includes an entry for it.

Bugfixes

• Better backwards-compatibility for fetching asset keys materialized from older versions of dagster.
• Fixed an issue where jobs running with op subsets required some resource configuration as part of the run config, even when they weren’t required by the selected ops.
• RetryPolicy is now respected when execution is interrupted.
• [dagit] Fixed "Open in Playground" link on the scheduled ticks.
• [dagit] Fixed the run ID links on the Asset list view.
• [dagit] When viewing an in-progress run, the run status sometimes failed to update as new logs arrived, resulting in a Gantt chart that either never updated from a “queued” state or did so only after a long delay. The run status and Gantt chart now accurately match incoming logs.

Community Contributions

• [dagster-k8s] Fixed an issue where specifying job_metadata in tags did not correctly propagate to Kubernetes jobs created by Dagster. Thanks @ibelikov!

Experimental

• [dagit] Made performance improvements for loading the asset graph.

Documentation

• The Versioning and Memoization guide has been updated to reflect a new set of core memoization APIs.
• [dagster-dbt] Updated the dagster-dbt integration guide to mention the new dbt Cloud integration.
• [dagster-dbt] Added documentation for the default_flags property of DbtCliResource.