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Changelog#

1.9.6 (core) / 0.25.6 (libraries)#

New#

  • Updated cronitor pin to allow versions >= 5.0.1 to enable use of DayOfWeek as 7. Cronitor 4.0.0 is still disallowed. (Thanks, @joshuataylor!)
  • Added flag checkDbReadyInitContainer to optionally disable db check initContainer.
  • [ui] Added Google Drive icon for kind tags. (Thanks, @dragos-pop!)
  • [ui] Renamed the run lineage sidebar on the Run details page to Re-executions.
  • [ui] Sensors and schedules that appear in the Runs page are now clickable.
  • [ui] Runs targeting assets now show more of the assets in the Runs page.
  • [dagster-airbyte] The destination type for an Airbyte asset is now added as a kind tag for display in the UI.
  • [dagster-gcp] DataprocResource now receives an optional parameter labels to be attached to Dataproc clusters. (Thanks, @thiagoazcampos!)
  • [dagster-k8s] Added a checkDbReadyInitContainer flag to the Dagster Helm chart to allow disabling the default init container behavior. (Thanks, @easontm!)
  • [dagster-k8s] K8s pod logs are now logged when a pod fails. (Thanks, @apetryla!)
  • [dagster-sigma] Introduced build_materialize_workbook_assets_definition which can be used to build assets that run materialize schedules for a Sigma workbook.
  • [dagster-snowflake] SnowflakeResource and SnowflakeIOManager both accept additional_snowflake_connection_args config. This dictionary of arguments will be passed to the snowflake.connector.connect method. This config will be ignored if you are using the sqlalchemy connector.
  • [helm] Added the ability to set user-deployments labels on k8s deployments as well as pods.

Bugfixes#

  • Assets with self dependencies and BackfillPolicy are now evaluated correctly during backfills. Self dependent assets no longer result in serial partition submissions or disregarded upstream dependencies.
  • Previously, the freshness check sensor would not re-evaluate freshness checks if an in-flight run was planning on evaluating that check. Now, the freshness check sensor will kick off an independent run of the check, even if there's already an in flight run, as long as the freshness check can potentially fail.
  • Previously, if the freshness check was in a failing state, the sensor would wait for a run to update the freshness check before re-evaluating. Now, if there's a materialization later than the last evaluation of the freshness check and no planned evaluation, we will re-evaluate the freshness check automatically.
  • [ui] Fixed run log streaming for runs with a large volume of logs.
  • [ui] Fixed a bug in the Backfill Preview where a loading spinner would spin forever if an asset had no valid partitions targeted by the backfill.
  • [dagster-aws] PipesCloudWatchMessageReader correctly identifies streams which are not ready yet and doesn't fail on ThrottlingException. (Thanks, @jenkoian!)
  • [dagster-fivetran] Column metadata can now be fetched for Fivetran assets using FivetranWorkspace.sync_and_poll(...).fetch_column_metadata().
  • [dagster-k8s] The k8s client now waits for the main container to be ready instead of only waiting for sidecar init containers. (Thanks, @OrenLederman!)

Documentation#

  • Fixed a typo in the dlt_assets API docs. (Thanks, @zilto!)

1.9.5 (core) / 0.25.5 (libraries)#

New#

  • The automatic run retry daemon has been updated so that there is a single source of truth for if a run will be retried and if the retry has been launched. Tags are now added to run at failure time indicating if the run will be retried by the automatic retry system. Once the automatic retry has been launched, the run ID of the retry is added to the original run.
  • When canceling a backfill of a job, the backfill daemon will now cancel all runs launched by that backfill before marking the backfill as canceled.
  • Dagster execution info (tags such as dagster/run-id, dagster/code-location, dagster/user and Dagster Cloud environment variables) typically attached to external resources are now available under DagsterRun.dagster_execution_info.
  • SensorReturnTypesUnion is now exported for typing the output of sensor functions.
  • [dagster-dbt] dbt seeds now get a valid code version (Thanks @marijncv!).
  • Manual and automatic retries of runs launched by backfills that occur while the backfill is still in progress are now incorporated into the backfill's status.
  • Manual retries of runs launched by backfills are no longer considered part of the backfill if the backfill is complete when the retry is launched.
  • [dagster-fivetran] Fivetran assets can now be materialized using the FivetranWorkspace.sync_and_poll(…) method in the definition of a @fivetran_assets decorator.
  • [dagster-fivetran] load_fivetran_asset_specs has been updated to accept an instance of DagsterFivetranTranslator or custom subclass.
  • [dagster-fivetran] The fivetran_assets decorator was added. It can be used with the FivetranWorkspace resource and DagsterFivetranTranslator translator to load Fivetran tables for a given connector as assets in Dagster. The build_fivetran_assets_definitions factory can be used to create assets for all the connectors in your Fivetran workspace.
  • [dagster-aws] ECSPipesClient.run now waits up to 70 days for tasks completion (waiter parameters are configurable) (Thanks @jenkoian!)
  • [dagster-dbt] Update dagster-dbt scaffold template to be compatible with uv (Thanks @wingyplus!).
  • [dagster-airbyte] A load_airbyte_cloud_asset_specs function has been added. It can be used with the AirbyteCloudWorkspace resource and DagsterAirbyteTranslator translator to load your Airbyte Cloud connection streams as external assets in Dagster.
  • [ui] Add an icon for the icechunk kind.
  • [ui] Improved ui for manual sensor/schedule evaluation.

Bugfixes#

  • Fixed database locking bug for the ConsolidatedSqliteEventLogStorage, which is mostly used for tests.
  • [dagster-aws] Fixed a bug in the ECSRunLauncher that prevented it from accepting a user-provided task definition when DAGSTER_CURRENT_IMAGE was not set in the code location.
  • [ui] Fixed an issue that would sometimes cause the asset graph to fail to render on initial load.
  • [ui] Fix global auto-materialize tick timeline when paginating.

1.9.4 (core) / 0.25.4 (libraries)#

New#

  • Global op concurrency is now enabled on the default SQLite storage. Deployments that have not been migrated since 1.6.0 may need to run dagster instance migrate to enable.
  • Introduced map_asset_specs to enable modifying AssetSpecs and AssetsDefinitions in bulk.
  • Introduced AssetSpec.replace_attributes and AssetSpec.merge_attributes to easily alter properties of an asset spec.
  • [ui] Add a "View logs" button to open tick logs in the sensor tick history table.
  • [ui] Add Spanner kind icon.
  • [ui] The asset catalog now supports filtering using the asset selection syntax.
  • [dagster-pipes, dagster-aws] PipesS3MessageReader now has a new parameter include_stdio_in_messages which enables log forwarding to Dagster via Pipes messages.
  • [dagster-pipes] Experimental: A new Dagster Pipes message type log_external_stream has been added. It can be used to forward external logs to Dagster via Pipes messages.
  • [dagster-powerbi] Opts in to using admin scan APIs to pull data from a Power BI instance. This can be disabled by passing load_powerbi_asset_specs(..., use_workspace_scan=False).
  • [dagster-sigma] Introduced an experimental dagster-sigma snapshot command, allowing Sigma workspaces to be captured to a file for faster subsequent loading.

Bugfixes#

  • Fixed a bug that caused DagsterExecutionStepNotFoundError errors when trying to execute an asset check step of a run launched by a backfill.
  • Fixed an issue where invalid cron strings like "0 0 30 2 *" that represented invalid dates in February were still allowed as Dagster cron strings, but then failed during schedule execution. Now, these invalid cronstrings will raise an exception when they are first loaded.
  • Fixed a bug where owners added to AssetOuts when defining a @graph_multi_asset were not added to the underlying AssetsDefinition.
  • Fixed a bug where using the & or | operators on AutomationConditions with labels would cause that label to be erased.
  • [ui] Launching partitioned asset jobs from the launchpad now warns if no partition is selected.
  • [ui] Fixed unnecessary middle truncation occurring in dialogs.
  • [ui] Fixed timestamp labels and "Now" line rendering bugs on the sensor tick timeline.
  • [ui] Opening Dagster's UI with a single job defined takes you to the Overview page rather than the Job page.
  • [ui] Fix stretched tags in backfill table view for non-partitioned assets.
  • [ui] Open automation sensor evaluation details in a dialog instead of navigating away.
  • [ui] Fix scrollbars in dark mode.
  • [dagster-sigma] Workbooks filtered using a SigmaFilter no longer fetch lineage information.
  • [dagster-powerbi] Fixed an issue where reports without an upstream dataset dependency would fail to translate to an asset spec.

Deprecations#

  • [dagster-powerbi] DagsterPowerBITranslator.get_asset_key is deprecated in favor of DagsterPowerBITranslator.get_asset_spec().key
  • [dagster-looker] DagsterLookerApiTranslator.get_asset_key is deprecated in favor of DagsterLookerApiTranslator.get_asset_spec().key
  • [dagster-sigma] DagsterSigmaTranslator.get_asset_key is deprecated in favor of DagsterSigmaTranslator.get_asset_spec().key
  • [dagster-tableau] DagsterTableauTranslator.get_asset_key is deprecated in favor of DagsterTableauTranslator.get_asset_spec().key

1.9.3 (core) / 0.25.3 (libraries)#

New#

  • Added run_id to the run_tags index to improve database performance. Run dagster instance migrate to update the index. (Thanks, @HynekBlaha!)

  • Added icons for kind tags: Cassandra, ClickHouse, CockroachDB, Doris, Druid, Elasticsearch, Flink, Hadoop, Impala, Kafka, MariaDB, MinIO, Pinot, Presto, Pulsar, RabbitMQ, Redis, Redpanda, ScyllaDB, Starrocks, and Superset. (Thanks, @swrookie!)

  • Added a new icon for the Denodo kind tag. (Thanks, @tintamarre!)

  • Errors raised from defining more than one Definitions object at module scope now include the object names so that the source of the error is easier to determine.

  • [ui] Asset metadata entries like dagster/row_count now appear on the events page and are properly hidden on the overview page when they appear in the sidebar.

  • [dagster-aws] PipesGlueClient now attaches AWS Glue metadata to Dagster results produced during Pipes invocation.

  • [dagster-aws] PipesEMRServerlessClient now attaches AWS EMR Serverless metadata to Dagster results produced during Pipes invocation and adds Dagster tags to the job run.

  • [dagster-aws] PipesECSClient now attaches AWS ECS metadata to Dagster results produced during Pipes invocation and adds Dagster tags to the ECS task.

  • [dagster-aws] PipesEMRClient now attaches AWS EMR metadata to Dagster results produced during Pipes invocation.

  • [dagster-databricks] PipesDatabricksClient now attaches Databricks metadata to Dagster results produced during Pipes invocation and adds Dagster tags to the Databricks job.

  • [dagster-fivetran] Added load_fivetran_asset_specs function. It can be used with the FivetranWorkspace resource and DagsterFivetranTranslator translator to load your Fivetran connector tables as external assets in Dagster.

  • [dagster-looker] Errors are now handled more gracefully when parsing derived tables.

  • [dagster-sigma] Sigma assets now contain extra metadata and kind tags.

  • [dagster-sigma] Added support for direct workbook to warehouse table dependencies.

  • [dagster-sigma] Added include_unused_datasets field to SigmaFilter to disable pulling datasets that aren't used by a downstream workbook.

  • [dagster-sigma] Added skip_fetch_column_data option to skip loading Sigma column lineage. This can speed up loading large instances.

  • [dagster-sigma] Introduced an experimental dagster-sigma snapshot command, allowing Sigma workspaces to be captured to a file for faster subsequent loading.

    Introducing: dagster-airlift (experimental)#

    dagster-airlift is coming out of stealth. See the initial Airlift RFC here, and the following documentation to learn more:

    More Airflow-related content is coming soon! We'd love for you to check it out, and post any comments / questions in the #airflow-migration channel in the Dagster slack.

Bugfixes#

  • Fixed a bug in run status sensors where setting incompatible arguments monitor_all_code_locations and monitored_jobs did not raise the expected error. (Thanks, @apetryla!)
  • Fixed an issue that would cause the label for AutomationCondition.any_deps_match() and AutomationCondition.all_deps_match() to render incorrectly when allow_selection or ignore_selection were set.
  • Fixed a bug which could cause code location load errors when using CacheableAssetsDefinitions in code locations that contained AutomationConditions
  • Fixed an issue where the default multiprocess executor kept holding onto subprocesses after their step completed, potentially causing Too many open files errors for jobs with many steps.
  • [ui] Fixed an issue introduced in 1.9.2 where the backfill overview page would sometimes display extra assets that were targeted by the backfill.
  • [ui] Fixed "Open in Launchpad" button when testing a schedule or sensor by ensuring that it opens to the correct deployment.
  • [ui] Fixed an issue where switching a user setting was immediately saved, rather than waiting for the change to be confirmed.
  • [dagster-looker] Unions without unique/distinct criteria are now properly handled.
  • [dagster-powerbi] Fixed an issue where reports without an upstream dataset dependency would fail to translate to an asset spec.
  • [dagster-sigma] Fixed an issue where API fetches did not paginate properly.

Documentation#

Dagster Plus#

  • [ui] Fixed an issue with filtering and catalog search in branch deployments.
  • [ui] Fixed an issue where the asset graph would reload unexpectedly.

1.9.2 (core) / 0.25.2 (libraries)#

New#

  • Introduced a new constructor, AssetOut.from_spec, that will construct an AssetOut from an AssetSpec.
  • [ui] Column tags are now displayed in the Column name section of the asset overview page.
  • [ui] Introduced an icon for the gcs (Google Cloud Storage) kind tag.
  • [ui] Introduced icons for report and semanticmodel kind tags.
  • [ui] The tooltip for a tag containing a cron expression now shows a human-readable, timezone-aware cron string.
  • [ui] Asset check descriptions are now sourced from docstrings and rendered in the UI. (Thanks, @marijncv!)
  • [dagster-aws] Added option to propagate tags to ECS tasks when using the EcsRunLauncher. (Thanks, @zyd14!)
  • [dagster-dbt] You can now implement DagsterDbtTranslator.get_code_version to customize the code version for your dbt assets. (Thanks, @Grzyblon!)
  • [dagster-pipes] Added the ability to pass arbitrary metadata to PipesClientCompletedInvocation. This metadata will be attached to all materializations and asset checks stored during the pipes invocation.
  • [dagster-powerbi] During a full workspace scan, owner and column metadata is now automatically attached to assets.

Bugfixes#

  • Fixed an issue with AutomationCondition.execution_in_progress which would cause it to evaluate to True for unpartitioned assets that were part of a run that was in progress, even if the asset itself had already been materialized.
  • Fixed an issue with AutomationCondition.run_in_progress that would cause it to ignore queued runs.
  • Fixed an issue that would cause a default_automation_condition_sensor to be constructed for user code servers running on dagster version < 1.9.0 even if the legacy auto_materialize: use_sensors configuration setting was set to False.
  • [ui] Fixed an issue when executing asset checks where the wrong job name was used in some situations. The correct job name is now used.
  • [ui] Selecting assets with 100k+ partitions no longer causes the asset graph to temporarily freeze.
  • [ui] Fixed an issue that could cause a GraphQL error on certain pages after removing an asset.
  • [ui] The asset events page no longer truncates event history in cases where both materialization and observation events are present.
  • [ui] The backfill coordinator logs tab no longer sits in a loading state when no logs are available to display.
  • [ui] Fixed issue which would cause the "Partitions evaluated" label on an asset's automation history page to incorrectly display 0 in cases where all partitions were evaluated.
  • [ui] Fix "Open in Playground" link when testing a schedule or sensor by ensuring that it opens to the correct deployment.
  • [ui] Fixed an issue where the asset graph would reload unexpectedly.
  • [dagster-dbt] Fixed an issue where the SQL filepath for a dbt model was incorrectly resolved when the dbt manifest file was built on a Windows machine, but executed on a Unix machine.
  • [dagster-pipes] Asset keys containing embedded / characters now work correctly with Dagster Pipes.

Documentation#

Deprecations#

  • The types-sqlalchemy package is no longer included in the dagster[pyright] extra package.

Dagster Plus#

  • [ui] The Environment Variables table can now be sorted by name and update time.
  • [ui] The code location configuration dialog now contains more metadata about the code location.
  • [ui] Fixed an issue where the incorrect user icons were shown in the Users table when a search filter had been applied.

1.9.1 (core) / 0.25.1 (libraries)#

New#

  • dagster project scaffold now has an option to create dagster projects from templates with excluded files/filepaths.
  • [ui] Filters in the asset catalog now persist when navigating subdirectories.
  • [ui] The Run page now displays the partition(s) a run was for.
  • [ui] Filtering on owners/groups/tags is now case-insensitive.
  • [dagster-tableau] the helper function parse_tableau_external_and_materializable_asset_specs is now available to parse a list of Tableau asset specs into a list of external asset specs and materializable asset specs.
  • [dagster-looker] Looker assets now by default have owner and URL metadata.
  • [dagster-k8s] Added a per_step_k8s_config configuration option to the k8s_job_executor, allowing the k8s configuration of individual steps to be configured at run launch time (thanks @Kuhlwein!)
  • [dagster-fivetran] Introduced DagsterFivetranTranslator to customize assets loaded from Fivetran.
  • [dagster-snowflake] dagster_snowflake.fetch_last_updated_timestamps now supports ignoring tables not found in Snowflake instead of raising an error.

Bugfixes#

  • Fixed issue which would cause a default_automation_condition_sensor to be constructed for user code servers running on dagster version < 1.9.0 even if the legacy auto_materialize: use_sensors configuration setting was set to False.
  • Fixed an issue where running dagster instance migrate on Dagster version 1.9.0 constructed a SQL query that exceeded the maximum allowed depth.
  • Fixed an issue where wiping a dynamically partitioned asset causes an error.
  • [dagster-polars] ImportErrors are no longer raised when bigquery libraries are not installed [#25708]

Documentation#

  • [dagster-dbt] A guide on how to use dbt defer with Dagster branch deployments has been added to the dbt reference.

0.13.3#

Bugfixes#

  • [dagster-k8s] Fixed a bug that caused retries to occur twice with the k8s_job_executor

0.13.2#

New#

  • Updated dagstermill to better support job/op/graph changes by adding a define_dagstermill_op factory function. Also updated documentation and examples to reflect these changes.
  • Changed run history for jobs in Dagit to include legacy mode tags for runs that were created from pipelines that have since been converted to use jobs.
  • The new get_dagster_logger() method is now importable from the top level dagster module (from dagster import get_dagster_logger)
  • [dagster-dbt] All dagster-dbt resources (dbt_cli_resource, dbt_rpc_resource, and dbt_rpc_sync_resource) now support the dbt ls command: context.resources.dbt.ls().
  • Added ins and outs properties to OpDefinition.
  • Updated the run status favicon of the Run page in Dagit.
  • There is now a resources_config argument on build_solid_context. The config argument has been renamed to solid_config.
  • [helm] When deploying Redis using the Dagster helm chart, by default the new cluster will not require authentication to start a connection to it.
  • [dagster-k8s] The component name on Kubernetes jobs for run and step workers is now run_worker and step_worker, respectively.
  • Improved performance for rendering the Gantt chart on the Run page for runs with very long event logs.

Bugfixes#

  • Fixed a bug where decorating a job with a hook would create a pipeline.
  • Fixed a bug where providing default logger config to a job would break with a confusing error.
  • Fixed a bug with retrieving output results from a mapped input on execute_in_process
  • Fixed a bug where schedules referencing a job were not creating runs using that job’s default run config.
  • [dagster-k8s] Fixed a bug where the retry mode was not being passed along through the k8s executor.

Breaking Changes#

  • The first argument on Executor.execute(...) has changed from pipeline_context to plan_context

Community Contributions#

  • When using multiple Celery workers in the Dagster helm chart, each worker can now be individually configured. See the helm chart for more information. Thanks @acrulopez!
  • [dagster-k8s] Changed Kubernetes job containers to use the fixed name dagster, rather than repeating the job name. Thanks @skirino!

Experimental#

  • [dagster-docker] Added a new docker_executor which executes steps in separate Docker containers.

  • The dagster-daemon process can now detect hanging runs and restart crashed run workers. Currently only supported for jobs using the docker_executor and k8s_job_executor. Enable this feature in your dagster.yaml with:

    run_monitoring:
  enabled: true

    Documentation coming soon. Reach out in the #dagster-support Slack channel if you are interested in using this feature.

Documentation#

  • Adding “Python Logging” back to the navigation pane.
  • Updated documentation for dagster-aws, dagster-github, and dagster-slack to reference job/op/graph APIs.

0.13.1#

New#

Docs#

  • Various fixes to broken links on pages in 0.13.0 docs release

Bug fixes#

  • Previously, the Dagster CLI would use a completely ephemeral dagster instance if $DAGSTER_HOME was not set. Since the new job abstraction by default requires a non-ephemeral dagster instance, this has been changed to instead create a persistent instance that is cleaned up at the end of an execution.

Dagit#

  • Run-status-colorized dagster logo is back on job execution page
  • Improvements to Gantt chart color scheme

0.13.0 "Get the Party Started"#

Major Changes#

  • The job, op, and graph APIs now represent the stable core of the system, and replace pipelines, solids, composite solids, modes, and presets as Dagster’s core abstractions. All of Dagster’s documentation - tutorials, examples, table of contents - is in terms of these new core APIs. Pipelines, modes, presets, solids, and composite solids are still supported, but are now considered “Legacy APIs”. We will maintain backcompatibility with the legacy APIs for some time, however, we believe the new APIs represent an elegant foundation for Dagster going forward. As time goes on, we will be adding new features that only apply to the new core. All in all, the new APIs provide increased clarity - they unify related concepts, make testing more lightweight, and simplify operational workflows in Dagit. For comprehensive instructions on how to transition to the new APIs, refer to the migration guide.
  • Dagit has received a complete makeover. This includes a refresh to the color palette and general design patterns, as well as functional changes that make common Dagit workflows more elegant. These changes are designed to go hand in hand with the new set of core APIs to represent a stable core for the system going forward.
  • You no longer have to pass a context object around to do basic logging. Many updates have been made to our logging system to make it more compatible with the python logging module. You can now capture logs produced by standard python loggers, set a global python log level, and set python log handlers that will be applied to every log message emitted from the Dagster framework. Check out the docs here!
  • The Dagit “playground” has been re-named into the Dagit “launchpad”. This reflects a vision of the tool closer to how our users actually interact with it - not just a testing/development tool, but also as a first-class starting point for many one-off workflows.
  • Introduced a new integration with Microsoft Teams, which includes a connection resource and support for sending messages to Microsoft Teams. See details in the API Docs (thanks @iswariyam!).
  • Intermediate storages, which were deprecated in 0.10.0, have now been removed. Refer to the “Deprecation: Intermediate Storage” section of the 0.10.0 release notes for how to use IOManagers instead.
  • The pipeline-level event types in the run log have been renamed so that the PIPELINE prefix has been replaced with RUN. For example, the PIPELINE_START event is now the RUN_START event.

New since 0.12.15#

  • Addition of get_dagster_logger function, which creates a python loggers whose output messages will be captured and converted into Dagster log messages.

Community Contributions#

  • The run_config attribute is now available on ops/solids built using the build_op_context or build_solid_context functions. Thanks @jiafi!
  • Limit configuration of applyLimitPerUniqueValue in k8s environments. Thanks @cvb!
  • Fix for a solid’s return statement in the intro tutorial. Thanks @dbready!
  • Fix for a bug with output keys in the s3_pickle_io_manager. Thanks @jiafi!

Breaking Changes#

  • We have renamed a lot of our GraphQL Types to reflect our emphasis on the new job/op/graph APIs. We have made the existing types backwards compatible so that GraphQL fragments should still work. However, if you are making custom GraphQL requests to your Dagit webserver, you may need to change your code to handle the new types.
  • We have paired our GraphQL changes with changes to our Python GraphQL client. If you have upgraded the version of your Dagit instance, you will most likely also want to upgrade the version of your Python GraphQL client.

Improvements#

  • Solid, op, pipeline, job, and graph descriptions that are inferred from docstrings now have leading whitespaces stripped out.
  • Improvements to how we cache and store step keys should speed up dynamic workflows with many dynamic outputs significantly.

Bugfixes#

  • Fixed a bug where kwargs could not be used to set the context when directly invoking a solid. IE my_solid(context=context_obj).
  • Fixed a bug where celery-k8s config did not work in the None case:
execution:
  celery-k8s:

Experimental#

  • Removed the lakehouse library, whose functionality is subsumed by @asset and build_assets_job in Dagster core.

Documentation#

  • Removed the trigger_pipeline example, which was not referenced in docs.
  • dagster-mlflow APIs have been added to API docs.

0.12.15#

Community Contributions#

  • You can now configure credentials for the GCSComputeLogManager using a string or environment variable instead of passing a path to a credentials file. Thanks @silentsokolov!
  • Fixed a bug in the dagster-dbt integration that caused the DBT RPC solids not to retry when they received errors from the server. Thanks @cdchan!
  • Improved helm schema for the QueuedRunCoordinator config. Thanks @cvb!

Bugfixes#

  • Fixed a bug where dagster instance migrate would run out of memory when migrating over long run histories.

Experimental#

  • Fixed broken links in the Dagit workspace table view for the experimental software-defined assets feature.