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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.

0.7.8#

Breaking Changes

  • The execute_pipeline_with_mode and execute_pipeline_with_preset APIs have been dropped in favor of new top level arguments to execute_pipeline, mode and preset.
  • The use of RunConfig to pass options to execute_pipeline has been deprecated, and RunConfig will be removed in 0.8.0.
  • The execute_solid_within_pipeline and execute_solids_within_pipeline APIs, intended to support tests, now take new top level arguments mode and preset.

New

  • The dagster-aws Redshift resource now supports providing an error callback to debug failed queries.
  • We now persist serialized execution plans for historical runs. They will render correctly even if the pipeline structure has changed or if it does not exist in the current loaded repository.
  • Clicking on a pipeline tag in the Runs view will apply that tag as a filter.

Bugfix

  • Fixed a bug where telemetry logger would create a log file (but not write any logs) even when telemetry was disabled.

Experimental

  • The dagster-airflow package supports ingesting Airflow dags and running them as dagster pipelines (see: make_dagster_pipeline_from_airflow_dag). This is in the early experimentation phase.
  • Improved the layout of the experimental partition runs table on the Schedules detailed view.

Documentation

  • Fixed a grammatical error (Thanks @flowersw!)

0.7.7#

Breaking Changes

  • The default sqlite and dagster-postgres implementations have been altered to extract the event step_key field as a column, to enable faster per-step queries. You will need to run dagster instance migrate to update the schema. You may optionally migrate your historical event log data to extract the step_key using the migrate_event_log_data function. This will ensure that your historical event log data will be captured in future step-key based views. This event_log data migration can be invoked as follows:

    from dagster.core.storage.event_log.migration import migrate_event_log_data
from dagster import DagsterInstance

migrate_event_log_data(instance=DagsterInstance.get())

  • We have made pipeline metadata serializable and persist that along with run information. While there are no user-facing features to leverage this yet, it does require an instance migration. Run dagster instance migrate. If you have already run the migration for the event_log changes above, you do not need to run it again. Any unforeseen errors related to the new snapshot_id in the runs table or the new snapshots table are related to this migration.

  • dagster-pandas ColumnTypeConstraint has been removed in favor of ColumnDTypeFnConstraint and ColumnDTypeInSetConstraint.

New

  • You can now specify that dagstermill output notebooks be yielded as an output from dagstermill solids, in addition to being materialized.
  • You may now set the extension on files created using the FileManager machinery.
  • dagster-pandas typed PandasColumn constructors now support pandas 1.0 dtypes.
  • The Dagit Playground has been restructured to make the relationship between Preset, Partition Sets, Modes, and subsets more clear. All of these buttons have be reconciled and moved to the left side of the Playground.
  • Config sections that are required but not filled out in the Dagit playground are now detected and labeled in orange.
  • dagster-celery config now support using env: to load from environment variables.

Bugfix

  • Fixed a bug where selecting a preset in dagit would not populate tags specified on the pipeline definition.
  • Fixed a bug where metadata attached to a raised Failure was not displayed in the error modal in dagit.
  • Fixed an issue where reimporting dagstermill and calling dagstermill.get_context() outside of the parameters cell of a dagstermill notebook could lead to unexpected behavior.
  • Fixed an issue with connection pooling in dagster-postgres, improving responsiveness when using the Postgres-backed storages.

Experimental

  • Added a longitudinal view of runs for on the Schedule tab for scheduled, partitioned pipelines. Includes views of run status, execution time, and materializations across partitions. The UI is in flux and is currently optimized for daily schedules, but feedback is welcome.

0.7.6#

Breaking Changes

  • default_value in Field no longer accepts native instances of python enums. Instead the underlying string representation in the config system must be used.
  • default_value in Field no longer accepts callables.
  • The dagster_aws imports have been reorganized; you should now import resources from dagster_aws.<AWS service name>. dagster_aws provides s3, emr, redshift, and cloudwatch modules.
  • The dagster_aws S3 resource no longer attempts to model the underlying boto3 API, and you can now just use any boto3 S3 API directly on a S3 resource, e.g. context.resources.s3.list_objects_v2. (#2292)

New

  • New Playground view in dagit showing an interactive config map
  • Improved storage and UI for showing schedule attempts
  • Added the ability to set default values in InputDefinition
  • Added CLI command dagster pipeline launch to launch runs using a configured RunLauncher
  • Added ability to specify pipeline run tags using the CLI
  • Added a pdb utility to SolidExecutionContext to help with debugging, available within a solid as context.pdb
  • Added PresetDefinition.with_additional_config to allow for config overrides
  • Added resource name to log messages generated during resource initialization
  • Added grouping tags for runs that have been retried / reexecuted.

Bugfix

  • Fixed a bug where date range partitions with a specified end date was clipping the last day
  • Fixed an issue where some schedule attempts that failed to start would be marked running forever.
  • Fixed the @weekly partitioned schedule decorator
  • Fixed timezone inconsistencies between the runs view and the schedules view
  • Integers are now accepted as valid values for Float config fields
  • Fixed an issue when executing dagstermill solids with config that contained quote characters.

dagstermill

  • The Jupyter kernel to use may now be specified when creating dagster notebooks with the --kernel flag.

dagster-dbt

  • dbt_solid now has a Nothing input to allow for sequencing

dagster-k8s

  • Added get_celery_engine_config to select celery engine, leveraging Celery infrastructure

Documentation

  • Improvements to the airline and bay bikes demos
  • Improvements to our dask deployment docs (Thanks jswaney!!)

0.7.5#

New

  • Added the IntSource type, which lets integers be set from environment variables in config.

  • You may now set tags on pipeline definitions. These will resolve in the following cases:

    1. Loading in the playground view in Dagit will pre-populate the tag container.
    2. Loading partition sets from the preset/config picker will pre-populate the tag container with the union of pipeline tags and partition tags, with partition tags taking precedence.
    3. Executing from the CLI will generate runs with the pipeline tags.
    4. Executing programmatically using the execute_pipeline api will create a run with the union of pipeline tags and RunConfig tags, with RunConfig tags taking precedence.
    5. Scheduled runs (both launched and executed) will have the union of pipeline tags and the schedule tags function, with the schedule tags taking precedence.

  • Output materialization configs may now yield multiple Materializations, and the tutorial has been updated to reflect this.

  • We now export the SolidExecutionContext in the public API so that users can correctly type hint solid compute functions.

Dagit

  • Pipeline run tags are now preserved when resuming/retrying from Dagit.
  • Scheduled run stats are now grouped by partition.
  • A "preparing" section has been added to the execution viewer. This shows steps that are in progress of starting execution.
  • Markers emitted by the underlying execution engines are now visualized in the Dagit execution timeline.

Bugfix

  • Resume/retry now works as expected in the presence of solids that yield optional outputs.
  • Fixed an issue where dagster-celery workers were failing to start in the presence of config values that were None.
  • Fixed an issue with attempting to set threads_per_worker on Dask distributed clusters.

dagster-postgres

  • All postgres config may now be set using environment variables in config.

dagster-aws

  • The s3_resource now exposes a list_objects_v2 method corresponding to the underlying boto3 API. (Thanks, @basilvetas!)
  • Added the redshift_resource to access Redshift databases.

dagster-k8s

  • The K8sRunLauncher config now includes the load_kubeconfig and kubeconfig_file options.

Documentation

  • Fixes and improvements.

Dependencies

  • dagster-airflow no longer pins its werkzeug dependency.

Community

  • We've added opt-in telemetry to Dagster so we can collect usage statistics in order to inform development priorities. Telemetry data will motivate projects such as adding features in frequently-used parts of the CLI and adding more examples in the docs in areas where users encounter more errors.

    We will not see or store solid definitions (including generated context) or pipeline definitions (including modes and resources). We will not see or store any data that is processed within solids and pipelines.

    If you'd like to opt in to telemetry, please add the following to $DAGSTER_HOME/dagster.yaml:

    telemetry:
  enabled: true

  • Thanks to @basilvetas and @hspak for their contributions!

0.7.4#

New

  • It is now possible to use Postgres to back schedule storage by configuring dagster_postgres.PostgresScheduleStorage on the instance.
  • Added the execute_pipeline_with_mode API to allow executing a pipeline in test with a specific mode without having to specify RunConfig.
  • Experimental support for retries in the Celery executor.
  • It is now possible to set run-level priorities for backfills run using the Celery executor by passing --celery-base-priority to dagster pipeline backfill.
  • Added the @weekly schedule decorator.

Deprecations

  • The dagster-ge library has been removed from this release due to drift from the underlying Great Expectations implementation.

dagster-pandas

  • PandasColumn now includes an is_optional flag, replacing the previous ColumnExistsConstraint.
  • You can now pass the ignore_missing_values flag to PandasColumn in order to apply column constraints only to the non-missing rows in a column.

dagster-k8s

  • The Helm chart now includes provision for an Ingress and for multiple Celery queues.

Documentation

  • Improvements and fixes.