cronitor pin to allow versions >= 5.0.1 to enable use of DayOfWeek as 7. Cronitor 4.0.0 is still disallowed. (Thanks, @joshuataylor!)checkDbReadyInitContainer to optionally disable db check initContainer.kind tags. (Thanks, @dragos-pop!)Re-executions.kind tag for display in the UI.DataprocResource now receives an optional parameter labels to be attached to Dataproc clusters. (Thanks, @thiagoazcampos!)checkDbReadyInitContainer flag to the Dagster Helm chart to allow disabling the default init container behavior. (Thanks, @easontm!)build_materialize_workbook_assets_definition which can be used to build assets that run materialize schedules for a Sigma workbook.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.BackfillPolicy are now evaluated correctly during backfills. Self dependent assets no longer result in serial partition submissions or disregarded upstream dependencies.PipesCloudWatchMessageReader correctly identifies streams which are not ready yet and doesn't fail on ThrottlingException. (Thanks, @jenkoian!)FivetranWorkspace.sync_and_poll(...).fetch_column_metadata().dlt_assets API docs. (Thanks, @zilto!)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.@fivetran_assets decorator.load_fivetran_asset_specs has been updated to accept an instance of DagsterFivetranTranslator or custom subclass.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.ECSPipesClient.run now waits up to 70 days for tasks completion (waiter parameters are configurable) (Thanks @jenkoian!)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.icechunk kind.ConsolidatedSqliteEventLogStorage, which is mostly used for tests.1.6.0 may need to run dagster instance migrate to enable.map_asset_specs to enable modifying AssetSpecs and AssetsDefinitions in bulk.AssetSpec.replace_attributes and AssetSpec.merge_attributes to easily alter properties of an asset spec.PipesS3MessageReader now has a new parameter include_stdio_in_messages which enables log forwarding to Dagster via Pipes messages.log_external_stream has been added. It can be used to forward external logs to Dagster via Pipes messages.load_powerbi_asset_specs(..., use_workspace_scan=False).dagster-sigma snapshot command, allowing Sigma workspaces to be captured to a file for faster subsequent loading.DagsterExecutionStepNotFoundError errors when trying to execute an asset check step of a run launched by a backfill.owners added to AssetOuts when defining a @graph_multi_asset were not added to the underlying AssetsDefinition.& or | operators on AutomationConditions with labels would cause that label to be erased.SigmaFilter no longer fetch lineage information.DagsterPowerBITranslator.get_asset_key is deprecated in favor of DagsterPowerBITranslator.get_asset_spec().keyDagsterLookerApiTranslator.get_asset_key is deprecated in favor of DagsterLookerApiTranslator.get_asset_spec().keyDagsterSigmaTranslator.get_asset_key is deprecated in favor of DagsterSigmaTranslator.get_asset_spec().keyDagsterTableauTranslator.get_asset_key is deprecated in favor of DagsterTableauTranslator.get_asset_spec().keyAdded 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.
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.
monitor_all_code_locations and monitored_jobs did not raise the expected error. (Thanks, @apetryla!)AutomationCondition.any_deps_match() and AutomationCondition.all_deps_match() to render incorrectly when allow_selection or ignore_selection were set.CacheableAssetsDefinitions in code locations that contained AutomationConditionsToo many open files errors for jobs with many steps.dagster-dingtalk to the list of community supported libraries.dagster-wandb (Weights and Biases) documentation. (Thanks, @matt-weingarten!)dagster-sigma documentation.AssetOut.from_spec, that will construct an AssetOut from an AssetSpec.Column name section of the asset overview page.gcs (Google Cloud Storage) kind tag.report and semanticmodel kind tags.EcsRunLauncher. (Thanks, @zyd14!)DagsterDbtTranslator.get_code_version to customize the code version for your dbt assets. (Thanks, @Grzyblon!)PipesClientCompletedInvocation. This metadata will be attached to all materializations and asset checks stored during the pipes invocation.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.AutomationCondition.run_in_progress that would cause it to ignore queued runs.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.0 in cases where all partitions were evaluated./ characters now work correctly with Dagster Pipes.dagster-airlift.types-sqlalchemy package is no longer included in the dagster[pyright] extra package.dagster project scaffold now has an option to create dagster projects from templates with excluded files/filepaths.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.DagsterFivetranTranslator to customize assets loaded from Fivetran.dagster_snowflake.fetch_last_updated_timestamps now supports ignoring tables not found in Snowflake instead of raising an error.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.dagster instance migrate on Dagster version 1.9.0 constructed a SQL query that exceeded the maximum allowed depth.ImportErrors are no longer raised when bigquery libraries are not installed [#25708]New
dagster run delete CLI command to delete a run and its associated event log entries.partition_days_offset argument to the @daily_schedule decorator that allows you to customize which partition is used for each execution of your schedule. The default value of this parameter is 1, which means that a schedule that runs on day N will fill in the partition for day N-1. To create a schedule that uses the partition for the current day, set this parameter to 0, or increase it to make the schedule use an earlier day’s partition. Similar arguments have also been added for the other partitioned schedule decorators (@monthly_schedule, @weekly_schedule, and @hourly_schedule).dagster new-repo command now includes a workspace.yaml file for your new repository.workspace.yaml file to load your pipelines, you can now specify an environment variable for the server’s hostname and port. For example, this is now a valid workspace:load_from: - grpc_server: host: env: FOO_HOST port: env: FOO_PORT
Integrations
K8sRunLauncher and CeleryK8sRunLauncher no longer reload the pipeline being executed just before launching it. The previous behavior ensured that the latest version of the pipeline was always being used, but was inconsistent with other run launchers. Instead, to ensure that you’re running the latest version of your pipeline, you can refresh your repository in Dagit by pressing the button next to the repository name.Bug Fixes
--path-prefix option. This has been fixed.ModeDefinition that contains a single executor, that executor is now selected by default.reconstructable on pipelines with that were also decorated with hooks no longer raises an error.dagster-daemon liveness-check command previously returned false when daemons surfaced non-fatal errors to be displayed in Dagit, leading to crash loops in Kubernetes. The command has been fixed to return false only when the daemon has stopped running.OutputDefinitions with io_manager_keys, or InputDefinitions with root_manager_keys, but any of the modes provided for the pipeline definition do not include a resource definition for the required key, Dagster now raises an error immediately instead of when the pipeline is executed.dagster-dbt has been updated to handle the new run_results.json schema for dbt 0.19.0.Dependencies
Documentation
Community Contributions
/License for packages that claim distribution under Apache-2.0 (thanks @bollwyvl!)New
dagster/dagster-k8s and dagster/dagster-celery-k8s can be
used for all processes which don't require user code (Dagit, Daemon, and Celery workers when using the CeleryK8sExecutor). user-code-example can
be used for a sample user repository. The prior images (k8s-dagit, k8s-celery-worker, k8s-example)
are deprecated.configured api on solids now enforces name argument as positional. The name argument remains a keyword argument on executors. name argument has been removed from resources, and loggers to reflect that they are anonymous. Previously, you would receive an error message if the name argument was provided to configured on resources or loggers.minimum_interval_seconds field, the overall sensor daemon interval can now be configured in the dagster.yaml instance settings with:sensor_settings: interval_seconds: 30 # (default)
This changes the interval at which the daemon checks for sensors which haven't run within their minimum_interval_seconds.
TypeCheckdagster-daemon process now runs each of its daemons in its own thread. This allows the scheduler, sensor loop, and daemon for launching queued runs to run in parallel, without slowing each other down. The dagster-daemon process will shut down if any of the daemon threads crash or hang, so that the execution environment knows that it needs to be restarted.dagster new-repo is a new CLI command that generates a Dagster repository with skeleton code in your filesystem. This CLI command is experimental and it may generate different files in future versions, even between dot releases. As of 0.10.5, dagster new-repo does not support Windows. See here for official API docs.grpc_server repository location, Dagit will automatically detect changes and prompt you to reload when the remote server updates.Integrations
Bugfixes
Bugfixes
New
minimum_interval_seconds argument, which determines the minimum amount of time between sensor evaluations.Bugfixes
-n/--max_workers default value for the dagster api grpc command to be None. When set to None, the gRPC server will use the default number of workers which is based on the CPU count. If you were previously setting this value to 1, we recommend removing the argument or increasing the number.Community Contributions
New
Bugfixes
Fixed an issue where run start times and end times were displayed in the wrong timezone in Dagit when using Postgres storage.
Schedules with partitions that weren’t able to execute due to not being able to find a partition will now display the name of the partition they were unable to find on the “Last tick” entry for that schedule.
Improved timing information display for queued and canceled runs within the Runs table view and on individual Run pages in Dagit.
Improvements to the tick history view for schedules and sensors.
Fixed formatting issues on the Dagit instance configuration page.
Miscellaneous Dagit bugfixes and improvements.
The dagster pipeline launch command will now respect run concurrency limits if they are applied on your instance.
Fixed an issue where re-executing a run created by a sensor would cause the daemon to stop executing any additional runs from that sensor.
Sensor runs with invalid run configuration will no longer create a failed run - instead, an error will appear on the page for the sensor, allowing you to fix the configuration issue.
General dagstermill housekeeping: test refactoring & type annotations, as well as repinning ipykernel to solve #3401
Documentation