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]Community Contributions
dagster new-project, which broke on the 0.11.0 release (Thank you @saulius!)New
Bugfixes
--path-prefix option. Custom fonts and their CSS have now been removed, and system fonts are now used for both normal and monospace text.AssetKeys to solid outputs through either the OutputDefinition or IOManager, which allows Dagster to automatically generate asset lineage information for assets referenced in this way. Direct parents of an asset will appear in the Dagit Asset Catalog. See the asset docs to learn more.DynamicOutput and map from the last release, this release includes the ability to collect over dynamically mapped outputs. You can see an example here.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).ardescription parameter that takes in a human-readable string description and displays it on the corresponding landing page in Dagit.AssetMaterialization now accepts a tags argument. Tags can be used to filter assets in Dagit.QueuedRunCoordinator daemon is now more resilient to errors while dequeuing runs. Previously runs which could not launch would block the queue. They will now be marked as failed and removed from the queue.dagster-daemon process uses fewer resources and spins up fewer subprocesses to load pipeline information. Previously, the scheduler, sensor, and run queue daemon each spun up their own process for this–now they share a single process.dagster-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.workspace.yaml file to load your pipelines, you can now specify an environment variable for the server’s hostname and port.dagster run delete CLI command to delete a run and its associated event log entries.fs_io_manager now defaults the base directory to base_dir via the Dagster instance’s local_artifact_storage configuration. Previously, it defaulted to the directory where the pipeline was executed.handle_output, load_input, or a type check function, the log output now includes context about which input or output the error occurred during.BoolSource config type (similar to the StringSource type). The config value for this type can be a boolean literal or a pointer to an environment variable that is set to a boolean value.DagsterNoStepsToExecuteException.OutputContext passed to the has_output method of MemoizableIOManager now includes a working log.workspace.yaml file without restarting Dagit. To reload your workspace, navigate to the Status page and press the “Reload all” button in the Workspace section.step and type filtering now offers fuzzy search, all log event types are now searchable, and visual bugs within the input have been repaired. Additionally, the default setting for “Hide non-matches” has been flipped to true.grpc_server repository location, Dagit will automatically detect changes and prompt you to reload when the remote server updates.dagster asset wipe.snowflake_resource can now be configured to use the SQLAlchemy connector (thanks @basilvetas!)seed and docs generate are now available as solids in the library dagster-dbt. (thanks @dehume-drizly!)dagster-spark config schemas now support loading values for all fields via environment variables.gcs_pickle_io_manager now also retries on 403 Forbidden errors, which previously would only retry on 429 TooManyRequests.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.userDeployments.deployments in the Helm chart, replicaCount now defaults to 1 if not specified.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.dagster-k8s, dagster-celery-k8s, user-code-example, and k8s-dagit-example images to a public ECR registry in addition to DockerHub. If you are encountering rate limits when attempting to pull images from DockerHub, you should now be able to pull these images from public.ecr.aws/dagster..Values.dagsterHome is now a global variable, available at .Values.global.dagsterHome..Values.global.postgresqlSecretName has been introduced, for subcharts to access the Dagster Helm chart’s generated Postgres secret properly..Values.userDeployments has been renamed .Values.dagster-user-deployments to reference the subchart’s values. When using Dagster User Deployments, enabling .Values.dagster-user-deployments.enabled will create a workspace.yaml for Dagit to locate gRPC servers with user code. To create the actual gRPC servers, .Values.dagster-user-deployments.enableSubchart should be enabled. To manage the gRPC servers in a separate Helm release, .Values.dagster-user-deployments.enableSubchart should be disabled, and the subchart should be deployed in its own helm release.Schedules now run in UTC (instead of the system timezone) if no timezone has been set on the schedule. If you’re using a deprecated scheduler like SystemCronScheduler or K8sScheduler, we recommend that you switch to the native Dagster scheduler. The deprecated schedulers will be removed in the next Dagster release.
Names provided to alias on solids now enforce the same naming rules as solids. You may have to update provided names to meet these requirements.
The retries method on Executor should now return a RetryMode instead of a Retries. This will only affect custom Executor classes.
Submitting partition backfills in Dagit now requires dagster-daemon to be running. The instance setting in dagster.yaml to optionally enable daemon-based backfills has been removed, because all backfills are now daemon-based backfills.
# removed, no longer a valid setting in dagster.yaml backfill: daemon_enabled: true
The corresponding value flag dagsterDaemon.backfill.enabled has also been removed from the Dagster helm chart.
dagster.yaml has been removed. The sensor daemon now runs in a continuous loop so this customization is no longer useful.# removed, no longer a valid setting in dagster.yaml sensor_settings: interval_seconds: 10
instance argument to RunLauncher.launch_run has been removed. If you have written a custom RunLauncher, you’ll need to update the signature of that method. You can still access the DagsterInstance on the RunLauncher via the _instance parameter.has_config_entry, has_configurable_inputs, and has_configurable_outputs properties of solid and composite_solid have been removed.name argument to PipelineDefinition has been removed, and the argument is now required.execute_run_with_structured_logs and execute_step_with_structured_logs internal CLI entry points have been removed. Use execute_run or execute_step instead.python_environment key has been removed from workspace.yaml. Instead, to specify that a repository location should use a custom python environment, set the executable_path key within a python_file, python_module, or python_package key. See the docs for more information on configuring your workspace.yaml file.read or to keys accordingly.Bugfixes
Community Contributions
seed and docs generate are now available as solids in the
library dagster-dbt. (thanks @dehume-drizly!)New
Dagit now has a global search feature in the left navigation, allowing you to jump quickly to pipelines, schedules, and sensors across your workspace. You can trigger search by clicking the search input or with the / keyboard shortcut.
Timestamps in Dagit have been updated to be more consistent throughout the app, and are now localized based on your browser’s settings.
Adding SQLPollingEventWatcher for alternatives to filesystem or DB-specific listen/notify
functionality
We have added the BoolSource config type (similar to the StringSource type). The config value for
this type can be a boolean literal or a pointer to an environment variable that is set to a boolean
value.
The QueuedRunCoordinator daemon is now more resilient to errors while dequeuing runs. Previously
runs which could not launch would block the queue. They will now be marked as failed and removed
from the queue.
When deploying your own gRPC server for your pipelines, you can now specify that connecting to that
server should use a secure SSL connection. For example, the following workspace.yaml file specifies
that a secure connection should be used:
load_from: - grpc_server: host: localhost port: 4266 location_name: "my_grpc_server" ssl: true
The dagster-daemon process uses fewer resources and spins up fewer subprocesses to load pipeline
information. Previously, the scheduler, sensor, and run queue daemon each spun up their own process
for this–now they share a single process.
Integrations
dagster-k8s, dagster-celery-k8s, user-code-example, and
k8s-dagit-example images to a public ECR registry in addition to DockerHub. If you are
encountering rate limits when attempting to pull images from DockerHub, you should now be able to
pull these images from public.ecr.aws/dagster.dagster-spark config schemas now support loading values for all fields via
environment variables.Bugfixes
redis.internal
is set to True in helm chart.dagster-daemon process sometimes left dangling subprocesses running
during sensor execution, causing excess resource usage.tag method on solid invocations (as opposed to solid
definitions) are now correctly propagated during execution. They were previously being ignored.Experimental
MySQL (via dagster-mysql) is now supported as a backend for event log, run, & schedule storages. Add the following to your dagster.yaml to use MySQL for storage:
run_storage: module: dagster_mysql.run_storage class: MySQLRunStorage config: mysql_db: username: { username } password: { password } hostname: { hostname } db_name: { database } port: { port } event_log_storage: module: dagster_mysql.event_log class: MySQLEventLogStorage config: mysql_db: username: { username } password: { password } hostname: { hostname } db_name: { db_name } port: { port } schedule_storage: module: dagster_mysql.schedule_storage class: MySQLScheduleStorage config: mysql_db: username: { username } password: { password } hostname: { hostname } db_name: { db_name } port: { port }
New
dagster instance migrate to upgrade.step and type filtering now offer fuzzy search, all log event types are now searchable, and visual bugs within the input have been repaired. Additionally, the default setting for “Hide non-matches” has been flipped to true.dagster-daemon process now runs faster when running multiple schedulers or sensors from the same repository.fs_io_manager now defaults the base directory to base_dir via the Dagster instance’s local_artifact_storage configuration. Previously, it defaults to the directory where the pipeline is executed.versioned_filesystem_io_manager and custom_path_fs_io_manager now require base_dir as part of the resource configs. Previously, the base_dir defaulted to the directory where the pipeline was executed.dagster instance migrate and configuring your instance with the following settings in dagster.yaml:There is a corresponding flag in the Dagster helm chart to enable this instance configuration. See the Helm chart’s values.yaml file for more information.
description parameter that takes in a human-readable string description and displays it on the corresponding landing page in Dagit.Integrations
gcs_pickle_io_manager now also retries on 403 Forbidden errors, which previously would only retry on 429 TooManyRequests.Bug Fixes
Tuple with nested inner types in solid definitions no longer causes GraphQL errorsdagster new-repo should now properly generate subdirectories and files, without needing to install dagster from source (e.g. with pip install --editable).Dependencies
pendulum datetime/timezone library.Documentation