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.
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!)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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]
In Dagit, a new page has been added for user settings, including feature flags and timezone preferences. It can be accessed via the gear icon in the top right corner of the page.
SensorExecutionContext and ScheduleExecutionContext have been renamed to SensorEvaluationContext and ScheduleEvaluationContext, respectively. The old names will be supported until 0.12.0.
When turning on a schedule in Dagit, if the schedule had an identical name and identical pipeline name to a schedule in another repository in the workspace, both schedules would incorrectly appear to be turned on, due to a client-side rendering bug. The same bug occurred for sensors. This has now been fixed.
The “Copy URL” button on a Run view in Dagit was inoperative for users not using Dagit in localhost or https. This has been fixed.
Fixed a bug in Dagit where Dagit would leak memory for each websocket connection.
When executing pipeline that contains composite solids, the composite solids mistakenly ignored the upstream outputs. This bug was introduced in 0.11.15, and is now fixed.
The Python GraphQL client now includes a shutdown_repository_location API call that shuts down a gRPC server. This is useful in situations where you want Kubernetes to restart your server and re-create your repository definitions, even though the underlying Python code hasn’t changed (for example, if your pipelines are loaded programatically from a database)
io_manager_key and root_manager_key is disallowed on composite solids’ InputDefinitions and OutputDefinitions. Instead, custom IO managers on the solids inside composite solids will be respected:
@solid(input_defs=[InputDefinition("data", dagster_type=str, root_manager_key="my_root")])definner_solid(_, data):return data
@composite_soliddefmy_composite():return inner_solid()
Dagster libraries (for example, dagster-postgres or dagster-graphql) are now pinned to the same version as the core dagster package. This should reduce instances of issues due to backwards compatibility problems between Dagster packages.
Due to a recent regression, when viewing a launched run in Dagit, the Gantt chart would inaccurately show the run as queued well after it had already started running. This has been fixed, and the Gantt chart will now accurately reflect incoming logs.
In some cases, navigation in Dagit led to overfetching a workspace-level GraphQL query that would unexpectedly reload the entire app. The excess fetches are now limited more aggressively, and the loading state will no longer reload the app when workspace data is already available.
Previously, execution would fail silently when trying to use memoization with a root input manager. The error message now more clearly states that this is not supported.
Added an experimental EcsRunLauncher. This creates a new ECS Task Definition and launches a new ECS Task for each run. You can use the new ECS Reference Deployment to experiment with the EcsRunLauncher. We’d love your feedback in our #dagster-ecs Slack channel!
Supplying the "metadata" argument to InputDefinitions and OutputDefinitions is no longer considered experimental.
The "context" argument can now be omitted for solids that have required resource keys.
The S3ComputeLogManager now takes a boolean config argument skip_empty_files, which skips uploading empty log files to S3. This should enable a work around of timeout errors when using the S3ComputeLogManager to persist logs to MinIO object storage.
The Helm subchart for user code deployments now allows for extra manifests.
Running dagit with flag --suppress-warnings will now ignore all warnings, such as ExperimentalWarnings.
PipelineRunStatus, which represents the run status, is now exported in the public API.
The asset catalog now has better backwards compatibility for supporting deprecated Materialization events. Previously, these events were causing loading errors.
Added an example that demonstrates what a complete repository that takes advantage of many Dagster features might look like. Includes usage of IO Managers, modes / resources, unit tests, several cloud service integrations, and more! Check it out at examples/hacker_news!
retry_number is now available on SolidExecutionContext, allowing you to determine within a solid function how many times the solid has been previously retried.
Errors that are surfaced during solid execution now have clearer stack traces.
When using Postgres or MySQL storage, the database mutations that initialize Dagster tables on startup now happen in atomic transactions, rather than individual SQL queries.
For versions >=0.11.13, when specifying the --version flag when installing the Helm chart, the tags for Dagster-provided images in the Helm chart will now default to the current Chart version. For --version <0.11.13, the image tags will still need to be updated properly to use old chart version.
Removed the PIPELINE_INIT_FAILURE event type. A failure that occurs during pipeline initialization will now produce a PIPELINE_FAILURE as with all other pipeline failures.
When viewing run logs in Dagit, in the stdout/stderr log view, switching the filtered step did not work. This has been fixed. Additionally, the filtered step is now present as a URL query parameter.
The get_run_status method on the Python GraphQL client now returns a PipelineRunStatus enum instead of the raw string value in order to align with the mypy type annotation. Thanks to Dylan Bienstock for surfacing this bug!
When a docstring on a solid doesn’t match the reST, Google, or Numpydoc formats, Dagster no longer raises an error.
Fixed a bug where memoized runs would sometimes fail to execute when specifying a non-default IO manager key.
Added thek8s_job_executor, which executes solids in separate kubernetes jobs. With the addition of this executor, you can now choose at runtime between single pod and multi-pod isolation for solids in your run. Previously this was only configurable for the entire deployment - you could either use the K8sRunLauncher with the default executors (in_process and multiprocess) for low isolation, or you could use the CeleryK8sRunLauncher with the celery_k8s_job_executor for pod-level isolation. Now, your instance can be configured with the K8sRunLauncher and you can choose between the default executors or the k8s_job_executor.
The DagsterGraphQLClient now allows you to specify whether to use HTTP or HTTPS when connecting to the GraphQL server. In addition, error messages during query execution or connecting to dagit are now clearer. Thanks to @emily-hawkins for raising this issue!
Added experimental hook invocation functionality. Invoking a hook will call the underlying decorated function. For example:
from dagster import build_hook_context
my_hook(build_hook_context(resources={"foo_resource": "foo"}))
Resources can now be directly invoked as functions. Invoking a resource will call the underlying decorated initialization function.
ScheduleDefinition and SensorDefinition now carry over properties from functions decorated by @sensor and @schedule. Ie: docstrings.
Fixed a bug with configured on resources where the version set on a ResourceDefinition was not being passed to the ResourceDefinition created by the call to configured.
Previously, if an error was raised in an IOManagerhandle_output implementation that was a generator, it would not be wrapped DagsterExecutionHandleOutputError. Now, it is wrapped.
Dagit will now gracefully degrade if websockets are not available. Previously launching runs and viewing the event logs would block on a websocket conection.
Added an example of run attribution via a custom run coordinator, which reads a user’s email from HTTP headers on the Dagster GraphQL server and attaches the email as a run tag. Custom run coordinator are also now specifiable in the Helm chart, under queuedRunCoordinator. See the docs for more information on setup.
RetryPolicy now supports backoff and jitter settings, to allow for modulating the delay as a function of attempt number and randomness.