Major changes since 1.8.0 (core) / 0.24.0 (libraries)

Automation

• Declarative Automation, the system which enables setting per-asset AutomationConditions, is no longer experimental. We now recommend using this system in all cases where asset-centric orchestration is desired. A suite of built-in static constructors have been added for common usecases, such as AutomationCondition.on_missing() (which can fill in missing partitions of assets as soon as upstream data is available), and AutomationCondition.all_deps_blocking_checks_passed() (which can prevent materialization of assets until all upstream blocking checks have passed).
• You can now assign AutomationConditions to asset checks, via the automation_condition parameter on @asset_check or AssetCheckSpec.
• You can now assign AutomationConditions to observable source assets, via the automation_condition parameter on @observable_source_asset.
• [experimental] You can now define custom subclasses of AutomationCondition to execute arbitrary Python code in the context of a broader expression. This allows you to compose built-in conditions with custom business logic.
• The target arguments on schedules and sensors are now marked stable, allowing a stable way for schedules and sensors to target asset selections without needing to define a job.

Integrations

• Introduced a slate of integrations with business intelligence (BI) tools, enabling dashboards, views, and reports to be represented in the Dagster asset graph.
  • Looker
  • Power BI
  • Sigma
  • Tableau
• A rich set of metadata is now automatically collected by our suite of ELT integrations.
  • The dagster/table_name metadata tag, containing the fully-qualified name of the destination model, has been added for Airbyte, dlt, Fivetran and Sling assets.
  • The dagster/row_count metadata tag, containing the number of records loaded in the corresponding run, has been added for dlt and Sling assets.
  • The dagster/column_schema metadata tag, containing column schema information of the destination tables, has been added for Fivetran assets.
  • Column lineage information is now collected for Sling assets.
• dagster-pipes are replacing the now deprecated Step Launchers as the new recommended approach for executing remote Spark jobs. Three new Pipes clients for running Spark applications on Amazon Web Services have been added:
  • dagster_aws.pipes.PipesGlueClient
  • dagster_aws.pipes.PipesEMRServerlessClient
  • dagster_aws.pipes.PipesEMRClient

UI

• Several changes have been made to the information architecture to make it easier to find what you’re looking for:
  • Backfills have been moved from their own tab underneath the Overview page to entries within the table on the Runs page. This reflects the fact that backfills and runs are similar entities that share most properties. You can continue to use the legacy Runs page with the “Revert to legacy Runs page” user setting. (GitHub Discussion)
  • “Jobs” is now a page reachable from the top-level navigation pane. It replaces the Jobs tab within the Overview page.
  • “Automations” is now a page reachable from the top-level navigation pane. It replaces the schedule and sensor tabs within the Overview page.
• @asset and AssetSpec now have a kinds attribute that enables specifying labels that show up on asset nodes in the asset graph in the UI. This supersedes the compute_kind attribute.

Changes since 1.8.13 (core) / 0.24.13 (libraries)

New

• The tags parameter to @asset and AssetSpec is no longer marked as experimental.
• The @observable_source_asset decorator now supports an automation_condition argument.
• AutomationCondition and associated APIs are no longer marked as experimental.
• Added a new use_user_code_server parameter to AutomationConditionSensorDefinition. If set, the sensor will be evaluated in the user code server (as traditional sensors are), allowing custom AutomationCondition subclasses to be evaluated.
• Added a new column to the BulkActions table, a new column to the Runs table, and a new BackfillTags table to improve the performance of the Runs page. To take advantage of these performance improvements, run dagster instance migrate. This migration involves a schema migration to add the new columns and table, and a data migration to populate the new columns for historical backfills and runs.
• Performance improvements when loading definitions with multi-assets with many asset keys.
• [ui] The previously-experimental changes to the top nav are now enabled for all users.
• [ui] Added new code location pages which provide information regarding library versions, metadata, and definitions.
• [ui] The new version of the Runs page is now enabled by default. To use the legacy version of the Runs page, toggle the "Revert to legacy Runs page" user setting.
• [ui] Clicking an asset with failed partitions on the asset health overview now takes you to a list of the failed partitions.
• [ui] The Materialize button runs pre-flight checks more efficiently, resulting in faster run launch times.
• [dagster-pipes] Added support for multi-container log streaming (thanks, @MattyKuzyk!)
• [dagster-docker] container_kwargs.stop_timeout can now be set when using the DockerRunLauncher or docker_executor to configure the amount of time that Docker will wait when terminating a run for it to clean up before forcibly stopping it with a SIGKILL signal.
• [dagster-dbt] Performance improvements when loading definitions using build_dbt_asset_selection.

Bugfixes

• [ui] Fixed redirect behavior on full pageloads of the legacy auto-materialize overview page.
• [ui] Plots for assets that emit materialization and observation events at different rates no longer display a time period missing the more frequent event type.
• [ui] Fixed issue causing scrolling to misbehave on the concurrency settings page.
• [helm] The blockOpConcurrencyLimitedRuns section of queuedRunCoordinator now correctly templates the appropriate config.
• [dagster-pipes] Fixed issue where k8s ops would fail after 4 hours (thanks, @MattyKuzyk!)

Documentation

• [dagster-dbt] Added guide for using dbt defer with Dagster branch deployments.
• [docs] Step Launchers documentation has been removed and replaced with references to Dagster Pipes.
• [docs] Fixed code example in Dagster Essentials (thanks, @aleexharris!)

Breaking Changes

• dagster no longer supports Python 3.8, which hit EOL on 2024-10-07.
• dagster now requires pydantic>=2.
• By default, AutomationConditionSensorDefinitions will now emit backfills to handle cases where more than one partition of an asset is requested on a given tick. This allows that asset's BackfillPolicy to be respected. This feature can be disabled by setting allow_backfills to False.
• Passing a custom PartitionsDefinition subclass into a Definitions object now issues an error instead of a deprecation warning.
• AssetExecutionContext is no longer a subclass of OpExecutionContext. At this release, AssetExecutionContext and OpExecutionContext implement the same methods, but in the future, the methods implemented by each class may diverge. If you have written helper functions with OpExecutionContext type annotations, they may need to be updated to include AssetExecutionContext depending on your usage. Explicit calls to isinstance(context, OpExecutionContext) will now fail if context is an AssetExecutionContext.
• The asset_selection parameter on AutomationConditionSensorDefinition has been renamed to target, to align with existing sensor APIs.
• The experimental freshness_policy_sensor has been removed, as it relies on the long-deprecated FreshnessPolicy API.
• The deprecated external_assets_from_specs and external_asset_from_spec methods have been removed. Users should use AssetsDefinition(specs=[...]), or pass specs directly into the Definitions object instead.
• AssetKey objects can no longer be iterated over or indexed in to. This behavior was never an intended access pattern and in all observed cases was a mistake.
• The dagster/relation_identifier metadata key has been renamed to dagster/table_name.
• [dagster-ge] dagster-ge now only supports great_expectations>=0.17.15. The ge_validation_op_factory API has been replaced with the API previously called ge_validation_op_factory_v3.
• [dagster-aws] Removed deprecated parameters from dagster_aws.pipes.PipesGlueClient.run.
• [dagster-embedded-elt] Removed deprecated parameter dlt_dagster_translator from @dlt_assets. The dagster_dlt_translator parameter should be used instead.
• [dagster-polars] Dropped support for saving storage-level arbitrary metadata via IOManagers.

Deprecations

• The DataBricksPysparkStepLauncher, EmrPySparkStepLauncher, and any custom subclass of StepLauncher have been marked as deprecated, but will not be removed from the codebase, meaning they will continue to function as they currently do for the foreseeable future. Their functionality has been superseded by the interfaces provided by dagster-pipes, and so future development work will be focused there.
• The experimental multi_asset_sensor has been marked as deprecated, as its main use cases have been superseded by the AutomationCondition APIs. However, it will not be removed from the codebase.