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Changelog#

1.6.9 (core) / 0.22.8 (libraries)#

New#

  • [ui] When viewing logs for a run, the date for a single log row is now shown in the tooltip on the timestamp. This helps when viewing a run that takes place over more than one date.
  • Added suggestions to the error message when selecting asset keys that do not exist as an upstream asset or in an AssetSelection.
  • Improved error messages when trying to materialize a subset of a multi-asset which cannot be subset.
  • [dagster-snowflake] dagster-snowflake now requires snowflake-connector-python>=3.4.0
  • [embedded-elt] @sling_assets accepts an optional name parameter for the underlying op
  • [dagster-openai] dagster-openai library is now available.
  • [dagster-dbt] Added a new setting on DagsterDbtTranslatorSettings called enable_duplicate_source_asset_keys that allows users to set duplicate asset keys for their dbt sources. Thanks @hello-world-bfree!
  • Log messages in the Dagster daemon for unloadable sensors and schedules have been removed.
  • [ui] Search now uses a cache that persists across pageloads which should greatly improve search performance for very large orgs.
  • [ui] groups/code locations in the asset graph’s sidebar are now sorted alphabetically.

Bugfixes#

  • Fixed issue where the input/output schemas of configurable IOManagers could be ignored when providing explicit input / output run config.
  • Fixed an issue where enum values could not properly have a default value set in a ConfigurableResource.
  • Fixed an issue where graph-backed assets would sometimes lose user-provided descriptions due to a bug in internal copying.
  • [auto-materialize] Fixed an issue introduced in 1.6.7 where updates to ExternalAssets would be ignored when using AutoMaterializePolicies which depended on parent updates.
  • [asset checks] Fixed a bug with asset checks in step launchers.
  • [embedded-elt] Fix a bug when creating a SlingConnectionResource where a blank keyword argument would be emitted as an environment variable
  • [dagster-dbt] Fixed a bug where emitting events from dbt source freshness would cause an error.
  • [ui] Fixed a bug where using the “Terminate all runs” button with filters selected would not apply the filters to the action.
  • [ui] Fixed an issue where typing a search query into the search box before the search data was fetched would yield “No results” even after the data was fetched.

Community Contributions#

  • [docs] fixed typo in embedded-elt.mdx (thanks @cameronmartin)!
  • [dagster-databricks] log the url for the run of a databricks job (thanks @smats0n)!
  • Fix missing partition property (thanks christeefy)!
  • Add op_tags to @observable_source_asset decorator (thanks @maxfirman)!
  • [docs] typo in MultiPartitionMapping docs (thanks @dschafer)
  • Allow github actions to checkout branch from forked repo for docs changes (ci fix) (thanks hainenber)!

Experimental#

  • [asset checks] UI performance of asset checks related pages has been improved.
  • [dagster-dbt] The class DbtArtifacts has been added for managing the behavior of rebuilding the manifest during development but expecting a pre-built one in production.

Documentation#

  • Added example of writing compute logs to AWS S3 when customizing agent configuration.
  • "Hello, Dagster" is now "Dagster Quickstart" with the option to use a Github Codespace to explore Dagster.
  • Improved guides and reference to better running multiple isolated agents with separate queues on ECS.

Dagster Cloud#

  • Microsoft Teams is now supported for alerts. Documentation
  • A send sample alert button now exists on both the alert policies page and in the alert policies editor to make it easier to debug and configure alerts without having to wait for an event to kick them off.

1.6.8 (core) / 0.22.8 (libraries)#

Bugfixes#

  • [dagster-embedded-elt] Fixed a bug in the SlingConnectionResource that raised an error when connecting to a database.

Experimental#

  • [asset checks] graph_multi_assets with check_specs now support subsetting.

1.6.7 (core) / 0.22.7 (libraries)#

New#

  • Added a new run_retries.retry_on_op_or_asset_failures setting that can be set to false to make run retries only occur when there is an unexpected failure that crashes the run, allowing run-level retries to co-exist more naturally with op or asset retries. See the docs for more information.
  • dagster dev now sets the environment variable DAGSTER_IS_DEV_CLI allowing subprocesses to know that they were launched in a development context.
  • [ui] The Asset Checks page has been updated to show more information on the page itself rather than in a dialog.

Bugfixes#

  • [ui] Fixed an issue where the UI disallowed creating a dynamic partition if its name contained the “|” pipe character.
  • AssetSpec previously dropped the metadata and code_version fields, resulting in them not being attached to the corresponding asset. This has been fixed.

Experimental#

  • The new @multi_observable_source_asset decorator enables defining a set of assets that can be observed together with the same function.
  • [dagster-embedded-elt] New Asset Decorator @sling_assets and Resource SlingConnectionResource have been added for the [dagster-embedded-elt.sling](http://dagster-embedded-elt.sling) package. Deprecated build_sling_asset, SlingSourceConnection and SlingTargetConnection.
  • Added support for op-concurrency aware run dequeuing for the QueuedRunCoordinator.

Documentation#

  • Fixed reference documentation for isolated agents in ECS.
  • Corrected an example in the Airbyte Cloud documentation.
  • Added API links to OSS Helm deployment guide.
  • Fixed in-line pragmas showing up in the documentation.

Dagster Cloud#

  • Alerts now support Microsoft Teams.
  • [ECS] Fixed an issue where code locations could be left undeleted.
  • [ECS] ECS agents now support setting multiple replicas per code server.
  • [Insights] You can now toggle the visibility of a row in the chart by clicking on the dot for the row in the table.
  • [Users] Added a new column “Licensed role” that shows the user's most permissive role.

1.6.6 (core) / 0.22.6 (libraries)#

New#

  • Dagster officially supports Python 3.12.
  • dagster-polars has been added as an integration. Thanks @danielgafni!
  • [dagster-dbt] @dbt_assets now supports loading projects with semantic models.
  • [dagster-dbt] @dbt_assets now supports loading projects with model versions.
  • [dagster-dbt] get_asset_key_for_model now supports retrieving asset keys for seeds and snapshots. Thanks @aksestok!
  • [dagster-duckdb] The Dagster DuckDB integration supports DuckDB version 0.10.0.
  • [UPath I/O manager] If a non-partitioned asset is updated to have partitions, the file containing the non-partitioned asset data will be deleted when the partitioned asset is materialized, rather than raising an error.

Bugfixes#

  • Fixed an issue where creating a backfill of assets with dynamic partitions and a backfill policy would sometimes fail with an exception.
  • Fixed an issue with the type annotations on the @asset decorator causing a false positive in Pyright strict mode. Thanks @tylershunt!
  • [ui] On the asset graph, nodes are slightly wider allowing more text to be displayed, and group names are no longer truncated.
  • [ui] Fixed an issue where the groups in the asset graph would not update after an asset was switched between groups.
  • [dagster-k8s] Fixed an issue where setting the security_context field on the k8s_job_executor didn't correctly set the security context on the launched step pods. Thanks @krgn!

Experimental#

  • Observable source assets can now yield ObserveResults with no data_version.
  • You can now include FreshnessPolicys on observable source assets. These assets will be considered “Overdue” when the latest value for the “dagster/data_time” metadata value is older than what’s allowed by the freshness policy.
  • [ui] In Dagster Cloud, a new feature flag allows you to enable an overhauled asset overview page with a high-level stakeholder view of the asset’s health, properties, and column schema.

Documentation#

  • Updated docs to reflect newly-added support for Python 3.12.

Dagster Cloud#

  • [kubernetes] Fixed an issue where the Kubernetes agent would sometimes leave dangling kubernetes services if the agent was interrupted during the middle of being terminated.

1.6.5 (core) / 0.22.5 (libraries)#

New#

  • Within a backfill or within auto-materialize, when submitting runs for partitions of the same assets, runs are now submitted in lexicographical order of partition key, instead of in an unpredictable order.
  • [dagster-k8s] Include k8s pod debug info in run worker failure messages.
  • [dagster-dbt] Events emitted by DbtCliResource now include metadata from the dbt adapter response. This includes fields like rows_affected, query_id from the Snowflake adapter, or bytes_processed from the BigQuery adapter.

Bugfixes#

  • A previous change prevented asset backfills from grouping multiple assets into the same run when using BackfillPolicies under certain conditions. While the backfills would still execute in the proper order, this could lead to more individual runs than necessary. This has been fixed.
  • [dagster-k8s] Fixed an issue introduced in the 1.6.4 release where upgrading the Helm chart without upgrading the Dagster version used by user code caused failures in jobs using the k8s_job_executor.
  • [instigator-tick-logs] Fixed an issue where invoking context.log.exception in a sensor or schedule did not properly capture exception information.
  • [asset-checks] Fixed an issue where additional dependencies for dbt tests modeled as Dagster asset checks were not properly being deduplicated.
  • [dagster-dbt] Fixed an issue where dbt model, seed, or snapshot names with periods were not supported.

Experimental#

  • @observable_source_asset-decorated functions can now return an ObserveResult. This allows including metadata on the observation, in addition to a data version. This is currently only supported for non-partitioned assets.
  • [auto-materialize] A new AutoMaterializeRule.skip_on_not_all_parents_updated_since_cron class allows you to construct AutoMaterializePolicys which wait for all parents to be updated after the latest tick of a given cron schedule.
  • [Global op/asset concurrency] Ops and assets now take run priority into account when claiming global op/asset concurrency slots.

Documentation#

  • Fixed an error in our asset checks docs. Thanks @vaharoni!
  • Fixed an error in our Dagster Pipes Kubernetes docs. Thanks @cameronmartin!
  • Fixed an issue on the Hello Dagster! guide that prevented it from loading.
  • Add specific capabilities of the Airflow integration to the Airflow integration page.
  • Re-arranged sections in the I/O manager concept page to make info about using I/O versus resources more prominent.

0.9.1#

Bugfixes

  • Fixes an issue in the dagster-k8s-celery executor when executing solid subsets

Breaking Changes

  • Deprecated the IntermediateStore API. IntermediateStorage now wraps an ObjectStore, and TypeStoragePlugin now accepts an IntermediateStorage instance instead of an IntermediateStore instance. (Noe that IntermediateStore and IntermediateStorage are both internal APIs that are used in some non-core libraries).

0.9.0 “Laundry Service”#

Breaking Changes

  • The dagit key is no longer part of the instance configuration schema and must be removed from dagster.yaml files before they can be used.
  • -d can no longer be used as a command-line argument to specify a mode. Use --mode instead.
  • Use --preset instead of --preset-name to specify a preset to the pipeline launch command.
  • We have removed the config argument to the ConfigMapping, @composite_solid, @solid, SolidDefinition, @executor, ExecutorDefinition, @logger, LoggerDefinition, @resource, and ResourceDefinition APIs, which we deprecated in 0.8.0. Use config_schema instead.

New

  • Python 3.8 is now fully supported.
  • -d or --working-directory can be used to specify a working directory in any command that takes in a -f or --python_file argument.
  • Removed the deprecation of create_dagster_pandas_dataframe_type. This is the currently supported API for custom pandas data frame type creation.
  • Removed gevent dependency from dagster
  • New configured API for predefining configuration for various definitions: https://legacy-docs.dagster.io/overview/configuration/#configured
  • Added hooks to enable success and failure handling policies on pipelines. This enables users to set up policies on all solids within a pipeline or on a per solid basis. Example usage can be found here
  • New instance level view of Scheduler and running schedules
  • dagster-graphql is now only required in dagit images.

0.8.11#

Breaking Changes

  • AssetMaterializations no longer accepts a dagster_type argument. This reverts the change billed as "AssetMaterializations can now have type information attached as metadata." in the previous release.

0.8.10#

New

  • Added new GCS and Azure file manager resources
  • AssetMaterializations can now have type information attached as metadata. See the materializations tutorial for more
  • Added verification for resource arguments (previously only validated at runtime)

Bugfixes

  • Fixed bug with order-dependent python module resolution seen with some packages (e.g. numpy)
  • Fixed bug where Airflow's context['ts'] was not passed properly
  • Fixed a bug in celery-k8s when using task_acks_late: true that resulted in a 409 Conflict error from Kubernetes. The creation of a Kubernetes Job will now be aborted if another Job with the same name exists
  • Fixed a bug with composite solid output results when solids are skipped
  • Hide the re-execution button in Dagit when the pipeline is not re-executable in the currently loaded repository

Docs

  • Fixed code example in the advanced scheduling doc (Thanks @wingyplus!)
  • Various other improvements

0.8.9#

New

  • CeleryK8sRunLauncher supports termination of pipeline runs. This can be accessed via the “Terminate” button in Dagit’s Pipeline Run view or via “Cancel” in Dagit’s All Runs page. This will terminate the run master K8s Job along with all running step job K8s Jobs; steps that are still in the Celery queue will not create K8s Jobs. The pipeline and all impacted steps will be marked as failed. We recommend implementing resources as context managers and we will execute the finally block upon termination.
  • K8sRunLauncher supports termination of pipeline runs.
  • AssetMaterialization events display the asset key in the Runs view.
  • Added a new "Actions" button in Dagit to allow to cancel or delete mulitple runs.

Bugfixes

  • Fixed an issue where DagsterInstance was leaving database connections open due to not being garbage collected.
  • Fixed an issue with fan-in inputs skipping when upstream solids have skipped.
  • Fixed an issue with getting results from composites with skippable outputs in python API.
  • Fixed an issue where using Enum in resource config schemas resulted in an error.