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Changelog#

1.8.11 (core) / 0.24.11 (libraries)#

New#

  • [experimental] AutomationCondition.eager() will now only launch runs for missing partitions which become missing after the condition has been added to the asset. This avoids situations in which the eager policy kicks off a large amount of work when added to an asset with many missing historical static/dynamic partitions.
  • [experimental] Added a new AutomationCondition.asset_matches() condition, which can apply a condition against an arbitrary asset in the graph.
  • [experimental] Added the ability to specify multiple kinds for an asset with the kinds parameter.
  • [dagster-github] Added create_pull_request method on GithubClient that enables creating a pull request.
  • [dagster-github] Added create_ref method on GithubClient that enables creating a new branch.
  • [dagster-embedded-elt] dlt assets now generate column metadata for child tables.
  • [dagster-embedded-elt] dlt assets can now fetch row count metadata with dlt.run(...).fetch_row_count() for both partitioned and non-partitioned assets. Thanks @kristianandre!
  • [dagster-airbyte] relation identifier metadata is now attached to Airbyte assets.
  • [dagster-embedded-elt] relation identifier metadata is now attached to sling assets.
  • [dagster-embedded-elt] relation identifier metadata is now attached to dlt assets.

Bugfixes#

  • PartitionedConfig objects can now return a RunConfig without causing a crash.
  • Corrected the AssetIn.__new__ typing for the dagster_type argument.
  • [dagster-embedded-elt] dlt assets now generate correct column metadata after the first materialization.
  • [dagster-embedded-elt] Sling's fetch_row_count() method now works for databases returning uppercase column names. Thanks @kristianandre!
  • [dagster-gcp] Ensure blob download is flushed to temporary file for GCSFileManager.read operations. Thanks @ollie-bell!

Dagster Plus#

  • Fixed a bug in the catalog UI where owners filters were not applied correctly.

1.8.10 (core) / 0.24.10 (libraries)#

New#

  • JobDefinition, @job, and define_asset_job now take a run_tags parameter. If run_tags are defined, they will be attached to all runs of the job, and tags will not be. If run_tags is not set, then tags are attached to all runs of the job (status quo behavior). This change enables the separation of definition-level and run-level tags on jobs.
  • Then env var DAGSTER_COMPUTE_LOG_TAIL_WAIT_AFTER_FINISH can now be used to pause before capturing logs (thanks @HynekBlaha!)
  • The kinds parameter is now available on AssetSpec.
  • OutputContext now exposes the AssetSpec of the asset that is being stored as an output (thanks, @marijncv!)
  • [experimental] Backfills are incorporated into the Runs page to improve observability and provide a more simplified UI. See the GitHub discussion for more details.
  • [ui] The updated navigation is now enabled for all users. You can revert to the legacy navigation via a feature flag. See GitHub discussion for more.
  • [ui] Improved performance for loading partition statuses of an asset job.
  • [dagster-docker] Run containers launched by the DockerRunLauncher now include dagster/job_name and dagster/run_id labels.
  • [dagster-aws] The ECS launcher now automatically retries transient ECS RunTask failures (like capacity placement failures).

Bugfixes#

  • Changed the log volume for global concurrency blocked runs in the run coordinator to be less spammy.
  • [ui] Asset checks are now visible in the run page header when launched from a schedule.
  • [ui] Fixed asset group outlines not rendering properly in Safari.
  • [ui] Reporting a materialization event now removes the asset from the asset health "Execution failures" list and returns the asset to a green / success state.
  • [ui] When setting an AutomationCondition on an asset, the label of this condition will now be shown in the sidebar on the Asset Details page.
  • [ui] Previously, filtering runs by Created date would include runs that had been updated after the lower bound of the requested time range. This has been updated so that only runs created after the lower bound will be included.
  • [ui] When using the new experimental navigation flag, added a fix for the automations page for code locations that have schedules but no sensors.
  • [ui] Fixed tag wrapping on asset column schema table.
  • [ui] Restored object counts on the code location list view.
  • [ui] Padding when displaying warnings on unsupported run coordinators has been corrected (thanks @hainenber!)
  • [dagster-k8s] Fixed an issue where run termination sometimes did not terminate all step processes when using the k8s_job_executor, if the termination was initiated while it was in the middle of launching a step pod.

Documentation#

  • Corrections on the Dagster instance concept page (thanks @mheguy!)
  • Corrections on the code locations concept page (thanks @tiberiuana!)
  • Repeated words removed (thanks @tianzedavid!)
  • [dagster-deltalake] Corrections and improvements (thanks @avriiil!)
  • [dagster-aws] Added docs for PipesEMRServerlessClient.
  • [dagster-cli] A guide on how to validate Dagster definitions using dagster definitions validate have been added.
  • [dagster-databricks] Added docs for using Databricks Pipes with existing clusters.
  • [dagster-dbt] Corrected sample sql code (thanks @b-per!)

1.8.9 (core) / 0.24.9 (libraries)#

New#

  • AssetSpec now has a with_io_manager_key method that returns an AssetSpec with the appropriate metadata entry to dictate the key for the IO manager used to load it. The deprecation warning for SourceAsset now references this method.
  • Added a max_runtime_seconds configuration option to run monitoring, allowing you to specify that any run in your Dagster deployment should terminate if it exceeds a certain runtime. Prevoiusly, jobs had to be individually tagged with a dagster/max_runtime tag in order to take advantage of this feature. Jobs and runs can still be tagged in order to override this value for an individual run.
  • It is now possible to set both tags and a custom execution_fn on a ScheduleDefinition. Schedule tags are intended to annotate the definition and can be used to search and filter in the UI. They will not be attached to run requests emitted from the schedule if a custom execution_fn is provided. If no custom execution_fn is provided, then for back-compatibility the tags will also be automatically attached to run requests emitted from the schedule.
  • SensorDefinition and all of its variants/decorators now accept a tags parameter. The tags annotate the definition and can be used to search and filter in the UI.
  • Added the dagster definitions validate command to Dagster CLI. This command validates if Dagster definitions are loadable.
  • [dagster-databricks] Databricks Pipes now allow running tasks in existing clusters.

Bugfixes#

  • Fixed an issue where calling build_op_context in a unit test would sometimes raise a TypeError: signal handler must be signal.SIG_IGN, signal.SIG_DFL, or a callable object Exception on process shutdown.
  • [dagster-webserver] Fix an issue where the incorrect sensor/schedule state would appear when using DefaultScheduleStatus.STOPPED / DefaultSensorStatus.STOPPED after performing a reset.

Documentation#

  • [dagster-pipes] Fixed inconsistencies in the k8s pipes example.
  • [dagster-pandas-pyspark] Fixed example in the Spark/Pandas SDA guide.

Dagster Plus#

  • Fixed an issue where users with Launcher permissions for a particular code location were not able to cancel backfills targeting only assets in that code location.
  • Fixed an issue preventing long-running alerts from being sent when there was a quick subsequent run.

1.8.8 (core) / 0.24.8 (libraries)#

New#

  • Added --partition-range option to dagster asset materialize CLI. This option only works for assets with single-run Backfill Policies.
  • Added a new .without() method to AutomationCondition.eager(), AutomationCondition.on_cron(), and AutomationCondition.on_missing() which allows sub-conditions to be removed, e.g. AutomationCondition.eager().without(AutomationCondition.in_latest_time_window()).
  • Added AutomationCondition.on_missing(), which materializes an asset partition as soon as all of its parent partitions are filled in.
  • pyproject.toml can now load multiple Python modules as individual Code Locations. Thanks, @bdart!
  • [ui] If a code location has errors, a button will be shown to view the error on any page in the UI.
  • [dagster-adls2] The ADLS2PickleIOManager now accepts lease_duration configuration. Thanks, @0xfabioo!
  • [dagster-embedded-elt] Added an option to fetch row count metadata after running a Sling sync by calling sling.replicate(...).fetch_row_count().
  • [dagster-fivetran] The dagster-fivetran integration will now automatically pull and attach column schema metadata after each sync.

Bugfixes#

  • Fixed an issue which could cause errors when using AutomationCondition.any_downstream_condition() with downstream AutoMaterializePolicy objects.
  • Fixed an issue where process_config_and_initialize did not properly handle processing nested resource config.
  • [ui] Fixed an issue that would cause some AutomationCondition evaluations to be labeled DepConditionWrapperCondition instead of the key that they were evaluated against.
  • [dagster-webserver] Fixed an issue with code locations appearing in fluctuating incorrect state in deployments with multiple webserver processes.
  • [dagster-embedded-elt] Fixed an issue where Sling column lineage did not correctly resolve int the Dagster UI.
  • [dagster-k8s] The wait_for_pod check now waits until all pods are available, rather than erroneously returning after the first pod becomes available. Thanks @easontm!

Dagster Plus#

  • Backfill daemon logs are now available in the "Coordinator Logs" tab in a backfill details page.
  • Users without proper code location permissions can no longer edit sensor cursors.

1.8.7 (core) / 0.24.7 (libraries)#

New#

  • The AssetSpec constructor now raises an error if an invalid group name is provided, instead of an error being raised when constructing the Definitions object.
  • dagster/relation_identifier metadata is now automatically attached to assets which are stored using a DbIOManager.
  • [ui] Streamlined the code location list view.
  • [ui] The “group by” selection on the Timeline Overview page is now part of the query parameters, meaning it will be retained when linked to directly or when navigating between pages.
  • [dagster-dbt] When instantiating DbtCliResource, the project_dir argument will now override the DBT_PROJECT_DIR environment variable if it exists in the local environment (thanks, @marijncv!).
  • [dagster-embedded-elt] dlt assets now generate rows_loaded metadata (thanks, @kristianandre!).
  • Added support for pydantic version 1.9.0.

Bugfixes#

  • Fixed a bug where setting asset_selection=[] on RunRequest objects yielded from sensors using asset_selection would select all assets instead of none.
  • Fixed bug where the tick status filter for batch-fetched graphql sensors was not being respected.
  • [examples] Fixed missing assets in assets_dbt_python example.
  • [dagster-airbyte] Updated the op names generated for Airbyte assets to include the full connection ID, avoiding name collisions.
  • [dagster-dbt] Fixed issue causing dagster-dbt to be unable to load dbt projects where the adapter did not have a database field set (thanks, @dargmuesli!)
  • [dagster-dbt] Removed a warning about not being able to load the dbt.adapters.duckdb module when loading dbt assets without that package installed.

Documentation#

  • Fixed typo on the automation concepts page (thanks, @oedokumaci!)

Dagster Plus#

  • You may now wipe specific asset partitions directly from the execution context in user code by calling DagsterInstance.wipe_asset_partitions.
  • Dagster+ users with a "Viewer" role can now create private catalog views.
  • Fixed an issue where the default IOManager used by Dagster+ Serverless did not respect setting allow_missing_partitions as metadata on a downstream asset.

1.8.6 (core) / 0.24.6 (libraries)#

Bugfixes#

  • Fixed an issue where runs in Dagster+ Serverless that materialized partitioned assets would sometimes fail with an object has no attribute '_base_path' error.
  • [dagster-graphql] Fixed an issue where the statuses filter argument to the sensorsOrError GraphQL field was sometimes ignored when querying GraphQL for multiple sensors at the same time.

1.8.5 (core) / 0.24.5 (libraries)#

New#

  • Updated multi-asset sensor definition to be less likely to timeout queries against the asset history storage.
  • Consolidated the CapturedLogManager and ComputeLogManager APIs into a single base class.
  • [ui] Added an option under user settings to clear client side indexeddb caches as an escape hatch for caching related bugs.
  • [dagster-aws, dagster-pipes] Added a new PipesECSClient to allow Dagster to interface with ECS tasks.
  • [dagster-dbt] Increased the default timeout when terminating a run that is running a dbt subprocess to wait 25 seconds for the subprocess to cleanly terminate. Previously, it would only wait 2 seconds.
  • [dagster-sdf] Increased the default timeout when terminating a run that is running an sdf subprocess to wait 25 seconds for the subprocess to cleanly terminate. Previously, it would only wait 2 seconds.
  • [dagster-sdf] Added support for caching and asset selection (Thanks, akbog!)
  • [dagster-dlt] Added support for AutomationCondition using DagsterDltTranslator.get_automation_condition() (Thanks, aksestok!)
  • [dagster-k8s] Added support for setting dagsterDaemon.runRetries.retryOnAssetOrOpFailure to False in the Dagster Helm chart to prevent op retries and run retries from simultaneously firing on the same failure.
  • [dagster-wandb] Removed usage of deprecated recursive parameter (Thanks, chrishiste!)

Bugfixes#

  • [ui] Fixed a bug where in-progress runs from a backfill could not be terminated from the backfill UI.
  • [ui] Fixed a bug that caused an "Asset must be part of at least one job" error when clicking on an external asset in the asset graph UI
  • Fixed an issue where viewing run logs with the latest 5.0 release of the watchdog package raised an exception.
  • [ui] Fixed issue causing the “filter to group” action in the lineage graph to have no effect.
  • [ui] Fixed case sensitivity when searching for partitions in the launchpad.
  • [ui] Fixed a bug which would redirect to the events tab for an asset if you loaded the partitions tab directly.
  • [ui] Fixed issue causing runs to get skipped when paging through the runs list (Thanks, @HynekBlaha!)
  • [ui] Fixed a bug where the asset catalog list view for a particular group would show all assets.
  • [dagster-dbt] fix bug where empty newlines in raw dbt logs were not being handled correctly.
  • [dagster-k8s, dagster-celery-k8s] Correctly set dagster/image label when image is provided from user_defined_k8s_config. (Thanks, @HynekBlaha!)
  • [dagster-duckdb] Fixed an issue for DuckDB versions older than 1.0.0 where an unsupported configuration option, custom_user_agent, was provided by default
  • [dagster-k8s] Fixed an issue where Kubernetes Pipes failed to create a pod if the op name contained capital or non-alphanumeric containers.
  • [dagster-embedded-elt] Fixed an issue where dbt assets downstream of Sling were skipped

Deprecations#

  • [dagser-aws]: Direct AWS API arguments in PipesGlueClient.run have been deprecated and will be removed in 1.9.0. The new params argument should be used instead.

Dagster Plus#

  • Fixed a bug that caused an error when loading the launchpad for a partition, when using Dagster+ with an agent with version below 1.8.2.
  • Fixed an issue where terminating a Dagster+ Serverless run wouldn’t forward the termination signal to the job to allow it to cleanly terminate.

1.8.4 (core) / 0.24.4 (libraries)#

Bugfixes#

  • Fixed an issue where viewing run logs with the latest 5.0 release of the watchdog package raised an exception.
  • Fixed a bug that caused an "Asset must be part of at least one job" error when clicking on an external asset in the asset graph UI

Dagster Plus#

  • The default io_manager on Serverless now supports the allow_missing_partitions configuration option.
  • Fixed a bug that caused an error when loading the launchpad for a partition, when using in Dagster+ with an agent with version below 1.8.2

1.8.3 (core) / 0.24.3 (libraries) (YANKED - This version of Dagster resulted in errors when trying to launch runs that target individual asset partitions)#

New#

  • When different assets within a code location have different PartitionsDefinitions, there will no longer be an implicit asset job __ASSET_JOB_... for each PartitionsDefinition; there will just be one with all the assets. This reduces the time it takes to load code locations with assets with many different PartitionsDefinitions.

1.8.2 (core) / 0.24.2 (libraries)#

New#

  • [ui] Improved performance of the Automation history view for partitioned assets
  • [ui] You can now delete dynamic partitions for an asset from the ui
  • [dagster-sdf] Added support for quoted table identifiers (Thanks, @akbog!)
  • [dagster-openai] Add additional configuration options for the OpenAIResource (Thanks, @chasleslr!)
  • [dagster-fivetran] Fivetran assets now have relation identifier metadata.

Bugfixes#

  • [ui] Fixed a collection of broken links pointing to renamed Declarative Automation pages.
  • [dagster-dbt] Fixed issue preventing usage of MultiPartitionMapping with @dbt_assets (Thanks, @arookieds!)
  • [dagster-azure] Fixed issue that would cause an error when configuring an AzureBlobComputeLogManager without a secret_key (Thanks, @ion-elgreco and @HynekBlaha!)

Documentation#

  • Added API docs for AutomationCondition and associated static constructors.
  • [dagster-deltalake] Corrected some typos in the integration reference (Thanks, @dargmuesli!)
  • [dagster-aws] Added API docs for the new PipesCloudWatchMessageReader

0.11.15#

New#

  • 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")])
    def inner_solid(_, data):
      return data
    
    @composite_solid
    def my_composite():
      return inner_solid()
    
  • Schedules can now be directly invoked. This is intended to be used for testing. To learn more, see https://docs.dagster.io/master/concepts/partitions-schedules-sensors/schedules#testing-schedules

Bugfixes#

  • 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.

Breaking Changes#

  • Invoking a generator solid now yields a generator, and output objects are not unpacked.

    @solid
    def my_solid():
      yield Output("hello")
    
    assert isinstance(list(my_solid())[0], Output)
    

Experimental#

  • 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!

Documentation#

0.11.14#

New#

  • 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.

Bugfixes#

  • The asset catalog now has better backwards compatibility for supporting deprecated Materialization events. Previously, these events were causing loading errors.

Community Contributions#

  • Improved documentation of the dagster-dbt library with some helpful tips and example code (thanks @makotonium!).
  • Fixed the example code in the dagster-pyspark documentation for providing and accessing the pyspark resource (thanks @Andrew-Crosby!).
  • Helm chart serviceaccounts now allow annotations (thanks @jrouly!).

Documentation#

  • Added section on testing resources (link).
  • Revamped IO manager testing section to use build_input_context and build_output_context APIs (link).

0.11.13#

New#

  • 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.

Bugfixes#

  • 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.

Experimental#

  • 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.
  from dagster import build_init_resource_context

  @resource(config_schema=str)
  def my_basic_resource(init_context):
      return init_context.resource_config

  context = build_init_resource_context(config="foo")
  assert my_basic_resource(context) == "foo"
  • Improved the error message when a pipeline definition is incorrectly invoked as a function.

Documentation#

0.11.12#

Bugfixes#

  • 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 IOManager handle_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.

Experimental#

  • 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.

Documentation#

0.11.11#

New#

  • [Helm] Added dagit.enableReadOnly . When enabled, a separate Dagit instance is deployed in —read-only mode. You can use this feature to serve Dagit to users who you do not want to able to kick off new runs or make other changes to application state.
  • [dagstermill] Dagstermill is now compatible with current versions of papermill (2.x). Previously we required papermill to be pinned to 1.x.
  • Added a new metadata type that links to the asset catalog, which can be invoked using EventMetadata.asset.
  • Added a new log event type LOGS_CAPTURED, which explicitly links to the captured stdout/stderr logs for a given step, as determined by the configured ComputeLogManager on the Dagster instance. Previously, these links were available on the STEP_START event.
  • The network key on DockerRunLauncher config can now be sourced from an environment variable.
  • The Workspace section of the Status page in Dagit now shows more metadata about your workspace, including the python file, python package, and Docker image of each of your repository locations.
  • In Dagit, settings for how executions are viewed now persist across sessions.

Breaking Changes#

  • The get_execution_data method of SensorDefinition and ScheduleDefinition has been renamed to evaluate_tick. We expect few to no users of the previous name, and are renaming to prepare for improved testing support for schedules and sensors.

Community Contributions#

  • README has been updated to remove typos (thanks @gogi2811).
  • Configured API doc examples have been fixed (thanks @jrouly).

Experimental#

  • Documentation on testing sensors using experimental build_sensor_context API. See Testing sensors.

Bugfixes#

  • Some mypy errors encountered when using the built-in Dagster types (e.g., dagster.Int ) as type annotations on functions decorated with @solid have been resolved.
  • Fixed an issue where the K8sRunLauncher sometimes hanged while launching a run due to holding a stale Kubernetes client.
  • Fixed an issue with direct solid invocation where default config values would not be applied.
  • Fixed a bug where resource dependencies to io managers were not being initialized during memoization.
  • Dagit can once again override pipeline tags that were set on the definition, and UI clarity around the override behavior has been improved.
  • Markdown event metadata rendering in dagit has been repaired.

Documentation#