[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.
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).
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.
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.
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.
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.
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.
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!
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!).
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.
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.
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.
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!)
[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
[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.
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)#
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.
[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!)
Added instance on RunStatusSensorContext for accessing the Dagster Instance from within the
run status sensors.
The inputs of a Dagstermill solid now are loaded the same way all other inputs are loaded in the
framework. This allows rerunning output notebooks with properly loaded inputs outside Dagster
context. Previously, the IO handling depended on temporary marshal directory.
Previously, the Dagit CLI could not target a bare graph in a file, like so:
from dagster import op, graph
@opdefmy_op():pass@graphdefmy_graph():
my_op()
This has been remedied. Now, a file foo.py containing just a graph can be targeted by the dagit
CLI: dagit -f foo.py.
When a solid, pipeline, schedule, etc. description or event metadata entry contains a
markdown-formatted table, that table is now rendered in Dagit with better spacing between elements.
The hacker-news example now includes
instructions
on how to deploy the repository in a Kubernetes cluster using the Dagster Helm chart.
[dagster-dbt] The dbt_cli_resource now supports the dbt source snapshot-freshness command
(thanks @emilyhawkins-drizly!)
[helm] Labels are now configurable on user code deployments.
Bugfixes
Dagit’s dependency on graphql-ws is now pinned
to < 0.4.0 to avoid a breaking change in its latest release. We expect to remove this dependency
entirely in a future Dagster release.
Execution steps downstream of a solid that emits multiple dynamic outputs now correctly
resolve without error.
In Dagit, when repositories are loaded asynchronously, pipelines/jobs now appear immediately in
the left navigation.
Pipeline/job descriptions with markdown are now rendered correctly in Dagit, and styling is
improved for markdown-based tables.
The Dagit favicon now updates correctly during navigation to and from Run pages.
In Dagit, navigating to assets with keys that contain slashes would sometimes fail due to a lack
of URL encoding. This has been fixed.
When viewing the Runs list on a smaller viewport, tooltips on run tags no longer flash.
Dragging the split panel view in the Solid/Op explorer in Dagit would sometimes leave a broken
rendered state. This has been fixed.
Dagstermill notebook previews now works with remote user code deployment.
[dagster-shell] When a pipeline run fails, subprocesses spawned from dagster-shell utilities
will now be properly terminated.
Fixed an issue associated with using EventMetadata.asset and EventMetadata.pipeline_run in
AssetMaterialization metadata. (Thanks @ymrzkrrs and @drewsonne!)
Breaking Changes
Dagstermill solids now require a shared-memory io manager, e.g. fs_io_manager, which allows
data to be passed out of the Jupyter process boundary.
Community Contributions
[helm] Added missing documentation to fields in the Dagster User Deployments subchart
(thanks @jrouly!)
In Dagit, the repository locations list has been moved from the Instance Status page to the Workspace page. When repository location errors are present, a warning icon will appear next to “Workspace” in the left navigation.
Calls to context.log.info() and other similar functions now fully respect the python logging API. Concretely, log statements of the form context.log.error(“something %s happened!”, “bad”) will now work as expected, and you are allowed to add things to the “extra” field to be consumed by downstream loggers: context.log.info("foo", extra={"some":"metadata"}).
Fixed an issue with the pipeline and solid Kubernetes configuration tags. env_from and volume_mounts are now properly applied to the corresponding Kubernetes run worker and job pods.
Fixed an issue where Dagit sometimes couldn’t start up when using MySQL storage.
[dagster-mlflow] The end_mlflow_run_on_pipeline_finished hook now no longer errors whenever invoked.
Non-standard keyword arguments to context.log calls are now not allowed. context.log.info("msg", foo="hi") should be rewritten as context.log.info("msg", extra={"foo":"hi"}).
[dagstermill] When writing output notebook fails, e.g. no file manager provided, it won't yield AssetMaterialization. Previously, it would still yield an AssetMaterialization where the path is a temp file path that won't exist after the notebook execution.
Previously, in order to use memoization, it was necessary to provide a resource version for every resource used in a pipeline. Now, resource versions are optional, and memoization can be used without providing them.
InputContext and OutputContext now each has an asset_key that returns the asset key that was provided to the corresponding InputDefinition or OutputDefinition.
[dagster-dbt] Added a new synchronous RPC dbt resource (dbt_rpc_sync_resource), which allows you to programmatically send dbt commands to an RPC server, returning only when the command completes (as opposed to returning as soon as the command has been sent).
Specifying secrets in the k8s_job_executor now adds to the secrets specified in K8sRunLauncher instead of overwriting them.
The local_file_manager no longer uses the current directory as the default base_dir instead defaulting to LOCAL_ARTIFACT_STORAGE/storage/file_manager. If you wish, you can configure LOCAL_ARTIFACT_STORAGE in your dagster.yaml file.
Following the recent change to add strict Content-Security-Policy directives to Dagit, the CSP began to block the iframe used to render ipynb notebook files. This has been fixed and these iframes should now render correctly.
Fixed an error where large files would fail to upload when using the s3_pickle_io_manager for intermediate storage.
Fixed an issue where Kubernetes environment variables defined in pipeline tags were not being applied properly to Kubernetes jobs.
Fixed tick preview in the Recent live tick timeline view for Sensors.
Added more descriptive error messages for invalid sensor evaluation functions.
dagit will now write to a temp directory in the current working directory when launched with the env var DAGSTER_HOME not set. This should resolve issues where the event log was not keeping up to date when observing runs progress live in dagit with no DAGSTER_HOME
Fixed an issue where retrying from a failed run sometimes failed if the pipeline was changed after the failure.
Fixed an issue with default config on to_job that would result in an error when using an enum config schema within a job.
The “Testing Solids and Pipelines” section of the tutorial now uses the new direct invocation functionality and tests a solid and pipeline from an earlier section of the tutorial.
Fixed the example in the API docs for EventMetadata.python_artifact.
Fixed tick display in the sensor/schedule timeline view in Dagit.
Changed the dagster sensor list and dagster schedule list CLI commands to include schedules and sensors that have never been turned on.
Fixed the backfill progress stats in Dagit which incorrectly capped the number of successful/failed runs.
Improved query performance in Dagit on pipeline (or job) views, schedule views, and schedules list view by loading partition set data on demand instead of by default.
Fixed an issue in Dagit where re-executing a pipeline that shares an identical name and graph to a pipeline in another repository could lead to the wrong pipeline being executed.
Fixed an issue in Dagit where loading a very large DAG in the pipeline overview could sometimes lead to a render loop that repeated the same GraphQL query every few seconds, causing an endless loading state and never rendering the DAG.
Fixed an issue with execute_in_process where providing default executor config to a job would cause config errors.
Fixed an issue with default config for jobs where using an ops config entry in place of solids would cause a config error.
Dynamic outputs are now properly supported while using adls2_io_manager
ModeDefinition now validates the keys of resource_defs at definition time.
Failure exceptions no longer bypass the RetryPolicy if one is set.
To account for ECS’ eventual consistency model, the EcsRunLauncher will now exponentially backoff certain requests for up to a minute while waiting for ECS to reach a consistent state.
Memoization is now available from all execution entrypoints. This means that a pipeline tagged for use with memoization can be launched from dagit, the launch CLI, and other modes of external execution, whereas before, memoization was only available via execute_pipeline and the execute CLI.
Memoization now works with root input managers. In order to use a root input manager in a pipeline that utilizes memoization, provide a string value to the version argument on the decorator:
from dagster import root_input_manager
@root_input_manager(version="foo")defmy_root_manager(_):pass
The versioned_fs_io_manager now defaults to using the storage directory of the instance as a base directory.
GraphDefinition.to_job now accepts a tags dictionary with non-string values - which will be serialized to JSON. This makes job tags work similarly to pipeline tags and solid tags.
[helm] The compute log manager now defaults to a NoOpComputeLogManager. It did not make sense to default to the LocalComputeLogManager as pipeline runs are executed in ephemeral jobs, so logs could not be retrieved once these jobs were cleaned up. To have compute logs in a Kubernetes environment, users should configure a compute log manager that uses a cloud provider.
[helm] The K8sRunLauncher now supports environment variables to be passed in from the current container to the launched Kubernetes job.
[examples] Added a new dbt_pipeline to the hacker news example repo, which demonstrates how to run a dbt project within a Dagster pipeline.
Changed the default configuration of steps launched by the k8s_job_executor to match the configuration set in the K8sRunLauncher.
Fixed an issue where dagster gRPC servers failed to load if they did not have permissions to write to a temporary directory.
Enabled compression and raised the message receive limit for our gRPC communication. This prevents large pipelines from causing gRPC message limit errors. This limit can now be manually overridden with the DAGSTER_GRPC_MAX_RX_BYTES environment variable.
Fixed errors with dagster instance migrate when the asset catalog contains wiped assets.
Fixed an issue where backfill jobs with the “Re-execute from failures” option enabled were not picking up the solid selection from the originating failed run.
Previously, when using memoization, if every step was memoized already, you would get an error. Now, the run succeeds and runs no steps.
[dagster-dbt] If you specify --models, --select, or --exclude flags while configuring the dbt_cli_resource, it will no longer attempt to supply these flags to commands that don’t accept them.
[dagstermill] Fixed an issue where yield_result wrote output value to the same file path if output names are the same for different solids.