[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.
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.
[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.
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.
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.
[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.
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.
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.
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!
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.
[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.
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.
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.
@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.
This major release includes features for scheduling, operating, and executing pipelines
that elevate Dagit and dagster from a local development tool to a deployable service.
DagsterInstance introduced as centralized system to control run, event, compute log,
and local intermediates storage.
A Scheduler abstraction has been introduced along side an initial implementation of
SystemCronScheduler in dagster-cron.
dagster-aws has been extended with a CLI for deploying dagster to AWS. This can spin
up a Dagit node and all the supporting infrastructure—security group, RDS PostgreSQL
instance, etc.—without having to touch the AWS console, and for deploying your code
to that instance.
Dagit
Runs: a completely overhauled Runs history page. Includes the ability to Retry,
Cancel, and Delete pipeline runs from the new runs page.
Scheduler: a page for viewing and interacting with schedules.
Compute Logs: stdout and stderr are now viewable on a per execution step basis in each run.
This is available in real time for currently executing runs and for historical runs.
A Reload button in the top right in Dagit restarts the web-server process and updates
the UI to reflect repo changes, including DAG structure, solid names, type names, etc.
This replaces the previous file system watching behavior.
Breaking Changes
--log and --log-dir no longer supported as CLI args. Existing runs and events stored
via these flags are no longer compatible with current storage.
raise_on_error moved from in process executor config to argument to arguments in
python API methods such as execute_pipeline
Execution details are now configurable. The new top-level ExecutorDefinition and @executor
APIs are used to define in-process, multiprocess, and Dask executors, and may be used by users to
define new executors. Like loggers and storage, executors may be added to a ModeDefinition and
may be selected and configured through the execution field in the environment dict or YAML,
including through Dagit. Executors may no longer be configured through the RunConfig.
The API of dagster-dask has changed. Pipelines are now executed on Dask using the
ordinary execute_pipeline API, and the Dask executor is configured through the environment.
(See the dagster-dask README for details.)
Added the PresetDefinition.from_files API for constructing a preset from a list of environment
files (replacing the old usage of this class). PresetDefinition may now be directly
instantiated with an environment dict.