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Releases: astronomer/astro-provider-databricks
Releases · astronomer/astro-provider-databricks
0.1.3
Enhancements
- Associate a
DatabricksNotebookOperator
to aDatabricksWorkflowTaskGroup
even if there are up to three levelsTaskGroups
in between (#29 by @jlaneve ) - Support templating the field
notebook_params
of theDatabricksNotebookOperator
(#33 by @tatiana ) - Extend
notebook_params
of theDatabricksNotebookOperator
with the values defined inDatabricksWorkflowTaskGroup
(#33 by @tatiana ) - Improve example DAGs (#29 by @jlaneve )
0.1.2
What's Changed
- Update README to add Astro CLI instructions by @jlaneve in #23
- Correct Python pre-requisite in README by @josh-fell in #24
- Add TaskGroup support by @jlaneve in #29
New Contributors
- @josh-fell made their first contribution in #24
Full Changelog: 0.1.1...0.1.2
0.1.1
0.1.0
- DatabricksWorkflowTaskGroup: Airflow
Task Group <https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html#taskgroups>
_ that allows users to create aDatabricks Workflow <https://www.databricks.com/product/workflows>
_. - DatabricksNotebookOperator: Airflow
Operator <https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/operators.html>
_ which abstracts a pre-existingDatabricks Notebook <https://docs.databricks.com/notebooks/>
_. Can be used independently to run the Notebook, or within a Databricks Workflow Task Group. - AstroDatabricksPlugin: An Airflow
Plugin <https://airflow.apache.org/docs/apache-airflow/stable/authoring-and-scheduling/plugins.html>
_ which is installed by the default. It allows users, by using the UI, to view a Databricks job and retry running it in case of failure.
Known limitations
- Cancelling the Airflow task does not stop its execution in Databricks (issue
#1 <https://github.com/astronomer/astro-provider-databricks/issues/1>
_). - Users should not click the buttons "repair all" or "repair single task" while the DAG/task is running (issue
#2 <https://github.com/astronomer/astro-provider-databricks/issues/2>
_).