You can now clear task groups or mark them as successful/failed from the Airflow UI Grid View just like individual tasks.
Astronomer apache airflow how to#
See Use setup and teardown tasks in Airflow to learn how to use them. Setup and teardown tasks are a new type of task that you can use to prepare resources and configurations for specific tasks, ensuring that they always have resources even when you retry failed tasks. Key: AIRFLOW_WEBSERVER_SHOW_TRIGGER_FORM_IF_NO_PARAMS.To revert the change, set the following environment variable in your Dockerfile or as an Astro environment variable: Because some teams use this workflow without configuring DAG params, this change has been feature flagged. In the Airflow UI, the Trigger DAG w/ config button now appears only when a DAG has configured params. Most notably, Airflow 2.7 includes the following changes: See the Astro Python SDK changelog for a complete list of changes.Īstro Runtime 9 is based on Airflow 2.7, which includes a number of new features and improvements. Upgraded astro-sdk-python to 1.7.0, which adds support for Excel files.See the OpenLineage release notes for a complete list of changes. Upgraded openlineage-airflow to 1.1.0.You can now export task logs to Datadog from Azure and GCP clusters.To learn more, see the Apache Airflow 2.7.1 release notes. Fix MappedTaskGroup tasks not respecting upstream dependency ( #33732).Add limit 1 if required first value from query result ( #33632).Treat dag-defined access_control as authoritative if defined ( #33632).Airflow 2.7.1 contains a number of bug fixes including: Astro Runtime 9.1.0 Īstro Runtime 9.1.0 includes same-day support for Apache Airflow 2.7.1.
If you have any questions or a bug to report, contact Astronomer support.
For general product release notes, see Astro Release Notes.
Astronomer apache airflow upgrade#
To upgrade Astro Runtime, see Upgrade Astro Runtime. This document provides a summary of changes made to each available version of Astro Runtime. Astro Runtime is a Docker image built and published by Astronomer that extends the Apache Airflow project to provide a differentiated data orchestration experience.
0 kommentar(er)
