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Make AzureBatchOperator batch_max_retries take effect - #72317

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FrankYang0529:airflow-azure-batch-max-retries
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FrankYang0529:airflow-azure-batch-max-retries

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@FrankYang0529

@FrankYang0529 FrankYang0529 commented Aug 31, 2026 •

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Why

  • batch_max_retries is in document and accepted in AzureBatchOperator.__init__, assigned to self, but read by nothing.

How

  • Add batch_max_retries to AzureBatchHook and passes it to BatchClient as azure-core's retry_total keyword.
  • AzureBatchOperator.hook forwards the batch_max_retries to the hook.

Verification

  • uv run --project providers/microsoft/azure pytest providers/microsoft/azure/tests/unit/microsoft/azure/hooks/test_batch.py providers/microsoft/azure/tests/unit/microsoft/azure/operators/test_batch.py providers/microsoft/azure/tests/unit/microsoft/azure/triggers/test_batch.py -xvs

Was generative AI tooling used to co-author this PR?
  • Yes - Claude Code

  • Read the Pull Request Guidelines for more information. Note: commit author/co-author name and email in commits become permanently public when merged.
  • For fundamental code changes, an Airflow Improvement Proposal (AIP) is needed.
  • When adding dependency, check compliance with the ASF 3rd Party License Policy.
  • For significant user-facing changes create newsfragment: {pr_number}.significant.rst, in airflow-core/newsfragments. You can add this file in a follow-up commit after the PR is created so you know the PR number.

Signed-off-by: PoAn Yang <payang@apache.org>
@FrankYang0529 FrankYang0529 mentioned this pull request Aug 31, 2026
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FrankYang0529 marked this pull request as ready for review August 31, 2026 09:02
def hook(self) -> AzureBatchHook:
"""Create and return an AzureBatchHook (cached)."""
return AzureBatchHook(self.azure_batch_conn_id)
return AzureBatchHook(self.azure_batch_conn_id, batch_max_retries=self.batch_max_retries)

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In deferrable mode, AzureBatchTrigger.run() creates a separate AzureBatchHook without passing batch_max_retries. I think we should also add on it.

hook = AzureBatchHook(
azure_batch_conn_id=self.azure_batch_conn_id,
)

@potiuk

potiuk commented Sep 25, 2026

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Hello @FrankYang0529 - thank you for your contributions to Apache Airflow!

The Airflow community has introduced a limit of 5 open pull requests at a time for contributors without write access to the repository. You currently have 30 open pull requests, so - as a one-time step of introducing the limit - we closed the ones where maintainers have not engaged yet:

These pull requests stay open because maintainers are already engaged in them - they count towards your limit:

This is not a judgement of you or of your changes. We never told contributors before that opening many pull requests at once was a problem, so there is nothing to feel bad about - and nothing is lost: your branches, commits and the review history stay where they are.

What we ask you to do is to make your first prioritization decision: choose which of the pull requests above matter most to you, and reopen them (up to 5 open at a time, including the ones still open) with the "Reopen pull request" button or gh pr reopen <PR_NUMBER> --repo apache/airflow. Reopen the ones you are ready to follow through - keep them rebased, respond to review comments and fix failing checks.

While your pull requests are waiting for review, the most valuable thing you can do is help in other ways - reviewing other contributors' pull requests, helping with issues, and taking part in the discussions on the devlist and Slack.

Why we introduced the limit, what it means for you and how to reopen or restore a pull request is explained in https://github.com/apache/airflow/blob/main/contributing-docs/32_open_pull_request_limit.rst.


Drafted-by: Claude Code (Opus 5); reviewed by @potiuk before posting

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3 participants