Fix DataprocCreateBatchOperator stuck in deferred state for a long time#67638
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VladaZakharova wants to merge 1 commit into
Open
Fix DataprocCreateBatchOperator stuck in deferred state for a long time#67638VladaZakharova wants to merge 1 commit into
VladaZakharova wants to merge 1 commit into
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May 29, 2026
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| async def run(self): | ||
| hook = self.get_async_hook() | ||
| await hook.get_batch_client(region=self.region) |
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Since get_batch() already calls get_batch_client(region) internally, do we need this explicit pre-loop get_batch_client() call? Would the first get_batch() call initialize and cache the client anyway?
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Fixes DataprocBatchTrigger so it reuses a single Dataproc batch async client while polling batch state.
DataprocCreateBatchOperator can remain stuck in deferred state even after the Dataproc batch has completed successfully.
This is similar to the issue recently fixed for DataprocSubmitJobOperator: #62082
Was generative AI tooling used to co-author this PR?
{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.