Re: [PR] Fix DataprocCreateBatchOperator stuck in deferred state for a long time [airflow]

["VladaZakharova (via GitHub)" <gi...@apache.org>]

VladaZakharova commented on code in PR #67638:
URL: https://github.com/apache/airflow/pull/67638#discussion_r3339707899


##########
providers/google/src/airflow/providers/google/cloud/triggers/dataproc.py:
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@@ -594,8 +594,11 @@ def serialize(self) -> tuple[str, dict[str, Any]]:
         )
 
     async def run(self):
+        hook = self.get_async_hook()
+        await hook.get_batch_client(region=self.region)

Review Comment:
   Good point. 
   The important part of the fix is that `DataprocBatchTrigger.run()` now creates the async hook once and reuses that same hook during polling. With the cached batch client, the first `get_batch()` initializes the client and later polls reuse it.
   
   



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