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