pragnareddye opened a new pull request, #32310:
URL: https://github.com/apache/airflow/pull/32310
This PR updates the PythonOperator section of the documentation to include
information about how the LocalExecutor works when multiple Airflow Schedulers
are in use.
In the updated documentation, I have added a note that explains:
Each Scheduler, when configured with executor = LocalExecutor, runs its own
LocalExecutor. Tasks are processed in a distributed fashion across the machines
running the Schedulers. It takes into consideration the scenario when a
scheduler is restarted. It also explains the limitations on sharing of
instances across tasks with multiple Schedulers. This information was not clear
in the existing documentation, and this update should help users understand how
LocalExecutor works in a multi-Scheduler setup.
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