potiuk commented on code in PR #25121:
URL: https://github.com/apache/airflow/pull/25121#discussion_r923348301


##########
docs/apache-airflow/howto/dynamic-dag-generation.rst:
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@@ -140,3 +140,20 @@ Each of them can run separately with related configuration
 
 .. warning::
   Using this practice, pay attention to "late binding" behaviour in Python 
loops. See `that GitHub discussion 
<https://github.com/apache/airflow/discussions/21278#discussioncomment-2103559>`_
 for more details
+
+
+Optimizing DAG parsing in workers/Kubernetes Pods

Review Comment:
   What I mean by that is really the K8S Pod run by the K8S Executor. "Worker" 
is more of the Celery term - it does not really apply to the 
KubernetesExecutor. But maybe "Airflow task Pod" would be better? WDYT?



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