yaooqinn commented on code in PR #45982:
URL: https://github.com/apache/spark/pull/45982#discussion_r1560534838


##########
docs/job-scheduling.md:
##########
@@ -54,6 +54,10 @@ Resource allocation can be configured as follows, based on 
the cluster type:
   (`spark.executor.memory` configuration property) and `--executor-cores` 
(`spark.executor.cores` configuration
   property) control the resources per executor. For more information, see the
   [YARN Spark Properties](running-on-yarn.html#spark-properties).
+* **K8s:** The same as the situation with Yarn, please refer to the 
description of Yarn above. Furthermore,
+  Spark on K8s offers higher priority versions of 
spark.kubernetes.executor.limit.core and
+  spark.kubernetes.executor.request.core than spark.executor.core. For more 
information, see the

Review Comment:
   ```suggestion
     spark.kubernetes.executor.request.cores than spark.executor.cores. For 
more information, see the
   ```



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