bjornjorgensen commented on code in PR #45982:
URL: https://github.com/apache/spark/pull/45982#discussion_r1561290153
##########
docs/job-scheduling.md:
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@@ -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.cores and
+ spark.kubernetes.executor.request.cores than spark.executor.cores. For more
information, see the
+ [K8s Spark Properties](running-on-kubernetes.html#spark-properties).
Review Comment:
spark.kubernetes.executor.limit.cores and
spark.kubernetes.executor.request.cores than spark.executor.cores ->
`spark.kubernetes.executor.limit.cores` and
`spark.kubernetes.executor.request.cores` than `spark.executor.cores`
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