dongjoon-hyun commented on code in PR #45982:
URL: https://github.com/apache/spark/pull/45982#discussion_r1559997742


##########
docs/job-scheduling.md:
##########
@@ -53,7 +53,11 @@ Resource allocation can be configured as follows, based on 
the cluster type:
   on the cluster (`spark.executor.instances` as configuration property), while 
`--executor-memory`
   (`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).
+  [YARN Spark Properties](running-on-yarn.html#spark-properties).

Review Comment:
   Yes, please handle this separately, @beliefer .
   As you know, I'm the release manager of Apache Spark 3.4.3 (for next 
Monday). 
   I can backport this fix to branch-3.4 as a part of Apache Spark 3.4.3.



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