[GitHub] [spark] zjf2012 commented on a change in pull request #23560: [SPARK-26632][Core] Separate Thread Configurations of Driver and Executor

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zjf2012 commented on a change in pull request #23560: [SPARK-26632][Core] Separate Thread Configurations of Driver and Executor
URL: https://github.com/apache/spark/pull/23560#discussion_r281054282
 
 

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 File path: docs/configuration.md
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 @@ -1954,6 +1954,46 @@ Apart from these, the following properties are also available, and may be useful
 </tr>
 </table>
 
+### Thread Configurations
+
+Depending on jobs and cluster configurations, we can set number of threads in several places in Spark to utilize 
+available resources efficiently to get better performance. Prior to Spark 3.0, these thread configurations apply 
+to all roles of Spark, such as driver, executor, worker and master. From Spark 3.0, we can configure threads in 
+finer granularity starting from driver and executor. Take RPC module as example in below table. For other modules,
+like shuffle, just replace "rpc" with "shuffle" in the property names except 
+spark.{driver|executor}.rpc.netty.dispatcher.numThreads, which is only for RPC module.
 
 Review comment:
   @vanzin , updated, please check.

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