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_r281433257
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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
+<code>spark.{driver|executor}.rpc.netty.dispatcher.numThreads</code>, which is
only for RPC module.
+
+<table class="table">
+<tr><th>Property Name</th><th>Default</th><th>Meaning</th></tr>
+<tr>
+ <td><code>spark.{driver|executor}.rpc.io.serverThreads</code></td>
+ <td>
+ Fall back on spark.rpc.io.serverThreads
+ </td>
+ <td>Number of threads used in the server thread pool</td>
+</tr>
+<tr>
+ <td><code>spark.{driver|executor}.rpc.io.clientThreads</code></td>
+ <td>
+ Fall back on spark.rpc.io.clientThreads
+ </td>
+ <td>Number of threads used in the client thread pool</td>
+</tr>
+<tr>
+ <td><code>spark.{driver|executor}.rpc.netty.dispatcher.numThreads</code></td>
+ <td>
+ Fall back on spark.rpc.netty.dispatcher.numThreads
+ </td>
+ <td>Number of threads used in RPC message dispatcher thread pool</td>
+</tr>
+</table>
+
+The default values of spark.rpc.io.serverThreads, spark.rpc.io.clientThreads
and spark.rpc.netty.dispatcher.numThreads
+are same. It's <br>
+number of CPU cores if specified. Otherwise, the available processors to the
JVM. In either cases, the default value
Review comment:
@vanzin , updated. please check.
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