[jira] [Assigned] (SPARK-21408) Default RPC dispatcher thread pool size too large for small executors

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21408?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-21408:
------------------------------------

    Assignee:     (was: Apache Spark)

> Default RPC dispatcher thread pool size too large for small executors
> ---------------------------------------------------------------------
>
>                 Key: SPARK-21408
>                 URL: https://issues.apache.org/jira/browse/SPARK-21408
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>    Affects Versions: 2.3.0
>            Reporter: Marcelo Vanzin
>            Priority: Minor
>
> This is the code that sizes the RPC dispatcher thread pool:
> {noformat}
>   private val threadpool: ThreadPoolExecutor = {
>     val numThreads = nettyEnv.conf.getInt("spark.rpc.netty.dispatcher.numThreads",
>       math.max(2, Runtime.getRuntime.availableProcessors()))
>     val pool = ThreadUtils.newDaemonFixedThreadPool(numThreads, "dispatcher-event-loop")
> {noformat}
> That is based on the number of available cores on the host, instead of the number of cores the executor was told to use. Meaning if you start an executor with a single "core" on a host with 64 CPUs, you'll get 64 threads, which is kinda overkill.
> Using the allocated cores + a lower bound is probably a better approach.



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