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Posted to issues@spark.apache.org by "zhoukang (JIRA)" <ji...@apache.org> on 2019/01/11 09:39:00 UTC

[jira] [Updated] (SPARK-26601) Make broadcast-exchange thread pool keepalivetime and maxThreadNumber configurable

     [ https://issues.apache.org/jira/browse/SPARK-26601?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhoukang updated SPARK-26601:
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    Attachment: 选区_002 (1).png
                选区_002.png
                选区_001.png

> Make broadcast-exchange thread pool keepalivetime and maxThreadNumber configurable
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-26601
>                 URL: https://issues.apache.org/jira/browse/SPARK-26601
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: zhoukang
>            Priority: Major
>         Attachments: 选区_001.png, 选区_002 (1).png, 选区_002.png
>
>
> Currently,thread number of broadcast-exchange thread pool is fixed and keepAliveSeconds is also fixed as 60s.
> {code:java}
> object BroadcastExchangeExec {
>   private[execution] val executionContext = ExecutionContext.fromExecutorService(
>     ThreadUtils.newDaemonCachedThreadPool("broadcast-exchange", 128))
> }
>  /**
>    * Create a cached thread pool whose max number of threads is `maxThreadNumber`. Thread names
>    * are formatted as prefix-ID, where ID is a unique, sequentially assigned integer.
>    */
>   def newDaemonCachedThreadPool(
>       prefix: String, maxThreadNumber: Int, keepAliveSeconds: Int = 60): ThreadPoolExecutor = {
>     val threadFactory = namedThreadFactory(prefix)
>     val threadPool = new ThreadPoolExecutor(
>       maxThreadNumber, // corePoolSize: the max number of threads to create before queuing the tasks
>       maxThreadNumber, // maximumPoolSize: because we use LinkedBlockingDeque, this one is not used
>       keepAliveSeconds,
>       TimeUnit.SECONDS,
>       new LinkedBlockingQueue[Runnable],
>       threadFactory)
>     threadPool.allowCoreThreadTimeOut(true)
>     threadPool
>   }
> {code}
> But some times, if the Thead object do not GC quickly it may caused server(driver) OOM.
> Below is an example:



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