zhoukang created SPARK-26601:
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Summary: Make broadcast-exchange thread pool keepalivetime
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
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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