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Posted to issues@spark.apache.org by "Amitabh (JIRA)" <ji...@apache.org> on 2017/03/28 10:23:42 UTC
[jira] [Commented] (SPARK-14228) Lost executor of RPC
disassociated, and occurs exception: Could not find CoarseGrainedScheduler
or it has been stopped
[ https://issues.apache.org/jira/browse/SPARK-14228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15944912#comment-15944912 ]
Amitabh commented on SPARK-14228:
---------------------------------
Hi, can you specify the version you were working with? I have received the same error in 1.6.0
> Lost executor of RPC disassociated, and occurs exception: Could not find CoarseGrainedScheduler or it has been stopped
> ----------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-14228
> URL: https://issues.apache.org/jira/browse/SPARK-14228
> Project: Spark
> Issue Type: Bug
> Reporter: meiyoula
>
> When I start 1000 executors, and then stop the process. It will call SparkContext.stop to stop all executors. But during this process, the executors has been killed will lost of rpc with driver, and try to reviveOffers, but can't find CoarseGrainedScheduler or it has been stopped.
> {quote}
> 16/03/29 01:45:45 ERROR YarnScheduler: Lost executor 610 on 51-196-152-8: remote Rpc client disassociated
> 16/03/29 01:45:45 ERROR Inbox: Ignoring error
> org.apache.spark.SparkException: Could not find CoarseGrainedScheduler or it has been stopped.
> at org.apache.spark.rpc.netty.Dispatcher.postMessage(Dispatcher.scala:161)
> at org.apache.spark.rpc.netty.Dispatcher.postOneWayMessage(Dispatcher.scala:131)
> at org.apache.spark.rpc.netty.NettyRpcEnv.send(NettyRpcEnv.scala:173)
> at org.apache.spark.rpc.netty.NettyRpcEndpointRef.send(NettyRpcEnv.scala:398)
> at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.reviveOffers(CoarseGrainedSchedulerBackend.scala:314)
> at org.apache.spark.scheduler.TaskSchedulerImpl.executorLost(TaskSchedulerImpl.scala:482)
> at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverEndpoint.removeExecutor(CoarseGrainedSchedulerBackend.scala:261)
> at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverEndpoint$$anonfun$onDisconnected$1.apply(CoarseGrainedSchedulerBackend.scala:207)
> at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverEndpoint$$anonfun$onDisconnected$1.apply(CoarseGrainedSchedulerBackend.scala:207)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend$DriverEndpoint.onDisconnected(CoarseGrainedSchedulerBackend.scala:207)
> at org.apache.spark.rpc.netty.Inbox$$anonfun$process$1.apply$mcV$sp(Inbox.scala:144)
> at org.apache.spark.rpc.netty.Inbox.safelyCall(Inbox.scala:204)
> at org.apache.spark.rpc.netty.Inbox.process(Inbox.scala:102)
> at org.apache.spark.rpc.netty.Dispatcher$MessageLoop.run(Dispatcher.scala:215)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {quote}
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