[ https://issues.apache.org/jira/browse/SPARK-24309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin reassigned SPARK-24309: -------------------------------------- Assignee: Imran Rashid > AsyncEventQueue should handle an interrupt from a Listener > ---------------------------------------------------------- > > Key: SPARK-24309 > URL: https://issues.apache.org/jira/browse/SPARK-24309 > Project: Spark > Issue Type: Bug > Components: Scheduler, Spark Core > Affects Versions: 2.3.0 > Reporter: Imran Rashid > Assignee: Imran Rashid > Priority: Blocker > Fix For: 2.3.1, 2.4.0 > > > AsyncEventQueue does not properly handle an interrupt from a Listener -- the > spark app won't even stop! > I observed this on an actual workload as the EventLoggingListener can > generate an interrupt from the underlying hdfs calls: > {noformat} > 18/05/16 17:46:36 WARN hdfs.DFSClient: Error transferring data from > DatanodeInfoWithStorage[10.17.206.36:20002,DS-3adac910-5d0a-418b-b0f7-6332b35bf6a1,DISK] > to > DatanodeInfoWithStorage[10.17.206.42:20002,DS-2e7ed0aa-0e68-441e-b5b2-96ad4a9ce7a5,DISK]: > 100000 millis timeout while waiting for channel to be ready for read. ch : > java.nio.channels.SocketChannel[connected local=/10.17.206.35:33950 > remote=/10.17.206.36:20002] > 18/05/16 17:46:36 WARN hdfs.DFSClient: DataStreamer Exception > java.net.SocketTimeoutException: 100000 millis timeout while waiting for > channel to be ready for read. ch : java.nio.channels.SocketChannel[connected > local=/10.17.206.35:33950 remote=/10.17.206.36:20002] > at > org.apache.hadoop.net.SocketIOWithTimeout.doIO(SocketIOWithTimeout.java:164) > at > org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:161) > at > org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:131) > at > org.apache.hadoop.net.SocketInputStream.read(SocketInputStream.java:118) > at java.io.FilterInputStream.read(FilterInputStream.java:83) > at java.io.FilterInputStream.read(FilterInputStream.java:83) > at > org.apache.hadoop.hdfs.protocolPB.PBHelper.vintPrefixed(PBHelper.java:2305) > at > org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer$StreamerStreams.sendTransferBlock(DFSOutputStream.java:516) > at > org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.transfer(DFSOutputStream.java:1450) > at > org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.addDatanode2ExistingPipeline(DFSOutputStream.java:1408) > at > org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.setupPipelineForAppendOrRecovery(DFSOutputStream.java:1559) > at > org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.processDatanodeError(DFSOutputStream.java:1254) > at > org.apache.hadoop.hdfs.DFSOutputStream$DataStreamer.run(DFSOutputStream.java:739) > 18/05/16 17:46:36 ERROR scheduler.AsyncEventQueue: Listener > EventLoggingListener threw an exception > [... a few more of these ...] > 18/05/16 17:46:36 INFO scheduler.AsyncEventQueue: Stopping listener queue > eventLog. > java.lang.InterruptedException > at > java.util.concurrent.locks.AbstractQueuedSynchronizer.acquireInterruptibly(AbstractQueuedSynchronizer.java:1220) > at > java.util.concurrent.locks.ReentrantLock.lockInterruptibly(ReentrantLock.java:335) > at > java.util.concurrent.LinkedBlockingQueue.take(LinkedBlockingQueue.java:439) > at > org.apache.spark.scheduler.AsyncEventQueue$$anonfun$org$apache$spark$scheduler$AsyncEventQueue$$dispatch$1.apply(AsyncEventQueue.scala:94) > at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58) > at > org.apache.spark.scheduler.AsyncEventQueue.org$apache$spark$scheduler$AsyncEventQueue$$dispatch(AsyncEventQueue.scala:83) > at > org.apache.spark.scheduler.AsyncEventQueue$$anon$1$$anonfun$run$1.apply$mcV$sp(AsyncEventQueue.scala:79) > at > org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1319) > at > org.apache.spark.scheduler.AsyncEventQueue$$anon$1.run(AsyncEventQueue.scala:78) > {noformat} > When this happens, the AsyncEventQueue will continue to pile up events in its > queue, though its no longer processing them. And then in the call to stop, > it'll block on {{queue.put(POISON_PILL)}} forever, so the SparkContext won't > stop. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org