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Posted to issues@spark.apache.org by "cen yuhai (JIRA)" <ji...@apache.org> on 2016/07/23 07:49:20 UTC
[jira] [Comment Edited] (SPARK-16441) Spark application hang when
dynamic allocation is enabled
[ https://issues.apache.org/jira/browse/SPARK-16441?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15390602#comment-15390602 ]
cen yuhai edited comment on SPARK-16441 at 7/23/16 7:49 AM:
------------------------------------------------------------
No, it is a complicated problem. I also find that when some executors need to send a large result to driver, other executors cannot receive responses from driver and timeout.
was (Author: cenyuhai):
No, it is a complicated problem. I also find that when some executors need to send a large result to driver, other executor can not receive response from driver and timeout.
> Spark application hang when dynamic allocation is enabled
> ---------------------------------------------------------
>
> Key: SPARK-16441
> URL: https://issues.apache.org/jira/browse/SPARK-16441
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.6.2
> Environment: hadoop 2.7.2 spark1.6.2
> Reporter: cen yuhai
>
> spark application are waiting for rpc response all the time and spark listener are blocked by dynamic allocation. Executors can not connect to driver and lost.
> "spark-dynamic-executor-allocation" #239 daemon prio=5 os_prio=0 tid=0x00007fa304438000 nid=0xcec6 waiting on condition [0x00007fa2b81e4000]
> java.lang.Thread.State: TIMED_WAITING (parking)
> at sun.misc.Unsafe.park(Native Method)
> - parking to wait for <0x000000070fdb94f8> (a scala.concurrent.impl.Promise$CompletionLatch)
> at java.util.concurrent.locks.LockSupport.parkNanos(LockSupport.java:215)
> at java.util.concurrent.locks.AbstractQueuedSynchronizer.doAcquireSharedNanos(AbstractQueuedSynchronizer.java:1037)
> at java.util.concurrent.locks.AbstractQueuedSynchronizer.tryAcquireSharedNanos(AbstractQueuedSynchronizer.java:1328)
> at scala.concurrent.impl.Promise$DefaultPromise.tryAwait(Promise.scala:208)
> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:218)
> at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
> at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
> at scala.concurrent.Await$.result(package.scala:107)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
> at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:77)
> at org.apache.spark.scheduler.cluster.YarnSchedulerBackend.doRequestTotalExecutors(YarnSchedulerBackend.scala:59)
> at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.requestTotalExecutors(CoarseGrainedSchedulerBackend.scala:436)
> - locked <0x00000000828a8960> (a org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend)
> at org.apache.spark.SparkContext.requestTotalExecutors(SparkContext.scala:1438)
> at org.apache.spark.ExecutorAllocationManager.addExecutors(ExecutorAllocationManager.scala:359)
> at org.apache.spark.ExecutorAllocationManager.updateAndSyncNumExecutorsTarget(ExecutorAllocationManager.scala:310)
> - locked <0x00000000880e6308> (a org.apache.spark.ExecutorAllocationManager)
> at org.apache.spark.ExecutorAllocationManager.org$apache$spark$ExecutorAllocationManager$$schedule(ExecutorAllocationManager.scala:264)
> - locked <0x00000000880e6308> (a org.apache.spark.ExecutorAllocationManager)
> at org.apache.spark.ExecutorAllocationManager$$anon$2.run(ExecutorAllocationManager.scala:223)
> "SparkListenerBus" #161 daemon prio=5 os_prio=0 tid=0x00007fa3053be000 nid=0xcec9 waiting for monitor entry [0x00007fa2b3dfc000]
> java.lang.Thread.State: BLOCKED (on object monitor)
> at org.apache.spark.ExecutorAllocationManager$ExecutorAllocationListener.onTaskEnd(ExecutorAllocationManager.scala:618)
> - waiting to lock <0x00000000880e6308> (a org.apache.spark.ExecutorAllocationManager)
> at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:42)
> at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
> at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
> at org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:55)
> at org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:37)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(AsynchronousListenerBus.scala:80)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(AsynchronousListenerBus.scala:65)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(AsynchronousListenerBus.scala:65)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(AsynchronousListenerBus.scala:64)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1182)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:63)
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