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Posted to issues@spark.apache.org by "Zhang, Liye (JIRA)" <ji...@apache.org> on 2015/05/26 11:56:17 UTC
[jira] [Updated] (SPARK-7865) Hadoop Filesystem for eventlog closed
before sparkContext stopped
[ https://issues.apache.org/jira/browse/SPARK-7865?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Zhang, Liye updated SPARK-7865:
-------------------------------
Description:
After [SPARK-3090|https://issues.apache.org/jira/browse/SPARK-3090] (patch [#5969|https://github.com/apache/spark/pull/5696]), SparkContext will be automatically stop if user forget to.
While when shutdownhook is called, Eventlog will give out following exception for flushing content:
{noformat}
15/05/26 17:40:38 INFO spark.SparkContext: Invoking stop() from shutdown hook
15/05/26 17:40:38 ERROR scheduler.LiveListenerBus: Listener EventLoggingListener threw an exception
java.lang.reflect.InvocationTargetException
at sun.reflect.GeneratedMethodAccessor20.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:144)
at org.apache.spark.scheduler.EventLoggingListener.onApplicationEnd(EventLoggingListener.scala:188)
at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:54)
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:56)
at org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:37)
at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(AsynchronousListenerBus.scala:79)
at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1180)
at org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:63)
Caused by: java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:323)
at org.apache.hadoop.hdfs.DFSClient.access$1200(DFSClient.java:78)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.sync(DFSClient.java:3877)
at org.apache.hadoop.fs.FSDataOutputStream.sync(FSDataOutputStream.java:97)
... 16 more
{noformat}
And exception for stopping:
{noformat}
15/05/26 17:40:39 INFO cluster.SparkDeploySchedulerBackend: Asking each executor to shut down
15/05/26 17:40:39 ERROR util.Utils: Uncaught exception in thread Spark Shutdown Hook
java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:323)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1057)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:554)
at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:788)
at org.apache.spark.scheduler.EventLoggingListener.stop(EventLoggingListener.scala:209)
at org.apache.spark.SparkContext$$anonfun$stop$5.apply(SparkContext.scala:1515)
at org.apache.spark.SparkContext$$anonfun$stop$5.apply(SparkContext.scala:1515)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1515)
at org.apache.spark.SparkContext$$anonfun$3.apply$mcV$sp(SparkContext.scala:527)
at org.apache.spark.util.SparkShutdownHook.run(Utils.scala:2211)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(Utils.scala:2181)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1732)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply$mcV$sp(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(Utils.scala:2181)
at scala.util.Try$.apply(Try.scala:161)
at org.apache.spark.util.SparkShutdownHookManager.runAll(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anon$6.run(Utils.scala:2163)
at java.lang.Thread.run(Thread.java:745)
{noformat}
The Hadoop version is 1.2.1. I'm wondering how the hadoop filesystem closed while spark doesn't explicitly calling the close() API.
was:
After [SPARK-3090|https://issues.apache.org/jira/browse/SPARK-6986] (patch [#5969|https://github.com/apache/spark/pull/5696]), SparkContext will be automatically stop if user forget to.
While when shutdownhook is called, Eventlog will give out following exception for flushing content:
{noformat}
15/05/26 17:40:38 INFO spark.SparkContext: Invoking stop() from shutdown hook
15/05/26 17:40:38 ERROR scheduler.LiveListenerBus: Listener EventLoggingListener threw an exception
java.lang.reflect.InvocationTargetException
at sun.reflect.GeneratedMethodAccessor20.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:144)
at org.apache.spark.scheduler.EventLoggingListener.onApplicationEnd(EventLoggingListener.scala:188)
at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:54)
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:56)
at org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:37)
at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(AsynchronousListenerBus.scala:79)
at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1180)
at org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:63)
Caused by: java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:323)
at org.apache.hadoop.hdfs.DFSClient.access$1200(DFSClient.java:78)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.sync(DFSClient.java:3877)
at org.apache.hadoop.fs.FSDataOutputStream.sync(FSDataOutputStream.java:97)
... 16 more
{noformat}
And exception for stopping:
{noformat}
15/05/26 17:40:39 INFO cluster.SparkDeploySchedulerBackend: Asking each executor to shut down
15/05/26 17:40:39 ERROR util.Utils: Uncaught exception in thread Spark Shutdown Hook
java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:323)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1057)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:554)
at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:788)
at org.apache.spark.scheduler.EventLoggingListener.stop(EventLoggingListener.scala:209)
at org.apache.spark.SparkContext$$anonfun$stop$5.apply(SparkContext.scala:1515)
at org.apache.spark.SparkContext$$anonfun$stop$5.apply(SparkContext.scala:1515)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1515)
at org.apache.spark.SparkContext$$anonfun$3.apply$mcV$sp(SparkContext.scala:527)
at org.apache.spark.util.SparkShutdownHook.run(Utils.scala:2211)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(Utils.scala:2181)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1732)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply$mcV$sp(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(Utils.scala:2181)
at scala.util.Try$.apply(Try.scala:161)
at org.apache.spark.util.SparkShutdownHookManager.runAll(Utils.scala:2181)
at org.apache.spark.util.SparkShutdownHookManager$$anon$6.run(Utils.scala:2163)
at java.lang.Thread.run(Thread.java:745)
{noformat}
The Hadoop version is 1.2.1. I'm wondering how the hadoop filesystem closed while spark doesn't explicitly calling the close() API.
> Hadoop Filesystem for eventlog closed before sparkContext stopped
> -----------------------------------------------------------------
>
> Key: SPARK-7865
> URL: https://issues.apache.org/jira/browse/SPARK-7865
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.4.0
> Reporter: Zhang, Liye
>
> After [SPARK-3090|https://issues.apache.org/jira/browse/SPARK-3090] (patch [#5969|https://github.com/apache/spark/pull/5696]), SparkContext will be automatically stop if user forget to.
> While when shutdownhook is called, Eventlog will give out following exception for flushing content:
> {noformat}
> 15/05/26 17:40:38 INFO spark.SparkContext: Invoking stop() from shutdown hook
> 15/05/26 17:40:38 ERROR scheduler.LiveListenerBus: Listener EventLoggingListener threw an exception
> java.lang.reflect.InvocationTargetException
> at sun.reflect.GeneratedMethodAccessor20.invoke(Unknown Source)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
> at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:144)
> at org.apache.spark.scheduler.EventLoggingListener.onApplicationEnd(EventLoggingListener.scala:188)
> at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:54)
> 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:56)
> at org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:37)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(AsynchronousListenerBus.scala:79)
> at org.apache.spark.util.Utils$.tryOrStopSparkContext(Utils.scala:1180)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:63)
> Caused by: java.io.IOException: Filesystem closed
> at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:323)
> at org.apache.hadoop.hdfs.DFSClient.access$1200(DFSClient.java:78)
> at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream.sync(DFSClient.java:3877)
> at org.apache.hadoop.fs.FSDataOutputStream.sync(FSDataOutputStream.java:97)
> ... 16 more
> {noformat}
> And exception for stopping:
> {noformat}
> 15/05/26 17:40:39 INFO cluster.SparkDeploySchedulerBackend: Asking each executor to shut down
> 15/05/26 17:40:39 ERROR util.Utils: Uncaught exception in thread Spark Shutdown Hook
> java.io.IOException: Filesystem closed
> at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:323)
> at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1057)
> at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:554)
> at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:788)
> at org.apache.spark.scheduler.EventLoggingListener.stop(EventLoggingListener.scala:209)
> at org.apache.spark.SparkContext$$anonfun$stop$5.apply(SparkContext.scala:1515)
> at org.apache.spark.SparkContext$$anonfun$stop$5.apply(SparkContext.scala:1515)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1515)
> at org.apache.spark.SparkContext$$anonfun$3.apply$mcV$sp(SparkContext.scala:527)
> at org.apache.spark.util.SparkShutdownHook.run(Utils.scala:2211)
> at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(Utils.scala:2181)
> at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(Utils.scala:2181)
> at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(Utils.scala:2181)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1732)
> at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply$mcV$sp(Utils.scala:2181)
> at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(Utils.scala:2181)
> at org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(Utils.scala:2181)
> at scala.util.Try$.apply(Try.scala:161)
> at org.apache.spark.util.SparkShutdownHookManager.runAll(Utils.scala:2181)
> at org.apache.spark.util.SparkShutdownHookManager$$anon$6.run(Utils.scala:2163)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> The Hadoop version is 1.2.1. I'm wondering how the hadoop filesystem closed while spark doesn't explicitly calling the close() API.
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