Cheolsoo Park created SPARK-6014:
------------------------------------
Summary: java.io.IOException: Filesystem is thrown when ctrl+c or
ctrl+d spark-sql on YARN
Key: SPARK-6014
URL: https://issues.apache.org/jira/browse/SPARK-6014
Project: Spark
Issue Type: Bug
Affects Versions: 1.3.0
Environment: Hadoop 2.4, YARN
Reporter: Cheolsoo Park
Priority: Minor
This is a regression of SPARK-2261. In branch-1.3 and master,
{{EventLoggingListener}} throws "{{java.io.IOException: Filesystem closed}}"
when ctrl+c or ctrl+d the spark-sql shell.
The root cause is that DFSClient is already shut down before
EventLoggingListener invokes the following HDFS methods, and thus,
DFSClient.isClientRunning() check fails-
{code}
Line #135: hadoopDataStream.foreach(hadoopFlushMethod.invoke(_))
Line #187: if (fileSystem.exists(target)) {
{code}
The followings are full stack trace-
{code}
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:135)
at
org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:135)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:135)
at
org.apache.spark.scheduler.EventLoggingListener.onApplicationEnd(EventLoggingListener.scala:170)
at
org.apache.spark.scheduler.SparkListenerBus$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:53)
at
org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:36)
at
org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply$mcV$sp(AsynchronousListenerBus.scala:76)
at
org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply(AsynchronousListenerBus.scala:61)
at
org.apache.spark.util.AsynchronousListenerBus$$anon$1$$anonfun$run$1.apply(AsynchronousListenerBus.scala:61)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1613)
at
org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:60)
Caused by: java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:707)
at
org.apache.hadoop.hdfs.DFSOutputStream.flushOrSync(DFSOutputStream.java:1843)
at
org.apache.hadoop.hdfs.DFSOutputStream.hflush(DFSOutputStream.java:1804)
at
org.apache.hadoop.fs.FSDataOutputStream.hflush(FSDataOutputStream.java:127)
... 19 more
{code}
{code}
Exception in thread "Thread-3" java.io.IOException: Filesystem closed
at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:707)
at org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1760)
at
org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1124)
at
org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1120)
at
org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at
org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1120)
at org.apache.hadoop.fs.FileSystem.exists(FileSystem.java:1398)
at
org.apache.spark.scheduler.EventLoggingListener.stop(EventLoggingListener.scala:187)
at
org.apache.spark.SparkContext$$anonfun$stop$4.apply(SparkContext.scala:1379)
at
org.apache.spark.SparkContext$$anonfun$stop$4.apply(SparkContext.scala:1379)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.SparkContext.stop(SparkContext.scala:1379)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLEnv$.stop(SparkSQLEnv.scala:66)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$$anon$1.run(SparkSQLCLIDriver.scala:107)
{code}
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