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https://issues.apache.org/jira/browse/SPARK-1407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13963456#comment-13963456
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Thomas Graves commented on SPARK-1407:
--------------------------------------
That was the problem. I modified SparkHdfsLR to not do the System.exit and the
logging works now. I'll close this and open one to change the examples to not
do the System.exit
> EventLogging to HDFS doesn't work properly on yarn
> --------------------------------------------------
>
> Key: SPARK-1407
> URL: https://issues.apache.org/jira/browse/SPARK-1407
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.0.0
> Reporter: Thomas Graves
> Priority: Blocker
>
> When running on spark on yarn and accessing an HDFS file (like in the
> SparkHdfsLR example) while using the event logging configured to write logs
> to HDFS, it throws an exception at the end of the application.
> SPARK_JAVA_OPTS=-Dspark.eventLog.enabled=true
> -Dspark.eventLog.dir=hdfs:///history/spark/
> 14/04/03 13:41:31 INFO yarn.ApplicationMaster$$anon$1: Invoking sc stop from
> shutdown hook
> Exception in thread "Thread-41" java.io.IOException: Filesystem closed
> at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:398)
> at
> org.apache.hadoop.hdfs.DFSOutputStream.hflush(DFSOutputStream.java:1465)
> at
> org.apache.hadoop.hdfs.DFSOutputStream.sync(DFSOutputStream.java:1450)
> at
> org.apache.hadoop.fs.FSDataOutputStream.sync(FSDataOutputStream.java:116)
> at
> org.apache.spark.util.FileLogger$$anonfun$flush$2.apply(FileLogger.scala:137)
> at
> org.apache.spark.util.FileLogger$$anonfun$flush$2.apply(FileLogger.scala:137)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.util.FileLogger.flush(FileLogger.scala:137)
> at
> org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:69)
> at
> org.apache.spark.scheduler.EventLoggingListener.onApplicationEnd(EventLoggingListener.scala:101)
> at
> org.apache.spark.scheduler.SparkListenerBus$$anonfun$postToAll$13.apply(SparkListenerBus.scala:67)
> at
> org.apache.spark.scheduler.SparkListenerBus$$anonfun$postToAll$13.apply(SparkListenerBus.scala:67)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.SparkListenerBus$class.postToAll(SparkListenerBus.scala:67)
> at
> org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:31)
> at
> org.apache.spark.scheduler.LiveListenerBus.post(LiveListenerBus.scala:78)
> at
> org.apache.spark.SparkContext.postApplicationEnd(SparkContext.scala:1081)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:828)
> at
> org.apache.spark.deploy.yarn.ApplicationMaster$$anon$1.run(ApplicationMaster.scala:460)
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