java.io.IOException: Filesystem closed

Apache's JIRA Issue Tracker | Thomas Graves | 3 years ago
tip
Your exception is missing from the Samebug knowledge base.
Here are the best solutions we found on the Internet.
Click on the to mark the helpful solution and get rewards for you help.
  1. 0

    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)

    Apache's JIRA Issue Tracker | 3 years ago | Thomas Graves
    java.io.IOException: Filesystem closed
  2. 0

    HDFS Closed Channel

    accumulo-user | 3 years ago | Roshan Punnoose
    java.lang.RuntimeException: java.lang.reflect.InvocationTargetException
  3. Speed up your debug routine!

    Automated exception search integrated into your IDE

    Root Cause Analysis

    1. java.io.IOException

      Filesystem closed

      at org.apache.hadoop.hdfs.DFSClient.checkOpen()
    2. Apache Hadoop HDFS
      DFSOutputStream.hsync
      1. org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:702)
      2. org.apache.hadoop.hdfs.DFSOutputStream.flushOrSync(DFSOutputStream.java:1832)
      3. org.apache.hadoop.hdfs.DFSOutputStream.hsync(DFSOutputStream.java:1815)
      4. org.apache.hadoop.hdfs.DFSOutputStream.hsync(DFSOutputStream.java:1798)
      4 frames
    3. Hadoop
      FSDataOutputStream.hsync
      1. org.apache.hadoop.fs.FSDataOutputStream.hsync(FSDataOutputStream.java:123)
      1 frame
    4. Spark
      FileLogger$$anonfun$flush$2.apply
      1. org.apache.spark.util.FileLogger$$anonfun$flush$2.apply(FileLogger.scala:138)
      2. org.apache.spark.util.FileLogger$$anonfun$flush$2.apply(FileLogger.scala:138)
      2 frames
    5. Scala
      Option.foreach
      1. scala.Option.foreach(Option.scala:236)
      1 frame
    6. Spark
      SparkListenerBus$$anonfun$postToAll$4.apply
      1. org.apache.spark.util.FileLogger.flush(FileLogger.scala:138)
      2. org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:64)
      3. org.apache.spark.scheduler.EventLoggingListener.onJobEnd(EventLoggingListener.scala:86)
      4. org.apache.spark.scheduler.SparkListenerBus$$anonfun$postToAll$4.apply(SparkListenerBus.scala:49)
      5. org.apache.spark.scheduler.SparkListenerBus$$anonfun$postToAll$4.apply(SparkListenerBus.scala:49)
      5 frames
    7. Scala
      ArrayBuffer.foreach
      1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      2. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
      2 frames
    8. Spark
      LiveListenerBus$$anon$1.run
      1. org.apache.spark.scheduler.SparkListenerBus$class.postToAll(SparkListenerBus.scala:49)
      2. org.apache.spark.scheduler.LiveListenerBus.postToAll(LiveListenerBus.scala:31)
      3. org.apache.spark.scheduler.LiveListenerBus$$anon$1.run(LiveListenerBus.scala:61)
      3 frames