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Posted to issues@spark.apache.org by "Littlestar (JIRA)" <ji...@apache.org> on 2015/04/29 04:40:05 UTC
[jira] [Resolved] (SPARK-7193) "Spark on Mesos" may need more tests
for spark 1.3.1 release
[ https://issues.apache.org/jira/browse/SPARK-7193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Littlestar resolved SPARK-7193.
-------------------------------
Resolution: Invalid
I think official document missing some notes about "Spark on Mesos"
I worked well with following:
extract spark-1.3.1-bin-hadoop2.4.tgz, and modify conf\spark-env.sh and repack with new spark-1.3.1-bin-hadoop2.4.tgz, and then put to hdfs....
spark-env.sh set JAVA_HOME, HADOO_CONF_DIR, HADOO_HOME
> "Spark on Mesos" may need more tests for spark 1.3.1 release
> ------------------------------------------------------------
>
> Key: SPARK-7193
> URL: https://issues.apache.org/jira/browse/SPARK-7193
> Project: Spark
> Issue Type: Bug
> Components: Mesos
> Affects Versions: 1.3.1
> Reporter: Littlestar
>
> "Spark on Mesos" may need more tests for spark 1.3.1 release
> http://spark.apache.org/docs/latest/running-on-mesos.html
> I tested mesos 0.21.1/0.22.0/0.22.1 RC4.
> It just work well with "./bin/spark-shell --master mesos://host:5050".
> Any task need more than one nodes, it will throws the following exceptions.
> {noformat}
> Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 10 in stage 0.0 failed 4 times, most recent failure: Lost task 10.3 in stage 0.0 (TID 127, hpblade05): java.lang.IllegalStateException: unread block data
> at java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2393)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1378)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1963)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1887)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1770)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1346)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:368)
> at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68)
> at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:94)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> at java.lang.Thread.run(Thread.java:679)
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1204)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1193)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1192)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> 15/04/28 15:33:18 ERROR scheduler.LiveListenerBus: Listener EventLoggingListener threw an exception
> java.lang.reflect.InvocationTargetException
> at sun.reflect.GeneratedMethodAccessor3.invoke(Unknown Source)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
> at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:144)
> at org.apache.spark.scheduler.EventLoggingListener.onStageCompleted(EventLoggingListener.scala:165)
> at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:32)
> 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:1618)
> at org.apache.spark.util.AsynchronousListenerBus$$anon$1.run(AsynchronousListenerBus.scala:60)
> Caused by: java.io.IOException: Filesystem closed
> at org.apache.hadoop.hdfs.DFSClient.checkOpen(DFSClient.java:707)
> at org.apache.hadoop.hdfs.DFSOutputStream.flushOrSync(DFSOutputStream.java:1843)
> at org.apache.hadoop.hdfs.DFSOutputStream.hflush(DFSOutputStream.java:1804)
> at org.apache.hadoop.fs.FSDataOutputStream.hflush(FSDataOutputStream.java:127)
> ... 18 more
> 15/04/28 15:33:18 ERROR scheduler.LiveListenerBus: Listener EventLoggingListener threw an exception
> java.lang.reflect.InvocationTargetException
> at sun.reflect.GeneratedMethodAccessor3.invoke(Unknown Source)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
> at org.apache.spark.scheduler.EventLoggingListener$$anonfun$logEvent$3.apply(EventLoggingListener.scala:144)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.EventLoggingListener.logEvent(EventLoggingListener.scala:144)
> at org.apache.spark.scheduler.EventLoggingListener.onJobEnd(EventLoggingListener.scala:169)
> at org.apache.spark.scheduler.SparkListenerBus$class.onPostEvent(SparkListenerBus.scala:36)
> at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
> at org.apache.spark.scheduler.LiveListenerBus.onPostEvent(LiveListenerBus.scala:31)
> at org.apache.spark.util.ListenerBus$class.postToAll(ListenerBus.scala:53)
> at org.apache.spark.util.AsynchronousListenerBus.postToAll(AsynchronousListenerBus.scala:36)
> at org.apache.spark.util.AsynchronousListenerBus$$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$$anonfun$run$1.apply(AsynchronousListenerBus.scala:61)
> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1618)
> at org.apache.spark.util.AsynchronousListenerBus$$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)
> ... 18 more
> {noformat}
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