Hi,
Got this error when running spark 1.1.0 to read Hbase 0.98.1 through simple
python code in a ec2 cluster. The same program runs correctly in local mode.
So this error only happens when running in a real cluster.
Here's what I got,
14/10/30 17:51:53 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID
1, node001, ANY, 1265 bytes)
14/10/30 17:51:53 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 1) on
executor node001: java.lang.IllegalStateException (unread block data)
[duplicate 1]
14/10/30 17:51:53 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID
2, node001, ANY, 1265 bytes)
14/10/30 17:51:53 INFO TaskSetManager: Lost task 0.2 in stage 0.0 (TID 2) on
executor node001: java.lang.IllegalStateException (unread block data)
[duplicate 2]
14/10/30 17:51:53 INFO TaskSetManager: Starting task 0.3 in stage 0.0 (TID
3, node001, ANY, 1265 bytes)
14/10/30 17:51:53 INFO TaskSetManager: Lost task 0.3 in stage 0.0 (TID 3) on
executor node001: java.lang.IllegalStateException (unread block data)
[duplicate 3]
14/10/30 17:51:53 ERROR TaskSetManager: Task 0 in stage 0.0 failed 4 times;
aborting job
14/10/30 17:51:53 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks
have all completed, from pool
14/10/30 17:51:53 INFO TaskSchedulerImpl: Cancelling stage 0
14/10/30 17:51:53 INFO DAGScheduler: Failed to run first at
SerDeUtil.scala:70
Traceback (most recent call last):
File "/root/workspace/test/sparkhbase.py", line 22, in <module>
conf=conf2)
File "/root/spark-1.1.0/python/pyspark/context.py", line 471, in
newAPIHadoopRDD
jconf, batchSize)
File
"/root/spark-1.1.0/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File "/root/spark-1.1.0/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.newAPIHadoopRDD.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0
(TID 3, node001): java.lang.IllegalStateException: unread block data
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2399)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1378)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1969)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1776)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1346)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:368)
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:159)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1146)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:679)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
The command I use to run this is,
./spark-submit --master spark://master:7077 --driver-class-path
../examples/target/scala-2.10/spark-examples-1.1.0-hadoop2.3.0.jar
~/workspace/test/sparkhbase.py
(It ran fine when using: ./spark-submit --driver-class-path
../examples/target/scala-2.10/spark-examples-1.1.0-hadoop2.3.0.jar
~/workspace/test/sparkhbase.py)
Thanks for your help!
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