what could cause this type of 'stage failure'? Thanks!
This is a simple py spark script to list data in hbase.
command line: ./spark-submit --driver-class-path
~/spark-examples-1.1.0-hadoop2.3.0.jar /root/workspace/test/sparkhbase.py
14/10/21 17:53:50 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory
on ip-***.ec2.internal:35201 (size: 1470.0 B, free: 265.4 MB)
14/10/21 17:53:50 INFO BlockManagerMaster: Updated info of block
broadcast_2_piece0
14/10/21 17:53:50 INFO DAGScheduler: Submitting 1 missing tasks from Stage 0
(MappedRDD[1] at map at PythonHadoopUtil.scala:185)
14/10/21 17:53:50 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
14/10/21 17:53:53 INFO SparkDeploySchedulerBackend: Registered executor:
Actor[akka.tcp://sparkExecutor@ip-***.ec2.internal:34050/user/Executor#681287499]
with ID 0
14/10/21 17:53:53 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID
0, ip-****.internal, ANY, 1264 bytes)
14/10/21 17:53:53 INFO SparkDeploySchedulerBackend: Registered executor:
Actor[akka.tcp://sparkExecutor@ip-***.ec2.internal:47483/user/Executor#-936252397]
with ID 1
14/10/21 17:53:53 INFO BlockManagerMasterActor: Registering block manager
ip-****2.internal:49236 with 3.1 GB RAM
14/10/21 17:53:54 INFO BlockManagerMasterActor: Registering block manager
ip-.ec2.internal:36699 with 3.1 GB RAM
14/10/21 17:53:54 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0,
ip-.ec2.internal): java.lang.IllegalStateException: unread block data
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:159)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
14/10/21 17:53:54 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID
1, ip-.internal, ANY, 1264 bytes)
14/10/21 17:53:54 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 1) on
executor ip-.internal: java.lang.IllegalStateException (unread block data)
[duplicate 1]
14/10/21 17:53:54 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID
2, ip-.internal, ANY, 1264 bytes)
14/10/21 17:53:54 INFO TaskSetManager: Lost task 0.2 in stage 0.0 (TID 2) on
executor ip-.internal: java.lang.IllegalStateException (unread block data)
[duplicate 2]
14/10/21 17:53:54 INFO TaskSetManager: Starting task 0.3 in stage 0.0 (TID
3, ip-.internal, ANY, 1264 bytes)
14/10/21 17:53:54 INFO TaskSetManager: Lost task 0.3 in stage 0.0 (TID 3) on
executor ip-2.internal: java.lang.IllegalStateException (unread block data)
[duplicate 3]
14/10/21 17:53:54 ERROR TaskSetManager: Task 0 in stage 0.0 failed 4 times;
aborting job
14/10/21 17:53:54 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks
have all completed, from pool
14/10/21 17:53:54 INFO TaskSchedulerImpl: Cancelling stage 0
14/10/21 17:53:54 INFO DAGScheduler: Failed to run first at
SerDeUtil.scala:70
Traceback (most recent call last):
File "/root/workspace/test/sparkhbase.py", line 17, in <module>
conf=conf2)
File "/root/spark/python/pyspark/context.py", line 471, in newAPIHadoopRDD
jconf, batchSize)
File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File "/root/spark/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, ip-internal): java.lang.IllegalStateException: unread block data
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:159)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
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)
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