Hi Team,
I'm getting below exception for saving the results into hadoop.
*Code :*
rdd.saveAsTextFile("hdfs://localhost:9000/home/rajesh/data/result.rdd")
Could you please help me how to resolve this issue.
15/03/13 17:19:31 INFO spark.SparkContext: Starting job: saveAsTextFile at
NativeMethodAccessorImpl.java:-2
15/03/13 17:19:31 INFO scheduler.DAGScheduler: Got job 6 (saveAsTextFile at
NativeMethodAccessorImpl.java:-2) with 4 output partitions
(allowLocal=false)
15/03/13 17:19:31 INFO scheduler.DAGScheduler: Final stage: Stage
10(saveAsTextFile at NativeMethodAccessorImpl.java:-2)
15/03/13 17:19:31 INFO scheduler.DAGScheduler: Parents of final stage:
List()
15/03/13 17:19:31 INFO scheduler.DAGScheduler: Missing parents: List()
15/03/13 17:19:31 INFO scheduler.DAGScheduler: Submitting Stage 10
(MappedRDD[31] at saveAsTextFile at NativeMethodAccessorImpl.java:-2),
which has no missing parents
15/03/13 17:19:31 INFO storage.MemoryStore: ensureFreeSpace(98240) called
with curMem=203866, maxMem=280248975
15/03/13 17:19:31 INFO storage.MemoryStore: Block broadcast_9 stored as
values in memory (estimated size 95.9 KB, free 267.0 MB)
15/03/13 17:19:31 INFO storage.MemoryStore: ensureFreeSpace(59150) called
with curMem=302106, maxMem=280248975
15/03/13 17:19:31 INFO storage.MemoryStore: Block broadcast_9_piece0 stored
as bytes in memory (estimated size 57.8 KB, free 266.9 MB)
15/03/13 17:19:31 INFO storage.BlockManagerInfo: Added broadcast_9_piece0
in memory on localhost:57655 (size: 57.8 KB, free: 267.2 MB)
15/03/13 17:19:31 INFO storage.BlockManagerMaster: Updated info of block
broadcast_9_piece0
15/03/13 17:19:31 INFO spark.SparkContext: Created broadcast 9 from
broadcast at DAGScheduler.scala:838
15/03/13 17:19:31 INFO scheduler.DAGScheduler: Submitting 4 missing tasks
from Stage 10 (MappedRDD[31] at saveAsTextFile at
NativeMethodAccessorImpl.java:-2)
15/03/13 17:19:31 INFO scheduler.TaskSchedulerImpl: Adding task set 10.0
with 4 tasks
15/03/13 17:19:31 INFO scheduler.TaskSetManager: Starting task 0.0 in stage
10.0 (TID 8, localhost, PROCESS_LOCAL, 1375 bytes)
15/03/13 17:19:31 INFO executor.Executor: Running task 0.0 in stage 10.0
(TID 8)
15/03/13 17:19:31 INFO executor.Executor: Fetching
http://10.0.2.15:54815/files/sftordd_pickle with timestamp 1426247370763
15/03/13 17:19:31 INFO util.Utils: Fetching
http://10.0.2.15:54815/files/sftordd_pickle to
/tmp/fetchFileTemp7846328782039551224.tmp
15/03/13 17:19:31 INFO Configuration.deprecation: mapred.output.dir is
deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir
15/03/13 17:19:31 INFO Configuration.deprecation: mapred.output.key.class
is deprecated. Instead, use mapreduce.job.output.key.class
15/03/13 17:19:31 INFO Configuration.deprecation: mapred.output.value.class
is deprecated. Instead, use mapreduce.job.output.value.class
15/03/13 17:19:31 INFO Configuration.deprecation: mapred.working.dir is
deprecated. Instead, use mapreduce.job.working.dir
terminate called after throwing an instance of 'std::invalid_argument'
what(): stoi
15/03/13 17:19:31 ERROR python.PythonRDD: Python worker exited unexpectedly
(crashed)
org.apache.spark.api.python.PythonException: Traceback (most recent call
last):
File "/home/rajesh/spark-1.2.0/python/pyspark/worker.py", line 90, in main
command = pickleSer._read_with_length(infile)
File "/home/rajesh/spark-1.2.0/python/pyspark/serializers.py", line 145,
in _read_with_length
length = read_int(stream)
File "/home/rajesh/spark-1.2.0/python/pyspark/serializers.py", line 511,
in read_int
raise EOFError
EOFError
at
org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:137)
at
org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:174)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:96)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.Exception: Subprocess exited with status 134
at org.apache.spark.rdd.PipedRDD$$anon$1.hasNext(PipedRDD.scala:161)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:378)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:242)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1460)
at
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:203)
15/03/13 17:19:31 ERROR python.PythonRDD: This may have been caused by a
prior exception:
java.lang.Exception: Subprocess exited with status 134
at org.apache.spark.rdd.PipedRDD$$anon$1.hasNext(PipedRDD.scala:161)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:378)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:242)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1460)
at
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:203)
15/03/13 17:19:31 ERROR executor.Executor: Exception in task 0.0 in stage
10.0 (TID 8)
java.lang.Exception: Subprocess exited with status 134
at org.apache.spark.rdd.PipedRDD$$anon$1.hasNext(PipedRDD.scala:161)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:378)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:242)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1460)
at
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:203)
15/03/13 17:19:31 INFO scheduler.TaskSetManager: Starting task 1.0 in stage
10.0 (TID 9, localhost, PROCESS_LOCAL, 1379 bytes)
15/03/13 17:19:31 WARN scheduler.TaskSetManager: Lost task 0.0 in stage
10.0 (TID 8, localhost): java.lang.Exception: Subprocess exited with status
134
at org.apache.spark.rdd.PipedRDD$$anon$1.hasNext(PipedRDD.scala:161)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:378)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:242)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1460)
at
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:203)
15/03/13 17:19:31 ERROR scheduler.TaskSetManager: Task 0 in stage 10.0
failed 1 times; aborting job
15/03/13 17:19:31 INFO executor.Executor: Running task 1.0 in stage 10.0
(TID 9)
15/03/13 17:19:31 INFO scheduler.TaskSchedulerImpl: Cancelling stage 10
15/03/13 17:19:31 INFO scheduler.TaskSchedulerImpl: Stage 10 was cancelled
15/03/13 17:19:31 INFO executor.Executor: Executor is trying to kill task
1.0 in stage 10.0 (TID 9)
15/03/13 17:19:31 INFO scheduler.DAGScheduler: Job 6 failed: saveAsTextFile
at NativeMethodAccessorImpl.java:-2, took 0.637784 s
Traceback (most recent call last):
File "/home/rajesh/Downloads/PythonExamples/src/test13.py", line 90, in
<module>
rdd.saveAsTextFile("hdfs://localhost:9000/home/rajesh/graphdata/graphX/result.rdd")
File "/home/rajesh/spark-1.2.0/python/pyspark/rdd.py", line 1288, in
saveAsTextFile
keyed._jrdd.map(self.ctx._jvm.BytesToString()).saveAsTextFile(path)
File
"/home/rajesh/spark-1.2.0/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File
"/home/rajesh/spark-1.2.0/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
o136.saveAsTextFile.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 10.0 failed 1 times, most recent failure: Lost task 0.0 in stage
10.0 (TID 8, localhost): java.lang.Exception: Subprocess exited with status
134
at org.apache.spark.rdd.PipedRDD$$anon$1.hasNext(PipedRDD.scala:161)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at
org.apache.spark.api.python.PythonRDD$.writeIteratorToStream(PythonRDD.scala:378)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:242)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at
org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204)
at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1460)
at
org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:203)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org
$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
at akka.actor.ActorCell.invoke(ActorCell.scala:487)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
at akka.dispatch.Mailbox.run(Mailbox.scala:220)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
[INFO] Stopping the server connection.
15/03/13 17:19:32 WARN python.PythonRDD: Incomplete task interrupted:
Attempting to kill Python Worker
Exception in thread "stdin writer for
ArrayBuffer(/usr/local/lib/python2.7/dist-packages/graphlab/sftordd_pickle,
/var/tmp/graphlab-rajesh/13542/c4fc2a39-5e0b-4c31-9013-07fee2b961a4)"
org.apache.spark.TaskKilledException
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.rdd.PipedRDD$$anon$3.run(PipedRDD.scala:140)
Regards,
Rajesh
