Hi There,
We’ve just started to trial out Spark at Bitly.
We are running Spark 1.2.1 on Cloudera(CDH-5.3.0) with Hadoop 2.5.0 and am
running into issues even just trying to run the python examples. Its just
being run in standalone mode i believe.
$ ./bin/spark-submit —driver-memory 2g examples/src/main/python/pi.py
error’s out with:
15/04/07 22:06:07 INFO DAGScheduler: Job 0 failed: reduce at
/app/bitly/local/spark/examples/src/main/python/pi.py:38, took
14.660785 s
Traceback (most recent call last):
File "/app/bitly/local/spark/examples/src/main/python/pi.py", line
38, in <module>
count = sc.parallelize(xrange(1, n + 1), partitions).map(f).reduce(add)
File "/bitly/local/spark/python/pyspark/rdd.py", line 715, in reduce
vals = self.mapPartitions(func).collect()
File "/bitly/local/spark/python/pyspark/rdd.py", line 676, in collect
bytesInJava = self._jrdd.collect().iterator()
File
"/bitly/local/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File "/bitly/local/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 o24.collect.
: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 1 in stage 0.0 failed 4 times, most recent failure: Lost task 1.3
in stage 0.0 (TID
7,[hadoop13.b.del.bitly.net](http://hadoop13.b.del.bitly.net/)):
org.apache.spark.SparkException: Python worker exited unexpectedly
(crashed)
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:170)
at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:174)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:96)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at org.apache.spark.executor.Executor$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.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:110)
... 10 more
Driver stacktrace:
at
[org.apache.spark.scheduler.DAGScheduler.org](http://org.apache.spark.scheduler.dagscheduler.org/)$apache$spark$scheduler$DAGScheduler$$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)
Any ideas? Let me know if you need anymore information.
Thanks!
Georgi
--
Georgi Knox
Application Engineer, Bitly <http://bit.ly/bitly_website>
Twitter <http://bit.ly/bitly_twitter> | Facebook
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@GeorgiCodes <https://twitter.com/Georgicodes>
