Hi,
I am receiving the following error when I am trying to connect spark cluster(
which is on unix) from my windows machine using pyspark interactive shell
> pyspark -master (spark cluster url)
Then I executed the following commands.
>>>>lines = sc.textFile("hdfs://master/data/spark/SINGLE.TXT")
>>>>lineLengths = lines.map(lambda s: len(s))
>>>>totalLength = lineLengths.reduce(lambda a, b: a + b)
I got the following Error
14/12/31 16:20:15 INFO DAGScheduler: Job 0 failed: reduce at <stdin>:1, took
6.960438 s
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\npokala\Downloads\spark-master\python\pyspark\rdd.py", line
715, in reduce
vals = self.mapPartitions(func).collect()
File "C:\Users\npokala\Downloads\spark-master\python\pyspark\rdd.py", line
676, in collect
bytesInJava = self._jrdd.collect().iterator()
File
"C:\Users\npokala\Downloads\spark-master\python\lib\py4j-0.8.2.1-src.zip\py4j\java_gateway.py",
line 538, in __call__
File
"C:\Users\npokala\Downloads\spark-master\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 o23.collect.
: 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
7,
Error from python worker:
python: module pyspark.daemon not found
PYTHONPATH was:
/home/npokala/data/spark-install/spark-master/python:/home/npokala/data/spark-install/spark-master/python/lib/py4j-0.8.2.1-src.zip:/home/npokala/data/spark-ins
java.io.EOFException
at java.io.DataInputStream.readInt(DataInputStream.java:392)
at
org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163)
at
org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:86)
at
org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:62)
at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:102)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:265)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:232)
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$TaskRunner.run(Executor.scala:196)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
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)
Please help me to resolve this issue.
-Naveen
From: Naveen Kumar Pokala [mailto:[email protected]]
Sent: Wednesday, December 31, 2014 2:28 PM
To: [email protected]
Subject: pyspark.daemon not found
Error from python worker:
python: module pyspark.daemon not found
PYTHONPATH was:
/home/npokala/data/spark-install/spark-master/python:....
Please can somebody help me on this, how to resolve the issue.
-Naveen
