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From Davies Liu <dav...@databricks.com>
Subject Re: python: module pyspark.daemon not found
Date Wed, 31 Dec 2014 01:36:13 GMT
Could you share a link about this? It's common to use Java 7, that
will be nice if we can fix this.

On Mon, Dec 29, 2014 at 1:27 PM, Eric Friedman
<eric.d.friedman@gmail.com> wrote:
> Was your spark assembly jarred with Java 7?  There's a known issue with jar
> files made with that version. It prevents them from being used on
> PYTHONPATH. You can rejar with Java 6 for better results.
>
> ----
> Eric Friedman
>
> On Dec 29, 2014, at 8:01 AM, Naveen Kumar Pokala <npokala@spcapitaliq.com>
> wrote:
>
>
>
> 14/12/29 18:10:56 INFO TaskSetManager: Starting task 0.1 in stage 0.0 (TID
> 2, nj09mhf0730.mhf.mhc, PROCESS_LOCAL, 1246 bytes)
>
> 14/12/29 18:10:56 INFO TaskSetManager: Lost task 1.0 in stage 0.0 (TID 1) on
> executor nj09mhf0730.mhf.mhc: org.apache.spark.SparkException (
>
> 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-install/spark-master/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.4.0.jar:/home/npokala/data/spark-install/spark-master/sbin/../python/lib/py4j-0.8.2.1-src.zip:/home/npokala/data/spark-install/spark-master/sbin/../python:
>
> java.io.EOFException) [duplicate 1]
>
> 14/12/29 18:10:56 INFO TaskSetManager: Starting task 1.1 in stage 0.0 (TID
> 3, nj09mhf0731.mhf.mhc, PROCESS_LOCAL, 1246 bytes)
>
> 14/12/29 18:10:56 INFO TaskSetManager: Lost task 0.1 in stage 0.0 (TID 2) on
> executor nj09mhf0730.mhf.mhc: org.apache.spark.SparkException (
>
> 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-install/spark-master/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.4.0.jar:/home/npokala/data/spark-install/spark-master/sbin/../python/lib/py4j-0.8.2.1-src.zip:/home/npokala/data/spark-install/spark-master/sbin/../python:
>
> java.io.EOFException) [duplicate 2]
>
> 14/12/29 18:10:56 INFO TaskSetManager: Starting task 0.2 in stage 0.0 (TID
> 4, nj09mhf0731.mhf.mhc, PROCESS_LOCAL, 1246 bytes)
>
> 14/12/29 18:10:58 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory
> on nj09mhf0731.mhf.mhc:48802 (size: 3.4 KB, free: 265.1 MB)
>
> 14/12/29 18:10:58 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory
> on nj09mhf0731.mhf.mhc:41243 (size: 3.4 KB, free: 265.1 MB)
>
> 14/12/29 18:10:59 INFO TaskSetManager: Lost task 1.1 in stage 0.0 (TID 3) on
> executor nj09mhf0731.mhf.mhc: org.apache.spark.SparkException (
>
> 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-install/spark-master/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.4.0.jar:/home/npokala/data/spark-install/spark-master/sbin/../python/lib/py4j-0.8.2.1-src.zip:/home/npokala/data/spark-install/spark-master/sbin/../python:
>
> java.io.EOFException) [duplicate 3]
>
> 14/12/29 18:10:59 INFO TaskSetManager: Starting task 1.2 in stage 0.0 (TID
> 5, nj09mhf0730.mhf.mhc, PROCESS_LOCAL, 1246 bytes)
>
> 14/12/29 18:10:59 INFO TaskSetManager: Lost task 0.2 in stage 0.0 (TID 4) on
> executor nj09mhf0731.mhf.mhc: org.apache.spark.SparkException (
>
> 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-install/spark-master/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.4.0.jar:/home/npokala/data/spark-install/spark-master/sbin/../python/lib/py4j-0.8.2.1-src.zip:/home/npokala/data/spark-install/spark-master/sbin/../python:
>
> java.io.EOFException) [duplicate 4]
>
> 14/12/29 18:10:59 INFO TaskSetManager: Starting task 0.3 in stage 0.0 (TID
> 6, nj09mhf0730.mhf.mhc, PROCESS_LOCAL, 1246 bytes)
>
> 14/12/29 18:11:00 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory
> on nj09mhf0730.mhf.mhc:60005 (size: 3.4 KB, free: 265.1 MB)
>
> 14/12/29 18:11:00 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory
> on nj09mhf0730.mhf.mhc:40227 (size: 3.4 KB, free: 265.1 MB)
>
> 14/12/29 18:11:01 INFO TaskSetManager: Lost task 0.3 in stage 0.0 (TID 6) on
> executor nj09mhf0730.mhf.mhc: org.apache.spark.SparkException (
>
> 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-install/spark-master/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.4.0.jar:/home/npokala/data/spark-install/spark-master/sbin/../python/lib/py4j-0.8.2.1-src.zip:/home/npokala/data/spark-install/spark-master/sbin/../python:
>
> java.io.EOFException) [duplicate 5]
>
> 14/12/29 18:11:01 ERROR TaskSetManager: Task 0 in stage 0.0 failed 4 times;
> aborting job
>
> 14/12/29 18:11:01 INFO TaskSchedulerImpl: Cancelling stage 0
>
> 14/12/29 18:11:01 INFO TaskSchedulerImpl: Stage 0 was cancelled
>
> 14/12/29 18:11:01 INFO DAGScheduler: Job 0 failed: reduce at
> D:\WorkSpace\python\spark\src\test\__init__.py:21, took 15.491196 s
>
> Traceback (most recent call last):
>
>   File "D:\WorkSpace\python\spark\src\test\__init__.py", line 21, in
> <module>
>
>     count = sc.parallelize(xrange(1, n + 1), partitions).map(f).reduce(add)
>
>   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 6, nj09mhf0730.mhf.mhc): org.apache.spark.SparkException:
>
> 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-install/spark-master/assembly/target/scala-2.10/spark-assembly-1.3.0-SNAPSHOT-hadoop2.4.0.jar:/home/npokala/data/spark-install/spark-master/sbin/../python/lib/py4j-0.8.2.1-src.zip:/home/npokala/data/spark-install/spark-master/sbin/../python:
>
> 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 can anyone suggest me how to resolve the issue.
>
>
>
> -Naveen

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