I have numpy on the cluster. Otherwise the pySpark can't work also in terminal.
And I also tried to use numpy in python terminal. It can work. Any other reason? On Thu, Feb 2, 2017 at 4:52 PM, Jianfeng (Jeff) Zhang < jzh...@hortonworks.com> wrote: > > Please try to install numpy > > > Best Regard, > Jeff Zhang > > > From: mingda li <limingda1...@gmail.com> > Reply-To: "users@zeppelin.apache.org" <users@zeppelin.apache.org> > Date: Friday, February 3, 2017 at 6:03 AM > To: "users@zeppelin.apache.org" <users@zeppelin.apache.org> > Subject: Re: Error about PySpark > > And I tried the ./bin/pyspark to run same program with package of mllib, > That can work well for spark. > > So do I need to set something for Zeppelin? Like PySpark_Python or > PythonPath. > > Bests, > Mingda > > On Thu, Feb 2, 2017 at 12:07 PM, mingda li <limingda1...@gmail.com> wrote: > >> Thanks. But when I changed the env of zeppelin as following: >> >> export JAVA_HOME=/home/clash/asterixdb/jdk1.8.0_101 >> >> export ZEPPELIN_PORT=19037 >> >> export SPARK_HOME=/home/clash/sparks/spark-1.6.1-bin-hadoop12 >> Each time, if I want to use the mllib in zeppelin, I will meet the >> problem: >> >> Py4JJavaError: An error occurred while calling >> z:org.apache.spark.api.python.PythonRDD.runJob. >> : org.apache.spark.SparkException: Job aborted due to stage failure: >> Task 0 in stage 5.0 failed 4 times, most recent failure: Lost task 0.3 in >> stage 5.0 (TID 13, SCAI05.CS.UCLA.EDU): >> org.apache.spark.api.python.PythonException: >> Traceback (most recent call last): >> File >> "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pyspark.zip/pyspark/worker.py", >> line 98, in main >> command = pickleSer._read_with_length(infile) >> File "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pysp >> ark.zip/pyspark/serializers.py", line 164, in _read_with_length >> return self.loads(obj) >> File "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pysp >> ark.zip/pyspark/serializers.py", line 422, in loads >> return pickle.loads(obj) >> File "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pysp >> ark.zip/pyspark/mllib/__init__.py", line 25, in <module> >> ImportError: No module named numpy >> at org.apache.spark.api.python.PythonRunner$$anon$1.read(Python >> RDD.scala:166) >> at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(Pyth >> onRDD.scala:207) >> at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125) >> at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70) >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) >> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> at org.apache.spark.scheduler.Task.run(Task.scala:89) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPool >> Executor.java:1142) >> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoo >> lExecutor.java:617) >> at java.lang.Thread.run(Thread.java:745) >> Driver stacktrace: >> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$sch >> eduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$ >> 1.apply(DAGScheduler.scala:1419) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$ >> 1.apply(DAGScheduler.scala:1418) >> at scala.collection.mutable.ResizableArray$class.foreach(Resiza >> bleArray.scala:59) >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGSchedu >> ler.scala:1418) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskS >> etFailed$1.apply(DAGScheduler.scala:799) >> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskS >> etFailed$1.apply(DAGScheduler.scala:799) >> at scala.Option.foreach(Option.scala:236) >> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed( >> DAGScheduler.scala:799) >> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOn >> Receive(DAGScheduler.scala:1640) >> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onRe >> ceive(DAGScheduler.scala:1599) >> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onRe >> ceive(DAGScheduler.scala:1588) >> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) >> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845) >> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858) >> at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:393) >> at org.apache.spark.api.python.PythonRDD.runJob(PythonRDD.scala) >> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAcce >> ssorImpl.java:62) >> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMe >> thodAccessorImpl.java:43) >> at java.lang.reflect.Method.invoke(Method.java:498) >> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) >> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) >> at py4j.Gateway.invoke(Gateway.java:259) >> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133) >> at py4j.commands.CallCommand.execute(CallCommand.java:79) >> at py4j.GatewayConnection.run(GatewayConnection.java:209) >> at java.lang.Thread.run(Thread.java:745) >> Caused by: org.apache.spark.api.python.PythonException: Traceback (most >> recent call last): >> File >> "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pyspark.zip/pyspark/worker.py", >> line 98, in main >> command = pickleSer._read_with_length(infile) >> File "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pysp >> ark.zip/pyspark/serializers.py", line 164, in _read_with_length >> return self.loads(obj) >> File "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pysp >> ark.zip/pyspark/serializers.py", line 422, in loads >> return pickle.loads(obj) >> File "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pysp >> ark.zip/pyspark/mllib/__init__.py", line 25, in <module> >> ImportError: No module named numpy >> at org.apache.spark.api.python.PythonRunner$$anon$1.read(Python >> RDD.scala:166) >> at org.apache.spark.api.python.PythonRunner$$anon$1.<init>(Pyth >> onRDD.scala:207) >> at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125) >> at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70) >> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) >> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) >> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> at org.apache.spark.scheduler.Task.run(Task.scala:89) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPool >> Executor.java:1142) >> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoo >> lExecutor.java:617) >> ... 1 more >> (<class 'py4j.protocol.Py4JJavaError'>, Py4JJavaError(u'An error >> occurred while calling z:org.apache.spark.api.python.PythonRDD.runJob.\n', >> JavaObject id=o108), <traceback object at 0x7f3054e56f80>) >> >> Do you know why? Do I need to set the python path? >> >> On Wed, Feb 1, 2017 at 1:33 AM, Hyung Sung Shim <hss...@nflabs.com> >> wrote: >> >>> Hello. >>> You don't need to remove the /tmp/zeppelin_pyspark-4018989172273347075.py >>> because it is generated automatically when you run the pyspark command. >>> and I think you don't need to set PYTHONPATH if you have python in your >>> system. >>> >>> I recommend you are using the SPARK_HOME like following. >>> *export SPARK_HOME=/home/clash/sparks/spark-1.6.1-bin-hadoop12* >>> >>> now you can restart zeppelin please run your python command. >>> >>> *. Could you give the absolute path for logFile like following. >>> logFile = "/Users/user/hiv.data" >>> >>> >>> 2017-02-01 11:48 GMT+09:00 mingda li <limingda1...@gmail.com>: >>> >>>> Dear all, >>>> >>>> We are using Zeppelin. And I have added the export >>>> PYTHONPATH=/home/clash/sparks/spark-1.6.1-bin-hadoop12/python >>>> to zeppelin-env.sh. >>>> But each time, when I want to use pyspark, for example the program: >>>> >>>> %pyspark >>>> from pyspark import SparkContext >>>> logFile = "hiv.data" >>>> logData = sc.textFile(logFile).cache() >>>> numAs = logData.filter(lambda s: 'a' in s).count() >>>> numBs = logData.filter(lambda s: 'b' in s).count() >>>> print "Lines with a: %i, lines with b: %i" % (numAs, numBs) >>>> >>>> It can firstly run well. But second time, I run it again I will get >>>> such error: >>>> *Traceback (most recent call last):* >>>> * File "/tmp/zeppelin_pyspark-4018989172273347075.py", line 238, in >>>> <module>* >>>> * sc.setJobGroup(jobGroup, "Zeppelin")* >>>> * File >>>> "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/pyspark/context.py", >>>> line 876, in setJobGroup* >>>> * self._jsc.setJobGroup(groupId, description, interruptOnCancel)* >>>> *AttributeError: 'NoneType' object has no attribute 'setJobGroup'* >>>> >>>> *I need to rm */tmp/zeppelin_pyspark-4018989172273347075.py and start >>>> zeppelin again to let it work. >>>> Does anyone have idea why? >>>> >>>> Thanks >>>> >>> >>> >> >
