Do you have multiple python installed ? From the error message, it is clear that it complains about no numpy is installed.
mingda li <limingda1...@gmail.com>于2017年2月3日周五 上午9:16写道： > 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/pyspark.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/pyspark.zip/pyspark/serializers.py", > line 422, in loads > return pickle.loads(obj) > File > "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pyspark.zip/pyspark/mllib/__init__.py", > line 25, in <module> > ImportError: No module named numpy > at org.apache.spark.api.python.Py > thonRunner$$anon$1.read(PythonRDD.scala:166) > at org.apache.spark.api.python.Py > thonRunner$$anon$1.<init>(PythonRDD.scala:207) > at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125) > at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(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$$failJobAndIndependentStages(DAGScheduler.scala:1431) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) > at scala.Option.foreach(Option.scala:236) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588) > at org.apache.spark.util.EventLoop$$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(NativeMethodAccessorImpl.java:62) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.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/pyspark.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/pyspark.zip/pyspark/serializers.py", > line 422, in loads > return pickle.loads(obj) > File > "/home/clash/sparks/spark-1.6.1-bin-hadoop12/python/lib/pyspark.zip/pyspark/mllib/__init__.py", > line 25, in <module> > ImportError: No module named numpy > at org.apache.spark.api.python.Py > thonRunner$$anon$1.read(PythonRDD.scala:166) > at org.apache.spark.api.python.Py > thonRunner$$anon$1.<init>(PythonRDD.scala:207) > at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125) > at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.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 > > > > > >
