Oh, yeah. I have two versions of Python running on UCLA's cluster. One is Python 2.7.6 and one is Python 3.4. Do I need to specify the version of Python in Spark's environment by setting "PYSPARK_PYTHON" ? Or I need to remove one Python version?
Thanks Mingda On Thu, Feb 2, 2017 at 5:29 PM, Jeff Zhang <zjf...@gmail.com> wrote: > 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.PythonRunner$$anon$1.read( >> PythonRDD.scala:166) >> at org.apache.spark.api.python.PythonRunner$$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.PythonRunner$$anon$1.read( >> PythonRDD.scala:166) >> at org.apache.spark.api.python.PythonRunner$$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 >> >> >> >> >> >>
