Please try to install numpy
Best Regard, Jeff Zhang From: mingda li <limingda1...@gmail.com<mailto:limingda1...@gmail.com>> Reply-To: "users@zeppelin.apache.org<mailto:users@zeppelin.apache.org>" <users@zeppelin.apache.org<mailto:users@zeppelin.apache.org>> Date: Friday, February 3, 2017 at 6:03 AM To: "users@zeppelin.apache.org<mailto:users@zeppelin.apache.org>" <users@zeppelin.apache.org<mailto: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<mailto: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<http://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$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org<http://org.apache.spark.scheduler.DAGScheduler.org>$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<mailto: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<mailto: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
