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 <[email protected]> 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 <[email protected]>: > >> 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 >> > >
