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 >>> >> >> >
