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Posted to dev@zeppelin.apache.org by "Paulo Haddad (JIRA)" <ji...@apache.org> on 2015/09/18 20:31:04 UTC
[jira] [Created] (ZEPPELIN-314) pyspark is not responding for
Python 3
Paulo Haddad created ZEPPELIN-314:
-------------------------------------
Summary: pyspark is not responding for Python 3
Key: ZEPPELIN-314
URL: https://issues.apache.org/jira/browse/ZEPPELIN-314
Project: Zeppelin
Issue Type: Bug
Environment: Ubuntu 15.04
from apt: OpenJDK 1.8.0_45, Maven 3.3.3, Python 3.4.3
built from site files: Scala 2.11.7, Spark 1.5.0, Zeppelin 0.5.0 from git (commit a731b815e12a)
Reporter: Paulo Haddad
Looking for how to use python3, I found this post [1]. I tried setting those env variables in .bashrc and zeppelin-env.sh as
{quote}
export PYSPARK_PYTHON="python3"
export PYSPARK_DRIVER_PYTHON="ipython3"
{quote}
When I run ./bin/pyspark I get
{quote}
paulo_filho@spark:~$ $SPARK_HOME/bin/pyspark
Python 3.4.3 (default, Mar 26 2015, 22:03:40)
Type "copyright", "credits" or "license" for more information.
IPython 4.0.0 -- An enhanced Interactive Python.
...
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 1.5.0
/_/
Using Python version 3.4.3 (default, Mar 26 2015 22:03:40)
{quote}
but Zeppelin didn't work. Instead, I got the error below:
{{%pyspark}}
{{import sys}}
{{print(sys.version_info)}}
{quote}
sys.version_info(major=2, minor=7, micro=9, releaselevel='final', serial=0)
{quote}
{{%pyspark}}
{{bankText = sc.textFile("/home/paulo_filho/data/bank.csv")}}
{{print(bankText.take(2))}}
{quote}
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 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/local/spark-1.5.0-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/worker.py", line 64, in main
("%d.%d" % sys.version_info[:2], version))
Exception: Python in worker has different version 3.4 than that in driver 2.7, PySpark cannot run with different minor versions
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:138)
at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:179)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:97)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1280)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1813)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1826)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1839)
at org.apache.spark.api.python.PythonRDD$.runJob(PythonRDD.scala:361)
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:497)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
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:207)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.spark.api.python.PythonException: Traceback (most recent call last):
File "/usr/local/spark-1.5.0-bin-hadoop2.6/python/lib/pyspark.zip/pyspark/worker.py", line 64, in main
("%d.%d" % sys.version_info[:2], version))
Exception: Python in worker has different version 3.4 than that in driver 2.7, PySpark cannot run with different minor versions
at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:138)
at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:179)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:97)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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=o53), <traceback object at 0x7f814b4596c8>)
{quote}
I noticed that in Zeppelin's "Interpreter" section there's a config
{{zeppelin.pyspark.python python}}
When I change it to python3, I get
{{%pyspark}}
{{print(list(range(10)))}}
{quote}
pyspark is not responding
{quote}
I don't know what to do.
Thanks!
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