[
https://issues.apache.org/jira/browse/SPARK-11509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Andrew Davidson reopened SPARK-11509:
-------------------------------------
My issue is not resolved
I am able to use ipython notebooks on my local mac but still can not run them
in/on my cluster.
I have tried launching the same way I do on my mac
export PYSPARK_PYTHON=python2.7
export PYSPARK_DRIVER_PYTHON=python2.7
IPYTHON_OPTS="notebook --no-browser --port=7000" $SPARK_ROOT/bin/pyspark
I also tried setting
export PYSPARK_PYTHON=python2.7
in /root/spark/conf/spark-env.sh on all my machines
The following code example
from pyspark import SparkContext
sc = SparkContext("local", "Simple App") # strange we should not have to create
sc
textFile = sc.textFile("file:///home/ec2-user/dataScience/readme.md")
textFile.take(3)
generates the following error msg
Py4JJavaError Traceback (most recent call last)
<ipython-input-1-e0006b323300> in <module>()
2 sc = SparkContext("local", "Simple App")
3 textFile = sc.textFile("file:///home/ec2-user/dataScience/readme.md")
----> 4 textFile.take(3)
/root/spark/python/pyspark/rdd.py in take(self, num)
1297
1298 p = range(partsScanned, min(partsScanned + numPartsToTry,
totalParts))
-> 1299 res = self.context.runJob(self, takeUpToNumLeft, p)
1300
1301 items += res
/root/spark/python/pyspark/context.py in runJob(self, rdd, partitionFunc,
partitions, allowLocal)
914 # SparkContext#runJob.
915 mappedRDD = rdd.mapPartitions(partitionFunc)
--> 916 port = self._jvm.PythonRDD.runJob(self._jsc.sc(),
mappedRDD._jrdd, partitions)
917 return list(_load_from_socket(port,
mappedRDD._jrdd_deserializer))
918
/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py in
__call__(self, *args)
536 answer = self.gateway_client.send_command(command)
537 return_value = get_return_value(answer, self.gateway_client,
--> 538 self.target_id, self.name)
539
540 for temp_arg in temp_args:
/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py in
get_return_value(answer, gateway_client, target_id, name)
298 raise Py4JJavaError(
299 'An error occurred while calling {0}{1}{2}.\n'.
--> 300 format(target_id, '.', name), value)
301 else:
302 raise Py4JError(
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 "/root/spark/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 2.7 than that in driver 2.6,
PySpark cannot run with different minor versions
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
at
org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$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$$failJobAndIndependentStages(DAGScheduler.scala:1283)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1822)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1835)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1848)
at org.apache.spark.api.python.PythonRDD$.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: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 "/root/spark/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 2.7 than that in driver 2.6,
PySpark cannot run with different minor versions
at
org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
at
org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:88)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
... 1 more
Any suggestions?
Kind regards
Andy
> ipython notebooks do not work on clusters created using
> spark-1.5.1-bin-hadoop2.6/ec2/spark-ec2 script
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-11509
> URL: https://issues.apache.org/jira/browse/SPARK-11509
> Project: Spark
> Issue Type: Bug
> Components: Documentation, EC2, PySpark
> Affects Versions: 1.5.1
> Environment: AWS cluster
> [ec2-user@ip-172-31-29-60 ~]$ uname -a
> Linux ip-172-31-29-60.us-west-1.compute.internal 3.4.37-40.44.amzn1.x86_64 #1
> SMP Thu Mar 21 01:17:08 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux
> Reporter: Andrew Davidson
>
> I recently downloaded spark-1.5.1-bin-hadoop2.6 to my local mac.
> I used spark-1.5.1-bin-hadoop2.6/ec2/spark-ec2 to create an aws cluster. I am
> able to run the java SparkPi example on the cluster how ever I am not able to
> run ipython notebooks on the cluster. (I connect using ssh tunnel)
> According to the 1.5.1 getting started doc
> http://spark.apache.org/docs/latest/programming-guide.html#using-the-shell
> The following should work
> PYSPARK_DRIVER_PYTHON=ipython PYSPARK_DRIVER_PYTHON_OPTS="notebook
> --no-browser --port=7000" /root/spark/bin/pyspark
> I am able to connect to the notebook server and start a notebook how ever
> bug 1) the default sparkContext does not exist
> from pyspark import SparkContext
> textFile = sc.textFile("file:///home/ec2-user/dataScience/readme.md")
> textFile.take(3
> ---------------------------------------------------------------------------
> NameError Traceback (most recent call last)
> <ipython-input-1-127b6a58d5cc> in <module>()
> 1 from pyspark import SparkContext
> ----> 2 textFile = sc.textFile("file:///home/ec2-user/dataScience/readme.md")
> 3 textFile.take(3)
> NameError: name 'sc' is not defined
> bug 2)
> If I create a SparkContext I get the following python versions miss match
> error
> sc = SparkContext("local", "Simple App")
> textFile = sc.textFile("file:///home/ec2-user/dataScience/readme.md")
> textFile.take(3)
> File "/root/spark/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 2.7 than that in driver
> 2.6, PySpark cannot run with different minor versions
> I am able to run ipython notebooks on my local Mac as follows. (by default
> you would get an error that the driver and works are using different version
> of python)
> $ cat ~/bin/pySparkNotebook.sh
> #!/bin/sh
> set -x # turn debugging on
> #set +x # turn debugging off
> export PYSPARK_PYTHON=python3
> export PYSPARK_DRIVER_PYTHON=python3
> IPYTHON_OPTS=notebook $SPARK_ROOT/bin/pyspark $*$
> I have spent a lot of time trying to debug the pyspark script however I can
> not figure out what the problem is
> Please let me know if there is something I can do to help
> Andy
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