Is it possible that you have Python 2.7 on the driver, but Python 2.6
on the workers?.
PySpark requires that you have the same minor version of Python in
both driver and worker. In PySpark 1.4+, it will do this check before
run any tasks.
On Mon, Aug 10, 2015 at 2:53 PM, YaoPau <jonrgr...@gmail.com> wrote:
> I'm running Spark 1.3 on CDH 5.4.4, and trying to set up Spark to run via
> iPython Notebook. I'm getting collect() to work just fine, but take()
> errors. (I'm having issues with collect() on other datasets ... but take()
> seems to break every time I run it.)
>
> My code is below. Any thoughts?
>
>>> sc
> <pyspark.context.SparkContext at 0x7ffbfa310f10>
>>> sys.version
> '2.7.10 |Anaconda 2.3.0 (64-bit)| (default, May 28 2015, 17:02:03) \n[GCC
> 4.4.7 20120313 (Red Hat 4.4.7-1)]'
>>> hourly = sc.textFile('tester')
>>> hourly.collect()
> [u'a man',
> u'a plan',
> u'a canal',
> u'panama']
>>> hourly = sc.textFile('tester')
>>> hourly.take(2)
> ---------------------------------------------------------------------------
> Py4JJavaError Traceback (most recent call last)
> <ipython-input-15-1feecba5868b> in <module>()
> 1 hourly = sc.textFile('tester')
> ----> 2 hourly.take(2)
>
> /opt/cloudera/parcels/CDH/lib/spark/python/pyspark/rdd.py in take(self, num)
> 1223
> 1224 p = range(partsScanned, min(partsScanned +
> numPartsToTry, totalParts))
> -> 1225 res = self.context.runJob(self, takeUpToNumLeft, p,
> True)
> 1226
> 1227 items += res
>
> /opt/cloudera/parcels/CDH/lib/spark/python/pyspark/context.py in
> runJob(self, rdd, partitionFunc, partitions, allowLocal)
> 841 # SparkContext#runJob.
> 842 mappedRDD = rdd.mapPartitions(partitionFunc)
> --> 843 it = self._jvm.PythonRDD.runJob(self._jsc.sc(),
> mappedRDD._jrdd, javaPartitions, allowLocal)
> 844 return list(mappedRDD._collect_iterator_through_file(it))
> 845
>
> /opt/cloudera/parcels/CDH/lib/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:
>
> /opt/cloudera/parcels/CDH/lib/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 10.0 failed 4 times, most recent failure: Lost task 0.3 in stage
> 10.0 (TID 47, dhd490101.autotrader.com):
> org.apache.spark.api.python.PythonException: Traceback (most recent call
> last):
> File
> "/opt/cloudera/parcels/CDH-5.4.4-1.cdh5.4.4.p894.568/jars/spark-assembly-1.3.0-cdh5.4.4-hadoop2.6.0-cdh5.4.4.jar/pyspark/worker.py",
> line 101, in main
> process()
> File
> "/opt/cloudera/parcels/CDH-5.4.4-1.cdh5.4.4.p894.568/jars/spark-assembly-1.3.0-cdh5.4.4-hadoop2.6.0-cdh5.4.4.jar/pyspark/worker.py",
> line 96, in process
> serializer.dump_stream(func(split_index, iterator), outfile)
> File
> "/opt/cloudera/parcels/CDH-5.4.4-1.cdh5.4.4.p894.568/jars/spark-assembly-1.3.0-cdh5.4.4-hadoop2.6.0-cdh5.4.4.jar/pyspark/serializers.py",
> line 236, in dump_stream
> vs = list(itertools.islice(iterator, batch))
> File "/opt/cloudera/parcels/CDH/lib/spark/python/pyspark/rdd.py", line
> 1220, in takeUpToNumLeft
> while taken < left:
> ImportError: No module named iter
>
> at
> org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:135)
> at
> org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:176)
> at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:94)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:64)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
>
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1203)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1191)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1191)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/collect-works-take-returns-ImportError-No-module-named-iter-tp24199.html
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