Re: collect() works, take() returns ImportError: No module named iter
In case anyone runs into this issue in the future, we got it working: the following variable must be set on the edge node: export PYSPARK_PYTHON=/your/path/to/whatever/python/you/want/to/run/bin/python I didn't realize that variable gets passed to every worker node. All I saw when searching for this issue was documentation for an older version of Spark which mentions using SPARK_YARN_USER_ENV to set PYSPARK_PYTHON within spark-env.sh, which didn't work for us on Spark 1.3. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/collect-works-take-returns-ImportError-No-module-named-iter-tp24199p24234.html Sent from the Apache Spark User List mailing list archive at Nabble.com. - To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
Re: collect() works, take() returns ImportError: No module named iter
There is was a similar problem reported before on this list. Weird python errors like this generally mean you have different versions of python in the nodes of your cluster. Can you check that? From error stack you use 2.7.10 |Anaconda 2.3.0 while OS/CDH version of Python is probably 2.6. -- Ruslan Dautkhanov On Mon, Aug 10, 2015 at 3:53 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
Re: collect() works, take() returns ImportError: No module named iter
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
Re: collect() works, take() returns ImportError: No module named iter
We did have 2.7 on the driver, 2.6 on the edge nodes and figured that was the issue, so we've tried many combinations since then with all three of 2.6.6, 2.7.5, and Anaconda's 2.7.10 on each node with different PATHs and PYTHONPATHs each time. Every combination has produced the same error. We came across a comment on the User board saying Since you're using YARN, you may also need to set SPARK_YARN_USER_ENV to PYSPARK_PYTHON=/your/desired/python/on/slave/nodes. ... I couldn't find SPARK_YARN_USER_ENV in the Spark 1.3 docs but we tried that as well and couldn't get it working. We're open to trying or re-trying any other ideas. On Mon, Aug 10, 2015 at 6:25 PM, Ruslan Dautkhanov dautkha...@gmail.com wrote: There is was a similar problem reported before on this list. Weird python errors like this generally mean you have different versions of python in the nodes of your cluster. Can you check that? From error stack you use 2.7.10 |Anaconda 2.3.0 while OS/CDH version of Python is probably 2.6. -- Ruslan Dautkhanov On Mon, Aug 10, 2015 at 3:53 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)