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From "Davies Liu (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-6216) Check Python version in worker before run PySpark job
Date Sun, 08 Mar 2015 21:06:38 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Davies Liu reassigned SPARK-6216:
---------------------------------

    Assignee: Davies Liu

> Check Python version in worker before run PySpark job
> -----------------------------------------------------
>
>                 Key: SPARK-6216
>                 URL: https://issues.apache.org/jira/browse/SPARK-6216
>             Project: Spark
>          Issue Type: Improvement
>            Reporter: Davies Liu
>            Assignee: Davies Liu
>
> PySpark can only run with the same major version both in driver and worker ( both of
the are 2.6 or 2.7), it will cause random error if it have 2.7 in driver or 2.6 in worker
(or vice).
> For example:
> {code}
> davies@localhost:~/work/spark$ PYSPARK_PYTHON=python2.6 PYSPARK_DRIVER_PYTHON=python2.7
bin/pyspark
> Using Python version 2.7.7 (default, Jun  2 2014 12:48:16)
> SparkContext available as sc, SQLContext available as sqlCtx.
> >>> sc.textFile('LICENSE').map(lambda l: l.split()).count()
> org.apache.spark.api.python.PythonException: Traceback (most recent call last):
>   File "/Users/davies/work/spark/python/pyspark/worker.py", line 101, in main
>     process()
>   File "/Users/davies/work/spark/python/pyspark/worker.py", line 96, in process
>     serializer.dump_stream(func(split_index, iterator), outfile)
>   File "/Users/davies/work/spark/python/pyspark/rdd.py", line 2251, in pipeline_func
>     return func(split, prev_func(split, iterator))
>   File "/Users/davies/work/spark/python/pyspark/rdd.py", line 2251, in pipeline_func
>     return func(split, prev_func(split, iterator))
>   File "/Users/davies/work/spark/python/pyspark/rdd.py", line 2251, in pipeline_func
>     return func(split, prev_func(split, iterator))
>   File "/Users/davies/work/spark/python/pyspark/rdd.py", line 281, in func
>     return f(iterator)
>   File "/Users/davies/work/spark/python/pyspark/rdd.py", line 931, in <lambda>
>     return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
>   File "/Users/davies/work/spark/python/pyspark/rdd.py", line 931, in <genexpr>
>     return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
>   File "<stdin>", line 1, in <lambda>
> TypeError: 'bool' object is not callable
> 	at org.apache.spark.api.python.PythonRDD$$anon$1.read(PythonRDD.scala:136)
> 	at org.apache.spark.api.python.PythonRDD$$anon$1.<init>(PythonRDD.scala:177)
> 	at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:95)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:64)
> 	at org.apache.spark.executor.Executor$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)
> {code}



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