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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/04/08 01:28:13 UTC
[jira] [Commented] (SPARK-6216) Check Python version in worker
before run PySpark job
[ https://issues.apache.org/jira/browse/SPARK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14484327#comment-14484327 ]
Apache Spark commented on SPARK-6216:
-------------------------------------
User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/5404
> 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
> Components: PySpark
> 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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