[ https://issues.apache.org/jira/browse/SPARK-6216?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-6216: ----------------------------- Fix Version/s: (was: 1.4.0) > 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} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org