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https://issues.apache.org/jira/browse/SPARK-6282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-6282.
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Resolution: Not A Problem
Seems like some issue with Python libraries
> Strange Python import error when using random() in a lambda function
> --------------------------------------------------------------------
>
> Key: SPARK-6282
> URL: https://issues.apache.org/jira/browse/SPARK-6282
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.2.0
> Environment: Kubuntu 14.04, Python 2.7.6
> Reporter: Pavel Laskov
> Priority: Minor
>
> Consider the exemplary Python code below:
> from random import random
> from pyspark.context import SparkContext
> from xval_mllib import read_csv_file_as_list
> if __name__ == "__main__":
> sc = SparkContext(appName="Random() bug test")
> data = sc.parallelize(read_csv_file_as_list('data/malfease-xp.csv'))
> #data = sc.parallelize([1, 2, 3, 4, 5], 2)
> d = data.map(lambda x: (random(), x))
> print d.first()
> Data is read from a large CSV file. Running this code results in a Python
> import error:
> ImportError: No module named _winreg
> If I use 'import random' and 'random.random()' in the lambda function no
> error occurs. Also no error occurs, for both kinds of import statements, for
> a small artificial data set like the one shown in a commented line.
> The full error trace, the source code of csv reading code (function
> 'read_csv_file_as_list' is my own) as well as a sample dataset (the original
> dataset is about 8M large) can be provided.
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