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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2014/11/19 01:56:33 UTC

[jira] [Created] (SPARK-4477) remove numpy from RDDSampler of PySpark

Davies Liu created SPARK-4477:
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             Summary: remove numpy from RDDSampler of PySpark
                 Key: SPARK-4477
                 URL: https://issues.apache.org/jira/browse/SPARK-4477
             Project: Spark
          Issue Type: New Feature
          Components: PySpark
            Reporter: Davies Liu


In RDDSampler, it try use numpy to gain better performance for possion(), but the number of call of random() is only (1+faction) * N in the pure python implementation of possion(), so there is no much performance gain from numpy. 

numpy is not a dependent of pyspark, so it maybe introduce some problem, such as there is no numpy installed in slaves, but only installed master, as reported in xxxx. 

It also complicate the code a lot, so we may should remove numpy from RDDSampler.



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