Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/477#discussion_r11866824
--- Diff: python/pyspark/rdd.py ---
@@ -381,13 +382,11 @@ def takeSample(self, withReplacement, num, seed):
# If the first sample didn't turn out large enough, keep trying to
take samples;
# this shouldn't happen often because we use a big multiplier for
their initial size.
# See: scala/spark/RDD.scala
+ random.seed(seed)
--- End diff --
Is this the global random object? Library code should not be setting the
seed and then calling randint. Is there no equivalent of java.util.Random that
you can create and use here?
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