Github user akopich commented on the pull request:
https://github.com/apache/spark/pull/1269#issuecomment-67664969
By the way. May be it's off top, but this is related to initial
approximation generation.
Suppose, one has `indxs : RDD[Int]` and is about to create an RDD of random
ints `rnd : RDD[Int]` s.t. `rnd.count == indxs.count`. The obvious way leads to
smth as follows
```
val random = new java.util.Random()
val rnd = indx.map(random.nextInt)
```
But `random` object is going to be serialized and workers will recieve
`random` with the same seed, thus this solution produces sequences of the
same ints.
What's a proper way?
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