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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