[GitHub] spark pull request: [SPARK-3292][streaming]Fix:Shuffle Tasks run i...

[tdas <gi...@git.apache.org>]

Github user tdas commented on the pull request:

    https://github.com/apache/spark/pull/2192#issuecomment-57539843
  
    This is not a good idea. Not returning an RDD can mess up a lot of the logic and semantics. For example if there is a transform() followed by updateStateByKey(), the result will be unpredictable. updateStateByKey expects the previous batch to have a state RDD. If it does not find any state RDD it will assume that this the start of the streamign computation and effectively initialize again, forgetting the previous states from 2 batches ago. So this change is incorrect. 


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