Github user andrewor14 commented on the pull request:

    https://github.com/apache/spark/pull/3638#issuecomment-69278693
  
    @mccheah @JoshRosen high level question. So what happens now when a task is 
not serializable? Before it would throw a loud exception and fail the task, but 
now we catch the task not serializable exception and silently not schedule it. 
I may be missing something, but do we ever abort the stage or fail the task?


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