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. 


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to