[jira] [Updated] (SPARK-17606) New batches are not created when there are 1000 created after restarting streaming from checkpoint.

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-17606:
---------------------------------
    Labels: bulk-closed  (was: )

> New batches are not created when there are 1000 created after restarting streaming from checkpoint.
> ---------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-17606
>                 URL: https://issues.apache.org/jira/browse/SPARK-17606
>             Project: Spark
>          Issue Type: Bug
>          Components: DStreams
>    Affects Versions: 1.6.1
>            Reporter: etienne
>            Priority: Major
>              Labels: bulk-closed
>
> When spark restarts from a checkpoint after being down for a while.
> It recreates missing batch since the down time.
> When there are few missing batches, spark creates new incoming batch every batchTime, but when there is enough missing time to create 1000 batches no new batch is created.
> So when all these batch are completed the stream is idle ...
> I think there is a rigid limit set somewhere.
> I was expecting that spark continue to recreate missed batches, maybe not all at once ( because it's look like it's cause driver memory problem ), and then recreate batches each batchTime.
> Another solution would be to not create missing batches but still restart the direct input.
> Right know for me the only solution to restart a stream after a long break it to remove the checkpoint to allow the creation of a new stream. But losing all my states.
> ps : I'm speaking about direct Kafka input because it's the source I'm currently using, I don't know what happens with other sources.



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