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https://issues.apache.org/jira/browse/SPARK-12178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15058121#comment-15058121
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Rodrigo Boavida commented on SPARK-12178:
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I plan onto to make my akka direct stream implementation open sourced - but
this would be absolutely necessary to have it complete.
I heard there is someone working on a flume based implementation of direct
stream and I'm sure other streaming engines will follow soon.
Is there something I could do to push this forward? I don't mind being the one
doing the change.
Tnks,
Rod
> Expose reporting of StreamInputInfo for custom made streams
> -----------------------------------------------------------
>
> Key: SPARK-12178
> URL: https://issues.apache.org/jira/browse/SPARK-12178
> Project: Spark
> Issue Type: Improvement
> Components: Streaming
> Reporter: Rodrigo Boavida
> Priority: Minor
>
> For custom made direct streams, the Spark Streaming context needs to be
> informed of the RDD count per batch execution. This is not exposed by the
> InputDStream abstract class.
> The suggestion is to create a method in the InputDStream class that reports
> to the streaming context and make that available to child classes of
> InputDStream.
> Signature example:
> def reportInfo(validTime : org.apache.spark.streaming.Time, inputInfo :
> org.apache.spark.streaming.scheduler.StreamInputInfo)
> I have already done this on my own private branch. I can merge that change in
> if approval is given.
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