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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:20:13 UTC
[jira] [Updated] (SPARK-12178) Expose reporting of StreamInputInfo
for custom made streams
[ https://issues.apache.org/jira/browse/SPARK-12178?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-12178:
---------------------------------
Labels: bulk-closed (was: )
> 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: DStreams
> Reporter: Rodrigo Boavida
> Priority: Minor
> Labels: bulk-closed
>
> 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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