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https://issues.apache.org/jira/browse/SPARK-4817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14241001#comment-14241001
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Sean Owen commented on SPARK-4817:
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I'm not sure if this is what you're looking for, but you can always call
{{foreachRDD}}, and operate on all of the RDD, and then call {{take}} on the
RDD to get a few elements to print.
Your PR reimplements the same thing less efficiently.
But this is not what your example above does. Neither prints the "top"
elements. Did you mean "first"?
> [streaming]Print the specified number of data and handle all of the elements
> in RDD
> -----------------------------------------------------------------------------------
>
> Key: SPARK-4817
> URL: https://issues.apache.org/jira/browse/SPARK-4817
> Project: Spark
> Issue Type: New Feature
> Components: Streaming
> Reporter: 宿荣全
> Priority: Minor
>
> Dstream.print function:Print 10 elements and handle 11 elements.
> A new function based on Dstream.print function is presented:
> the new function:
> Print the specified number of data and handle all of the elements in RDD.
> there is a work scene:
> val dstream = stream.map->filter->mapPartitions->print
> the data after filter need update database in mapPartitions,but don't need
> print each data,only need to print the top 20 for view the data processing.
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