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From "Cody Koeninger (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-9059) Update Python Direct Kafka Word count examples to show the use of HasOffsetRanges
Date Wed, 09 Dec 2015 16:35:11 GMT

    [ https://issues.apache.org/jira/browse/SPARK-9059?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15048938#comment-15048938
] 

Cody Koeninger commented on SPARK-9059:
---------------------------------------

To be clear, I think SPARK-8389 should make it possible to write an equivalent python snippet,
there's just not one in the docs.  jerryshao would know better.

> Update Python Direct Kafka Word count examples to show the use of HasOffsetRanges
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-9059
>                 URL: https://issues.apache.org/jira/browse/SPARK-9059
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Streaming
>            Reporter: Tathagata Das
>            Priority: Minor
>              Labels: starter
>
> Update Python examples of Direct Kafka word count to access the offset ranges using HasOffsetRanges
and print it. For example in Scala,
>  
> {code}
> var offsetRanges: Array[OffsetRange] = _
> ...
> directKafkaDStream.foreachRDD { rdd => 
>     offsetRanges = rdd.asInstanceOf[HasOffsetRanges]  
> }
> ...
> transformedDStream.foreachRDD { rdd => 
>     // some operation
>     println("Processed ranges: " + offsetRanges)
> }
> {code}
> See https://spark.apache.org/docs/latest/streaming-kafka-integration.html for more info,
and the master source code for more updated information on python. 



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