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