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https://issues.apache.org/jira/browse/SPARK-9059?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14632476#comment-14632476
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Cody Koeninger commented on SPARK-9059:
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How is this different from SPARK-8390 ?
I thought the idea there was to keep word count simple, and have separate
examples for offsets.
Restarting from specific offsets is a good idea, but requires storage. If we
want to move the examples from my external repo
https://github.com/koeninger/kafka-exactly-once into spark, it would probably
require switching from postgres to an in memory database.
> Update 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
> Labels: starter
>
> Update Scala, Java and 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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