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https://issues.apache.org/jira/browse/SPARK-12177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15075230#comment-15075230
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Mario Briggs edited comment on SPARK-12177 at 12/30/15 5:24 PM:
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you could also get just a few of the records you want i.e. not all in 1 shot. 
So a gist below

override def getNext(): R = {
      if (iter == null || !iter.hasNext) {
        iter = consumer.poll(pollTime).iterator()
      }

      if (!iter.hasNext) {
        if ( requestOffset < part.untilOffset ) {

           // need to make another poll() and recheck above. So make a 
recursive call i.e. 'return getnext()' here ?

        }
        finished = true
        null.asInstanceOf[R]
      } else {
       ...


was (Author: mariobriggs):
you could also get just a few of the records you want i.e. not all in 1 shot

override def getNext(): R = {
      if (iter == null || !iter.hasNext) {
        iter = consumer.poll(pollTime).iterator()
      }

      if (!iter.hasNext) {
        if ( requestOffset < part.untilOffset ) {
           // need to make another poll() and recheck above. So make a 
recursive call i.e. 'return getnext()' here ?
        }
        finished = true
        null.asInstanceOf[R]
      } else {
       ...

> Update KafkaDStreams to new Kafka 0.9 Consumer API
> --------------------------------------------------
>
>                 Key: SPARK-12177
>                 URL: https://issues.apache.org/jira/browse/SPARK-12177
>             Project: Spark
>          Issue Type: Improvement
>          Components: Streaming
>    Affects Versions: 1.6.0
>            Reporter: Nikita Tarasenko
>              Labels: consumer, kafka
>
> Kafka 0.9 already released and it introduce new consumer API that not 
> compatible with old one. So, I added new consumer api. I made separate 
> classes in package org.apache.spark.streaming.kafka.v09 with changed API. I 
> didn't remove old classes for more backward compatibility. User will not need 
> to change his old spark applications when he uprgade to new Spark version.
> Please rewiew my changes



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