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https://issues.apache.org/jira/browse/SPARK-12177?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15203662#comment-15203662
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Eugene Miretsky commented on SPARK-12177:
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1) MessageAndMetaData: Was looking at KafkaRDD instead of NewKafkaRDD by
mistake - my bad.
2)Decoder/Serializer: DirectKafkaInputDStreamBase has U <: Decoder[K]:
ClassTag, T <: Decoder[V]: ClassTag type parameters.
- NewDirectKafkaInputDStream ignores the Decoder TypeTags. (The old
DirectKafkaInputDStream passes them to KafkaRDDIterator which then creates
valueDecoder & keyDecoder which are then passed to MessageAndMetaData).
- kafka.serializer.Decoder in part of the old Scala Kafka Consumer, The new
Kafka Java Consumer is using
org.apache.kafka.common.serialization.Deserializer.
Just to make sure we are on the same page - I'm looking at PR 10953. Also may
have missed something.
> 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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