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https://issues.apache.org/jira/browse/FLINK-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16285816#comment-16285816
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Konstantin Lalafaryan commented on FLINK-7913:
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- Kafka uses round-robin partitioner
- flink uses parallel instance id to decide the target partition. So let's say
you have 12 kafka partitions and only two flink partitions in this case only
two kafka partitions will be used. You can check the logic here:
org.apache.flink.streaming.connectors.kafka.partitioner.FixedPartitioner
> Add support for Kafka default partitioner
> -----------------------------------------
>
> Key: FLINK-7913
> URL: https://issues.apache.org/jira/browse/FLINK-7913
> Project: Flink
> Issue Type: Improvement
> Components: Kafka Connector
> Affects Versions: 1.4.0
> Reporter: Konstantin Lalafaryan
> Assignee: Konstantin Lalafaryan
> Fix For: 1.5.0
>
>
> Currently in the Apache Flink it is available only *FlinkKafkaPartitioner*
> and just one implementation *FlinkFixedPartitioner*.
> In order to be able to use Kafka's default partitioner you have to create new
> implementation for *FlinkKafkaPartitioner* and fork the code from the Kafka.
> It will be really good to be able to define the partitioner without
> implementing the new class.
> Thanks.
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