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https://issues.apache.org/jira/browse/FLINK-4722?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15542855#comment-15542855
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Tzu-Li (Gordon) Tai commented on FLINK-4722:
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I'm not sure if I fully understand your use case, but you could consider this
solution:
Use a single FlinkKafkaConsumer to read the topic, and key the input elements
by the partition id (you can do this by supplying your own
{{KeyedDeserializationSchema}} to the consumer). Then, on the keyed stream, you
can perform windows on each key (i.e., in your case, each matrix) like you
mentioned.
> Consumer group concept not working properly with FlinkKafkaConsumer09
> -----------------------------------------------------------------------
>
> Key: FLINK-4722
> URL: https://issues.apache.org/jira/browse/FLINK-4722
> Project: Flink
> Issue Type: Bug
> Components: Kafka Connector
> Affects Versions: 1.1.2
> Reporter: Sudhanshu Sekhar Lenka
>
> When Kafka one Topic has 3 partition and 3 FlinkKafkaConsumer09 connected to
> that same topic using "group.id" ,"myGroup" property . Still flink consumer
> get all data which are push to each 3 partition . While it work properly
> with normal java consumer. each consumer get specific data.
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