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https://issues.apache.org/jira/browse/FLINK-22837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17355459#comment-17355459
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Xu xiaolong commented on FLINK-22837:
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sorry for my poor network and me a new bird, this issue is reported
repeatedly. please refrence issue FLINK-22840
> Assign-evenly kafkaTopicPartitions of multiple topics to flinkKafkaConsumer
> subtask
> ------------------------------------------------------------------------------------
>
> Key: FLINK-22837
> URL: https://issues.apache.org/jira/browse/FLINK-22837
> Project: Flink
> Issue Type: Improvement
> Components: Connectors / Kafka
> Affects Versions: 1.11.0
> Reporter: Xu xiaolong
> Priority: Major
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> Now ,with flink1.11 kafka connecotr,when we consume multiple kafka topics by
> one flinkkafkaconsumer , when we set the consumer parallelism equals with the
> total partitions count of multiple topic , make a decision each topic
> partition consume by one kafka consumer, so each topic partition count is
> less than the subtask count. But,the problem is that currently, some subtask
> is total free while someothers workload is very high, this problem is caused
> by that the partitionAssigner assign partion of earch topic indepently
> currently.
> Following is one example:
> Target topics: topi1, topic2 ,topic3 ,topic4. each has 3 partitions.
> In our job we consume the 4 topic by one consumer , our flink standalone
> cluster got 9 taskworkers on different nodes. we want balance the workload as
> much as possible, so we
> set the paralelism of flinkkafkaconsumer to 12. from the UI we notice that
> the 0-5 subtask is free without partition assigned, the total 12 partiton is
> assigned to 6-11 subtask. We learned the source code of
> KafkaTopicPartitionAssigner and extend one more partition assign strategy
> that can deal with the need we describe up, this stategy can evenly assign
> partiton from multiple topic grobally to subtask of consumer.
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