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https://issues.apache.org/jira/browse/FLINK-22839?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17355458#comment-17355458
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Xu xiaolong edited comment on FLINK-22839 at 6/2/21, 2:42 AM:
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sorry for my poor network and me a new bird, this issue is reported
repeatedly. please reference issue FLINK-22840
was (Author: xiaolongsy2008):
sorry for my poor network and me a new bird, this issue is reported repeatedly.
> Assign-evenly kafkaTopicPartitions of multiple topics to flinkKafkaConsumer
> subtask
> ------------------------------------------------------------------------------------
>
> Key: FLINK-22839
> URL: https://issues.apache.org/jira/browse/FLINK-22839
> 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 to explain
> this phenomenon ,and then we extend one more partition assign strategy which
> can deal with the need we describe up, this stategy can evenly assign
> partiton from multiple topic grobally to subtask of consumer. we want to
> contibute to flink, so someone has the same requirement can use it directlly.
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