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https://issues.apache.org/jira/browse/FLINK-22840?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-22840:
-----------------------------------
Labels: performance stale-minor (was: performance)
I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help
the community manage its development. I see this issues has been marked as
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is
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> Assign-evenly kafkaTopicPartitions of multiple topics to flinkKafkaConsumer
> subtask
> ------------------------------------------------------------------------------------
>
> Key: FLINK-22840
> URL: https://issues.apache.org/jira/browse/FLINK-22840
> Project: Flink
> Issue Type: Improvement
> Components: Connectors / Kafka
> Affects Versions: 1.11.0
> Reporter: Xu xiaolong
> Priority: Minor
> Labels: performance, stale-minor
> Original Estimate: 12h
> Remaining Estimate: 12h
>
> Now ,with flink1.11 kafka connecotr,when we consume multiple kafka topics by
> one flinkkafkaconsumer , we want to set the consumer parallelism equals with
> the total partitions count of multiple topic , with a decision that each
> topic partition consume by one kafka consumer, so each topic partition count
> is less than the subtask count. But,currently there is one problem , some
> subtask is total free while someothers workload is very high, this cause is
> the partitionAssigner assign partion of earch topic indepently.
> 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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