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https://issues.apache.org/jira/browse/FLINK-31655?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17707102#comment-17707102
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Yun Gao commented on FLINK-31655:
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Hi [~tartarus] thanks for the proposal, it also looks useful from my side.
There are also some discussion about it in the community previously , and some
points are mentioned, like we might not introduce new locks and we might design
carefully about the structure to maintain the active channels to avoid
additional overhead, thus I also think if convenient you may propose a design
doc thus we could first get consensus on the overall design.
Also cc [~pltbkd] , who has also implemented the functionality previously in
the internal version.
> Adaptive Channel selection for partitioner
> ------------------------------------------
>
> Key: FLINK-31655
> URL: https://issues.apache.org/jira/browse/FLINK-31655
> Project: Flink
> Issue Type: Improvement
> Components: Runtime / Task
> Reporter: tartarus
> Assignee: tartarus
> Priority: Major
>
> In Flink, if the upstream and downstream operator parallelism is not the
> same, then by default the RebalancePartitioner will be used to select the
> target channel.
> In our company, users often use flink to access redis, hbase or other rpc
> services, If some of the Operators are slow to return requests (for external
> service reasons), then because Rebalance/Rescale are Round-Robin the Channel
> selection policy, so the job is easy to backpressure.
> Because the Rebalance/Rescale policy does not care which subtask the data is
> sent to downstream, so we expect Rebalance/Rescale to refer to the processing
> power of the downstream subtask when choosing a Channel.
> Send more data to the free subtask, this ensures the best possible throughput
> of job!
>
>
>
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