wanglijie95 opened a new pull request, #21646: URL: https://github.com/apache/flink/pull/21646
## What is the purpose of the change In the current implementation([FLINK-25035](https://issues.apache.org/jira/browse/FLINK-25035)), when the upstream vertex parallelism is much greater than the downstream vertex parallelism, it may lead to a large number of channels in the downstream tasks(for example, A -> B, all to all edge, max parallelism is 1000. If parallelism of A is 1000, parallelism of B is decided to be 1, then the only subtask of B will consume 1000 * 1000 subpartitions), resulting in a large overhead for processing channels. In this ticket, we temporarily address this issue by limiting the max number of subpartitons consumed by each downstream task. The ultimate solution should be to support single channel consume multiple subpartitons. ## Verifying this change UT ## Does this pull request potentially affect one of the following parts: - Dependencies (does it add or upgrade a dependency): (**no**) - The public API, i.e., is any changed class annotated with `@Public(Evolving)`: (**no**) - The serializers: (**no**) - The runtime per-record code paths (performance sensitive): (**no**) - Anything that affects deployment or recovery: JobManager (and its components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (**no**) - The S3 file system connector: (**no**) ## Documentation - Does this pull request introduce a new feature? (**no**) - If yes, how is the feature documented? (**not applicable**) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
