wsry opened a new pull request #18473:
URL: https://github.com/apache/flink/pull/18473
## What is the purpose of the change
In the current sort-shuffle implementation, the maximum number of buffers
can be used per result partition for shuffle data read is 32M. However, for
large parallelism jobs, 32M is not enough and for small parallelism jobs, 32M
may waste buffers. This ticket aims to adjust the maximum number of buffers can
be used per result partition to let it adjust according to parallelism and the
selected value is an empirical one based on the TPC-DS test results.
## Brief change log
- *The TaskInfo is stored in the blob store on job creation time as a
persistent artifact*
## Verifying this change
This change is already covered by existing tests.
## Does this pull request potentially affect one of the following parts:
- Dependencies (does it add or upgrade a dependency): (yes / **no**)
- The public API, i.e., is any changed class annotated with
`@Public(Evolving)`: (yes / **no**)
- The serializers: (yes / **no** / don't know)
- The runtime per-record code paths (performance sensitive): (yes / **no**
/ don't know)
- Anything that affects deployment or recovery: JobManager (and its
components), Checkpointing, Kubernetes/Yarn, ZooKeeper: (yes / **no** / don't
know)
- The S3 file system connector: (yes / **no** / don't know)
## Documentation
- Does this pull request introduce a new feature? (yes / **no**)
- If yes, how is the feature documented? (**not applicable** / docs /
JavaDocs / not documented)
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