noorall opened a new pull request, #26210:
URL: https://github.com/apache/flink/pull/26210
## What is the purpose of the change
When a Flink job contains a Rescale edge converted from Hash, the
pre-determined parallelism limits the flexibility of parallelism derivation for
Pointwise-type inputs. This consequently leads to a high likelihood of needing
to use the adjustToClosestLegalParallelism method in this scenario to adjust
the parallelism to meet expectations. This adjustment incurs a significant time
complexity (O(log n * n * n), specific to this scenario), so we need to
optimize the parallelism decision logic for Pointwise to enhance performance in
this case.
## Brief change log
Optimize the parallelism decide logic for pointwise.
## 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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