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https://issues.apache.org/jira/browse/FLINK-10412?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16626767#comment-16626767
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ASF GitHub Bot commented on FLINK-10412:
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yanghua opened a new pull request #6755: [FLINK-10412] toString field in
AbstractID should be transient to avoid been serialized
URL: https://github.com/apache/flink/pull/6755
## What is the purpose of the change
*This pull request mark toString field in AbstractID as transient to avoid
been serialized *
## Brief change log
- *Mark toString field in AbstractID as transient to avoid been serialized*
## Verifying this change
This change is a trivial rework / code cleanup without any test coverage.
## 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, Yarn/Mesos, 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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> toString field in AbstractID should be transient to avoid been serialized
> -------------------------------------------------------------------------
>
> Key: FLINK-10412
> URL: https://issues.apache.org/jira/browse/FLINK-10412
> Project: Flink
> Issue Type: Bug
> Components: Distributed Coordination
> Affects Versions: 1.7.0
> Reporter: Zhu Zhu
> Assignee: vinoyang
> Priority: Major
> Labels: deploy,deployment, pull-request-available, serialization
>
> The toString field in AbstractID will be serialized currently, which makes
> RPC messages body like InputChannelDeploymentDescriptor and PartitionInfo
> larger (50%+).
> It adds more pressure to JM memory especially in large scale job scheduling
> (10000x10000 ALL-to-ALL connection).
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