barakbaron12 opened a new pull request, #27334:
URL: https://github.com/apache/flink/pull/27334

   ## What is the purpose of the change
   
   This PR fixes a bug where `pipeline.jobvertex-parallelism-overrides` 
configuration was completely ignored when running jobs in Application Mode with 
Flink 2.0+. This broke the Flink Kubernetes Operator's autoscaler functionality.
   
   ## Brief change log
   
   - Created `ParallelismOverrideUtil` to centralize override application logic
   - Modified all scheduler factories (DefaultScheduler, AdaptiveScheduler, 
AdaptiveBatchScheduler) to apply overrides after StreamGraph→JobGraph conversion
   - Removed duplicate override logic from Dispatcher.java
   - Ensured correct configuration precedence: job config > job master config
   
   ## Verifying this change
   
   This change added tests and can be verified as follows:
   
   - Added 7 unit tests in `ParallelismOverrideUtilTest` covering all override 
scenarios
   - Added 4 integration tests in `ParallelismOverridesITCase` verifying 
end-to-end behavior across different scheduler types
   - Modified existing integration tests in `AdaptiveBatchSchedulerITCase` and 
`AdaptiveSchedulerITCase` to include parallelism override tests
   
   ## 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: yes (JobManager 
scheduler factories)
   - 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


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