Zakelly opened a new pull request, #25949:
URL: https://github.com/apache/flink/pull/25949

   ## What is the purpose of the change
   
   Currently, there is a limit for in-flight records in async state processing. 
However, we allow developers to initialize a new processing in-middle of 
another. These derived processings are treated as normal ones for timers or 
upstreaming records, which is problematic:
   
   - The new derived processing may increase the number of in-flight requests 
and cause force draining when it reaches the limit. But the draining may 
require the current processing also finish. This is a deadlock.
   - The derived processing will queue behind normal processing, which is not 
the behavior the user wants. The derived ones should be fired right after the 
current processing or ASAP.
   
   Thus, This PR changes the behavior in `AsyncExecutionController` and its 
related buffer:
   
   - Avoid drain when creating derived processing.
   - Provide priority for the queuing processing and make derived one have 
greater priority.
   
   ## Brief change log
   
    - Add an additional condition to skip the drain when inserting new record 
to `AEC`'s buffer.
    - Add priority to `RecordContext` and consider it when queue in blocking 
queue.
   
   ## Verifying this change
   
   This change added tests and can be verified by 
`AbstractAsyncStateStreamOperatorTest#testManyAsyncProcessWithKey`
   
   ## 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): yes
     - 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
   


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