Manishnemade12 opened a new pull request, #27969:
URL: https://github.com/apache/flink/pull/27969

   ## What is the purpose of the change
   
   This pull request fixes severe disk space and file descriptor leaks in 
`ChangelogStreamHandleReaderWithCache` that occur during filesystem or network 
errors. 
   
   Previously, if a network cluster error disrupted DFS stream copying in 
`downloadToCacheFile`, the partially transferred temporary cache file was 
permanently left on disk, eventually causing disk full crashes on TaskManagers. 
Furthermore, if `openAndSeek` threw an `IOException` during channel 
positioning, the instantiated `FileInputStream` was leaked without being 
closed, exhausting OS file handles.
   
   ## Brief change log
   
     - Explicitly invoke `file.delete()` on the target temporary block when 
`IOException` is encountered during DFS buffer copying in `downloadToCacheFile`.
     - Wrap the `fin.getChannel().position(offset)` inside a `try-catch` block 
under `openAndSeek` which guarantees `IOUtils.closeQuietly(fin)` is triggered 
if positioning fails, preventing unclosed file streams.
   
   ## Verifying this change
   
   This change is already covered by existing tests, such as standard Changelog 
State Backend recovery tests that implicitly test file system operations and 
DFS stream caching logic.
   
   ## 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 (Improves 
resilience of Checkpointing recovery on TaskManagers)
     - 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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