fhan688 commented on PR #18897:
URL: https://github.com/apache/hudi/pull/18897#issuecomment-4622997140

   > > This makes the routing side and bucket-loading side use the same remote 
assignment source, instead of maintaining separate local assignment 
calculations.
   > 
   > The motive for remote partitioner is to resolve data skew since it has the 
global view of assignment, does the change in this PR also addreses the 
similiar issue?
   
   Yes. This PR brings the same remote bucket-to-task assignment mechanism to 
the Flink bucket index path. The remote partitioner keeps the 
partition-to-start-offset mapping centrally in the timeline service, so 
assignment is based on the global sequence of partition bucket ranges instead 
of independent local hash-based calculations.
   
   To be precise, this helps with assignment-level skew across partition 
buckets. It does not rebalance record-volume skew inside a hot bucket. In this 
PR, both the Flink routing path and the bucket-loading path use the same remote 
assignment source, so they get the same skew-mitigation behavior and remain 
consistent.


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