zhoulii opened a new issue, #7783:
URL: https://github.com/apache/paimon/issues/7783

   ### Search before asking
   
   - [x] I searched in the [issues](https://github.com/apache/paimon/issues) 
and found nothing similar.
   
   
   ### Motivation
   
    When users configure custom resources (e.g., SINK_WRITER_CPU, 
SINK_WRITER_MEMORY) for sink operators via FlinkSink#configureSlotSharingGroup, 
the current implementation creates a dedicated SlotSharingGroup for the 
operator. This breaks operator chaining — even if the upstream source and the 
writer are connected by a forward edge, they cannot be chained together because 
Flink requires chained operators to belong to the same slot sharing group. As a 
result, data that should be forwarded locally is forced through the network 
stack, introducing unnecessary serialization/deserialization overhead and extra 
     thread cost.
   
   <img width="980" height="261" alt="Image" 
src="https://github.com/user-attachments/assets/e00f5e22-f07d-4abd-a1a5-d3a5860ac51d";
 />
   
   ### Solution
   
   Replace SlotSharingGroup with ResourceSpec for per-operator resource 
declaration. Instead of operator.slotSharingGroup(slotSharingGroup), use 
operator.getTransformation().setResources(resourceSpec, resourceSpec). 
ResourceSpec declares resource requirements at the operator level without 
altering the slot
     sharing group assignment, so the writer operators remain in the default 
slot sharing group and can still be chained with upstream operators. The Flink 
scheduler will aggregate the ResourceSpec of all operators within a chain to 
determine the total slot resource requirement.
   
   ### Anything else?
   
   _No response_
   
   ### Are you willing to submit a PR?
   
   - [x] I'm willing to submit a PR!


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