0lai0 opened a new pull request, #4068:
URL: https://github.com/apache/datafusion-comet/pull/4068

   ## Which issue does this PR close?
   
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   Closes #1212 
   Part of #3996 
   
   ## Rationale for this change
   
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    Why are you proposing this change? If this is already explained clearly in 
the issue then this section is not needed.
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   Comet already reports encoding/compression metrics for native shuffle, but 
JVM columnar shuffle (CometColumnarExchange) either showed 0 ms or lacked a 
useful task-level distribution in SQL UI. This made it difficult to compare 
shuffle behavior across spark.comet.shuffle.mode=native and jvm, and reduced 
observability for JVM shuffle performance tuning.
   
   ## What changes are included in this PR?
   
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   - Aligned the JVM/native shuffle spill contract so encode/compression timing 
is propagated end-to-end: native spill results are consumed as (written_bytes, 
checksum, encode_nanos), with corresponding JNI/Java updates.
   
   - Added shared AtomicLong encode-time accumulators in SpillWriter, 
CometShuffleExternalSorterSync/Async, and CometDiskBlockWriter so encode time 
is aggregated correctly across batches, spills, and concurrent sorter/writer 
instances.
   
   - Added getEncodeNanos() to CometShuffleExternalSorter and wired the 
accumulated value into the encode_time SQLMetric in both 
CometUnsafeShuffleWriter and CometBypassMergeSortShuffleWriter.
   
   - Ensured JVM columnar shuffle dependencies carry shuffleWriteMetrics, 
allowing CometShuffleManager to retrieve and pass encode_time into the shuffle 
writers.
   
   - Added a regression test to verify encode_time exists and is greater than 
zero for columnar shuffle workloads.
   
     
   ## How are these changes tested?
   
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   <img width="433" height="705" alt="Screenshot 2026-04-24 at 11 42 26 PM" 
src="https://github.com/user-attachments/assets/879aa231-ad4e-4caf-9b02-6c153ba58d9d";
 />


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