twosom opened a new pull request, #33322:
URL: https://github.com/apache/beam/pull/33322

   **Please** add a meaningful description for your change here
   
   fixes #20943
   
   This PR improves the performance of GroupByKey transform in SparkRunner by 
replacing the current implementation that uses Spark's `groupByKey` with 
`combineByKey`. 
   
   The current implementation uses Spark's `groupByKey` which causes all the 
data to be shuffled across the network before grouping. This can lead to 
significant performance overhead and potential OOM issues with large datasets.
   
   By switching to Spark's `combineByKey`, we can:
   - Perform partial combining at the map side before shuffling
   - Reduce the amount of data transferred across the network
   - Improve memory utilization and overall performance
   
   
   ## Before optimized - `6.1GiB` for shuffle
   <img width="1257" alt="스크린샷 2024-12-08 오후 7 42 03" 
src="https://github.com/user-attachments/assets/871f066c-3802-425e-80e1-119edd6d3e19";>
   
   ## After optimized - `1487.7MiB` for shuffle.
   <img width="1250" alt="스크린샷 2024-12-08 오후 9 22 45" 
src="https://github.com/user-attachments/assets/53b5197d-6df4-42bc-9c8a-7494ee8d6b47";>
   
   
   
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