barunkumaracharya commented on issue #38820:
URL: https://github.com/apache/beam/issues/38820#issuecomment-4634746837

   We are using apache beam for a batch job with spark runner and write around 
300 GB of data in a single partition in Iceberg. There are multiple such 
partitions totally around 600-700 GB write in a job. 
   GroupByKey here would then lead to OOM issues wrt executor memory. Would it 
be a good solve for a production grade beam job ? 


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