vinothchandar commented on pull request #4880:
URL: https://github.com/apache/hudi/pull/4880#issuecomment-1083567097


   @guanziyue That's a solid approach, treating everything as upserts. 
   
   In general, for Spark (with micro-batching), the ordering/precombining gets 
rid of this scenario and you don't end up with a missed insert. But when you go 
directly into a log, streaming mode, then the merge needs to factor in the 
ordering time. 


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