ad1happy2go commented on issue #8417:
URL: https://github.com/apache/hudi/issues/8417#issuecomment-1501724443

   @xuzifu666
   This should be expected as spark will create those many tasks only for that 
stage depending upon number of partitions in the source data frame. 
   To improve performance you can try repartition of the new DataSource 
dataframe before doing the upsert.
   
   


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