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Posted to commits@hudi.apache.org by "ad1happy2go (via GitHub)" <gi...@apache.org> on 2023/04/10 11:43:37 UTC

[GitHub] [hudi] ad1happy2go commented on issue #8417: [SUPPORT] Get partitioner from workloadFile in tagging job only get a parallelism equal to involved partition's number

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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