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https://issues.apache.org/jira/browse/SPARK-42988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17760829#comment-17760829
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Wujunzhe edited comment on SPARK-42988 at 8/31/23 9:45 AM:
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h3. I have the same question. Here's the question I posed on stackflow [link 
title|[apache spark - Why are spark3 dynamic partitions slow to write to hive - 
Stack 
Overflow|https://stackoverflow.com/questions/76997680/why-are-spark3-dynamic-partitions-slow-to-write-to-hive]]

This is one of my tasks, the code is almost the same adjusted part of the log 
printing, respectively, using {{spark2}} (left) and {{spark3}} run (right), in 
the case of the same parameters, {{spark3}} each job running speed are 
significantly better than {{{}spark3{}}}, but the total running time {{spark3}} 
spent 1.2h, while {{spark2}} only spent 44 min. Why this phenomenon occurs? 
What is this extra time used for?[The top part is the eventTime forspark2 r, 
and the bottom part is for a spark3]

!image-2023-08-31-17-42-31-348.png!


was (Author: JIRAUSER299051):
h3. I have the same question. this is my question that report on stackflow 
[link title|[apache spark - Why are spark3 dynamic partitions slow to write to 
hive - Stack 
Overflow|https://stackoverflow.com/questions/76997680/why-are-spark3-dynamic-partitions-slow-to-write-to-hive]]

This is one of my tasks, the code is almost the same adjusted part of the log 
printing, respectively, using {{spark2}} (left) and {{spark3}} run (right), in 
the case of the same parameters, {{spark3}} each job running speed are 
significantly better than {{{}spark3{}}}, but the total running time {{spark3}} 
spent 1.2h, while {{spark2}} only spent 44 min. Why this phenomenon occurs? 
What is this extra time used for?[The top part is the eventTime forspark2 r, 
and the bottom part is for a spark3]

!image-2023-08-31-17-42-31-348.png!

> Spark Sql  insert into hive table dynamic partitions slow
> ---------------------------------------------------------
>
>                 Key: SPARK-42988
>                 URL: https://issues.apache.org/jira/browse/SPARK-42988
>             Project: Spark
>          Issue Type: Question
>          Components: SQL
>    Affects Versions: 3.3.0
>            Reporter: thomasgx
>            Priority: Major
>         Attachments: image-2023-08-31-17-42-31-348.png
>
>




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