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https://issues.apache.org/jira/browse/HUDI-7111?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jing Zhang updated HUDI-7111:
-----------------------------
    Description: 
After upgrade the version to 0.14.0, the performance of the Spark job, which is 
written into a simple bucket index table, is regressing.
 !image-2023-11-16-23-41-32-729.png! 
The reason is in the [PR#4480|https://github.com/apache/hudi/pull/4480], the 
refactor of bucket index introduce two unnecessary stages in tag for simple 
bucket index.

{code:java}
    List<String> partitions = 
records.map(HoodieRecord::getPartitionPath).distinct().collectAsList();
{code}


  was:
After upgrade the version to 0.14.0, the performance of the Spark job, which is 
written into a simple bucket index table, is regressing.
 !image-2023-11-16-23-41-32-729.png! 
The reason is in the [PR#4480|https://github.com/apache/hudi/pull/4480], the 
refactor of bucket index introduce two unnecessary stages for simple bucket 
index.

{code:java}
    List<String> partitions = 
records.map(HoodieRecord::getPartitionPath).distinct().collectAsList();
{code}



> Performance regression of spark job which written into simple bucket index 
> table
> --------------------------------------------------------------------------------
>
>                 Key: HUDI-7111
>                 URL: https://issues.apache.org/jira/browse/HUDI-7111
>             Project: Apache Hudi
>          Issue Type: Improvement
>          Components: spark
>            Reporter: Jing Zhang
>            Priority: Major
>         Attachments: image-2023-11-16-23-41-32-729.png
>
>
> After upgrade the version to 0.14.0, the performance of the Spark job, which 
> is written into a simple bucket index table, is regressing.
>  !image-2023-11-16-23-41-32-729.png! 
> The reason is in the [PR#4480|https://github.com/apache/hudi/pull/4480], the 
> refactor of bucket index introduce two unnecessary stages in tag for simple 
> bucket index.
> {code:java}
>     List<String> partitions = 
> records.map(HoodieRecord::getPartitionPath).distinct().collectAsList();
> {code}



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