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https://issues.apache.org/jira/browse/HIVE-22495?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17423250#comment-17423250
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katty he commented on HIVE-22495:
---------------------------------

hi, i'am also meet the same situation, so how did you solve?

> Parquet count(*) read in all data
> ---------------------------------
>
>                 Key: HIVE-22495
>                 URL: https://issues.apache.org/jira/browse/HIVE-22495
>             Project: Hive
>          Issue Type: Bug
>          Components: Reader
>            Reporter: Jason Xu
>            Assignee: Jason Xu
>            Priority: Major
>         Attachments: HIVE-22495.patch, HIVE-22495.patch
>
>
> Running a hive query on a Parquet table
> select count ( * ) from test_table
> The query read in all data (all columns) instead of just metadata.
> For comparison, hive 0.13 and Spark read in much less data with my test table.
>  
> ||engine||HDFS data read||
> |Hive 2.3.4|          452.9 MB|
> |Hive 0.13|            22.5 KB|
> |Spark|            41.6 KB|
>  
> Seems cause is that Parquet read support fall back to file schema if 
> indexColumnsWanted is empty, logic still exist in master branch.
> Don't know why this empty list check was added, please suggest if there're 
> any other impact.
>  
>  
>  



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