[jira] [Work logged] (HIVE-26320) Incorrect case evaluation for Parquet based table

Tue, 27 Sep 2022 16:47:06 -0700 


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https://issues.apache.org/jira/browse/HIVE-26320?focusedWorklogId=812693&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-812693
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ASF GitHub Bot logged work on HIVE-26320:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 27/Sep/22 23:46
            Start Date: 27/Sep/22 23:46
    Worklog Time Spent: 10m 
      Work Description: sonarcloud[bot] commented on PR #3628:
URL: https://github.com/apache/hive/pull/3628#issuecomment-1260187363

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 812693)
    Time Spent: 50m  (was: 40m)

> Incorrect case evaluation for Parquet based table
> -------------------------------------------------
>
>                 Key: HIVE-26320
>                 URL: https://issues.apache.org/jira/browse/HIVE-26320
>             Project: Hive
>          Issue Type: Bug
>          Components: HiveServer2, Query Planning
>    Affects Versions: 4.0.0-alpha-1
>            Reporter: Chiran Ravani
>            Assignee: John Sherman
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> Query involving case statement with two or more conditions leads to incorrect 
> result for tables with parquet format, The problem is not observed with ORC 
> or TextFile.
> *Steps to reproduce*:
> {code:java}
> create external table case_test_parquet(kob varchar(2),enhanced_type_code 
> int) stored as parquet;
> insert into case_test_parquet values('BB',18),('BC',18),('AB',18);
> select case when (
>                    (kob='BB' and enhanced_type_code='18')
>                    or (kob='BC' and enhanced_type_code='18')
>                  )
>             then 1
>             else 0
>         end as logic_check
> from case_test_parquet;
> {code}
> Result:
> {code}
> 0
> 0
> 0
> {code}
> Expected result:
> {code}
> 1
> 1
> 0
> {code}
> The problem does not appear when setting hive.optimize.point.lookup=false.



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