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From "WangMeng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-11880) filter bug of UNION ALL when hive.ppd.remove.duplicatefilters=true and filter condition is type incompatible column
Date Mon, 28 Sep 2015 12:28:04 GMT

     [ https://issues.apache.org/jira/browse/HIVE-11880?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

WangMeng updated HIVE-11880:
----------------------------
    Attachment: HIVE-11880.04.patch

> filter bug  of UNION ALL when hive.ppd.remove.duplicatefilters=true and filter condition
is type incompatible column 
> ---------------------------------------------------------------------------------------------------------------------
>
>                 Key: HIVE-11880
>                 URL: https://issues.apache.org/jira/browse/HIVE-11880
>             Project: Hive
>          Issue Type: Bug
>          Components: Logical Optimizer
>    Affects Versions: 1.2.1
>            Reporter: WangMeng
>            Assignee: WangMeng
>         Attachments: HIVE-11880.01.patch, HIVE-11880.02.patch, HIVE-11880.03.patch, HIVE-11880.04.patch
>
>
>    For UNION ALL , when an union operator is constant column (such as '0L', BIGINT Type)
 and its corresponding column has incompatible type (such as INT type). 
>   Query with filter condition on type incompatible column on this UNION ALL  will cause
IndexOutOfBoundsException.
>  Such as TPC-H table "orders",in  the following query:
>  Type of 'orders'.'o_custkey' is INT normally,  while  the type of corresponding constant
column  "0" is BIGINT( `0L AS `o_custkey` ). 
>  This query (with filter "type incompatible column 'o_custkey' ")  will fail  with  java.lang.IndexOutOfBoundsException
: 
> {code}
> SELECT Count(1)
> FROM   (
>               SELECT `o_orderkey` ,
>                      `o_custkey`
>               FROM   `orders`
>               UNION ALL
>               SELECT `o_orderkey`,
>                      0L  AS `o_custkey`
>               FROM   `orders`) `oo`
> WHERE  o_custkey<100000 limit 4 ;
> {code}
> When 
> {code}
> set hive.ppd.remove.duplicatefilters=true
> {code}



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