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From "Jesus Camacho Rodriguez (Jira)" <j...@apache.org>
Subject [jira] [Updated] (HIVE-22978) Fix decimal precision and scale inference for aggregate rewriting in Calcite
Date Tue, 10 Mar 2020 19:19:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-22978?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jesus Camacho Rodriguez updated HIVE-22978:
-------------------------------------------
    Fix Version/s: 4.0.0
       Resolution: Fixed
           Status: Resolved  (was: Patch Available)

> Fix decimal precision and scale inference for aggregate rewriting in Calcite
> ----------------------------------------------------------------------------
>
>                 Key: HIVE-22978
>                 URL: https://issues.apache.org/jira/browse/HIVE-22978
>             Project: Hive
>          Issue Type: Bug
>          Components: CBO
>            Reporter: Jesus Camacho Rodriguez
>            Assignee: Jesus Camacho Rodriguez
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.0.0
>
>         Attachments: HIVE-22978.01.patch, HIVE-22978.02.patch, HIVE-22978.patch
>
>          Time Spent: 40m
>  Remaining Estimate: 0h
>
> Calcite rules can do rewritings of aggregate functions, e.g., {{avg}} into {{sum/count}}.
When type of {{avg}} is decimal, inference of intermediate precision and scale for the division
is not done correctly. The reason is that we miss support for some types in method {{getDefaultPrecision}}
in {{HiveTypeSystemImpl}}. Additionally, {{deriveSumType}} should be overridden in {{HiveTypeSystemImpl}}
to abide by the Hive semantics for sum aggregate type inference.



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