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https://issues.apache.org/jira/browse/HIVE-21270?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16770791#comment-16770791
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Hive QA commented on HIVE-21270:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12959043/HIVE-21270.7.patch

{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.

{color:green}SUCCESS:{color} +1 due to 15801 tests passed

Test results: 
https://builds.apache.org/job/PreCommit-HIVE-Build/16120/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/16120/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-16120/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12959043 - PreCommit-HIVE-Build

> A UDTF to show schema (column names and types) of given query
> -------------------------------------------------------------
>
>                 Key: HIVE-21270
>                 URL: https://issues.apache.org/jira/browse/HIVE-21270
>             Project: Hive
>          Issue Type: New Feature
>          Components: UDF
>    Affects Versions: 4.0.0
>            Reporter: Shubham Chaurasia
>            Assignee: Shubham Chaurasia
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: HIVE-21270.1.patch, HIVE-21270.2.patch, 
> HIVE-21270.3.patch, HIVE-21270.4.patch, HIVE-21270.5.patch, 
> HIVE-21270.6.patch, HIVE-21270.7.patch
>
>          Time Spent: 1h
>  Remaining Estimate: 0h
>
> We can get ResultSet metadata using \{{ResultSet#getMetaData()}} but JDBC 
> provides no way of getting nested data types(of columns) associated with it. 
> This UDTF helps to retrieve each column name and it's data type.



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