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https://issues.apache.org/jira/browse/HIVE-18705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16545105#comment-16545105
 ] 

Hive QA commented on HIVE-18705:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12931756/HIVE-18705.11.patch

{color:red}ERROR:{color} -1 due to build exiting with an error

Test results: 
https://builds.apache.org/job/PreCommit-HIVE-Build/12634/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12634/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12634/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Tests exited with: Exception: Patch URL 
https://issues.apache.org/jira/secure/attachment/12931756/HIVE-18705.11.patch 
was found in seen patch url's cache and a test was probably run already on it. 
Aborting...
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12931756 - PreCommit-HIVE-Build

> Improve HiveMetaStoreClient.dropDatabase
> ----------------------------------------
>
>                 Key: HIVE-18705
>                 URL: https://issues.apache.org/jira/browse/HIVE-18705
>             Project: Hive
>          Issue Type: Improvement
>            Reporter: Adam Szita
>            Assignee: Adam Szita
>            Priority: Major
>         Attachments: HIVE-18705.0.patch, HIVE-18705.1.patch, 
> HIVE-18705.10.patch, HIVE-18705.11.patch, HIVE-18705.2.patch, 
> HIVE-18705.4.patch, HIVE-18705.5.patch, HIVE-18705.6.patch, 
> HIVE-18705.7.patch, HIVE-18705.8.patch, HIVE-18705.9.patch
>
>
> {{HiveMetaStoreClient.dropDatabase}} has a strange implementation to ensure 
> dealing with client side hooks (for non-native tables e.g. HBase). Currently 
> it starts by retrieving all the tables from HMS, and then sends {{dropTable}} 
> calls to HMS table-by-table. At the end a {{dropDatabase}} just to be sure :) 
> I believe this could be refactored so that it speeds up the dropDB in 
> situations where the average table count per DB is very high.



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