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https://issues.apache.org/jira/browse/TAJO-691?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13943862#comment-13943862
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Tajo QA commented on TAJO-691:
------------------------------
{color:red}*-1 overall.*{color} Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12636085/TAJO-691.patch
against master revision 7283c58.
{color:green}+1 @author.{color} The patch does not contain any @author
tags.
{color:green}+1 tests included.{color} The patch appears to include 6 new
or modified test files.
{color:green}+1 javac.{color} The applied patch does not increase the
total number of javac compiler warnings.
{color:green}+1 javadoc.{color} The applied patch does not increase the
total number of javadoc warnings.
{color:green}+1 checkstyle.{color} The patch generated 0 code style errors.
{color:red}-1 findbugs.{color} The patch appears to introduce 183 new
Findbugs (version 1.3.9) warnings.
{color:green}+1 release audit.{color} The applied patch does not increase
the total number of release audit warnings.
{color:green}+1 core tests.{color} The patch passed unit tests in
tajo-core/tajo-core-backend tajo-rpc tajo-storage.
Test results:
https://builds.apache.org/job/PreCommit-TAJO-Build/245//testReport/
Findbugs warnings:
https://builds.apache.org/job/PreCommit-TAJO-Build/245//artifact/incubator-tajo/patchprocess/newPatchFindbugsWarningstajo-core-backend.html
Console output: https://builds.apache.org/job/PreCommit-TAJO-Build/245//console
This message is automatically generated.
> HashJoin or HashAggregation is too slow if there is many unique keys
> --------------------------------------------------------------------
>
> Key: TAJO-691
> URL: https://issues.apache.org/jira/browse/TAJO-691
> Project: Tajo
> Issue Type: Improvement
> Reporter: hyoungjunkim
> Assignee: hyoungjunkim
> Attachments: TAJO-691.patch
>
>
> HashJoin or HashAggregation is too slow if there is many unique keys.
> Java's native Map is inefficient to handle many items. In case more than 1
> million items in HashMap, Adding 10000 items takes more than 7 ~ 10 seconds.
>
> This should be improved.
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