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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-8397) Approximated cardinality with HyperLogLog UDAF
Date Mon, 20 Oct 2014 06:02:33 GMT

    [ https://issues.apache.org/jira/browse/HIVE-8397?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14176621#comment-14176621
] 

Hive QA commented on HIVE-8397:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12675768/HIVE-8397.2.patch.txt

{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 6566 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_show_functions
{noformat}

Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/1345/testReport
Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/1345/console
Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-1345/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 1 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12675768
 - PreCommit-HIVE-TRUNK-Build

> Approximated cardinality with HyperLogLog UDAF
> ----------------------------------------------
>
>                 Key: HIVE-8397
>                 URL: https://issues.apache.org/jira/browse/HIVE-8397
>             Project: Hive
>          Issue Type: Improvement
>          Components: UDF
>            Reporter: Navis
>            Assignee: Navis
>            Priority: Trivial
>         Attachments: HIVE-8397.1.patch.txt, HIVE-8397.2.patch.txt
>
>
> Useful sometimes for quick estimation of bulk data. 
> {noformat}
> select hll(key), hll(value) from src;
> {noformat}
> Also can be used with hive.fetch.task.aggr=true;



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