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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-21823) New metrics to get the average queue length / free executor number for a given time window
Date Wed, 05 Jun 2019 02:52:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-21823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16856280#comment-16856280
] 

Hive QA commented on HIVE-21823:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12970853/HIVE-21823.patch

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

{color:green}SUCCESS:{color} +1 due to 16084 tests passed

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/17422/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/17422/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-17422/

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: 12970853 - PreCommit-HIVE-Build

> New metrics to get the average queue length / free executor number for a given time window
> ------------------------------------------------------------------------------------------
>
>                 Key: HIVE-21823
>                 URL: https://issues.apache.org/jira/browse/HIVE-21823
>             Project: Hive
>          Issue Type: Sub-task
>          Components: llap
>            Reporter: Peter Vary
>            Assignee: Peter Vary
>            Priority: Major
>              Labels: pull-request-available
>         Attachments: HIVE-21823.patch
>
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> We need to calculate the average queue size / free executor size for a window to have
good data for making routing decisions.
> Interesting things to consider:
>  * The timeĀ gap between arriving request can be different, so simple average is not
enough to have correct data
>  * We need to have 2 parameters
>  ** Time window length
>  ** Maximum data point numbers - so we will not collect "infinite" amount of data at
high load



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