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https://issues.apache.org/jira/browse/HIVE-21823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16865110#comment-16865110
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Hive QA commented on HIVE-21823:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12971790/HIVE-21823.7.patch
{color:red}ERROR:{color} -1 due to build exiting with an error
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/17599/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/17599/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-17599/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Tests exited with: Exception: Patch URL
https://issues.apache.org/jira/secure/attachment/12971790/HIVE-21823.7.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: 12971790 - 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-21823.2.patch, HIVE-21823.3.patch,
> HIVE-21823.4.patch, HIVE-21823.5.patch, HIVE-21823.6.patch,
> HIVE-21823.7.patch, HIVE-21823.patch
>
> Time Spent: 2h 40m
> 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 time 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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