lucene-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Shawn Heisey (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-1972) Need additional query stats in admin interface - median, 95th and 99th percentile
Date Fri, 26 Oct 2012 23:35:13 GMT

    [ https://issues.apache.org/jira/browse/SOLR-1972?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13485280#comment-13485280
] 

Shawn Heisey commented on SOLR-1972:
------------------------------------

I ran into some trouble with tests failing, so I checked out a fresh branch_4x, applied this
patch, and tried running solr tests.  There are major explosions.  I'll be attaching the full
putty log for review.  It appears that the first exception is an out of memory error:

[junit4:junit4]   2> 7800 T177 ccr.RandomizedRunner$QueueUncaughtExceptionsHandler.uncaughtException
WARNING Uncaught exception in thread: Thread[metrics-meter-tick-thread-1,5,TGRP-TestRandomFaceting]
java.lang.OutOfMemoryError: unable to create new native thread
[junit4:junit4]   2>    at __randomizedtesting.SeedInfo.seed([2191B18B87EDCD66]:0)
[junit4:junit4]   2>    at java.lang.Thread.start0(Native Method)
[junit4:junit4]   2>    at java.lang.Thread.start(Thread.java:691)
[junit4:junit4]   2>    at java.util.concurrent.ThreadPoolExecutor.addWorker(ThreadPoolExecutor.java:943)
[junit4:junit4]   2>    at java.util.concurrent.ThreadPoolExecutor.processWorkerExit(ThreadPoolExecutor.java:992)
[junit4:junit4]   2>    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
[junit4:junit4]   2>    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
[junit4:junit4]   2>    at java.lang.Thread.run(Thread.java:722)
[junit4:junit4]   2>

If I edit out the MetricsRegistry and go back to creating the objects directly from Metrics
and using this.toString() as the scope, the tests all pass.

The Metrics documentation talks about MetricsRegistry as being something you create on a per-application
basis.  That suggests that it's a very heavy object, and even a barebones Solr install probably
has at least a dozen requestHandlers defined.  I don't know how many are defined in the JVMs
used for testing.

On my test branch_4x installation, I see 29 handlers between QUERYHANDLER and UPDATEHANDLER
in the stats visible in the gui, and that's just on one core.  I've got 16 cores defined.

                
> Need additional query stats in admin interface - median, 95th and 99th percentile
> ---------------------------------------------------------------------------------
>
>                 Key: SOLR-1972
>                 URL: https://issues.apache.org/jira/browse/SOLR-1972
>             Project: Solr
>          Issue Type: Improvement
>          Components: web gui
>    Affects Versions: 1.4
>            Reporter: Shawn Heisey
>            Assignee: Alan Woodward
>            Priority: Minor
>             Fix For: 4.1
>
>         Attachments: elyograg-1972-3.2.patch, elyograg-1972-3.2.patch, elyograg-1972-trunk.patch,
elyograg-1972-trunk.patch, SOLR-1972-branch3x-url_pattern.patch, SOLR-1972-branch4x.patch,
SOLR-1972-branch4x.patch, SOLR-1972_metrics.patch, SOLR-1972_metrics.patch, SOLR-1972_metrics.patch,
SOLR-1972_metrics.patch, SOLR-1972_metrics.patch, SOLR-1972_metrics.patch, SOLR-1972.patch,
SOLR-1972.patch, SOLR-1972.patch, SOLR-1972.patch, SOLR-1972-url_pattern.patch
>
>
> I would like to see more detailed query statistics from the admin GUI.  This is what
you can get now:
> requests : 809
> errors : 0
> timeouts : 0
> totalTime : 70053
> avgTimePerRequest : 86.59209
> avgRequestsPerSecond : 0.8148785 
> I'd like to see more data on the time per request - median, 95th percentile, 99th percentile,
and any other statistical function that makes sense to include.  In my environment, the first
bunch of queries after startup tend to take several seconds each.  I find that the average
value tends to be useless until it has several thousand queries under its belt and the caches
are thoroughly warmed.  The statistical functions I have mentioned would quickly eliminate
the influence of those initial slow queries.
> The system will have to store individual data about each query.  I don't know if this
is something Solr does already.  It would be nice to have a configurable count of how many
of the most recent data points are kept, to control the amount of memory the feature uses.
 The default value could be something like 1024 or 4096.

--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscribe@lucene.apache.org
For additional commands, e-mail: dev-help@lucene.apache.org


Mime
View raw message