Thanks Eric

Correctly said!!
Initially we used to have a different settings for queryResultCache which
used to serve the purpose of serving queries from the cache.

<queryResultCache class="solr.LRUCache" size="512" initialSize="512"
autowarmCount="256"/>

But we changed the settings some days back to see if there were any
issues/improvements.
I believe we need to switch back to some similar settings after some of
analysis.

Also, removing <optimize> showed good results on local environment, I think
we will deploy the same on production.

Thanks guys for your help. Will keep posting further queries and findings on
the issue.

Dipti

On Fri, Jan 22, 2010 at 9:05 PM, Erick Erickson <erickerick...@gmail.com>wrote:

> Take a look at the Wiki, here's a bit to start...
>
> http://lucene.apache.org/solr/features.html
>
> <http://lucene.apache.org/solr/features.html>The short form is that when
> an
> index is first opened,
> there are various caches that are initialized. The
> first few queries that run against a new searcher
> are slowed down by filling up these caches. Warmup
> queries can be fired that'll pre-populate these caches
> in the background. You have to configure this, and
> only *after* the warmup queries have run does
> SOLR switch over to the newly-opened searchers.
>
> I suspect that what you're seeing is that the first few
> queries after you update your index are paying this
> penalty....
>
> HTH
> Erick
>
> On Fri, Jan 22, 2010 at 12:30 AM, dipti khullar <dipti.khul...@gmail.com
> >wrote:
>
> > Hi
> >
> > Eric, thanks for your reply.
> > I am not sure what exactly you mean by warmup queries. But if its related
> > to
> > the settings we are using in solrconfig.xml, following are the
> > configurations for query caching:
> >
> > <queryResultCache class="solr.LRUCache" size="512" initialSize="512"
> > autowarmCount="0"/>
> >
> > Also, as we are using snapinstall script on slaves, which eventually
> calls
> > commit script. I was just wondering that whether, we need to change the
> > simple commit command to
> >
> > <commit waitFlush="false" waitSearcher="false"/>
> >
> > Otis, we executed a performance test on our local environments for Solr
> 1.4
> > but there were not considerable performance improvement. Hence, we have
> as
> > of now dropped the idea of upgrading to Solr 1.4.
> > Regarding optimization, we initially were not using optimize at all, but
> > then at peak hours load on slaves increased considerably. Hence, we
> > configured the optimize script to get the system running.
> > But we can try this on local environment and then analyze the results.
> >
> > Thanks
> > Dipti
> >
> >
> > On Fri, Jan 22, 2010 at 10:36 AM, Otis Gospodnetic <
> > otis_gospodne...@yahoo.com> wrote:
> >
> > > Dipti,
> > >
> > > If I'm reading that correctly, you are optimizing the index on the
> master
> > > before replicating it?
> > > There is no need to do that if you are constantly updating your index
> and
> > > replicating it every 10 minutes.
> > > Don't optimize, and you'll replicate smaller portion of an index, and
> > thus
> > > you won't bust the OS cache on the slave as much.
> > > The upgrade to Solr 1.4 and you'll see further benefits from faster
> > > searcher warmup times.
> > >
> > >  Otis
> > > --
> > > Sematext -- http://sematext.com/ -- Solr - Lucene - Nutch
> > >
> > >
> > >
> > > ----- Original Message ----
> > > > From: dipti khullar <dipti.khul...@gmail.com>
> > > > To: solr-user@lucene.apache.org
> > > > Sent: Thu, January 21, 2010 11:48:20 AM
> > > > Subject: Re: Improvising solr queries
> > > >
> > > > Hi
> > > >
> > > > Sorry for getting back late on the thread, but we are focusing on
> > > > configuration of master and slave for improving performance issues.
> > > >
> > > > We have observed following trend on production slaves:
> > > > After every 10 minutes the response time increases considerably. In
> > > between
> > > > all the queries are served by cache.
> > > > It seems, after every 10th minute installation and then commit takes
> > time
> > > > and hence results in slow response time.
> > > >
> > > > Following are the logs taken for a complete cycle for master/slave
> sync
> > > up
> > > > process:
> > > >
> > > > 2010/01/21 14:28:02 started by solr
> > > > 2010/01/21 14:28:02 command:
> > > /opt/solr/solr_master/solr/solr/bin/snapshooter
> > > > 2010/01/21 14:28:02 taking snapshot
> > > > /opt/solr/solr_master/solr/data/snapshot.20100121142802
> > > > 2010/01/21 14:28:02 ended (elapsed time: 0 sec)
> > > > 2010/01/21 14:28:01 started by solr
> > > > 2010/01/21 14:28:01 command:
> > /opt/solr/solr_master/solr/solr/bin/optimize
> > > > 2010/01/21 14:28:02 ended (elapsed time: 1 sec)
> > > > 2010/01/21 14:30:02 started by solr
> > > > 2010/01/21 14:30:02 command:
> > > /opt/solr/solr_slave/solr/solr/bin/snappuller
> > > > 2010/01/21 14:30:06 pulling snapshot snapshot.20100121142802
> > > > 2010/01/21 14:30:14 ended (elapsed time: 12 sec)
> > > > 2010/01/21 14:30:14 started by solr
> > > > 2010/01/21 14:30:14 command:
> > > > /opt/solr/solr_slave/solr/solr/bin/snapinstaller
> > > > 2010/01/21 14:30:15 installing snapshot
> > > > /opt/solr/solr_slave/solr/data/snapshot.20100121142802
> > > > 2010/01/21 14:30:16 notifing Solr to open a new Searcher
> > > > 2010/01/21 14:30:17 ended (elapsed time: 3 sec)
> > > > 2010/01/21 14:30:17 started by solr
> > > > 2010/01/21 14:30:17 command:
> /opt/solr/solr_slave/solr/solr/bin/commit
> > > > 2010/01/21 14:30:17 ended (elapsed time: 0 sec)
> > > >
> > > > Response Time at 14:30:24 on:
> > > > Slave 1 - 243
> > > > Slave 2 - 111266
> > > >
> > > > Are we missing on some configuration. Or perhaps the frequency of
> > > execution
> > > > of scripts needs to be changed?
> > > > Any pointers will be helpful !!
> > > >
> > > > Thanks
> > > > Dipti
> > > >
> > > >
> > > > On Tue, Jan 5, 2010 at 1:16 PM, Shalin Shekhar Mangar <
> > > > shalinman...@gmail.com> wrote:
> > > >
> > > > > On Tue, Jan 5, 2010 at 11:16 AM, dipti khullar
> > > > > >wrote:
> > > > >
> > > > > >
> > > > > > This assettype is variable. It can have around 6 values at a
> time.
> > > > > > But this is true that we apply facet mostly on just one field -
> > > > > assettype.
> > > > > >
> > > > > >
> > > > > Ian has a good point. You are faceting on assettype and you are
> also
> > > > > filtering on it so you will get only one facet value "Gallery" with
> a
> > > count
> > > > > equal to numFound.
> > > > >
> > > > >
> > > > > > Any idea if the use of date range queries is expensive? Also if
> > > Shalin
> > > > > can
> > > > > > put in some comments on
> > > > > > "sorting by date was pretty rough on CPU", I can start analyzing
> > sort
> > > by
> > > > > > date specific queries.
> > > > > >
> > > > > >
> > > > > This is a range search and not a sort. I don't know if range search
> > on
> > > > > dates
> > > > > is especially costly compared to a range search on any other type.
> > But
> > > I do
> > > > > know that trie fields in Solr 1.4 are much faster for range
> searches
> > at
> > > the
> > > > > cost of more tokens in the index.
> > > > >
> > > > > With a date field, instead of using NOW, you should always try to
> > round
> > > it
> > > > > down to the coarsest interval you can use. So if it is possible to
> > use
> > > > > NOW/DAY instead of NOW, you should do that. The problem with
> querying
> > > on
> > > > > NOW
> > > > > is that it is always unique and therefore the query can never be
> > cached
> > > > > (actually, it is cached but can never be hit). If you use NOW/DAY,
> > the
> > > > > query
> > > > > can be cached for a day.
> > > > >
> > > > > --
> > > > > Regards,
> > > > > Shalin Shekhar Mangar.
> > > > >
> > >
> > >
> >
>

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