f the search
> index from memory to disk by OS.
>
> Does Solr automatically loads search index into memory after the index is
> built? Otherwise, is there any tool or command that can accomplish this
> task.
>
> Regards
>
>
>
>
> --
> View this message in conte
index is
built? Otherwise, is there any tool or command that can accomplish this
task.
Regards
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aking too long (70 ms)to
> process?
>
> Thanks
>
>
>
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aking too long (70 ms)to
process?
Thanks
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Test_results_round_2.doc
<http://lucene.472066.n3.nabble.com/file/n4215016/Test_results_round_2.doc>
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quest
> scenario, the performance will be in a much better shape with all the cache
> and warming setting during a load test scenario.
>
> Thanks,
>
>
>
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Hmmm, indeed it does. Never mind ;)
I guess the thing I'd be looking at is garbage
collection, here's a very good writeup:
http://lucidworks.com/blog/garbage-collection-bootcamp-1-0/
Kind of a shot in the dark, but it's possible.
Good luck!
Erick
On Thu, Jun 25, 2015 at 3:26 PM, Wenbin Wang wro
Hi Guys,
I have no problem changing it to 2. However, we are talking about two
different applications.
The Solr 4.7 has two applications: example and example-DIH. The application
example-DIH is the one I started with since it works with database.
The example-DIH has the default setting to 4.
Re
On 6/25/2015 10:27 AM, Wenbin Wang wrote:
> To clarify the work:
>
> We are very early in the investigative phase, and the indexing is NOT done
> continuously.
>
> I indexed the data once through Admin UI, and test the query. If I need to
> index again, I can use curl or through the Admin UI.
>
> T
aches.
> >>
> >> Your autowarming numbers in filterCache and queryResultCache are, on the
> >> face of it, far too large.
> >>
> >> Best,
> >> Erick
> >>
> >> On Thu, Jun 25, 2015 at 8:12 AM, wwang525 wrote:
> >> > schema.xml <
> http://lucene.472066.n3.nabble.com/file/n4213864/schema.xml>
> >> > solrconfig.xml
> >> > <http://lucene.472066.n3.nabble.com/file/n4213864/solrconfig.xml>
> >> >
> >> >
> >> >
> >> > --
> >> > View this message in context:
> >>
> http://lucene.472066.n3.nabble.com/How-to-do-a-Data-sharding-for-data-in-a-database-table-tp4212765p4213864.html
> >> > Sent from the Solr - User mailing list archive at Nabble.com.
> >>
>
terCache and queryResultCache are, on the
>> face of it, far too large.
>>
>> Best,
>> Erick
>>
>> On Thu, Jun 25, 2015 at 8:12 AM, wwang525 wrote:
>> > schema.xml <http://lucene.472066.n3.nabble.com/file/n4213864/schema.xml>
>> > solrconfig.xml
>> > <http://lucene.472066.n3.nabble.com/file/n4213864/solrconfig.xml>
>> >
>> >
>> >
>> > --
>> > View this message in context:
>> http://lucene.472066.n3.nabble.com/How-to-do-a-Data-sharding-for-data-in-a-database-table-tp4212765p4213864.html
>> > Sent from the Solr - User mailing list archive at Nabble.com.
>>
;http://lucene.472066.n3.nabble.com/file/n4213864/solrconfig.xml>
> >
> >
> >
> > --
> > View this message in context:
> http://lucene.472066.n3.nabble.com/How-to-do-a-Data-sharding-for-data-in-a-database-table-tp4212765p4213864.html
> > Sent from the Solr - User mailing list archive at Nabble.com.
>
ene.472066.n3.nabble.com/file/n4213864/solrconfig.xml>
>
>
>
> --
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> Sent from the Solr - User mailing list archive at Nabble.com.
schema.xml <http://lucene.472066.n3.nabble.com/file/n4213864/schema.xml>
solrconfig.xml
<http://lucene.472066.n3.nabble.com/file/n4213864/solrconfig.xml>
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at business need. Previously, I was testing the
> data size of 6 M and no faceted search, the typical response time at single
> request scenario was around 200 ms.
>
> Please let me know if additional information is needed.
>
> Thanks
>
>
>
> --
> View this message in contex
t single
request scenario was around 200 ms.
Please let me know if additional information is needed.
Thanks
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@lucene.apache.org
Subject: RE: How to do a Data sharding for data in a database table
Also, since you are tuning for relative times, you can tune on the smaller
index. Surely, you will want to test at scale. But tuning query, analyzer
or schema options is usually easier to do on a smaller index. If you
-user@lucene.apache.org
Subject: Re: How to do a Data sharding for data in a database table
Do be aware that turning on &debug=query adds a load. I've seen the debug
component take 90% of the query time. (to be fair it usually takes a much
smaller percentage).
But you'll see a sectio
ms while the grouping queries take 60-80ms in a test
>> environment (< 1M docs).
>> >
>> > This is ok for us, since we wrote our app to take the grouping queries
>> out of the critical path (async query in parallel with two primary queries
>> and some work in middle ti
ork for
> most cases.
> >
> > -----Original Message-
> > From: Reitzel, Charles [mailto:charles.reit...@tiaa-cref.org]
> > Sent: Friday, June 19, 2015 9:52 AM
> > To: solr-user@lucene.apache.org
> > Subject: RE: How to do a Data sharding for data in a database
orting steps, but
> which? Sometime the schema details matter for performance. Folks on this
> list can help with that.
>
> -Charlie
>
> -Original Message-----
> From: Wenbin Wang [mailto:wwang...@gmail.com]
> Sent: Friday, June 19, 2015 7:55 AM
> To: solr-u
ang [mailto:wwang...@gmail.com]
Sent: Friday, June 19, 2015 7:55 AM
To: solr-user@lucene.apache.org
Subject: Re: How to do a Data sharding for data in a database table
I have enough RAM (30G) and Hard disk (1000G). It is not I/O bound or computer
disk bound. In addition, the Solr was started w
]
Sent: Friday, June 19, 2015 7:55 AM
To: solr-user@lucene.apache.org
Subject: Re: How to do a Data sharding for data in a database table
I have enough RAM (30G) and Hard disk (1000G). It is not I/O bound or computer
disk bound. In addition, the Solr was started with maximal 4G for JVM, and
range, but that is pretty dynamic, and we could shard
> data
> > by some other properties, but if the data is not evenly distributed, you
> may
> > not be able shard it anymore.
> >
> >
> >
> > --
> > View this message in context:
> http://lucene.472066.n3.nabble.com/How-to-do-a-Data-sharding-for-data-in-a-database-table-tp4212765p4212803.html
> > Sent from the Solr - User mailing list archive at Nabble.com.
>
data? for example, we could shard
> the data by date range, but that is pretty dynamic, and we could shard data
> by some other properties, but if the data is not evenly distributed, you may
> not be able shard it anymore.
>
>
>
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-Data-sharding-for-data-in-a-database-table-tp4212765p4212803.html
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d in a single
> request
> scenario.
>
> I have not done any data sharding before. What are some recommended way to
> do data sharding. For example, may be by a criteria with a list of specific
> values?
>
>
>
>
>
> --
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with a list of specific
values?
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