no problem pat. TS is wonderful as it is.

 just spotted this post in the forum(
http://groups.google.com/group/thinking-sphinx/browse_thread/thread/80263563caa75bd3/b599438533555d8f?lnk=gst&q=distributed&pli=1
).

This will solve my need for having distributed index. R these changes
live like you mentioned in the post ?

Thank you for all the help.

PS: i will keep thinking about the syntax and i will definitely
communicate with you if i come-up with something.

regards
madhu




On Feb 18, 12:12 am, Pat Allan <[email protected]> wrote:
> Unfortunately, TS does not support distributed indexes... I would like to, 
> but it hasn't been a priority, and I'm not sure what the syntax would look 
> like. Any suggestions on how it should be implemented are welcome.
>
> --
> Pat
>
> On 18/02/2010, at 10:19 AM, madhu wrote:
>
> > hi pat,
>
> > I have sent my previous message to you by clicking on 'reply to
> > author' instead of posting here. Sorry about the spam.
>
> > in short, the suggestion i got from 'sphinx forum' is to use
> > distributed indexing. Does TS support distributed indexing ?
>
> > tx
> > madhu
>
> > On Feb 17, 12:52 pm, madhu <[email protected]> wrote:
> >> hello pat,
>
> >> Thank you very much for the quick response. I will check the same with
> >> sphinx group as well. I am trying to simplify the complex query
> >> structure. When i reduce max_match to :1000, i could save about
> >> 50-100ms.
>
> >> regards
> >> madhu
>
> >> On Feb 17, 12:38 am, Pat Allan <[email protected]> wrote:
>
> >>> Hi Madhu
>
> >>> I've never dealt with a Sphinx index of that size, so I'm not sure what 
> >>> the best approach is. I recommend you ask this same question on the 
> >>> Sphinx Forum, see if the people there can 
> >>> help.http://www.sphinxsearch.com/forum/
>
> >>> Also, you may want to look into the following 
> >>> setting:http://www.sphinxsearch.com/docs/manual-0.9.9.html#conf-preopen
>
> >>> It's also worth noting that queries get slower the more complex they are, 
> >>> and your previous email was in a thread with a complex query you 
> >>> wanted... if there's any way of simplifying that, then that should help 
> >>> speeds too. Having an explicit max_matches much higher than 1000 also 
> >>> keeps Sphinx running a bit slower.
>
> >>> Hope this is somewhat helpful.
>
> >>> Cheers
>
> >>> --
> >>> Pat
>
> >>> On 17/02/2010, at 3:35 PM, madhu wrote:
>
> >>>> Is there anyperformancetuning parameters for sphinx. I am using the
> >>>> following values in my sphinx.yml:
> >>>> mem_limit: 256M
> >>>> read_buffer: 2M
> >>>> Is there any other things i can tune to improve theperformance?
>
> >>>> I have 10 million records and my sphinx index folder is about 2.5gb.
> >>>> and using "extended" search queries with max_matches: 2000. Its taking
> >>>> almost 1.5 seconds for one search query in sphinx. The average DB
> >>>> response time is 20 - 100ms. I want to reduce sphinx delay to 500ms or
> >>>> less. Is it possible ?
>
> >>>> Other thing I observed is though the index size is 2.5gb, searchd only
> >>>> occupies 500mb of RAM when started. then when the queries are running,
> >>>> the memory usage goes between 500mb and 700mb. Is there a way to load
> >>>> entire index to memory so that i can completely eliminate the IO
> >>>> reads ?(I have enough RAM)
>
> >>>> I am running sphinx server in one machine, DB in another machine and
> >>>> Web-Server on a third machine.
>
> >>>> appreciate any help.
>
> >>>> tx
> >>>> madhu
>
> >>>> --
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