Hi Pat,

Thanks for the feedback. I wish I could lean towards your solution! :)

I'll investigate running a parallel instance with higher max_matches.
Would it be easier to duplicate the main environment using Riddle
directly?

Si



On Aug 23, 9:53 am, Pat Allan <[email protected]> wrote:
> Hi Simon
>
> I'm not sure about the underlying Sphinx logic, but it wouldn't surprise me 
> if what you've suggested is the case. You could ask the question on the 
> Sphinx forum to confirm, though:
>
> http://www.sphinxsearch.com/forum/
>
> I'd probably be leaning towards informing users that their downloaded search 
> results are limited to the most recent x values, unfortunately. Not the ideal 
> solution, of course...
>
> I guess an alternative, although it does add extra complexity, is to have two 
> searchd instances running (use a second environment), and the second has the 
> higher max_matches value. Would that be feasible?
>
> Cheers
>
> --
> Pat
>
> On 22/08/2010, at 5:10 PM, tokumine wrote:
>
>
>
> > Hi all,
>
> > We're trying to let users download their searches.
>
> > In app, we're fine to paginate results up to 1000 items, but on the
> > download, we need to get the id's of all matching results.
>
> > The total number of items in the search index, and that are
> > downloadable is around 150k
>
> > increasing max_matches to 150k in both the sphinx.yml and download
> > search query arguments allows us to get all the ids *but* at a huge
> > cost to query time for normal in app searches (searches go from 1-2s
> > to around 10s) despite setting max_matches in our non-download in-app
> > queries to 1k.
>
> > It seems like max_matches in the sphinx.yml is setting the pace of all
> > queries, regardless of how low max_matches is specified in the actual
> > search call arguments - is this normal behaviour?
>
> > Tks!
>
> > S
>
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