How much of a performance impact if I store queries as
documents first?  

Actually, I just thought of a way to first select
queries with certain quality before doing memoryindex,
so it will trim it to much less than 100000.  

But has anyone done MemoryIndex?  I need some
real-world examples that can tell me how fast
MemoryIndex is before I decide to use it, like # of
queries /sec and cpu and memory they are using, etc. 
I searched all over google but can't find any.

--- markharw00d <[EMAIL PROTECTED]> wrote:

> >>If so, why not use it for the normal operation as
> well?  
> 
> Because MemoryIndex only allows you to store/query
> one document.
> It is fast, but I would not suggest running 10000
> queries against it.
> 
> Why not try store the queries as documents in a
> special index and query 
> them using the subject document.
> The results will be a rough short-list of the
> queries you now need to 
> run (ie less than 10,000!).  Put the subject
> document eg "i sell red 
> nike shoes" into a memory index then run the
> selected queries against it.
> 
> These queries may have mandatory clauses  ( eg +/-
> operators) which may 
> cause them to fail when run as queries against the
> MemoryIndexed subject 
> doc which is why the first "query the queries"
> search is insufficient to 
> find the matches.
> 
> Cheers,
> Mark
> 
> 
> Sam Lee wrote:
> 
> >Hi,
> >  Someone suggested that I should use MemoryIndex
> to
> >match content to a large # of queries. e.g. "nike
> red
> >shoes" --match--> "nike shoes -blue"  and
> --match-->
> >"nike shoes -black"...  What if I have 100000 of
> these
> >queries for each content?  and there maybe 1000000
> of
> >these contents.
> >
> >But how fast is MemoryIndex?  Is it cpu and memory
> >intensive?  I read somewhere and it said that it is
> >about  three order faster than normal operation. 
> If
> >so, why not use it for the normal operation as
> well?  
> >
> >Many thanks.
> >
> >
> >
> >
> >             
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