Hi, Sam,
Is there a reason you couldn't build a test case and try it, in your
environment and on your hardware? That seems to be the only way to
really answer the question.
On 24 Oct 2005, at 09:54, Sam Lee wrote:
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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