help is appreciated.
On Sun, Jun 6, 2010 at 8:54 PM, Yonik Seeley yo...@lucidimagination.comwrote:
On Sun, Jun 6, 2010 at 1:12 PM, Furkan Kuru furkank...@gmail.com wrote:
We try to provide real-time search. So the index is changing almost in
every
minute.
We commit for every 100
the facet
counts of all 1M of facet terms, or did you limit the number of facet terms
returned to a small number?
Also did your entire index fit within RAM?
--- On Sat, 6/5/10, Furkan Kuru furkank...@gmail.com wrote:
From: Furkan Kuru furkank...@gmail.com
Subject: Re: Faceted Search Slows Down
at 3:27 PM, Yonik Seeley yo...@lucidimagination.comwrote:
On Sun, Jun 6, 2010 at 7:38 AM, Furkan Kuru furkank...@gmail.com wrote:
facet.limit = default value 100
facet.minCount is 1
The document count that matches the query is 8-10K in average. I did not
calculate the terms (maybe using
Ok, I will have a look at distributed search, multi-core solr solution.
Thank you Yonik,
On Sun, Jun 6, 2010 at 8:54 PM, Yonik Seeley yo...@lucidimagination.comwrote:
On Sun, Jun 6, 2010 at 1:12 PM, Furkan Kuru furkank...@gmail.com wrote:
We try to provide real-time search. So the index
--
Furkan Kuru
this query is appreciated.
Thanks in advance.
--
Furkan Kuru
facet.method=enum
And to use the filterCache less, try
facet.enum.cache.minDf=100
-Yonik
http://www.lucidimagination.com
On Fri, Jun 4, 2010 at 10:31 AM, Furkan Kuru furkank...@gmail.com wrote:
Hello,
I have been dealing with real-time data.
As the number of total indexed documents
be on top.
facet1 [0]
abc (20)
def (18)
ghi (16)
facet2 [1]
jkl (10)
mno (9)
pqr (2)
thanks
dev.
--
Furkan Kuru
?
--
Furkan Kuru
