Here's a blog post about the pg_search stuff for more background on motivation 
for it:

http://pivotallabs.com/users/grant/blog/articles/1566-pg-search-how-i-learned-to-stop-worrying-and-love-postgresql-full-text-search

For me PostGIS is another selling point for using a PG based solution if you 
foresee wanting to do geolocation proximity queries at some point. 




On May 18, 2011, at 3:09 PM, Jordz <[email protected]> wrote:

> I used the full text search built into postgresql a couple years ago.  Worked 
> great, can't talk about performance compared to anything else but it was fast 
> enough for us.  I was replacing the use of xapian because it was difficult to 
> manage and maintain/update.  As Breccan said, less points of failure.
> 
> I think the way I used it, it auto updated the full text indexes.  For a 
> write intensive application you might need to do something extra or another 
> solution, but for primarily reads I think it is brilliant.
> 
> Another point is having the search inside your DB you can do the normal DB 
> things like sort, limit, join... Which can be really really helpful, instead 
> of having to communicate between the DB and a search server.
> 
> I haven't used sphyx or solr so can't comment or compare.
> 
> On 18 May 2011 14:51, Tim Uckun <[email protected]> wrote:
> On Wed, May 18, 2011 at 2:11 PM, Breccan McLeod-Lundy
> <[email protected]> wrote:
> > Text search in postgres can update smoothly with DB triggers and be
> > very speedy if it happens to fit your needs. Unlike the other options
> > with that periodic indexing. Also, less points of failure.
> >
> > The peepcode postgres screencast has a very nice overview of it.
> >
> > -Breccan
> 
> What is the performance like compared to sphyx or solr. Also how much
> additional load does it put on your database?
> 
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