Scott, are you really moving that much data through memory, 70-80GB/sec is the
limit of the new intel 7500 series in a best case scenario.
- John
-Original Message-
From: pgsql-performance-ow...@postgresql.org
[mailto:pgsql-performance-ow...@postgresql.org] On Behalf Of Scott Marlowe
I think adding
UNION ALL SELECT 'postgres version', version();
might be a good thing.
On Wed, Feb 16, 2011 at 9:55 AM, Greg Smith wrote:
> Kevin Grittner wrote:
>>
>> In fact, I wonder whether we shouldn't leave a couple items you've
>> excluded, since they are sometimes germane to problems pos
On Thu, Feb 17, 2011 at 11:17 AM, Tom Lane wrote:
> Mark Stosberg writes:
>> - The query planner didn't like it when the "ORDER BY" referred to a
>> column value instead of a static value, even when I believe it should
>> know that the column value never changes. See this pseudo-query where
>
On 02/17/2011 03:17 PM, Oleg Bartunov wrote:
> Mark,
>
> we investigating pgsphere http://pgsphere.projects.postgresql.org/, if
> we could add KNN support.
Great, thanks Oleg.
I'll be happy to test it when something is ready.
Mark
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Mark,
we investigating pgsphere http://pgsphere.projects.postgresql.org/, if we could
add KNN support.
Oleg
On Thu, 17 Feb 2011, Mark Stosberg wrote:
I thought the benefit of KNN was that you could retrieve the rows in
distance order, so that a query for the closest 20 locations (for
examp
Mark Stosberg writes:
> - The query planner didn't like it when the "ORDER BY" referred to a
> column value instead of a static value, even when I believe it should
> know that the column value never changes. See this pseudo-query where
> we look-up the coordinates for 90210 once:
> EXPLA
Heikki Linnakangas writes:
> The existing opclasses only support distance-to-a-point, but I believe
> the KNN gist code is flexible enough that it could be used for distance
> to the edge of a shape as well. Someone just needs to write the
> operators and support functions.
The distance has to
I tried again to use KNN for a real-world query, and I was able to get
it to add an approximately 6x speed-up vs the cube search or
earthdistance methods ( from 300 ms to 50ms ).
I had to make some notable changes for the KNN index to be considered.
- Of course, I had to switch to using basic po
On 17.02.2011 17:20, Mark Stosberg wrote:
I thought the benefit of KNN was that you could retrieve the rows in
distance order, so that a query for the closest 20 locations (for
example) would be very fast. I wouldn't have expected it to be
helpful when you're selecting all the rows regardless of
> PostGIS, geometry columns, and UTM.. I'm not sure where they are wrt
> adding KNN support, but it's something they've been anxious to have for
> a while, so I expect support will come quickly.
I've looked into this a little more.
One approach seems to be to project the lat/long pairs on to a f
* Mark Stosberg (m...@summersault.com) wrote:
> Recommendations?
PostGIS, geometry columns, and UTM.. I'm not sure where they are wrt
adding KNN support, but it's something they've been anxious to have for
a while, so I expect support will come quickly.
Thanks,
Stephen
On Fri, Feb 4, 2011 at 8:46 AM, felix wrote:
>
> I am having huge performance problems with a table. Performance deteriorates
> every day and I have to run REINDEX and ANALYZE on it every day. auto
> vacuum is on. yes, I am reading the other thread about count(*) :)
> but obviously I'm doing som
> I thought the benefit of KNN was that you could retrieve the rows in
> distance order, so that a query for the closest 20 locations (for
> example) would be very fast. I wouldn't have expected it to be
> helpful when you're selecting all the rows regardless of distance.
Kevin,
Thanks for the
Mark Stosberg wrote:
> Sample EXPLAIN output and query times are below.
> Seq Scan on zipcodes (cost=0.00..1257.54 rows=41483 width=22)
> (actual time=0.019..84.543 rows=41483 loops=1)
> Index Scan using zipcodes_knn on zipcodes (cost=0.00..5365.93
> rows=41483 width=22) (actual time=0.4
We perform over 1,000,000 searches each day for "adoptable shelter pets
near your zipcode". We already have adequate performance for these
searches using the "cube" contrib, but the new KNN work in 9.1 seemed
like it might be a promising way to speed this up even further.
I installed PostgreSQL 9
Thomas Pöhler wrote:
I remember you said you were using nginx and php-fastcgi, how many web
server boxes do you have, and what are the specs ?
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