Calculating distance involves giving an array of 150 float8 to a pgsql
function, then calling a C function 2 million times (at the moment),
giving it two arrays of 150 float8.
Just calculating distance for 2 million rows and extracting the
distance takes less than a second. I think that includes sorting by
distance and sending 100 rows to the client.
Are you suggesting eliminating the physical linking and calculating
matching documents on the fly?
Is there a way to speed up my C function by giving it all the float
arrays, calling it once and having it return a set of matches? Would
this be faster than calling it from a select, once for each array?
Sent from my comfortable recliner
On 30/04/2011, at 18:28, Kevin Grittner <Kevin.Grittner@wicourts.gov> wrote:
> Joel Reymont <joelr1@gmail.com> wrote:
>
>> We have 2 million documents now and linking an ad to all of them
>> takes 5 minutes on my top-of-the-line SSD MacBook Pro.
>
> How long does it take to run just the SELECT part of the INSERT by
> itself?
>
> -Kevin