omething seems seriously wrong.
Should I be expecting more performance from this hardware than what I'm
getting in these tests?
Regards,
George McCollister
--
H. Hall
ReedyRiver Group LLC
http://www.reedyriver.com
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;2008-07-01
00:00:00'::timestamp without time zone) AND (start_time <=
'2008-07-29'::date))
Total runtime: 75460.361 ms
It seems to me there should be some way to create an index to speed this up,
but the various ones I've tried so far haven't helped. Any suggestions would
be greatly appreciated.
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H. Hall
ReedyRiver Group LLC
http://www.reedyriver.com
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dx
ON measures_0
USING btree
(value);
---
Regards
Loïc Petit
--------
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H. Hall
ReedyRiver Group LLC
http://www.reedyriver.com
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To make changes to your s
e to inspect every row and decode it and then compare
it or add it or whatever.
Then I did misunderstand.
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ReedyRiver Group LLC
http://www.reedyriver.com
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d SATA.
HH
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PFC wrote:
On Wed, 21 May 2008 16:10:53 +0200, H. Hall wrote:
Does anyone know if there is a source that provides "Big O" notation
for postgres's aggregate functions and operations? For example is
count(*) = O(1) or O(n)?
Do the developers for postgres use Big O when selec
Does anyone know if there is a source that provides "Big O" notation for
postgres's aggregate functions and operations? For example is count(*)
= O(1) or O(n)?
Do the developers for postgres use Big O when selecting algorithms? If
so, is the info easily available?
Thanks,
HH
Note: I am resending this because the first never appeared after 40hrs.
HH
[EMAIL PROTECTED] wrote:
Hello
i have a python script to update 60 rows to one table from a csv file in my
postgres database and it takes me 5 hours to do the transaction...
I'm on debian etch with 8.1 postgres serv
[EMAIL PROTECTED] wrote:
Hello
i have a python script to update 60 rows to one table from a csv file in my
postgres database and it takes me 5 hours to do the transaction...
I'm on debian etch with 8.1 postgres server on a 64 bits quad bi opteron.
I have desactived all index except the pr