Re: performance for high-volume log insertion
От | david@lang.hm |
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Тема | Re: performance for high-volume log insertion |
Дата | |
Msg-id | alpine.DEB.1.10.0904222156090.12662@asgard.lang.hm обсуждение исходный текст |
Ответ на | Re: performance for high-volume log insertion (Stephen Frost <sfrost@snowman.net>) |
Ответы |
Re: performance for high-volume log insertion
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Список | pgsql-performance |
On Wed, 22 Apr 2009, Stephen Frost wrote: > * Glenn Maynard (glennfmaynard@gmail.com) wrote: >> On Wed, Apr 22, 2009 at 5:51 PM, Stephen Frost <sfrost@snowman.net> wrote: >>> For a single column table, I wouldn't expect much either. With more >>> columns I think it would be a larger improvement. >> >> Maybe. I'm not sure why parsing "(1,2,3,4,5)" in an EXECUTE parameter >> should be faster than parsing the exact same thing in an INSERT, >> though. > > Erm.. Prepared queries is about using PQexecPrepared(), not about > sending a text string as an SQL EXECUTE(). PQexecPrepared takes an > array of arguments. That gets translated into a Bind command in the > protocol with a defined number of parameters and a length for each > parameter being passed. That removes any need for scanning/parsing the > string sent to the backend. That's the savings I'm referring to. are you sure? I thought that what goes out over the wire is always text. David Lang > If you weren't using PQexecPrepared() (and using psql, you wouldn't > be..), then the difference you saw was more likely planning cost. > >> Of course, you still need to get it in that format. Be careful to >> include any parsing you're doing to create the binary date in the >> benchmarks. Inevitably, at least part of the difference will be costs >> simply moving from the psql process to your own. > > Sure. What I recall from when I was working on this is that it wasn't > terribly hard to go from unix timestamps (epoch from 1970) to a PG > timestamp format (and there was nice example code in the backend) in > terms of CPU time. > > Thanks, > > Stephen >
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