From: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
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To: | "Jim C(dot) Nasby" <decibel(at)decibel(dot)org> |
Cc: | Josh Berkus <josh(at)agliodbs(dot)com>, pgsql-performance(at)postgresql(dot)org |
Subject: | Re: Tuning planner cost estimates |
Date: | 2005-05-20 20:47:38 |
Message-ID: | 28982.1116622058@sss.pgh.pa.us |
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Lists: | pgsql-performance |
"Jim C. Nasby" <decibel(at)decibel(dot)org> writes:
> On Thu, May 19, 2005 at 09:31:47AM -0700, Josh Berkus wrote:
>> can test our formula for accuracy and precision. However, such a formula
>> *does* need to take into account concurrent activity, updates, etc ... that
>> is, it needs to approximately estimate the relative cost on a live database,
>> not a test one.
> Well, that raises an interesting issue, because AFAIK none of the cost
> estimate functions currently do that.
I'm unconvinced that it'd be a good idea, either. People already
complain that the planner's choices change when they ANALYZE; if the
current load factor or something like that were to be taken into account
then you'd *really* have a problem with irreproducible behavior.
It might make sense to have something a bit more static, perhaps a GUC
variable that says "plan on the assumption that there's X amount of
concurrent activity". I'm not sure what scale to measure X on, nor
exactly how this would factor into the estimates anyway --- but at least
this approach would maintain reproducibility of behavior.
> Another issue is: what state should the buffers/disk cache be in?
The current cost models are all based on the assumption that every query
starts from ground zero: nothing in cache. Which is pretty bogus in
most real-world scenarios. We need to think about ways to tune that
assumption, too. Maybe this is actually the same discussion, because
certainly one of the main impacts of a concurrent environment is on what
you can expect to find in cache.
regards, tom lane
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