Re: gaussian distribution pgbench
От | Gavin Flower |
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Тема | Re: gaussian distribution pgbench |
Дата | |
Msg-id | 52B3789A.50803@archidevsys.co.nz обсуждение исходный текст |
Ответ на | Re: gaussian distribution pgbench (Peter Geoghegan <pg@heroku.com>) |
Ответы |
Re: gaussian distribution pgbench
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Список | pgsql-hackers |
On 20/12/13 09:36, Peter Geoghegan wrote: > On Thu, Nov 21, 2013 at 9:13 AM, Heikki Linnakangas > <hlinnakangas@vmware.com> wrote: >> So what I'd actually like to see is \setgaussian, for use in custom scripts. > +1. I'd really like to be able to run a benchmark with a Gaussian and > uniform distribution side-by-side for comparative purposes - we need > to know that we're not optimizing one at the expense of the other. > Sure, DBT-2 gets you a non-uniform distribution, but it has serious > baggage from it being a tool primarily intended for measuring the > relative performance of different database systems. pgbench would be > pretty worthless for measuring the relative strengths and weaknesses > of different database systems, but it is not bad at informing the > optimization efforts of hackers. pgbench is a defacto standard for > that kind of thing, so we should make it incrementally better for that > kind of thing. No standard industry benchmark is likely to replace it > for this purpose, because such optimizations require relatively narrow > focus. > > Sometimes I want to maximally pessimize the number of FPIs generated. > Other times I do not. Getting a sense of how something affects a > variety of distributions would be very valuable, not least since > normal distributions abound in nature. > > Curious, wouldn't the common usage pattern tend to favour a skewed distribution, such as the Poisson Distribution (it has been over 40 years since I studied this area, so there may be better candidates). Just that gut feeling & experience tends to make me think that the "Normal" distribution may often not be the best for database access simulation. Cheers, Gavin
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