Re: Quantify small changes to predicate evaluation
От | Robert Haas |
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Тема | Re: Quantify small changes to predicate evaluation |
Дата | |
Msg-id | CA+TgmobS1DZMLP1Ui+_wzzUDnM2wjKNMtNnxOFpecD7Mo5DVKg@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: Quantify small changes to predicate evaluation (Dennis Butterstein <soullinuxer@web.de>) |
Список | pgsql-hackers |
On Tue, Jun 17, 2014 at 10:23 AM, Dennis Butterstein <soullinuxer@web.de> wrote: > Hi Marti, thank you for your quick reply. I tried the proposed tweaks and > see some differences regarding the measurements. It seems as if the overall > query performance dropped a little what I think the disabled turbo boost > mode is responsible for (all measurements are single query only). I think > that kind of behaviour is somewhat expected. Run1: 26.559s Run2: 28.280s > Unfortunately the variance between the runs seems to remain high. In fact I > have exclusive access to the machine and I made sure not to run in any i/o > related problems regarding buffer caches. Are there any other stumbling > blocks I'm missing at the moment? Maybe I've to rethink my (end-to-end) > measurement strategy. In your experience how small is it possible to get > measurement variances on Postgres? Thank you very much. Kind regards, Dennis I find that it's possible to get smaller variations than what you're experiencing on read-only workloads without any special tuning, but variation on workloads that write data is much higher, similar to what you're seeing. -- Robert Haas EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company
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