Re: postgresql recommendation memory - Mailing list pgsql-performance

From Евгений Селявка
Subject Re: postgresql recommendation memory
Date
Msg-id CAKPhvNYtO3SEtsBMS4js6j48QK3WjN=yRefGBmH96s5Eut-SFw@mail.gmail.com
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In response to Re: postgresql recommendation memory  (Scott Marlowe <scott.marlowe@gmail.com>)
List pgsql-performance
Scott thank you for advice.

> If you've got one job that needs lots of mem and lot of jobs that
> don't, look at my recommendation to lower work_mem for all the low mem
> requiring jobs. If you can split those heavy lifting jobs out to
> another user, then you can use a pooler like pgbouncer to do admission
> control by limiting that heavy lifter to a few connections at a time.
> The rest will wait in line behind it.

I will deacrease this parametr to 32MB because this DB cluster is for WEB application, thats why there is notning to do heavyweight querys.

> You are definitely running your server out of memory then. Can you
> throw say 256G into it? It's usually worth every penny to throw memory
> at the problem. Reducing usage will help a lot for now tho.

Unfortunately no, all that i can grow up my memory for 72GB. If i set another 32GB to server, what shared_buffer i should use 8GB, 2GB or 18GB 1/4 from 72GB?
In this period of time i can set vm.overcommit_ratio=500 or 700 but this is very dangerous i think. Because all process can allocate (RAM+SWAP)*vm.overcommit_ratio/100 as i understand?

Once again thank you very much for link, i am read about it and graph. About max_connection i reply later, now i calculate it.


2013/11/6 Scott Marlowe <scott.marlowe@gmail.com>
Also also, the definitive page for postgres and dirty pages etc is here:

http://www.westnet.com/~gsmith/content/linux-pdflush.htm

Not sure if it's out of date with more modern kernels. Maybe Greg will chime in.



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С уважением Селявка Евгений

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