From: | Imre Samu <pella(dot)samu(at)gmail(dot)com> |
---|---|
To: | Tory M Blue <tmblue(at)gmail(dot)com> |
Cc: | "pgsql-performance(at)postgresql(dot)org" <pgsql-performance(at)postgresql(dot)org> |
Subject: | Re: pgtune or similar to assist in initial settings |
Date: | 2016-07-12 20:03:55 |
Message-ID: | CAJnEWwk_2-TQr97e8quhyYMkNQe6gXnZWhHGuFk5hi_Jmei_Wg@mail.gmail.com |
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Lists: | pgsql-performance |
> So looking for a good start as I start bringing up systems in Amazon,
AWS for performance.
Maybe useful information:
- "Amazon Web Services – RDBMS in the Cloud: PostgreSQL on AWS" (2013)
https://aws.amazon.com/whitepapers/postgresql-in-the-cloud/ Download
Whitepaper <http://media.amazonwebservices.com/AWS_RDBMS_PostgreSQL.pdf>
-" Amazon EBS Volume Performance on Linux Instances"
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSPerformance.html
Imre
2016-07-12 2:34 GMT+02:00 Tory M Blue <tmblue(at)gmail(dot)com>:
> I've found that pgtune doesn't quite provide the benefit that I would
> like. It still uses large work mem and maintenance work mem numbers,
> even though, up until now Postgres has an issue with large numbers of
> tuples, so seems that smaller settings are better, in the 64MB type
> range. (based on feedback from this list in the past and testing of
> larger numbers on dedicated systems).
>
> Also I've found no benefit to larger Effective cache numbers in boxen
> dedicated to postgres.
>
> So looking for a good start as I start bringing up systems in Amazon,
> AWS for performance.
>
> pgtune is a great idea, but it's numbers seem to be based on what
> should be, vs what is..
>
> I'm currently on CentOS6 and 9.4.5
>
> Hardware specs of the AWS systems are 8 cpu/60 GB, I may bump that to
> a 16/122gb, but trying to control costs and I know going from 8 to 32
> yielded almost 0, my biggest gain was memory but even then I don't
> think I've got settings correct.
>
> Thanks
> Tory
>
>
> --
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