From: | Simon Riggs <simon(at)2ndQuadrant(dot)com> |
---|---|
To: | Pavan Deolasee <pavan(dot)deolasee(at)gmail(dot)com> |
Cc: | Robert Haas <robertmhaas(at)gmail(dot)com>, Greg Smith <greg(at)2ndquadrant(dot)com>, pgsql-hackers <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: write scalability |
Date: | 2011-07-26 16:55:29 |
Message-ID: | CA+U5nMK8Lg_Gsw+dbm+Ug=h9S3F2ZOMoT9=fys1Xt9NWc+xEVA@mail.gmail.com |
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Lists: | pgsql-hackers |
On Tue, Jul 26, 2011 at 4:40M, Pavan Deolasee <pavan(dot)deolasee(at)gmail(dot)com> wrote:
> On Tue, Jul 26, 2011 at 9:07 AM, Robert Haas <robertmhaas(at)gmail(dot)com> wrote:
>> On Mon, Jul 25, 2011 at 10:14 PM, Greg Smith <greg(at)2ndquadrant(dot)com> wrote:
>>> On 07/25/2011 04:07 PM, Robert Haas wrote:
>>>>
>>>> I did 5-minute pgbench runs with unlogged tables and with permanent
>>>> tables, restarting the database server and reinitializing the tables
>>>> between each run.
>>>
>>> Database scale? One or multiple pgbench worker threads? A reminder on the
>>> amount of RAM in the server would be helpful for interpreting the results
>>> too.
>>
>> Ah, sorry. scale = 100, so small. pgbench invocation is:
>>
>
> It might be worthwhile to test only with the accounts and history
> table and also increasing the number of statements in a transaction.
> Otherwise the tiny tables can quickly become a bottleneck.
+1
--
Simon Riggs http://www.2ndQuadrant.com/
PostgreSQL Development, 24x7 Support, Training & Services
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