From: | Jim Nasby <jim(at)nasby(dot)net> |
---|---|
To: | Christopher Browne <cbbrowne(at)acm(dot)org> |
Cc: | pgsql-advocacy(at)postgresql(dot)org |
Subject: | Re: MySQL million tables |
Date: | 2006-03-11 00:17:11 |
Message-ID: | 5C6BC264-916E-4A08-8AC9-6ECCDAE3C6F4@nasby.net |
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Lists: | pgsql-advocacy |
I can't believe y'all are burning cycles on this. :P
On Mar 9, 2006, at 8:04 AM, Christopher Browne wrote:
> A long time ago, in a galaxy far, far away, greg(at)turnstep(dot)com
> ("Greg Sabino Mullane") wrote:
>> I kicked this off last night before bed. It ran much quicker than
>> I thought, due to that 27 hour estimate.
>>
>> Total time: 23 minutes 29 seconds :)
>
> I'm jealous. I've got the very same thing running on some Supposedly
> Pretty Fast Hardware, and it's cruising towards 31 minutes plus a few
> seconds.
>
> While it's running, the time estimate is...
>
> select (now() - '2006-03-09 13:47:49') * 1000000 / (select count(*)
> from pg_class where relkind='r' and relname ~ 'foo');
>
> That pretty quickly converged to 31:0?...
>
>> Maybe I'll see just how far PG *can* go next. Time to make a
>> PlanetPG post, at any rate.
>
> Another interesting approach to it would be to break this into several
> streams.
>
> There ought to be some parallelism to be gained, on systems with
> multiple disks and CPUs, by having 1..100000 go in parallel to 100001
> to 200000, and so forth, for (oh, say) 10 streams. Perhaps it's
> irrelevant parallelism; knowing that it helps/hurts would be nice...
> --
> (format nil "~S(at)~S" "cbbrowne" "cbbrowne.com")
> http://linuxfinances.info/info/rdbms.html
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>
--
Jim C. Nasby, Database Architect decibel(at)decibel(dot)org
Give your computer some brain candy! www.distributed.net Team #1828
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