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From: Heikki Linnakangas <heikki@enterprisedb.com>
To: Greg Smith <gsmith@gregsmith.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: TPC-H Scaling Factors X PostgreSQL Cluster Command
Date: Tue, 24 Apr 2007 09:52:38 +0100
Message-ID: <462DC556.5080601@enterprisedb.com> (raw)
In-Reply-To: <Pine.GSO.4.64.0704232331380.7149@westnet.com>
References: <d34b24380704210754q53aa86c8l3a63211d81febbf7@mail.gmail.com>
	<Pine.GSO.4.64.0704232331380.7149@westnet.com>

Greg Smith wrote:
> On Sat, 21 Apr 2007, Nelson Kotowski wrote:
> 
>> I identified that the cluster command over the lineitem table (cluster 
>> idx_lineitem on lineitem) is the responsible. I got to this conclusion 
>> because when i run it in the 1GB and 2GB database i am able to 
>> complete this script in 10 and 30 minutes each. But when i run this 
>> command over the 5GB database, it simply seems as it won't end.
> 
> Have you looked in the database log files for messages?  Unless you 
> changed some other parameters from the defaults that you didn't mention, 
> I'd expect you've got a constant series of "checkpoint occuring too 
> frequently" errors in there, which would be a huge slowdown on your 
> index rebuild.  Slowdowns from checkpoints would get worse with an 
> increase of shared_buffers, as you report.

Index builds don't write WAL, unless archive_command has been set. A 
higher shared_buffers setting can hurt index build performance, but for 
a different reason: the memory spent on shared_buffers can't be used for 
sorting and caching the sort tapes.

> The default setting for checkpoint_segments of 3 is extremely low for 
> even a 1GB database.  Try increasing that to 30, restart the server, and 
> rebuild the index to see how much the 1GB case speeds up.  If it's 
> significantly faster (it should be), try the 5GB one again.

A good advice, but it's unlikely to make a difference at load time.

BTW: With CVS HEAD, if you create the table in the same transaction (or 
TRUNCATE) as you load the data, the COPY will skip writing WAL which can 
give a nice speedup.

-- 
   Heikki Linnakangas
   EnterpriseDB   http://www.enterprisedb.com



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