At 02:20 AM 3/25/2009, pgsql-sql-ow...@postgresql.org wrote:
To: Zdravko Balorda <zdravko.balo...@siix.com>
cc: pgsql-sql@postgresql.org
Subject: Re: Alter Table/Indexing
In-reply-to: <49c89fea.8060...@siix.com>
References: <49c89fea.8060...@siix.com>
Comments: In-reply-to Zdravko Balorda <zdravko.balo...@siix.com>
        message dated "Tue, 24 Mar 2009 09:55:06 +0100"
Date: Tue, 24 Mar 2009 10:35:31 -0400
Message-ID: <27189.1237905...@sss.pgh.pa.us>
From: Tom Lane <t...@sss.pgh.pa.us>
X-Archive-Number: 200903/84
X-Sequence-Number: 32327

Zdravko Balorda <zdravko.balo...@siix.com> writes:
> I wonder does ATER TABLE TYPE, SET, depends on indexes, like INSERT does > in a sense it may be faster to drop and recreate index than sorting
> after every row inserted.

ALTER TABLE TYPE already rebuilds the indexes; you won't make the
overall process any faster by doing that by hand.

                        regards, tom lane

I had a case (a long time ago) where I was on MS SQL in a production environment. We had a number of indices which were system related - meaning they were used infrequently to speed up certain administrative functions. When doing a bulk load we found that if we dropped these indices (but kept the ones that were crucial for production) we could significantly speed up the "effective downtime" of the system b/c any DDL statement was executed faster. We would then schedule these indices to be re-created at later dates, spreading out the load (b/c the system was in production at that point).

I wonder if Postgres functions similarly for such a use case? As Tom says, the total processing time is fixed: you have to upload the data and rebuild all the indices, but if there are non-critical indices, you can go from "zero" to "data loaded" faster by dropping them and rebuilding them manually later?

Thanks for any insight on that (and I hope my question helps the OP as well - if this seems off topic let me know),

Steve


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