pg.ddx.io  pgsql-performance@postgresql.org mailing list archive  
help / color / mirror / Atom feed
From: Stephen Frost <sfrost@snowman.net>
To: Igor Chudov <ichudov@gmail.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: Postgres INSERT performance and scalability
Date: Mon, 19 Sep 2011 20:53:42 -0400
Message-ID: <20110920005342.GO12765@tamriel.snowman.net> (raw)
In-Reply-To: <CAMhtkAb1F1SOyz1mzeeWaQehoqtzk29oLVVG=NzKEoGS9bPDNg@mail.gmail.com>
References: <CAMhtkAb1F1SOyz1mzeeWaQehoqtzk29oLVVG=NzKEoGS9bPDNg@mail.gmail.com>

Igor,

* Igor Chudov (ichudov@gmail.com) wrote:
> Would the time that it takes, differ a great deal, depending on whether the
> table has only 100,000 or 5,000,000 records?

Yes, because PostgreSQL is going to copy the data.  If you don't need or
want it to be copied, just use a view.  I've never heard of any
relational database implementing 'copy on write' type semantics, if
that's what you're asking about.  Databases, unlike applications with
code in memory that's constantly copied, are typically focused around
minimizing duplication of data (since it all has to end up on disk at
some point).  Not much point in having the overhead of COW for that kind
of environment, I wouldn't think.

	Thanks,

		Stephen

Attachments:

  signature.asc (application/pgp-signature, 197B) download

view thread (8+ messages)  latest in thread

Message-ID: <20110920005342.GO12765@tamriel.snowman.net>
Permalink:  ../20110920005342.GO12765@tamriel.snowman.net/
Also on:    postgresql.org/message-id/20110920005342.GO12765@tamriel.snowman.net

 · 

reply

Reply instructions:

You may reply publicly to this message via plain-text email
using any one of the following methods:

* Reply to all the recipients using the --to and --cc options:
  reply via email

  To: pgsql-performance@postgresql.org
  Cc: sfrost@snowman.net, ichudov@gmail.com
  Subject: Re: Postgres INSERT performance and scalability
  In-Reply-To: <20110920005342.GO12765@tamriel.snowman.net>

* Save the following mbox file, import it into your mail client,
  and reply-to-all from there: mbox

This inbox is served by DDX for PostgreSQL; see mirroring instructions
for how to clone and mirror all data and code used for this inbox