Re: performance for high-volume log insertion - Mailing list pgsql-performance

From Glenn Maynard
Subject Re: performance for high-volume log insertion
Date
Msg-id bd36f99e0904221233n191d05abwada64ab8438fc5ae@mail.gmail.com
Whole thread Raw
In response to Re: performance for high-volume log insertion  (Stephen Frost <sfrost@snowman.net>)
Responses Re: performance for high-volume log insertion
Re: performance for high-volume log insertion
List pgsql-performance
On Wed, Apr 22, 2009 at 8:19 AM, Stephen Frost <sfrost@snowman.net> wrote:
> Yes, as I beleive was mentioned already, planning time for inserts is
> really small.  Parsing time for inserts when there's little parsing that
> has to happen also isn't all *that* expensive and the same goes for
> conversions from textual representations of data to binary.
>
> We're starting to re-hash things, in my view.  The low-hanging fruit is
> doing multiple things in a single transaction, either by using COPY,
> multi-value INSERTs, or just multiple INSERTs in a single transaction.
> That's absolutely step one.

This is all well-known, covered information, but perhaps some numbers
will help drive this home.  40000 inserts into a single-column,
unindexed table; with predictable results:

separate inserts, no transaction: 21.21s
separate inserts, same transaction: 1.89s
40 inserts, 100 rows/insert: 0.18s
one 40000-value insert: 0.16s
40 prepared inserts, 100 rows/insert: 0.15s
COPY (text): 0.10s
COPY (binary): 0.10s

Of course, real workloads will change the weights, but this is more or
less the magnitude of difference I always see--batch your inserts into
single statements, and if that's not enough, skip to COPY.

--
Glenn Maynard

pgsql-performance by date:

Previous
From: Matthew Wakeling
Date:
Subject: Re: GiST index performance
Next
From: david@lang.hm
Date:
Subject: Re: performance for high-volume log insertion