pg.ddx.io  pgsql-performance@postgresql.org mailing list archive  
help / color / mirror / Atom feed
From: Tom Lane <tgl@sss.pgh.pa.us>
To: Justin Pryzby <pryzby@telsasoft.com>
Cc: Lars Bergeson <larsavatar@gmail.com>
Cc: pgsql-performance@lists.postgresql.org
Subject: Re: Query is slower with a large proportion of NULLs in several columns
Date: Tue, 21 Dec 2021 00:01:28 -0500
Message-ID: <2704544.1640062888@sss.pgh.pa.us> (raw)
In-Reply-To: <20211221045138.GZ17618@telsasoft.com>
References: <CAK66RGYim22Sd8-NvmufcxEQ_P99=UTAyJ9agnwDyEbCiVGEQg@mail.gmail.com>
	<2688019.1640051519@sss.pgh.pa.us>
	<CAK66RGbd8n46xEp3fTKOa3pO3eC=NT8tEHHZYjuNZq4Y0SQHTw@mail.gmail.com>
	<20211221045138.GZ17618@telsasoft.com>

Justin Pryzby <pryzby@telsasoft.com> writes:
> On Mon, Dec 20, 2021 at 08:11:42PM -0800, Lars Bergeson wrote:
>> Still taking 10X more I/O to read the smaller table. Very odd.

> If I'm not wrong, it's even worse than that ?
> It takes 20 or 30sec to run the query - but it says the associated I/O times
> are ~500sec or ~6000sec ?

It would help if somebody had labeled the units of I/O Time
... but I'm guessing those are microsec vs. the millisec
of the other times, because otherwise it's completely wrong.

			regards, tom lane





view thread (13+ messages)  latest in thread

Message-ID: <2704544.1640062888@sss.pgh.pa.us>
Permalink:  ../2704544.1640062888@sss.pgh.pa.us/
Also on:    postgresql.org/message-id/2704544.1640062888@sss.pgh.pa.us

 · 

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: tgl@sss.pgh.pa.us, pryzby@telsasoft.com, larsavatar@gmail.com, pgsql-performance@lists.postgresql.org
  Subject: Re: Query is slower with a large proportion of NULLs in several columns
  In-Reply-To: <2704544.1640062888@sss.pgh.pa.us>

* 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