Fair enough, and I did think of this as well. However, I didn't think this was
a viable option in my case, since we're currently allowing the user to randomly
access the pages (so $lastkey wouldn't really have any meaning). The user can
choose to sort on object ID, name or modification time, and then go straight to
any page in the list. With 750K records, that's around 37K pages.
Maybe a better way to phrase my question is: how can I paginate my data on 3
different keys which allow random access to any given page, and still get
reasonable performance? Should I just force the user to limit their result set
to some given number of records before allowing any paginated access? Or is it
just not practical, period?
Thanks,
Michael Lorenz
----------------------------------------
> To: [EMAIL PROTECTED]
> CC: pgsql-performance@postgresql.org
> Subject: Re: [PERFORM] Query slows after offset of 100K
> Date: Thu, 14 Feb 2008 14:08:15 -0500
> From: [EMAIL PROTECTED]
>
> Michael Lorenz writes:
>> My query is as follows:
>> SELECT o.objectid, o.objectname, o.isactive, o.modificationtime
>> FROM object o
>> WHERE ( o.deleted = false OR o.deleted IS NULL )
>> AND o.accountid = 111
>> ORDER BY 2
>> LIMIT 20 OFFSET 10000;
>
> This is guaranteed to lose --- huge OFFSET values are never a good idea
> (hint: the database still has to fetch those rows it's skipping over).
>
> A saner way to do pagination is to remember the last key you displayed
> and do something like "WHERE key> $lastkey ORDER BY key LIMIT 20",
> which will allow the database to go directly to the desired rows,
> as long as you have an index on the key. You do need a unique ordering
> key for this to work, though.
>
> regards, tom lane
>
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