Re: wip: functions median and percentile

From: Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com>
To: Peter Eisentraut <peter_e(at)gmx(dot)net>
Cc: Greg Stark <gsstark(at)mit(dot)edu>, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>, Dean Rasheed <dean(dot)a(dot)rasheed(at)gmail(dot)com>, Hitoshi Harada <umi(dot)tanuki(at)gmail(dot)com>, Robert Haas <robertmhaas(at)gmail(dot)com>, David Fetter <david(at)fetter(dot)org>, PostgreSQL Hackers <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: wip: functions median and percentile
Date: 2010-10-13 10:56:06
Message-ID: AANLkTi=kLrKJvJhrRSu7sD5hCPVrXiJ+KYm4o94fiNnf@mail.gmail.com
Views: Raw Message | Whole Thread | Download mbox | Resend email
Thread:
Lists: pgsql-hackers pgsql-rrreviewers

2010/10/13 Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com>:
> 2010/10/13 Peter Eisentraut <peter_e(at)gmx(dot)net>:
>> On mån, 2010-10-11 at 20:46 +0200, Pavel Stehule wrote:
>>> The problem is in interface. The original patch did it, but I removed
>>> it. We cannot to unsure immutability of some parameters now.
>>
>> How about you store the "immutable" parameter in the transition state
>> and error out if it changes between calls?
>>
>
> yes, it's possibility. Now I looking there and I see the as more
> important problem the conformance with ANSI SQL. see my last post.
> There can be a kind of aggregate functions based on tuplesort.

more - all these functions needs to solve same problem with planner
and hash agg. So maybe is time to add a flag ISTUPLESORTED to pg_proc
and add solve these functions together.

Pavel

>
> Regards
>
> Pavel
>
>
>>
>

In response to

Responses

Browse pgsql-hackers by date

  From Date Subject
Next Message Andrew Dunstan 2010-10-13 11:33:58 Re: WIP: extensible enums
Previous Message Vitalii Tymchyshyn 2010-10-13 10:54:19 Re: Slow count(*) again...

Browse pgsql-rrreviewers by date

  From Date Subject
Next Message Robert Haas 2010-10-14 00:54:42 Re: wip: functions median and percentile
Previous Message Pavel Stehule 2010-10-13 10:51:51 Re: wip: functions median and percentile