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Re: wip: functions median and percentile

From: Hitoshi Harada <umi(dot)tanuki(at)gmail(dot)com>
To: Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>
Cc: Pavel Stehule <pavel(dot)stehule(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: 2010-10-01 14:11:08
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Lists: pgsql-hackerspgsql-rrreviewers
2010/10/1 Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>:
> Hitoshi Harada <umi(dot)tanuki(at)gmail(dot)com> writes:
>> 2010/9/26 Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com>:
>>> This patch needs a few work - can share a compare functionality with
>>> tuplesort.c, but I would to verify a concept now.
>> Sorry for delay. I read the patch and it seems the result is sane. For
>> window function calls, I agree that the current tuplesort is not
>> enough to implement median functions and the patch introduces its own
>> memsort mechanism, although memsort has too much copied from
>> tuplesort. It looks to me not so difficult to modify the existing
>> tuplesort to guarantee staying in memory always if an option to do so
>> is specified from caller. I think that option can be used by other
>> cases in the core code.
> If this patch tries to force the entire sort to happen in memory,
> it is not committable.  What will happen when you get a lot of data?
> You need to be working on a variant that will work anyway, not working
> on an unacceptable lobotomization of the main sort code.

What about array_agg()? Doesn't it exceed memory even if the huge data come in?

Hitoshi Harada

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