From: | Robert Haas <robertmhaas(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>, Stephen Frost <sfrost(at)snowman(dot)net>, Vik Reykja <vikreykja(at)gmail(dot)com>, PostgreSQL Hackers <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: proposal: fix corner use case of variadic fuctions usage |
Date: | 2013-01-20 22:01:49 |
Message-ID: | CA+TgmoYZE7wri4+_4G6Tbf+q0_UC-KYzhfEhQVJ_oE_x91PPpw@mail.gmail.com |
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Lists: | pgsql-general pgsql-hackers |
On Sun, Jan 20, 2013 at 2:26 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
> Robert Haas <robertmhaas(at)gmail(dot)com> writes:
>> On Sat, Jan 19, 2013 at 3:27 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
>>> That's utter nonsense. Why wouldn't people expect concat(), for
>>> example, to work for large (or even just moderate-sized) arrays?
>
>> /me blinks.
>
>> What does that have to do with anything? IIUC, the question isn't
>> whether CONCAT() would work for large arrays, but rather for very
>> large numbers of arrays written out as CONCAT(a1, ..., a10000000).
>
> No, the question is what happens with CONCAT(VARIADIC some-array-here),
> which currently just returns the array as-is, but which really ought
> to concat all the array elements as if they'd been separate arguments.
Wow, that's pretty surprising behavior.
> Pavel is claiming it's okay for that to fall over if the array has
> more than 100 elements. I disagree, not only for the specific case of
> CONCAT(), but with the more general implication that such a limitation
> is going to be okay for any VARIADIC ANY function that anyone will ever
> write.
I don't know - how many of those will there really ever be? I mean,
people only write functions as VARIADIC as a notational convenience,
don't they? If you actually need to pass more than 100 separate
pieces of data to a function, sending over 100+ parameters is almost
certainly the Wrong Way To Do It.
--
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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