Re: wip: functions median and percentile

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От Dean Rasheed
Тема Re: wip: functions median and percentile
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Msg-id AANLkTik0bVJoJiMoaUgScAs-kKP=iLQ9uE_h75_FoXBc@mail.gmail.com
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Ответ на Re: wip: functions median and percentile  (Tom Lane <tgl@sss.pgh.pa.us>)
Ответы Re: wip: functions median and percentile  (Tom Lane <tgl@sss.pgh.pa.us>)
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On 11 October 2010 15:03, Tom Lane <tgl@sss.pgh.pa.us> wrote:
> Dean Rasheed <dean.a.rasheed@gmail.com> writes:
>> On 10 October 2010 22:16, Tom Lane <tgl@sss.pgh.pa.us> wrote:
>>> BTW, as far as the implementation issues go, telling tuplesort that it
>>> can use gigabytes of memory no matter what seems quite unacceptable.
>>> Put this thing into a hash aggregation and you'll blow out your memory
>>> in no time.  I don't think it's even a good idea to use work_mem there.
>
>> Argh! Yes that sounds like a much more serious problem.
>
>> Interestingly I couldn't seem to produce this effect. Every effort I
>> make to write a query to test this with median ends up being executed
>> using a GroupAggregate, while the equivalent query with avg uses a
>> HashAggregate. I don't understand why they are being treated
>> differently.
>
> If you're using recent sources, there's some code in count_agg_clauses()
> that assumes that an aggregate with transtype INTERNAL will use
> ALLOCSET_DEFAULT_INITSIZE (ie 8K) workspace.  So that'll discourage the
> planner from selecting HashAggregate except for a pretty small number of
> groups.  The problem is that there's still a whole lot of daylight
> between 8K and 2G, so plenty of room to go wrong.
>
> The other approach that we could take here is to replace the
> ALLOCSET_DEFAULT_INITSIZE hack (which is certainly no more than a hack)
> with some way for an aggregate to declare how much space it'll eat,
> or more simply to mark it as "never use in HashAgg".  This was discussed
> earlier but it would require a significant amount of dogwork and no one
> was real excited about doing it.  Maybe it's time to bite that bullet
> though.  Reflecting on it, I think it'd be best to allow an agg to
> provide an estimation function that'd be told the input data type and
> expected number of rows --- even on a per-aggregate basis, a constant
> estimate just isn't good enough.

How good will that estimate of the number of rows be though? If
they're coming from a SRF it could be a huge under-estimate, and you'd
still risk eating all the memory, if you allowed a hash aggregate.

Regards,
Dean


>
>                        regards, tom lane
>


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