Re: POC: GROUP BY optimization - Mailing list pgsql-hackers

From Andrei Lepikhov
Subject Re: POC: GROUP BY optimization
Date
Msg-id ed20bce1-333f-4ebc-96fc-dac5f931e4b2@postgrespro.ru
Whole thread Raw
In response to Re: POC: GROUP BY optimization  (Alexander Korotkov <aekorotkov@gmail.com>)
Responses Re: POC: GROUP BY optimization  (Tom Lane <tgl@sss.pgh.pa.us>)
List pgsql-hackers
On 27/12/2023 11:15, Alexander Korotkov wrote:
> On Wed, Dec 27, 2023 at 5:23 AM Tom Lane <tgl@sss.pgh.pa.us> wrote:
>> Alexander Korotkov <aekorotkov@gmail.com> writes:
>>> 2) An accurate estimate of the sorting cost is quite a difficult task.
>>
>> Indeed.
>>
>>> What if we make a simple rule of thumb that sorting integers and
>>> floats is cheaper than sorting numerics and strings with collation C,
>>> in turn, that is cheaper than sorting collation-aware strings
>>> (probably more groups)?  Within the group, we could keep the original
>>> order of items.
>>
>> I think it's a fool's errand to even try to separate different sort
>> column orderings by cost.  We simply do not have sufficiently accurate
>> cost information.  The previous patch in this thread got reverted because
>> of that (well, also some implementation issues, but mostly that), and
>> nothing has happened to make me think that another try will fare any
>> better.
To be clear. In [1], I mentioned we can perform micro-benchmarks and 
structure costs of operators. At least for fixed-length operators, it is 
relatively easy. So, the main block here is an accurate prediction of 
ndistincts for different combinations of columns. Does it make sense to 
continue to design the feature in the direction of turning on choosing 
between different sort column orderings if we have extended statistics 
on the columns?

[1] 
https://www.postgresql.org/message-id/e3602ccb-e643-2e79-ed2c-1175a80533a1@postgrespro.ru

-- 
regards,
Andrei Lepikhov
Postgres Professional




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