Re: Disk-based hash aggregate's cost model

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От Jeff Davis
Тема Re: Disk-based hash aggregate's cost model
Дата
Msg-id 888b956ca998e534e8c81a3d23da0879855b4d96.camel@j-davis.com
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Ответ на Disk-based hash aggregate's cost model  (Peter Geoghegan <pg@bowt.ie>)
Ответы Re: Disk-based hash aggregate's cost model  (Tomas Vondra <tomas.vondra@2ndquadrant.com>)
Список pgsql-hackers
On Thu, 2020-08-27 at 17:28 -0700, Peter Geoghegan wrote:
> We have a Postgres 13 open item for Disk-based hash aggregate, which
> is the only non-trivial open item. There is a general concern about
> how often we get disk-based hash aggregation when work_mem is
> particularly low, and recursion seems unavoidable. This is generally
> thought to be a problem in the costing.

We discussed two approaches to tweaking the cost model:

1. Penalize HashAgg disk costs by a constant amount. It seems to be
chosen a little too often, and we can reduce the number of plan
changes.

2. Treat recursive HashAgg spilling skeptically, and heavily penalize
recursive spilling.

The problem with approach #2 is that we have a default hash mem of 4MB,
and real systems have a lot more than that. In this scenario, recursive
spilling can beat Sort by a lot.

For instance:

Data:
  create table text10m(t text collate "C.UTF-8", i int, n numeric);
  insert into t10m
    select s.g::text, s.g, s.g::numeric
    from (
      select (random()*1000000000)::int as g
      from generate_series(1,10000000)) s;
  vacuum (freeze,analyze) text10m;

Query: explain analyze select distinct t from text10m;

HashAgg: 10.5s
Sort+Distinct: 46s

I'm inclined toward option #1 for simplicity unless you feel strongly
about option #2. Specifically, I was thinking of a 1.5X penalty for
HashAgg disk costs.

Regards,
    Jeff Davis





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