Re: Additional Statistics Hooks
| От | Tom Lane |
|---|---|
| Тема | Re: Additional Statistics Hooks |
| Дата | |
| Msg-id | 2822.1520894672@sss.pgh.pa.us обсуждение |
| Ответ на | Re: Additional Statistics Hooks (Mat Arye <mat@timescale.com>) |
| Ответы |
Re: Additional Statistics Hooks
Re: Additional Statistics Hooks |
| Список | pgsql-hackers |
Mat Arye <mat@timescale.com> writes:
> So the use-case is an analytical query like
> SELECT date_trunc('hour', time) AS MetricMinuteTs, AVG(value) as avg
> FROM hyper
> WHERE time >= '2001-01-04T00:00:00' AND time <= '2001-01-05T01:00:00'
> GROUP BY MetricMinuteTs
> ORDER BY MetricMinuteTs DESC;
> Right now this query will choose a much-less-efficient GroupAggregate plan
> instead of a HashAggregate. It will choose this because it thinks the
> number of groups
> produced here is 9,000,000 because that's the number of distinct time
> values there are.
> But, because date_trunc "buckets" the values there will be about 24 groups
> (1 for each hour).
While it would certainly be nice to have better behavior for that,
"add a hook so users who can write C can fix it by hand" doesn't seem
like a great solution. On top of the sheer difficulty of writing a
hook function, you'd have the problem that no pre-written hook could
know about all available functions. I think somehow we'd need a way
to add per-function knowledge, perhaps roughly like the protransform
feature.
regards, tom lane
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