Re: Partial index on date column
| От | Tom Lane |
|---|---|
| Тема | Re: Partial index on date column |
| Дата | |
| Msg-id | 27982.1047015549@sss.pgh.pa.us обсуждение исходный текст |
| Ответ на | Re: Partial index on date column ("Christopher Kings-Lynne" <chriskl@familyhealth.com.au>) |
| Список | pgsql-hackers |
"Christopher Kings-Lynne" <chriskl@familyhealth.com.au> writes:
>> Partial-index condition matching is a horribly difficult problem in
>> general, and we only attempt a few limited cases right now.
> Is it worth hard-coding in the IS NOT NULL case?
Damifino. I have no fundamental objection to doing so --- but I'd want
to see some sort of cost-benefit argument showing that it wouldn't be
a net loss on average. It's real easy to blow a few cycles on every
query looking for cases that don't show up often enough to justify the
distributed cost :-(.
It helps a lot if you can put in short-circuits that prevent the
matching work from being done on simple queries. For example, the
parser/rewriter/planner take care to keep track of whether a query
contains any sub-SELECTs, and if you look in the planner you will notice
quite a lot of work that gets short-circuited when there aren't any.
I'm not sure how to make a short-circuit test for this case, however.
regards, tom lane
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