From: | Merlin Moncure <mmoncure(at)gmail(dot)com> |
---|---|
To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | pgsql-bugs <pgsql-bugs(at)postgresql(dot)org> |
Subject: | Re: Introducing floating point cast into filter drastically changes row estimate |
Date: | 2012-10-24 22:40:36 |
Message-ID: | CAHyXU0ypsKL+UiwsR6uLhPpQPuOS_a+BnNcTgmAQ5Vh1Q+aP+w@mail.gmail.com |
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Lists: | pgsql-bugs |
On Wed, Oct 24, 2012 at 3:51 PM, Merlin Moncure <mmoncure(at)gmail(dot)com> wrote:
> On Wed, Oct 24, 2012 at 3:33 PM, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
>> Merlin Moncure <mmoncure(at)gmail(dot)com> writes:
>>> Yeah -- I have a case where a large number of joins are happening that
>>> have a lot of filtering based on expressions and things like that.
>>
>> Might be worth your while to install some indexes on those expressions,
>> if only to trigger collection of stats about them.
>
> Not practical -- these expressions are all about 'outlier culling'.
> It's just wasteful to materialize indexes for stastical purposes only.
> Anyways, in this case, I just refactored the query into a CTE.
>
> Hm -- what if you could flag a table dependent expression for being
> interesting for statistics? Or what about planner hints for boolean
> expressions (ducks) ... 'likely(boolexpr)'?
By the way, just in case it wasn't obvious, that was a very much
tongue-in-cheek suggestion. I was just hoping that the final
disposition of this problem isn't: 'there are some queries that are
impossible to plan correctly'. Anyways, thanks for the help.
merlin
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