Re: Introducing floating point cast into filter drastically changes row estimate

On Wed, Oct 24, 2012 at 5:40 PM, Merlin Moncure <mmoncure@gmail.com> wrote:
> On Wed, Oct 24, 2012 at 3:51 PM, Merlin Moncure <mmoncure@gmail.com> wrote:
>> On Wed, Oct 24, 2012 at 3:33 PM, Tom Lane <tgl@sss.pgh.pa.us> wrote:
>>> Merlin Moncure <mmoncure@gmail.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.

Apologies for blabbing, but I was wondering if a solution to this
problem might be to have the planner identify low cost/high impact
scenarios that would qualify for simply running some of the stored
statistical values through qualifying stable expressions, particularly
when the input variables are constant or single sourced from a table.
 Over the years, the planner has been getting very precise in terms of
algorithm choice and this is making the costs of statistics misses
increasingly dangerous, a trend which I think has been reflected by
regression reports on -performance.

merlin