On Thu, Jan 31, 2013 at 3:18 PM, Alvaro Herrera
<alvherre@2ndquadrant.com> wrote:
> Robert Haas escribió:
>> On Thu, Jan 31, 2013 at 2:40 PM, Alvaro Herrera
>> <alvherre@2ndquadrant.com> wrote:
>> > Alvaro Herrera escribió:
>> >
>> >> Okay, here's a patch along these lines. I haven't considered Jim's
>> >> suggestion downthread about discounting dead tuples from relpages; maybe
>> >> we can do that by subtracting the pages attributed to dead ones,
>> >> estimating via tuple density (reltuples/relpages).
>> >
>> > Patch attached.
>>
>> This strikes me as too clever by half. You've introduced the concept
>> of a "Browne strength" (apparently named for Christopher Browne) and
>> yet you haven't even bothered to add a comment explaining the meaning
>> of the term, let along justifying the choice of that formula rather
>> than any other. I don't want to dog this proposal to death, because
>> surely we can do better than the status quo here, but adopting the
>> first formula someone proposed without any analysis of whether it does
>> the right thing cannot possibly be the correct decision process.
>
> My intention was to apply a Nasby correction to Browne Strength and call
> the resulting function Browne' (Browne prime). Does that sound better?
>
> Now seriously, I did experiment a bit with this and it seems to behave
> reasonably. Of course, there might be problems with it, and I don't
> oppose to changing the name. "Vacuum strength" didn't sound so great,
> so I picked the first term that came to mind. It's not like picking
> people's last names to name stuff is a completely new idea; that said,
> it was sort of a joke.
Color me amused :-).
And, when thinking about how strong these things are, just remember,
"smell isn't everything".
I spent 20 minutes at a whiteboard arriving at the "Browne strength",
and I think it's not unreasonable as a usage of the data already
immediately at hand. But it is absolutely just intended as a
strawman proposal, and I'd be pleased to see it get prodded into
something more "prime."
--
When confronted by a difficult problem, solve it by reducing it to the
question, "How would the Lone Ranger handle this?"