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Re: [HACKERS] Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)

От: Jim C. Nasby
Тема: Re: [HACKERS] Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)
Дата: ,
Msg-id: 20050407214015.GT93835@decibel.org
(см: обсуждение, исходный текст)
Ответ на: Re: [HACKERS] Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Tom Lane)
Список: pgsql-performance

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Plan for relatively simple query seems to be very inefficient  (Arjen van der Meijden, )
 Re: Plan for relatively simple query seems to be very inefficient  (Steve Atkins, )
  Re: Plan for relatively simple query seems to be very inefficient  (Arjen van der Meijden, )
 Re: Plan for relatively simple query seems to be very inefficient  (Tom Lane, )
  Re: Plan for relatively simple query seems to be very inefficient  (Arjen van der Meijden, )
   Re: Plan for relatively simple query seems to be very inefficient  (Tom Lane, )
    Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Tom Lane, )
     Re: [HACKERS] Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  ("Jim C. Nasby", )
      Re: [HACKERS] Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Tom Lane, )
       Re: [HACKERS] Recognizing range constraints (was Re: Plan  (John A Meinel, )
        Re: [HACKERS] Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Tom Lane, )
       Re: [HACKERS] Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  ("Jim C. Nasby", )
     Re: Recognizing range constraints (was Re: Plan for  (Simon Riggs, )
     Re: Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Bruno Wolff III, )
      Re: Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Tom Lane, )
       Re: Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Mischa, )
        Re: Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (Tom Lane, )
         Re: Recognizing range constraints (was Re: Plan for relatively simple query seems to be very inefficient)  (, )
 Re: Plan for relatively simple query seems to be very inefficient  ("Dave Held", )
  Re: Plan for relatively simple query seems to be very inefficient  (Tom Lane, )
  Re: Plan for relatively simple query seems to be very inefficient  (Tom Lane, )
 Re: Plan for relatively simple query seems to be very inefficient  (Mischa, ) 
On Wed, Apr 06, 2005 at 06:35:10PM -0400, Tom Lane wrote:
> "Jim C. Nasby" <> writes:
> > On Wed, Apr 06, 2005 at 06:09:37PM -0400, Tom Lane wrote:
> >> Can anyone suggest a more general rule?  Do we need for example to
> >> consider whether the relation membership is the same in two clauses
> >> that might be opposite sides of a range restriction?  It seems like
> >>
> >> a.x > b.y AND a.x < b.z
>
> > In a case like this, you could actually look at the  data in b and see
> > what the average range size is.
>
> Not with the current statistics --- you'd need some kind of cross-column
> statistics involving both y and z.  (That is, I doubt it would be
> helpful to estimate the average range width by taking the difference of
> independently-calculated mean values of y and z ...)  But yeah, in
> principle it would be possible to make a non-default estimate.

Actually, it might be possible to take a SWAG at it using the histogram
and correlation stats.

You know... since getting universally useful cross-platform stats seems
to be pretty pie-in-the-sky, would it be possible to generate more
complex stats on the fly from a sampling of a table? If you're looking
at a fairly sizeable table ISTM it would be worth sampling the rows on
10 or 20 random pages to see what you get. In this case, you'd want to
know the average difference between two fields. Other queries might want
something different.
--
Jim C. Nasby, Database Consultant               
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