Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
- From: -CELKO- <jcelko212@xxxxxxxxxxxxx>
- Date: 3 May 2007 05:58:47 -0700
Cimode is arguing that as long as it works, one query is as good as
another. If we were in a procedural language, Cimode would be saying
"Bubble sort, Quicksort! what's the difference?"
Selzer is arguing that the complexity of one query can be higher than
another -- algorithmic complexity. If we were in a procedural
language, Selzer would be saying "Bubble sort is O(n^2) and Quicksort
is O(n ln2 (n)), that's the difference!"
Selzer is right. Complexity happens to effect execution times, but it
is more abstract than just reading a stop watch. At some point, you
cannot throw hardware at a problem and need to use another tool.
.., so I had to improvise in order to implement a transition constraint.<<
I have an article in www. dbazine.com on implementing transition
constraints with auxiliary tables and DRI actions. No need for
triggers.
.
- References:
- Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
- From: Cimode
- Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
- From: Brian Selzer
- Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
- From: Cimode
- Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
- From: Brian Selzer
- Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
- From: Cimode
- Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
- From: Brian Selzer
- Re: A new proof of the superiority of set oriented approaches: numerical/time serie linear interpolation
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