Jul 24, 2012; 10:19
Tom W Robinson
Post-processing database query: distill/quantify subcategories
Hello,
I have a product database (FMSA 11 + Lasso 9.x). I have a few ideas on how
to proceed, but am looking for guidance on the most efficient approach to
doing the following.
Query returns product information.
Using records_array I have created an array and distilled to unique elements
(manufactures) and sorted
I end up with:
Mfg A
Mfg B
Mfg C
which will end up being links to refine the query
I want to be able to quantify each... ie Mfg A (2), Mfg B(8), Mfg C (3) so
the the browser has and idea of the breakdown of the original dataset.
Seems to me, that if I was able to sort that original records_array by the
particular field on the table (I know I could do this in the inline, but
want that sort to be by relevance) I would do less looping of the dataset.
Is the approach to use records /records to create the one-dimensional array
from the records_array, sort the array, loop through the array to quantify
and make a unique element array?
I want to do this for a few other subcategories of the records_array as well
and so looking for the most efficient approach.
Any other approaches database/client-side would be appreciated.
Tom
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Jul 25, 2012; 18:48
Tami Williams
Re: Post-processing database query: distill/quantify subcategories