I want to create a table, with each row containing some sort of weight. Then I want to select random values with the probability equal to (weight of that row)/(weight of all rows). For example, having 5 rows with weights 1,2,3,4,5 out of 1000 I'd get approximately 1/15*1000=67 times first row and so on.
The table is to be filled manually. Then I'll take a random value from it. But I want to have an ability to change the probabilities on the filling stage.
I found this nice little algorithm in Quod Libet. You could probably translate it to some procedural SQL.
function WeightedShuffle(list of items with weights):
max_score ← the sum of every item’s weight
choice ← random number in the range [0, max_score)
current ← 0
for each item (i, weight) in items:
current ← current + weight
if current ≥ choice or i is the last item:
return item i
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