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
The best possible scenario (if i understand your question properly) is to setup your table as you normally would and then add two columns both INT's.
Column 1: Weight - This column would hold your weight value going from -X to +X, X being the highest value you want to have as a weight (IE: X=100, -100 to 100). This value is populated to give the row an actual weight and increase or decrease the probability of it coming up.
Column 2: *Count** - This column would hold the count of how many times this row has come up, this column is needed only if you want to use fair weighting. Fair weighting prevents one row from always showing up. (IE: if you have one row weighted at 100 and another at 2 the row with 100 will always show up, this column will allow weight 2 to be more 'valueable' as you get more weight 100 results). This column should be incremented by 1 each time a row result is pulled but you can make the logic more advanced later so it adds the weight etc.
Logic: - Its really simple now, your query simply has to request all rows as you normally would then make an extra select that (you can change the logic here to whatever you want) takes the weights and subtracts the count and order by that column.
The end result should be a table where you will get your weights appearing more often until a certain point where the system will evenly distribute itself out (leave out column 2) and you will have a system that will always return the same weighted order unless you offset the base of the query (IE: LIMIT [RANDOM NUMBER], [NUMBER OF ROWS TO RETURN]
)