I have a generic question that I will try to explain using an example.
Say I have a table with the fields: \"id\", \"name\", \"category\", \"appearances\" and \"rati
Following the two answers I received (none of which was complete so I wrote my own), what I eventually did is as follows:
UPDATE Table AS target
INNER JOIN
(
select category, appearances_sum
from Table T inner join (
select category as cat, sum(appearances) as appearances_sum
from Table
group by cat
) as agg
where T.category = agg.cat
group by category
) as source
ON target.category = source.category
SET target.probability = target.appearances / source.appearances_sum
It works very quickly. I also tried with correlated subquery but it was much slower (orders of magnitude), so I'm sticking with the join.