Ниже приведено для BigQuery Standard SQL
#standardSQL
WITH puzzle AS (
SELECT 'x1' x, 60 weight, 2620 target UNION ALL
SELECT 'x2', 226, 2620 UNION ALL
SELECT 'x3', 400, 2620 UNION ALL
SELECT 'x4', 554, 2620 UNION ALL
SELECT 'x5', 469, 2620 UNION ALL
SELECT 'x6', 278, 2620
), numbers AS (
SELECT num FROM (
SELECT DIV(ANY_VALUE(target), MIN(weight)) max_num
FROM puzzle
), UNNEST(GENERATE_ARRAY(1, max_num)) num
)
SELECT x1.num x1, x2.num x2, x3.num x3, x4.num x4, x5.num x5, x6.num x6,
(SELECT weight FROM puzzle WHERE x = 'x1') * x1.num +
(SELECT weight FROM puzzle WHERE x = 'x2') * x2.num +
(SELECT weight FROM puzzle WHERE x = 'x3') * x3.num +
(SELECT weight FROM puzzle WHERE x = 'x4') * x4.num +
(SELECT weight FROM puzzle WHERE x = 'x5') * x5.num +
(SELECT weight FROM puzzle WHERE x = 'x6') * x6.num AS result
FROM puzzle z,
numbers x1,
numbers x2,
numbers x3,
numbers x4,
numbers x5,
numbers x6
WHERE x1.num >= x2.num
AND x2.num >= x3.num
AND x3.num >= x4.num
AND x4.num >= x5.num
AND x5.num >= x6.num
ORDER BY ABS(target - result)
LIMIT 1
Результат:
Row x1 x2 x3 x4 x5 x6 result
1 4 3 1 1 1 1 2619
Примечание: вышеупомянутый подход относительно легко может быть принят для динамического c количества переменных параметров