4
CREATE TABLE IF NOT EXISTS tablename (u_id INT NOT NULL, a_id MEDIUMINT NOT NULL,s_count MEDIUMINT NOT NULL, weighted FLOAT NOT NULL)ENGINE=INNODB; INSERT INTO tablename (u_id,a_id,s_count,weighted) VALUES (1,1,17,0.0521472392638),(1,2,80,0.245398773006),(1,3,2,0.00613496932515),(1,4,1,0.00306748466258),(1,5,1,0.00306748466258),(1,6,20,0.0613496932515),(1,7,3,0.00920245398773),(1,8,100,0.306748466258),(1,9,100,0.306748466258),(1,10,2,0.00613496932515),(2,1,1,0.00327868852459),(2,2,1,0.00327868852459),(2,3,100,0.327868852459),(2,4,200,0.655737704918),(2,5,1,0.00327868852459),(2,6,1,0.00327868852459),(2,7,0,0.0),(2,8,0,0.0),(2,9,0,0.0),(2,10,1,0.00327868852459),(3,1,15,0.172413793103),(3,2,40,0.459770114943),(3,3,0,0.0),(3,4,0,0.0),(3,5,0,0.0),(3,6,10,0.114942528736),(3,7,1,0.0114942528736),(3,8,20,0.229885057471),(3,9,0,0.0),(3,10,1,0.0114942528736);
내가하고 싶은 일의 간단한 버전으로 다시 만들 수 있습니다
+---------+-----------+------------+------------+ | u_id | a_id | count | weighted | +---------+-----------+------------+------------+ | 1 | 1 | 17 | 0.0521472 | | 1 | 2 | 80 | 0.245399 | | 1 | 3 | 2 | 0.00613497 | | 1 | 4 | 1 | 0.00306748 | | 1 | 5 | 1 | 0.00306748 | | 1 | 6 | 20 | 0.0613497 | | 1 | 7 | 3 | 0.00920245 | | 1 | 8 | 100 | 0.306748 | | 1 | 9 | 100 | 0.306748 | | 1 | 10 | 2 | 0.00613497 | | 2 | 1 | 1 | 0.00327869 | | 2 | 2 | 1 | 0.00327869 | | 2 | 3 | 100 | 0.327869 | | 2 | 4 | 200 | 0.655738 | | 2 | 5 | 1 | 0.00327869 | | 2 | 6 | 1 | 0.00327869 | | 2 | 7 | 0 | 0 | | 2 | 8 | 0 | 0 | | 2 | 9 | 0 | 0 | | 2 | 10 | 1 | 0.00327869 | | 3 | 1 | 15 | 0.172414 | | 3 | 2 | 40 | 0.45977 | | 3 | 3 | 0 | 0 | | 3 | 4 | 0 | 0 | | 3 | 5 | 0 | 0 | | 3 | 6 | 10 | 0.114943 | | 3 | 7 | 1 | 0.0114943 | | 3 | 8 | 20 | 0.229885 | | 3 | 9 | 0 | 0 | | 3 | 10 | 1 | 0.0114943 | +---------+-----------+------------+------------+
처럼
SELECT u_id, SUM(weighted) as total FROM tablename WHERE a_id IN (1,2,3,4,5,6,7,8,9) GROUP BY u_id ORDER BY total DESC;외모 데이터의 테이블이
결과를 얻는다.
+---------+-------------------+ | u_id | total | +---------+-------------------+ | 2 | 0.996721301227808 | | 1 | 0.993865059688687 | | 3 | 0.988505747169256 | +---------+-------------------+는
내가하고 싶은 더 복잡한 버전은 u_id의 수를 기준으로 결과를 무겁게하는 것입니다, 그래서
query 1 SELECT count FROM tablename WHERE u_id = 1
에서 결과를 복용
+-----------+------------+ | a_id | count | +-----------+------------+ | 1 | 17 | | 2 | 80 | | 3 | 2 | | 4 | 1 | | 5 | 1 | | 6 | 20 | | 7 | 3 | | 8 | 100 | | 9 | 100 | | 10 | 2 | +-----------+------------+
것은 다음 될 것이라고 반환 합계를 계산하는 데 사용
+---------+-------------------+
| u_id | total |
+---------+-------------------+
| 1 | 83.15337423 |
| 3 | 65.05747126 |
| 2 | 1.704918033 |
+---------+-------------------+
예 : u_id =3
wo로 계산 내가 단일 쿼리로이 작업을 수행 할 수있는 방법
sum(count value from query 1 * weighting value for u_id = 3 for each a_id)
17 * 0.172413793 =2.931034483 80 * 0.459770115 =36.7816092 2 * 0 =0 1 * 0 =0 1 * 0 =0 20 * 0.114942529 =2.298850575 3 * 0.011494253 =0.034482759 100 * 0.229885057 =22.98850575 100 * 0 =0 2 * 0.011494253 =0.022988506 sums up to 65.05747126수행 할 ULD?
안녕 벤, 나는 합계를 계산하고 싶다 | count u_id = 1 * 가중치 u_id = 1 | 카운트 u_id = 1 * 웨이팅 u_id = 2 | 카운트 u_id = 1 * 가중치 u_id = 3 – Ben
당신의 솔루션에 대한 합계를 생각하십니까 | count u_id = 1 * 가중치 u_id = 1 | 카운트 u_id = 2 * 웨이팅 u_id = 2 | count u_id = 3 * weighting u_id = 3? – Ben
@Ben, 죄송합니다. 이전에 귀하의 질문에 대해 오해했습니다. 이제 어떻게 할 지 보여주기 위해 제 대답을 업데이트했습니다. –