所以我有一个问题不应该太难回答,但无论出于何种原因,我都无法得到它。我需要总结两个不同表的成本。我尝试过一次长连接,但数字本身出错了。我能得到正确数字的唯一方法是进行两次查询并将它们加在一起。但是,我希望它们显示在一个ID下。
SELECT s.storeId, s.street, s.city, s.state, s.zipcode, SUM(p.cost)
FROM store s
JOIN video v ON s.storeId=v.storeId
JOIN previousrental p ON v.videoid=p.videoid
GROUP BY s.storeId
UNION
SELECT s.storeId, s.street, s.city, s.state, s.zipcode, SUM(r.cost)
FROM store s
JOIN video v ON s.storeId=v.storeId
JOIN rental r ON v.videoid=r.videoid
GROUP BY s.storeId
答案 0 :(得分:1)
试试这个:
SELECT s.storeId, s.street, s.city, s.state, s.zipcode, SUM(p.cost)
FROM store s
INNER JOIN video v ON s.storeId=v.storeId
INNER JOIN (SELECT p.videoid, SUM(p.cost) cost
FROM previousrental p
GROUP BY p.videoid
UNION
SELECT r.videoid, SUM(r.cost) cost
FROM rental r
GROUP BY r.videoid
) AS p ON v.videoid=p.videoid
GROUP BY s.storeId;
或强>
SELECT s.storeId, s.street, s.city, s.state, s.zipcode,
SUM(ISNULL(p.cost, 0) + ISNULL(r.cosr, 0))
FROM store s
INNER JOIN video v ON s.storeId = v.storeId
LEFT OUTER JOIN (SELECT videoid, SUM(cost) cost FROM previousrental GROUP BY videoid) p ON v.videoid = p.videoid
LEFT OUTER JOIN (SELECT videoid, SUM(cost) cost FROM rental GROUP BY videoid) r ON v.videoid = r.videoid
GROUP BY s.storeId;
答案 1 :(得分:0)
一种选择是将结果放在子查询中:
SELECT
storeId, street, city, state, zipcode, SUM(cost)
FROM
(SELECT s.storeId, s.street, s.city, s.state, s.zipcode, SUM(p.cost) cost
FROM store s
JOIN video v ON s.storeId = v.storeId
JOIN previousrental p ON v.videoid = p.videoid
GROUP BY s.storeId
UNION
SELECT s.storeId, s.street, s.city, s.state, s.zipcode, SUM(r.cost)
FROM store s
JOIN video v ON s.storeId = v.storeId
JOIN rental r ON v.videoid = r.videoid
GROUP BY s.storeId
) T
GROUP BY storeId
答案 2 :(得分:0)
您可以将联合包装到派生表中,并对其进行推理:
SELECT x.storeId, x.street, x.city, x.state, x.zipcode, SUM(x.cost)
FROM
(
SELECT s.storeId, s.street, s.city, s.state, s.zipcode, p.cost
FROM store s
JOIN video v ON s.storeId=v.storeId
JOIN previousrental p ON v.videoid=p.videoid
UNION
SELECT s.storeId, s.street, s.city, s.state, s.zipcode, r.cost
FROM store s
JOIN video v ON s.storeId=v.storeId
JOIN rental r ON v.videoid=r.videoid
) x
GROUP BY x.storeId, x.street, x.city, x.state, x.zipcode;
请记住按选择中的所有非聚合列进行分组,即使它们是相关的!