SELECT user_id,
SUM(COALESCE(point_points, 0)) AS total_points,
SUM(
CASE
WHEN point_date > '$this_month'
THEN point_points
ELSE 0
END) AS month_points,
COUNT(DISTINCT c_id) AS num_comments,
COUNT(DISTINCT rant_id) AS live_submissions
FROM users
LEFT JOIN points
ON users.user_id = points.point_userid
LEFT JOIN comments
ON
(
c_userid = user_id
)
LEFT JOIN rants
ON
(
rant_poster = user_id
AND rant_status = 1
)
WHERE user_id = $id
GROUP BY user_id
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基本上live_submissions和num_comments可变显示正确的结果,而total_points与month_points显示器的产品month_points/total_points,live_submissions和num_comments.知道为什么会这样吗?
Bil*_*win 10
这被称为笛卡尔积.将表连接在一起时,默认结果是连接条件为true的每个行的排列.您使用JOIN条件来限制这些排列.
但是,由于您要连接多个表users,结果包括每个匹配表的每个排列.例如,每个匹配的行在每个匹配的行中points重复comments,并且每个匹配的行再次相乘,重复每个匹配的行rants.
您可以COUNT(DISTINCT c_id)像正在做的那样对此进行部分补偿,但这DISTINCT只是因为每个行有多行才有必要c_id.除非将其应用于唯一值,否则它不起作用.此补救措施不适用于SUM()表达式.
基本上,您试图在一个查询中进行太多计算.您需要将其拆分为单独的查询,以使其可靠.然后你也可以摆脱DISTINCT修饰符.
SELECT u.user_id, SUM(COALESCE(p.point_points, 0)) AS total_points,
SUM( CASE WHEN p.point_date > '$this_month' THEN p.point_points ELSE 0 END ) AS month_points
FROM users u LEFT JOIN points p
ON u.user_id = p.point_userid
WHERE u.user_id = $id
GROUP BY u.user_id;
SELECT user_id, COUNT(c.c_id) as num_comments,
FROM users u LEFT JOIN comments c
ON (c.c_userid = u.user_id)
WHERE u.user_id = $id
GROUP BY u.user_id;
SELECT u.user_id, COUNT(r.rant_id) as live_submissions
FROM users u LEFT JOIN rants r
ON (r.rant_poster = u.user_id AND r.rant_status = 1)
WHERE u.user_id = $id
GROUP BY u.user_id;
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您不应该尝试在单个查询中执行所有这三个操作.