我希望通过示例找到匹配的朋友(城市|年龄|性别|等)
用户选择从表单和html选择
中查找朋友年龄(22至36岁之间) 性别女 ) 城市(a,b,c)
我的桌子像
---------------------------------------------
member_id | member_key | member_value
---------------------------------------------
2 | city | a
---------------------------------------------
2 | gender | female
---------------------------------------------
2 | age | 20
---------------------------------------------
2 | degree | 5
---------------------------------------------
3 | city | x
---------------------------------------------
3 | gender | male
---------------------------------------------
3 | age | 25
---------------------------------------------
3 | degree | 3
---------------------------------------------
4 | city | a
---------------------------------------------
4 | gender | female
---------------------------------------------
4 | age | 26
---------------------------------------------
4 | degree | 3
---------------------------------------------
,我希望结果像这样
----------------------
member_id | match_count
----------------------
4 | 3
----------------------
2 | 2
----------------------
3 | 1
我尝试了这样的查询,但没有工作
SELECT `member_id`, `member_key`, SUM(
CASE `member_key`
WHEN ( "age" AND `member_value` BETWEEN 22 AND 36 )
THEN 1
WHEN ( "city" and `member_value` IN ("a","b","c") )
THEN 1
WHEN ( "gender" and `member_value` = "male" )
THEN 1
ELSE 0
END ) AS match_count
FROM members_info
我找到了这个解决方案,它看起来不错,但性能:(
SELECT member_id,concat_ws(",",member_key) as match_in,count(member_id) as match_count
FROM members_info WHERE
( member_key = "age" AND member_value BETWEEN 22 AND 36) OR
( member_key = "city" AND member_value IN ('a', 'b', 'c') ) OR
( member_key = "gender" AND member_value = "female" )
GROUP BY member_id
答案 0 :(得分:0)
现在我已经明白了你想要完成的事情。 这是另一种可能更快的方式。我希望它顺利运行:)
SELECT T.member_id, COUNT(*) AS affinity
FROM
(SELECT member_id
FROM members_info
WHERE member_key = 'age' AND member_value BETWEEN 22 AND 36
UNION
SELECT member_id
FROM members_info
WHERE member_key = 'city' AND member_value IN ('a', 'b', 'c')
UNION
SELECT member_id
FROM members_info
WHERE member_key = 'gender' AND member_value = 'female') AS T
GROUP BY T.member_id