我的案子看起来很简单,但是我正在弄乱它。.
我有4个表:“用户”,“宏”,“类别”,以及另一个将用户与类别相关联的表。一个宏有很多类别。
我需要的是一个基于宏的查询,可获取用户以及用户不在其中的类别。
示例:我有一个名为VEICULES的宏,其类别为CAR,TRUCK和Motorcycle。用户José属于CAR类别,用户Julio属于CAR和TRUCK类别,因此我的查询应返回:
José | TRUCK,Motorcycle
Julio | Motorcycle
表格: prd_users
id | name | Email
---------------------------
1 | José | jose@email.com
2 | Júlio | julio@email.com
3 | André | andre@email.com
cat_macros
macro_id | macro_name
-----------------------
1 | Veicules |
cat_categories
category_id | category_name | macro_id
---------------------------------------
1 | Cars | 1
2 | Trucks | 1
3 | Motorcycles | 1
prd_tr_rabbit_catg
id | category_id | tasker_user_id
---------------------------------------
1 | 1 | 1
2 | 1 | 2
3 | 2 | 2
我坚持只获取用户已经所在的类别。.
SELECT prd_users.id, prd_users.name,
prd_users.email,cat_macros.macro_name as macro,
GROUP_CONCAT(cat_categories.category_name SEPARATOR ', ') as in_categories
FROM prd_users
INNER JOIN prd_tr_rabbit_catg ON prd_tr_rabbit_catg.tasker_user_id = prd_users.id
INNER JOIN cat_categories ON cat_categories.category_id = prd_tr_rabbit_catg.category_id
INNER JOIN cat_macros ON cat_macros.macro_id = cat_categories.macro_id
WHERE cat_macros.macro_id = '45'
GROUP BY prd_users.id;
答案 0 :(得分:1)
要解决此问题,必须为给定的宏类别创建一个包含所有类别的所有用户的列表。可以使用CROSS JOIN
:
SELECT *
FROM prd_users u
CROSS JOIN (SELECT m.macro_id, m.macro_name, c.category_name, c.category_id
FROM cat_macros m
JOIN cat_categories c ON c.macro_id = m.macro_id) c
然后可以LEFT JOIN
到prd_tr_rabbit_catg
表中,并通过选择prd_tr_rabbit_catg
表中没有匹配条目的那些行,我们可以找到不匹配的用户有给定类别的条目:
SELECT c.macro_name, u.id AS user_id, u.name, u.Email, GROUP_CONCAT(c.category_name) AS missing_cats
FROM prd_users u
CROSS JOIN (SELECT m.macro_id, m.macro_name, c.category_name, c.category_id
FROM cat_macros m
JOIN cat_categories c ON c.macro_id = m.macro_id) c
LEFT JOIN prd_tr_rabbit_catg x ON x.tasker_user_id = u.id AND x.category_id = c.category_id
WHERE x.id IS NULL
AND c.macro_id = 1
GROUP BY c.macro_name, u.id
对于您的示例数据,它给出:
macro_name user_id name Email missing_cats
Veicules 1 José jose@email.com Motorcycles,Trucks
Veicules 2 Júlio julio@email.com Motorcycles
Veicules 3 André andre@email.com Cars,Motorcycles,Trucks
更新
要排除没有任何类别的用户,请添加一个HAVING
子句:
HAVING COUNT(*) < (SELECT COUNT(*) FROM cat_categories WHERE macro_id = 1)