如何将 3 tables 合并为一个，这些 tables 具有第四个 table 的外键？
How to join 3 tables into one with these tables having foreign key to a fourth table?
套件
+------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra +------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment | protocol | varchar(100) | YES | UNI | NULL | | detail_service | varchar(120) | YES | | NULL | | date_conclusion | date | YES | | NULL | | resp_key | varchar(10) | YES | MUL | NULL | |------------------+--------------+------+-----+---------+----------------+
文档
+---------------------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------------+-------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL |auto_increment | employee_key | varchar(10) | YES | MUL | NULL | | doc_total | int(11) | YES | | NULL | | date_doc | date | YES | | NULL | +---------------------+-------------+------+-----+---------+----------------+
srv
+-------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra +-------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment | employee_key | varchar(10) | YES | MUL | NULL | | srv_total | int(11) | YES | | NULL | | date_srv | date | YES | | NULL | +-------------------+--------------+------+-----+---------+----------------+
key_e
+-------------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+--------------+------+-----+---------+-------+
| key | varchar(10) | NO | PRI | NULL | |
| login_employee | varchar(100) | YES | MUL | NULL | |
+-------------------+--------------+------+-----+---------+-------+
员工
+------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------+--------------+------+-----+---------+-------+
| login | varchar(100) | NO | PRI | NULL | |
| name | varchar(100) | YES | | NULL | |
+------------+--------------+------+-----+---------+-------+
我有这 5 张桌子。我想要与这些字段类似的结果：
employee.login, employee.name, SUM(kit.detail_service LIKE '%Deal%') AS 'Deal', SUM(kit.detail_service LIKE '%Not Deal%') AS 'Not Deal', SUM(kit.detail_service LIKE '%Postponed%') AS 'Postponed',
SUM(doc.doc_total) AS 'DOC', SUM(srv.srv_cheque) AS 'SRV'
key_e.k：employee.login 的外键
kit.resp_key：key_e 的外键
doc.employee_key/srv.employee_key：key_e 的外键（这两个是相等的，但与 kit.resp_key 不同）
我的查询：
SELECT
e.login,
e.name,
(SELECT SUM(k.detail_service LIKE '%Deal%') FROM kit k WHERE k.resp_key=key_e.key) AS 'Deal',
(SELECT SUM(k.detail_service LIKE '%Not Deal%') FROM kit k WHERE k.resp_key=key_e.key) AS 'Not Deal',
(SELECT SUM(k.detail_service LIKE '%Postponed%') FROM kit k WHERE k.resp_key=key_e.key) AS 'Postponed',
(SELECT SUM(doc_total) FROM doc WHERE doc.employee_key=key_e.key) AS 'DOC',
(SELECT SUM(srv_total) FROM srv WHERE srv.employee_key=key_e.key) AS 'SRV'
FROM
employee e
INNER JOIN key_e ON
e.login = key_e.login_employee
GROUP BY e.login, key_e.key
========================================
我所做的查询 returns 几乎所有我想要的，除了行是重复的。由于KIT的key与SRV和DOC的key不同，结果重复。我不知道如何将 SRV 和 DOC 的密钥与 KIT 的密钥连接起来。结构有点乱，也许使用 'join' 会解决它，但我不知道如何。我使用 'join' 而不是这个内部 select 做了一些查询，但到目前为止没有成功
我认为您需要两个级别的聚合。特别是，您希望在 进行连接之前 进行聚合。然后你想在登录级别聚合：
SELECT e.login, e.name,
SUM(kit.num_Deal) as num_Deal,
SUM(kit.num_not_deal) as num_not_deal,
SUM(kit.num_Postponed) as num_Postponed,
SUM(doc_total) as doc_total,
SUM(srv_total) as srv_total
FROM employee e INNER JOIN
key_e ON
ON e.login = key_e.login_employee LEFT JOIN
(SELECT doc.employee_key, SUM(doc.doc_total) as doc_total
FROM doc
GROUP BY doc.employee_key
) doc
ON doc.employee_key = key_e.key LEFT JOIN
(SELECT srv.employee_key, SUM(srv.srv_total) as srv_total
FROM srv
GROUP BY srv.employee_key
) srv
ON srv.employee_key = key_e.key LEFT JOIN
(SELECT kit.employee_key,
SUM(k.detail_service LIKE '%Deal%') as num_Deal,
SUM(k.detail_service LIKE '%Not Deal%') as num_not_deal,
SUM(k.detail_service LIKE '%Postponed%') as Postponed
FROM kit k
GROUP BY kit.employee_key
) kit
ON kit.resp_key = key_e.key
GROUP BY e.login, e.name
套件
+------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra +------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment | protocol | varchar(100) | YES | UNI | NULL | | detail_service | varchar(120) | YES | | NULL | | date_conclusion | date | YES | | NULL | | resp_key | varchar(10) | YES | MUL | NULL | |------------------+--------------+------+-----+---------+----------------+
文档
+---------------------+-------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra |
+---------------------+-------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL |auto_increment | employee_key | varchar(10) | YES | MUL | NULL | | doc_total | int(11) | YES | | NULL | | date_doc | date | YES | | NULL | +---------------------+-------------+------+-----+---------+----------------+
srv
+-------------------+--------------+------+-----+---------+----------------+
| Field | Type | Null | Key | Default | Extra +-------------------+--------------+------+-----+---------+----------------+
| id | int(11) | NO | PRI | NULL | auto_increment | employee_key | varchar(10) | YES | MUL | NULL | | srv_total | int(11) | YES | | NULL | | date_srv | date | YES | | NULL | +-------------------+--------------+------+-----+---------+----------------+
key_e
+-------------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+-------------------+--------------+------+-----+---------+-------+
| key | varchar(10) | NO | PRI | NULL | |
| login_employee | varchar(100) | YES | MUL | NULL | |
+-------------------+--------------+------+-----+---------+-------+
员工
+------------+--------------+------+-----+---------+-------+
| Field | Type | Null | Key | Default | Extra |
+------------+--------------+------+-----+---------+-------+
| login | varchar(100) | NO | PRI | NULL | |
| name | varchar(100) | YES | | NULL | |
+------------+--------------+------+-----+---------+-------+
我有这 5 张桌子。我想要与这些字段类似的结果：
employee.login, employee.name, SUM(kit.detail_service LIKE '%Deal%') AS 'Deal', SUM(kit.detail_service LIKE '%Not Deal%') AS 'Not Deal', SUM(kit.detail_service LIKE '%Postponed%') AS 'Postponed',
SUM(doc.doc_total) AS 'DOC', SUM(srv.srv_cheque) AS 'SRV'
key_e.k：employee.login 的外键 kit.resp_key：key_e 的外键 doc.employee_key/srv.employee_key：key_e 的外键（这两个是相等的，但与 kit.resp_key 不同）
我的查询：
SELECT
e.login,
e.name,
(SELECT SUM(k.detail_service LIKE '%Deal%') FROM kit k WHERE k.resp_key=key_e.key) AS 'Deal',
(SELECT SUM(k.detail_service LIKE '%Not Deal%') FROM kit k WHERE k.resp_key=key_e.key) AS 'Not Deal',
(SELECT SUM(k.detail_service LIKE '%Postponed%') FROM kit k WHERE k.resp_key=key_e.key) AS 'Postponed',
(SELECT SUM(doc_total) FROM doc WHERE doc.employee_key=key_e.key) AS 'DOC',
(SELECT SUM(srv_total) FROM srv WHERE srv.employee_key=key_e.key) AS 'SRV'
FROM
employee e
INNER JOIN key_e ON
e.login = key_e.login_employee
GROUP BY e.login, key_e.key
========================================
我所做的查询 returns 几乎所有我想要的，除了行是重复的。由于KIT的key与SRV和DOC的key不同，结果重复。我不知道如何将 SRV 和 DOC 的密钥与 KIT 的密钥连接起来。结构有点乱，也许使用 'join' 会解决它，但我不知道如何。我使用 'join' 而不是这个内部 select 做了一些查询，但到目前为止没有成功
我认为您需要两个级别的聚合。特别是，您希望在 进行连接之前 进行聚合。然后你想在登录级别聚合：
SELECT e.login, e.name,
SUM(kit.num_Deal) as num_Deal,
SUM(kit.num_not_deal) as num_not_deal,
SUM(kit.num_Postponed) as num_Postponed,
SUM(doc_total) as doc_total,
SUM(srv_total) as srv_total
FROM employee e INNER JOIN
key_e ON
ON e.login = key_e.login_employee LEFT JOIN
(SELECT doc.employee_key, SUM(doc.doc_total) as doc_total
FROM doc
GROUP BY doc.employee_key
) doc
ON doc.employee_key = key_e.key LEFT JOIN
(SELECT srv.employee_key, SUM(srv.srv_total) as srv_total
FROM srv
GROUP BY srv.employee_key
) srv
ON srv.employee_key = key_e.key LEFT JOIN
(SELECT kit.employee_key,
SUM(k.detail_service LIKE '%Deal%') as num_Deal,
SUM(k.detail_service LIKE '%Not Deal%') as num_not_deal,
SUM(k.detail_service LIKE '%Postponed%') as Postponed
FROM kit k
GROUP BY kit.employee_key
) kit
ON kit.resp_key = key_e.key
GROUP BY e.login, e.name