我不太确定为什么您需要在表supported_devices 中添加一个“cid”列。外键只需 id 即可。
话虽如此,这是我用作数据库架构和测试内容的内容:
CREATE DATABASE cats_devs;
USE cats_devs
CREATE TABLE supported_devices_cats(
id INT PRIMARY KEY,
cid INT NULL DEFAULT NULL,
FOREIGN KEY(cid) REFERENCES supported_devices_cats(id),
cat_name VARCHAR(64) NOT NULL,
dt DATETIME NOT NULL DEFAULT NOW()
);
CREATE TABLE supported_devices(
id INT,
FOREIGN KEY(id) REFERENCES supported_devices_cats(id),
device VARCHAR(128) NOT NULL,
dt DATETIME NOT NULL DEFAULT NOW()
);
INSERT INTO supported_devices_cats(id, cid, cat_name) VALUES
(1, NULL, "Disk Drives"), (2, NULL, "Monitors"),
(3, 1, "SSD"), (4, 1, "HDD"),
(5, 2, "TN"), (6, 2, "IPS");
INSERT INTO supported_devices(id, device) VALUES
(4, "Seagate 2TB"), (4, "WD 2TB"),
(3, "Corsair 256GB"), (3, "WD 256GB"),
(5, "ASUS 27in"), (5, "ASUS 21in"),
(6, "Viewsonic 27in"), (6, "LG 24in");
接下来我要做的是 CTE 递归查询(在较新的 MySQL/MariaDB 服务器中可用 - 对于旧版本,需要与 SELF JOIN 等效):
WITH RECURSIVE hier_query(id, cat_id, cat_name, dev_name, dt) AS(
SELECT id, cid, cat_name, CAST(NULL AS VARCHAR(128)), dt
FROM supported_devices_cats
WHERE cid IS NULL
UNION ALL
SELECT supported_devices_cats.id, supported_devices_cats.cid,
supported_devices_cats.cat_name, supported_devices.device, supported_devices_cats.dt
FROM supported_devices_cats
JOIN hier_query
ON hier_query.id = supported_devices_cats.cid
LEFT JOIN supported_devices ON supported_devices.id = supported_devices_cats.id
)
SELECT id, cat_id, cat_name, dev_name, dt
FROM hier_query;
这将产生以下结果,其中包含所有必需的信息:
+------+--------+-------------+----------------+---------------------+
| id | cat_id | cat_name | dev_name | dt |
+------+--------+-------------+----------------+---------------------+
| 1 | NULL | Disk Drives | NULL | 2020-06-25 07:52:39 |
| 2 | NULL | Monitors | NULL | 2020-06-25 07:52:39 |
| 3 | 1 | SSD | Corsair 256GB | 2020-06-25 07:52:39 |
| 3 | 1 | SSD | WD 256GB | 2020-06-25 07:52:39 |
| 4 | 1 | HDD | Seagate 2TB | 2020-06-25 07:52:39 |
| 4 | 1 | HDD | WD 2TB | 2020-06-25 07:52:39 |
| 5 | 2 | TN | ASUS 27in | 2020-06-25 07:52:39 |
| 5 | 2 | TN | ASUS 21in | 2020-06-25 07:52:39 |
| 6 | 2 | IPS | Viewsonic 27in | 2020-06-25 07:52:39 |
| 6 | 2 | IPS | LG 24in | 2020-06-25 07:52:39 |
+------+--------+-------------+----------------+---------------------+
现在在这个结果表中,当 dev_name 为 NULL 时,它是一个父类别。您可以通过这种方式从中获取所有父类别。然后对于每个父类别,当您将 id 与 cat_id 进行比较时,您可以找到子类别。终于可以轻松搞定所有设备了。
老实说,我试图使其成为“全 SQL”解决方案,但我很难按照您想要的方式对该表进行排序。我敢打赌,其他人会做得更好。
附:这是排序问题的快速肮脏技巧。我用“->”分隔符连接子名称之前的主要类别。这样您以后可以轻松拆分它们。
WITH RECURSIVE hier_query(id, cat_id, cat_name, dev_name, dt) AS(
SELECT id, cid, cat_name, CAST(NULL AS VARCHAR(128)), dt
FROM supported_devices_cats
WHERE cid IS NULL
UNION ALL
SELECT supported_devices_cats.id, supported_devices_cats.cid,
CONCAT(hier_query.cat_name, "->", supported_devices_cats.cat_name),
supported_devices.device, supported_devices_cats.dt
FROM supported_devices_cats
JOIN hier_query
ON hier_query.id = supported_devices_cats.cid
LEFT JOIN supported_devices ON supported_devices.id = supported_devices_cats.id
)
SELECT id, cat_id, cat_name, dev_name, dt
FROM hier_query
ORDER BY cat_name;
产生:
+------+--------+------------------+----------------+---------------------+
| id | cat_id | cat_name | dev_name | dt |
+------+--------+------------------+----------------+---------------------+
| 1 | NULL | Disk Drives | NULL | 2020-06-25 07:52:39 |
| 4 | 1 | Disk Drives->HDD | Seagate 2TB | 2020-06-25 07:52:39 |
| 4 | 1 | Disk Drives->HDD | WD 2TB | 2020-06-25 07:52:39 |
| 3 | 1 | Disk Drives->SSD | Corsair 256GB | 2020-06-25 07:52:39 |
| 3 | 1 | Disk Drives->SSD | WD 256GB | 2020-06-25 07:52:39 |
| 2 | NULL | Monitors | NULL | 2020-06-25 07:52:39 |
| 6 | 2 | Monitors->IPS | Viewsonic 27in | 2020-06-25 07:52:39 |
| 6 | 2 | Monitors->IPS | LG 24in | 2020-06-25 07:52:39 |
| 5 | 2 | Monitors->TN | ASUS 27in | 2020-06-25 07:52:39 |
| 5 | 2 | Monitors->TN | ASUS 21in | 2020-06-25 07:52:39 |
+------+--------+------------------+----------------+---------------------+
您甚至可以添加“WHERE cat_id IS NOT NULL”条件来删除两个无用的行。所有其他行都包含您需要的内容。