假设我有一个类别层次结构如下:
id | name | parent_id
---+------------+-----------
1 | Computers |
---+------------+-----------
2 | Laptops | 1
---+------------+-----------
3 | Desktops | 1
---+------------+-----------
4 | Big | 2
---+------------+-----------
5 | Small | 2
---+------------+-----------
4 | Big | 3
---+------------+-----------
5 | Small | 3
现在,假设某人给了我输入['Computers', 'Laptops', 'Small']
。 Postgres查询层次结构并得出正确的最终类别(例如id 5)的最佳方法是什么?
我知道你可以使用递归CTE来遍历树,但是将输入数组参数化为查询的最佳方法是什么?
以下或多或少的工作,但感觉真的低于标准,因为你必须拆分参数数组:
WITH RECURSIVE path(n, id, name, parent_id) AS (
SELECT
1, c.id, c.name, c.parent_id
FROM
categories c
WHERE c.name = 'Computers' AND parent_id IS NULL
UNION ALL
SELECT n+1, c.id, c.name, c.parent_id
FROM categories c,
(SELECT * FROM unnest(ARRAY['Laptops', 'Small']) WITH ORDINALITY np(name, m)) np,
path p
WHERE c.parent_id = p.id AND np.m = n AND np.name = c.name
)
SELECT * FROM path;
答案 0 :(得分:1)
CTE应如下所示:
WITH RECURSIVE search AS (
SELECT ARRAY['Computers', 'Laptops', 'Small'] AS terms
), path (n, id, name, parent_id) AS (
SELECT 1, id, name, parent_id
FROM categories, search
WHERE name = terms[1]
UNION
SELECT p.n+1, c.id, c.name, c.parent_id
FROM categories c, path p, search s
WHERE c.parent_id = p.id
AND c.name = (s.terms)[p.n+1]
)
SELECT * FROM path;
巧妙的是,您只需指定一次数组,然后CTE的其他项就会遍历数组,无论路径有多长。没有必要的替代品。请注意,这也适用于部分树:['桌面'大']将很好地产生正确的路径(显然,不包括'计算机')。 / p>