我有一些表格,如下图所示。类别通过parent_id具有层次结构树。 CategoryProducts在Category和Product之间建立了多对多关系。一种产品可以属于不同的类别。例如,“红球”可以放在“运动”和“运动”的子类别“足球”中。
如何用子类别中的产品数量计算每个类别中的产品数量?复制并不重要,例如,“体育”类别可以包含两个“红球”(一个属于自己的类别,一个属于子类别“足球”)。
表关系:
结果表:
以下是无法正常运行的sql脚本:
with recursive category_tree as (
select c.id , c.name , c.parent_id , count(cp.id) as amo
from temp_category_2 c
join temp_category_products cp on cp.category_id = c.id
where c.parent_id = null
group by c.id
union
select c2.id , c2.name , c2.parent_id , (select count(cp.id) from temp_category_products cp where cp.category_id = c2.id) as amo
from temp_category_2 c2
join category_tree ct on ct.id = c2.parent_id
)
select cat.id , cat.parent_id,
count(cp.id) + coalesce((
select sum(ct.amo)
from category_tree ct
where ct.parent_id = cat.id
group by ct.parent_id),0)as amount
from temp_category_2 cat
join temp_category_products cp on cp.category_id = cat.id
group by cat.id , cat.parent_id
;
表类别:
id | name | parent_id | product_quantity
----+----------+-----------+------------------
2 | a | 1 | 3
3 | s | 1 | 3
4 | d | 2 | 3
5 | f | 2 | 4
6 | g | 3 | 2
1 | main | | 0
(6 rows)
TABLE产品:
id | name
----+---------
1 | example
2 | example
3 | example
...
(15 rows)
表category_products
id | category_id | product_id
----+-------------+------------
1 | 6 | 1
2 | 6 | 2
3 | 5 | 3
4 | 5 | 4
5 | 5 | 5
6 | 5 | 6
7 | 4 | 7
8 | 4 | 8
9 | 4 | 9
10 | 3 | 10
11 | 3 | 11
12 | 3 | 12
13 | 2 | 13
14 | 2 | 14
15 | 2 | 15
(15 rows)
我的查询结果(错误的结果):
id | parent_id | amount
----+-----------+--------
3 | 1 | 3
5 | 2 | 4
4 | 2 | 3
6 | 3 | 2
2 | 1 | 3
(5 rows)
正确的结果应该是:
id | parent_id | amount
----+-----------+--------
1 | | 15
2 | 1 | 10
3 | 1 | 5
4 | 2 | 3
5 | 2 | 4
6 | 3 | 2
(6 rows)
答案 0 :(得分:0)
经过一番努力,我找到了答案。 this blog上显示了一个类似的示例。
正确的sql是:
with recursive cte(CategoryId, ParentCategoryId, c)
AS (SELECT c1.id,
c1.parent_id ,
(SELECT COUNT(*)
FROM (SELECT DISTINCT
product_id
FROM temp_category_products AS tcp
WHERE tcp.category_id = c1.id
) AS t1
) AS c
FROM temp_category AS c1
UNION ALL
SELECT c2.id,
c2.parent_id ,
d.c
FROM temp_category c2
INNER JOIN cte d ON c2.id = d.ParentCategoryId
)
SELECT cte.CategoryId,
cte.ParentCategoryId,
SUM(c) AS ProductCount
FROM cte
GROUP BY cte.CategoryId,
cte.ParentCategoryId;