I am working on a simple problem and wanted to solve it using SQL. I am having 3 tables Category, Item & a relational table CategoryItem. I need to return count of items per category but the twist is Categories are arranged in Parent-Child relationships and the count of items in child categories should be added to the count in its parent Category. Please consider the sample data below and the expected resultset using SQL.
Id Name ParentCategoryId
1 Category1 Null
2 Category1.1 1
3 Category2.1 2
4 Category1.2 1
5 Category3.1 3
ID CateoryId ItemId
1 5 1
2 4 2
3 5 2
4 3 1
5 2 3
6 1 1
7 3 2
Result:
CategoryNAme Count
Category1 7
Category1.1 5
Category2.1 4
Category1.2 1
Category3.1 2
I can do it in my business layer but performance its not optimal because of size of data. I am hoping if I can do it in data layer, I would be able to improve performance greatly.
Thanks in Advance for your reply
One thing worth noting is that this query will go truly recursively, that is – in a depth-first order. The “recursive” WITH clause in PostgreSQL and (by default) in Oracle traverse the structure in a breadth-first order. As you can see, understanding the concept of the SQL tree structure may save some of our precious time (and a few lines of code).
Take nothing and produce something: Recursion is achieved by WITH statement, in SQL jargon called Common Table Expression (CTE). It allows to name the result and reference it within other queries sometime later. Here is a sample. Query (SELECT 1 AS n) now have a name — R.
Code language:SQL (Structured Query Language)(sql) In general, a recursive CTE has three parts: An initial query that returns the base result set of the CTE. The initial query is called an anchor member. A recursive query that references the common table expression, therefore, it is called the recursive member.
A recursive common table expression (CTE) is a CTE that references itself. By doing so, the CTE repeatedly executes, returns subsets of data, until it returns the complete result set.
your tables and sample data
create table #Category(Id int identity(1,1),Name Varchar(255),parentId int)
INSERT INTO #Category(Name,parentId) values
('Category1',null),('Category1.1',1),('Category2.1',2),
('Category1.2',1),('Category3.1',3)
create table #CategoryItem(Id int identity(1,1),categoryId int,itemId int)
INSERT INTO #CategoryItem(categoryId,itemId) values
(5,1),(4,2),(5,2),(3,1),(2,3),(1,1),(3,2)
create table #Item(Id int identity(1,1),Name varchar(255))
INSERT INTO #Item(Name) values('item1'),('item2'),('item3')
Checking for all childs of parent by Recursive Commom Table Expressions
;WITH CategorySearch(ID, parentId) AS
(
SELECT ID, ID AS ParentId FROM #Category
UNION ALL
SELECT CT.Id,CS.parentId FROM #Category CT
INNER JOIN CategorySearch CS ON CT.ParentId = CS.ID
)
select * from CategorySearch order by 1,2
Output: All child records against parent
ID parentId
1 1
2 1
3 1
4 1
5 1
2 2
3 2
5 2
3 3
5 3
4 4
5 5
Final query for your result, count all items for category and its children categories.
;WITH CategorySearch(ID, parentId) AS
(
SELECT ID, ID AS ParentId FROM #Category
UNION ALL
SELECT CT.Id,CS.parentId FROM #Category CT
INNER JOIN CategorySearch CS ON CT.ParentId = CS.ID
)
SELECT CA.Name AS CategoryName,count(itemId) CountItem
FROM #Category CA
INNER JOIN CategorySearch CS ON CS.ParentId = CA.id
INNER JOIN #CategoryItem MI ON MI.CategoryId =CS.ID
GROUP BY CA.Name
Output:
CategoryName CountItem
Category1 7
Category1.1 5
Category1.2 1
Category2.1 4
Category3.1 2
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