Introduction: In this article I am going to explain how
to create parent-child hierarchy(Continent-> Country-> State-> City) with levels using recursive common table
expression (CTE).
Explanation: The base record for the CTE is obtained by the first select query above UNION ALL. It gets all the ParentIds which don’t have ParentId i.e. NULL value. This means they are the continents so their Level is set to 1.
In previous articles i have explained How to use CTE recursive query to get employee manager hierarchy with level and Using CTE to get all dates between two specified dates and Multiple sql server queries to get all dates between two dates and Check column existence before adding new column in table and Row_number(), rank(), dense_rank(), ntile() ranking functions
Description: While working with database we often
store parent and child id in same table. For example category id and sub
category Id, employee id and his manager id etc.
Here in this article I am taking
an example where continents and their countries and state of that countries and
cities of that states are stored in same table. And suppose it is required to
get all of them in hierarchy e.g. Continent-> Country-> State-> City,
then CTE is very useful in such case because of its recursive capability.
Implementation: Let's understand by an example: Create a dummy table using the script below:
IF OBJECT_ID('tempdb.dbo.#tbHierarchy',
'U') IS NOT NULL
DROP TABLE #tbHierarchy;
GO
CREATE TABLE #tbHierarchy
(
Id INT
,[Name]
VARCHAR(20)
,ParentId
INT
)
Insert some dummy data using the script below:
GO
INSERT INTO #tbHierarchy(Id, [Name], ParentId)
VALUES
(1, 'Europe', NULL)
,(2, 'Asia', NULL)
,(3,
'Africa', NULL)
,(4, 'France', 1)
,(5, 'India', 2)
,(6, 'China', 2)
,(7, 'Zimbabwe', 3)
,(8, 'Hong Kong', 6)
,(9, 'Beijing', 6)
,(10, 'Shanghai',6)
,(11, 'Chandigarh', 5)
,(12, 'Mumbai', 5)
,(13, 'Delhi', 5)
,(14, 'Haryana', 5)
,(15, 'Gurgaon', 14)
,(16, 'Panchkula', 14)
,(17, 'Paris', 4)
,(18, 'Marseille', 4)
,(19, 'Harare', 7)
,(20, 'Bulawayo', 7);
Check table data
SELECT * FROM #tbHierarchy
Id
|
Name
|
ParentId
|
1
|
Europe
|
NULL
|
2
|
Asia
|
NULL
|
3
|
Africa
|
NULL
|
4
|
France
|
1
|
5
|
India
|
2
|
6
|
China
|
2
|
7
|
Zimbabwe
|
3
|
8
|
Hong
Kong
|
6
|
9
|
Beijing
|
6
|
10
|
Shanghai
|
6
|
11
|
Chandigarh
|
5
|
12
|
Mumbai
|
5
|
13
|
Delhi
|
5
|
14
|
Haryana
|
5
|
15
|
Gurgaon
|
14
|
16
|
Panchkula
|
14
|
17
|
Paris
|
4
|
18
|
Marseille
|
4
|
19
|
Harare
|
7
|
20
|
Bulawayo
|
7
|
Recursive CTE query to get Continent-> Country->
State-> City relationship hierarchy with levels.
;WITH MyCTE
AS
(
-- anchor
SELECT Id, [Name], ParentId,1 AS [Level],
CAST(([Name]) AS VARCHAR(MAX)) AS Hierarchy
FROM #tbHierarchy t1
WHERE ParentId IS NULL
UNION ALL
--recursive
member
SELECT t2.id, t2.[Name], t2.ParentID,M.[level] + 1 AS [Level],
CAST((M.Hierarchy + '->' + t2.Name) AS VARCHAR(MAX)) AS Hierarchy
FROM #tbHierarchy AS
t2
JOIN
MyCTE AS M ON
t2.ParentId = M.Id
)
SELECT * FROM MyCTE
Id
|
Name
|
ParentId
|
Level
|
Hierarchy
|
1
|
Europe
|
NULL
|
1
|
Europe
|
2
|
Asia
|
NULL
|
1
|
Asia
|
3
|
Africa
|
NULL
|
1
|
Africa
|
7
|
Zimbabwe
|
3
|
2
|
Africa->Zimbabwe
|
19
|
Harare
|
7
|
3
|
Africa->Zimbabwe->Harare
|
20
|
Bulawayo
|
7
|
3
|
Africa->Zimbabwe->Bulawayo
|
5
|
India
|
2
|
2
|
Asia->India
|
6
|
China
|
2
|
2
|
Asia->China
|
8
|
Hong
Kong
|
6
|
3
|
Asia->China->Hong
Kong
|
9
|
Beijing
|
6
|
3
|
Asia->China->Beijing
|
10
|
Shanghai
|
6
|
3
|
Asia->China->Shanghai
|
11
|
Chandigarh
|
5
|
3
|
Asia->India->Chandigarh
|
12
|
Mumbai
|
5
|
3
|
Asia->India->Mumbai
|
13
|
Delhi
|
5
|
3
|
Asia->India->Delhi
|
14
|
Haryana
|
5
|
3
|
Asia->India->Haryana
|
15
|
Gurgaon
|
14
|
4
|
Asia->India->Haryana->Gurgaon
|
16
|
Panchkula
|
14
|
4
|
Asia->India->Haryana->Panchkula
|
4
|
France
|
1
|
2
|
Europe->France
|
17
|
Paris
|
4
|
3
|
Europe->France->Paris
|
18
|
Marseille
|
4
|
3
|
Europe->France->Marseille
|
Explanation: The base record for the CTE is obtained by the first select query above UNION ALL. It gets all the ParentIds which don’t have ParentId i.e. NULL value. This means they are the continents so their Level is set to 1.
Second select query below UNION ALL is executed recursively to get
results and it will continue until it returns no rows. Countries will be
assigned Level 2, States will be assigned Level 3 and Cities will be assigned
Level 4 and hierarchy is created as you can see in the final output.
Now over to you:
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