This article is written to describe all the different types of Sql Joins
I generally feel that people are afraid of Joins in SQL Server. But if they know what the different types of Joins in SQL Server are and how they can be best used then they really enjoy using them. By using the joins we can get data from many tables based on some logical conditions.
Now, if we want to get employee id, employee first name, employee's last name and their department name for those entries employee which belongs to at least one department, then we can use the inner join.
The Outer join can be of three types
Joining of the tables should be avoided if it is based on the columns that have very few unique values. To increase the JOIN performance it is better to limits the number of rows needed to be joined, by including a WHERE clause in your query. Join performance can also we increased if the columns used for joining the tables have their own indexes.
The Different Types of Joins in SQL Server
- Inner join or Equi join
- Outer Join
- Cross join
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CREATE TABLE [dbo]. [Employee](
[Empid] [Int] IDENTITY (1, 1) NOT NULL Primary key,
[EmpNumber] [nvarchar](50) NOT NULL,
[EmpFirstName] [nvarchar](150) NOT NULL,
[EmpLastName] [nvarchar](150) NULL,
[EmpEmail] [nvarchar](150) NULL,
[Managerid] [int] NULL,
[Departmentid] [INT]
)
CREATE TABLE [dbo].[Department](
[Departmenttid] [int] IDENTITY (1, 1) NOT NULL primary key,
[DepartmentName] [nvarchar](255) NOT NULL
)
After the creation of the tables we need to insert the data into these tables. To insert the data the following queries are used:-
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insert into Employee
(EmpNumber,EmpFirstName,EmpLastName,EmpEmail,Managerid,Departmentid)
values('A001','Samir','Singh','samir@abc.com',2,2)
insert into Employee
(EmpNumber,EmpFirstName,EmpLastName,EmpEmail,Managerid,Departmentid)
values('A002','Amit','Kumar','amit@abc.com',1,1)
insert into Employee (EmpNumber,EmpFirstName,EmpLastName,EmpEmail,Managerid,Departmentid)
values('A003','Neha','Sharma','neha@abc.com',1,2)
insert into Employee (EmpNumber,EmpFirstName,EmpLastName,EmpEmail,Managerid,Departmentid)
values('A004','Vivek','Kumar','vivek@abc.com',1,NULL)
insert into Department(DepartmentName)
values('Accounts')
insert into Department(DepartmentName)
values('Admin')
insert into Department(DepartmentName)
values('HR')
insert into Department(DepartmentName)
values('Technology')
Inner Join
This type of join is also known as the Equi join. This join returns all the rows from both tables where there is a match. This type of join can be used in the situation where we need to select only those rows which have values common in the columns which are specified in the ON clause.Now, if we want to get employee id, employee first name, employee's last name and their department name for those entries employee which belongs to at least one department, then we can use the inner join.
Query for Inner Join
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SELECT Emp.Empid, Emp.EmpFirstName, Emp.EmpLastName, Dept.DepartmentName
FROM Employee Emp
INNER JOIN Department dept
ON Emp.Departmentid=Dept.Departmenttid
Result
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Empid EmpFirstName EmpLastName DepartmentName
1 Samir Singh Admin
2 Amit Kumar Accounts
3 Neha Sharma Admin
Explanation
In this query, we used the inner join based on the column "Departmentid" which is common in both the tables "Employee" and "Department". This query will give all the rows from both the tables which have common values in the column "Departmentid". Neha Sharma and Samir Singh has the value "2" in the Departmentid column of the table Employee. In the Department table, the Department "Admin" has the value "2" in the Departmentid column. Therefore the above query returns two rows for the department "Admin", one for Neha Sharma and another for Samir Singh.Self Join
Sometime we need to join a table to itself. This type of join is called Self join. It is one of the type of inner join where both the columns belong to the same table. In this Join, we need to open two copies of a same table in the memory. Since the table name is the same for both instances, we use the table aliases to make identical copies of the same table to be open in different memory locations. For example if we need to get the employee name and their manager name we need to use the self join, since the managerid for an employee is also stored in the same table as the employee.Query for the Self Join
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SELECT Emp1.Empid,
Emp1.EmpFirstName+' '+Emp1.EmpLastName as EmployeeName,
Emp2.EmpFirstName+' '+Emp2.EmpLastName as ManagerName
FROM Employee Emp1
INNER JOIN Employee Emp2
ON Emp1.Managerid=Emp2.Empid
Result
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Empid EmployeeName ManagerName
1 Samir Singh Amit Kumar
2 Amit Kumar Samir Singh
3 Neha Sharma Samir Singh
4 Vivek Kumar Samir Singh
Explanation
Since the employee and the manager information is contained in the same table (Employee, since both are employees), we have to use the Self Join. In the self join query, we make two copies of the table Employee by using the aliases Emp1 and Emp2 and then use Inner join between them by using the managerid column of the Emp1 and Empid column of the table Emp2.In this example, we use managerid and empid columns of the Employee table since the employee id of the manager of an employee is stored in the managerid of the Employee table.Outer Join
This type of join is needed when we need to select all the rows from the table on the left (or right or both) regardless of whether the other table has common values or not and it usually enter null values for the data which is missing.The Outer join can be of three types
- Left Outer Join
- Right Outer Join
- Full Outer Join
Left Outer Join
If we want to get employee id, employee first name, employes last name and their department name for all the employees regardless of whether they belong to any department or not,then we can use the left outer join. In this case we keep the Employee table on the left side of the join clause. It will insert NULL values for the data which is missing in the right table.Query for Left Outer Join
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SELECT Emp.Empid,
Emp.EmpFirstName,
Emp.EmpLastName,
Dept.DepartmentName
FROM Employee Emp
LEFT OUTER JOIN Department dept
ON Emp.Departmentid=Dept.Departmenttid
Result
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Empid EmpFirstName EmpLastName DepartmentName
1 Samir Singh Admin
2 Amit Kumar Accounts
3 Neha Sharma Admin
4 Vivek Kumar NULL
Explanation
Since we have use the Left Outer Join, this query will give the information (Employee id, Employee first name, Employee last name and their department name) for all the employee from the Employee table and it insert NULL value in the DepartmentName column where the employee does not belong to any department. In the table Employee, since Samir Singh, Amit Kumar and Neha Sharma have values in their Departmentid column, therefore the above query will display their Department name under the heading DepartmentName.But since Vivek Kumar doesn't belongs to any department and has null value in the column Departmentid therefore the above query will Display the NULL value under the column heading DepartmentName.
Right Outer Join
If we want to get all the departments name and employee id, employee first name, and employees last name of all the employees belonging to the department regardless of whether a department have employees or not, then we can use the right outer join. In this case we keep the Department table on the right side of the join clause. It will insert NULL values for the data which is missing in the left table (Employee).Query for Right Outer Join
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SELECT Dept.DepartmentName,
Emp.Empid, Emp.EmpFirstName,
Emp.EmpLastName
FROM Employee Emp
RIGHT OUTER JOIN Department dept
ON Emp.Departmentid=Dept.Departmentid
Result
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DepartmentName Empid EmpFirstName EmpLastName
Accounts 2 Amit Kumar
Admin 1 Samir Singh
Admin 3 Neha Sharma
HR NULL NULL NULL
Technology NULL NULL NULL
Explanation
Since we have use the Right Outer Join, this query will join the two tables Employee and Department on the basis of the values contains in the column Departmenttid. It will give the department name from the Department table and the Employee id, Employee first name, and Employee last name of all the employees that belong to that department. If any department does not contain any employee then it insert NULL value in the columns coming from the Employee table. Since no employee is connected to the departments HR and Technology, this query will display NULL values under the columns Empid, EmpFirstName and EmpLastName for the Departments HR and Technology. Since the department Admin and Accounts contains the employees therefore the columns Empid, EmpFirstName and EmpLastName contains the information, employee id, employee first name and employee last name respectively.Full Outer Join
If we want to get all the departments name and the employee id, employee first name, employes last name of all the employees regardless of whether a department have employees or not, or whether a employee belong to a department or not, then we can use the full outer join. It will insert null values for the data which is missing in both the tables.Query for Full Outer Join
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SELECT Emp.Empid,
Emp.EmpFirstName,
Emp.EmpLastName,
Dept.DepartmentName
FROM Employee Emp
FULL OUTER JOIN Department dept
ON Emp.Departmentid=Dept.Departmenttid
Result
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Empid EmpFirstName EmpFirstName DepartmentName
1 Samir Singh Admin
2 Amit Kumar Accounts
3 Neha Sharma Admin
4 Vivek Kumar NULL
NULL NULL NULL HR
NULL NULL NULL Technology
Explanation
Since we have used the Full Outer Join, this query will give the name of all the departments from the Department table and the Employee id, Employee first name, Employee last name of all the employees from the Employee table. If any department does not contain any employee, then it insert NULL value in the columns Empid, EmpFirstName, EmpLastName columns and if any employee doesn't belong to any department then it insert NULL value in the column DepartmentName. Here since Vivek Kumar doesn't belong to any department, the result displays NULL value under the column DepartmentName. Since the departments HR and Accounts don't contain any employees, the result of the above query displays NULL values under the columns Empid, EmpFirstName and EmpLastName for the departments HR and Technology..Cross Join
This join combines all the rows from the left table with every row from the right table. This type of join is needed when we need to select all the possible combinations of rows and columns from both the tables. This type of join is generally not preferred as it takes lot of time and gives a huge result that is not often useful.Query for the Cross Join
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SELECT Emp.Empid,
Emp.EmpFirstName,
Emp.EmpLastName,
Dept.DepartmentName
FROM Employee Emp
CROSS JOIN Department dept
Results
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Empid EmpFirstName EmpLastName DepartmentName
1 Samir Singh Accounts
2 Amit Kumar Accounts
3 Neha Sharma Accounts
4 Vivek Kumar Accounts
1 Samir Singh Admin
2 Amit Kumar Admin
3 Neha Sharma Admin
4 Vivek Kumar Admin
1 Samir Singh HR
2 Amit Kumar HR
3 Neha Sharma HR
4 Vivek Kumar HR
1 Samir Singh Technology
2 Amit Kumar Technology
3 Neha Sharma Technology
4 Vivek Kumar Technology
Explanation
This Cross Join query will give combines all the rows from the Employee table with every row of the Department table. Since the Employee table contains 4 rows and the Department table contains 4 rows, therefore this result will returns 4*4=16 rows. This query doesn't contain any ON clause.Wrapping Up
The above discussion can be summarized as joins are used to select data from more than one table in a single query. The inner join is used to select only those rows that have common values in the column on which join is based. The Left Outer Join is used to select the rows from the left hand side table regardless of whether the table on the right hand side has common values or not. Similarly the Right Outer join is used to select rows from the table on the right hand side regardless of whether the table on the left hand side has common values or not. The Cross join is used to get rows from all the possible combinations of rows and columns from both the table. If should be used when it the only way left since it may run for a very long time and returns a huge result set which may not be useful.Joining of the tables should be avoided if it is based on the columns that have very few unique values. To increase the JOIN performance it is better to limits the number of rows needed to be joined, by including a WHERE clause in your query. Join performance can also we increased if the columns used for joining the tables have their own indexes.
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