A self join is a join in which a table is joined with itself (which is also called Unary relationships), especially when the table has a FOREIGN KEY which references its own PRIMARY KEY. To join a table itself means that each row of the table is combined with itself and with every other row of the table.
The self join can be viewed as a join of two copies of the same table. The table is not actually copied, but SQL performs the command as though it were.
The syntax of the command for joining a table to itself is almost same as that for joining two different tables. To distinguish the column names from one another, aliases for the actual the table name are used, since both the tables have the same name. Table name aliases are defined in the FROM clause of the SELECT statement. See the syntax :
SELECT a.column_name, b.column_name... FROM table1 a, table1 b WHERE a.common_filed = b.common_field;
For this tutorial we have used a table EMPLOYEE, that has one-to-many relationship.
CREATE TABLE employee(emp_id varchar(5) NOT NULL, emp_name varchar(20) NULL, dt_of_join date NULL, emp_supv varchar(5) NULL, CONSTRAINT emp_id PRIMARY KEY(emp_id) , CONSTRAINT emp_supv FOREIGN KEY(emp_supv) REFERENCESemployee(emp_id));
In the EMPLOYEE table displayed above, emp_id is the primary key. emp_supv is the foreign key (this is the supervisor’s employee id).
If we want a list of employees and the names of their supervisors, we’ll have to JOIN the EMPLOYEE table to itself to get this list.
How the employees are related to themselves :
We have the following data into the table EMPLOYEE.
The above data shows :
In the following example, we will use the table EMPLOYEE twice and in order to do this we will use the alias of the table.
To get the list of employees and their supervisor the following SQL statement has used :
SELECT a.emp_id AS "Emp_ID",a.emp_name AS "Employee Name", b.emp_id AS "Supervisor ID",b.emp_name AS "Supervisor Name" FROM employee a, employee b WHERE a.emp_supv = b.emp_id;
Outputs of the said SQL statement shown here is taken by using Oracle Database 10g Express Edition.
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