Sql Constraint
Constraints
are the rules apply on data columns on table. These are used to ensure the
accuracy and reliability of the data in the database.
There are
two type of Constraints
·
Column level : Column level constraints are applied only to one
column
·
Table level: table level constraints are applied to the whole
table.
Following
are commonly used constraints available in SQL.
·
NOT NULL: Ensures that a column
cannot have NULL value.
CREATE TABLE Emp_Details
(
Emp_Id int NOT NULL,
Emp_Name varchar(200) NOT NULL,
Address varchar(200),
City varchar(200)
)
·
DEFAULT: Provides a default value
for a column when none is specified.
CREATE TABLE Emp_Details
(
Emp_Id int NOT NULL,
Emp_Name varchar(200) NOT NULL,
Address varchar(200),
City varchar(200),
JoiningDate Datetime DEFAULT GETDATE()
)
CREATE TABLE Emp_Details
(
Emp_Id int NOT NULL ,
Emp_Name varchar(200) NOT NULL,
Address varchar(200),
City varchar(200),
CONSTRAINT uc_EmpID UNIQUE
(Emp_Id)
)
CREATE TABLE Emp_Details
(
Emp_Id int NOT NULL PRIMARY KEY,
Emp_Name varchar(200) NOT NULL,
Address varchar(200),
City varchar(200),
)
CREATE TABLE Emp_Details
(
Emp_Id int NOT NULL PRIMARY KEY,
Emp_Name varchar(200) NOT NULL,
Address varchar(200),
City varchar(200),
PRIMARY KEY (Emp_Id) FOREIGN KEY REFERENCES Emp_Master(Emp_Id)
)
·
CHECK: The CHECK constraint
ensures that all values in a column satisfy certain conditions.
CREATE TABLE Emp_Details
(
Emp_Id int NOT NULL CHECK (P_Id>0),
Emp_Name varchar(200) NOT NULL,
Address varchar(200),
City varchar(200),
PRIMARY KEY (Emp_Id)
)
User can
apply the Constraints either at the time of creation of the table with the
CREATE TABLE statement or by using ALTER TABLE statement to create constraints
on existing table.
Dropping Constraints:
Constraint
can be dropped using the ALTER TABLE command with the DROP CONSTRAINT option.
e.g., to
drop the primary key constraint in the EMP_Details table, you can use the
following command:
ALTER TABLE EMP_Details DROP
CONSTRAINT EMP_Id;
Integrity Constraints:
Integrity
constraints are used to ensure accuracy and consistency of data in a relational
database. Data integrity is handled in a relational database through the concept
of referential integrity.