DDL stands for “Data Definition Language.” It’s a subset of SQL (Structured Query Language) used to define and manage the structure and schema of a relational database. DDL statements are used to create, alter, and drop database objects such as tables, indexes, views, and constraints. Here are some common DDL statements:
- CREATE: Used to create new database objects, such as tables, views, indexes, and constraints. For example:
CREATE TABLE employees (
employee_id INT PRIMARY KEY,
first_name VARCHAR(50),
last_name VARCHAR(50),
department_id INT
);
- ALTER: Used to modify the structure of existing database objects. For example, you can add, modify, or drop columns from a table:
ALTER TABLE employees
ADD email VARCHAR(100);
- DROP: Used to delete existing database objects. For example:
DROP TABLE employees;
- TRUNCATE: Used to remove all data from a table, while keeping its structure intact. It’s faster than using DELETE to remove all rows:
TRUNCATE TABLE employees;
- COMMENT: Used to add comments or descriptions to database objects:
COMMENT ON TABLE employees
IS 'Stores information about company employees.';
- CREATE INDEX: Used to create an index on one or more columns of a table to improve query performance:
CREATE INDEX idx_last_name ON employees (last_name);
- CREATE VIEW: Used to create a virtual table based on the result of a query. Views provide a way to simplify complex queries and present data in a more user-friendly way:
CREATE VIEW employee_details AS
SELECT first_name, last_name, department_name
FROM employees
JOIN departments ON employees.department_id = departments.department_id;
- CREATE CONSTRAINT: Used to create integrity constraints on a table, such as primary keys, foreign keys, and unique constraints.
DDL statements are powerful tools for defining and managing the structure of a database. They play a crucial role in ensuring the consistency, integrity, and organization of the data stored in the database.