Question

What is the difference between DDL and DML in DBMS?

26 Apr 2023
Answer :
Word Count : 1256

In DBMS (Database Management System), DDL (Data Definition Language) and DML (Data Manipulation Language) are two fundamental components used for managing and manipulating data within a database. Here are the differences between DDL and DML:

DDL (Data Definition Language):

  1. Purpose: DDL is used to define the structure and schema of the database. It focuses on creating, modifying, and deleting database objects, such as tables, indexes, views, and constraints.
  2. Actions: DDL statements define the database structure, including creating, altering, or dropping database objects. It allows the creation of new tables, modification of existing tables, and control over data integrity through constraints.
  3. Examples: Common DDL statements include CREATE, ALTER, and DROP. For example, CREATE TABLE is used to create a new table, ALTER TABLE is used to modify the structure of an existing table, and DROP TABLE is used to delete a table.
  4. Impact: DDL statements have a significant impact on the overall database structure and schema. They define the data types, constraints, relationships, and other attributes of the database objects.
  5. Execution: DDL statements are executed immediately and permanently modify the database structure. They are typically executed by database administrators or users with elevated privileges.

DML (Data Manipulation Language):

 

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