DDL vs DML: Understanding SQL Command Types

SQL commands are divided into different categories, with DDL and DML being two of the most important. Understanding the difference is crucial for effective database management.\\n\\n**DDL (Data Definition Language)** commands define and modify database structure. These include CREATE, ALTER, DROP, and TRUNCATE. DDL commands affect the schema itself—creating tables, modifying columns, or removing database objects. These operations are typically auto-committed and cannot be rolled back in most database systems.\\n\\n**DML (Data Manipulation Language)** commands manipulate the data within existing structures. These include SELECT, INSERT, UPDATE, and DELETE. DML operations work with the actual data in your tables and can be rolled back if wrapped in a transaction.\\n\\n**Key Differences:**\\n- DDL changes structure, DML changes data\\n- DDL is auto-committed, DML can be rolled back\\n- DDL requires schema privileges, DML requires data privileges\\n- DDL operations are typically less frequent than DML\\n\\n**Use DDL when:** Setting up databases, modifying table structures, creating indexes, or managing database objects.\\n\\n**Use DML when:** Inserting records, updating data, querying information, or deleting rows.