In the realm of Structured Query Language (SQL), Data Definition Language (DDL) commands play a crucial role in defining and managing the structure of a database.
In this article, we’ll explore the usage of various DDL commands along with examples to provide a comprehensive understanding.
1. CREATE
The `CREATE` command is fundamental for establishing the foundation of a database by creating tables, schemas, or indices. Below is the syntax for creating a table:
CREATE TABLE table_name (
column1 datatype,
column2 datatype,
...
);
Example:
CREATE TABLE CUSTOMERS (
InsuranceID INT,
Name VARCHAR(50),
DOB DATE,
NIN INT,
Location VARCHAR(255)
);
2. ALTER
The `ALTER` command is used to modify the structure of an existing table. It can add, modify, or delete columns or constraints. Here is the syntax for adding a new column:
ALTER TABLE Table_name ADD column_name datatype;
Example:
ALTER TABLE CUSTOMERS ADD email_id VARCHAR(50);
3. TRUNCATE
The `TRUNCATE` command is employed to delete all the data present in a table while keeping the table structure intact. It is a faster alternative to the `DELETE` command for removing all records.
TRUNCATE TABLE table_name;
Example:
TRUNCATE TABLE CUSTOMERS;
4. DROP
The `DROP` command is used to delete a table along with all its data. Exercise caution when using this command, as it irreversibly removes the table.
DROP TABLE table_name;
Example:
DROP TABLE CUSTOMERS;
5. RENAME
The `RENAME` command allows you to change the name of an existing table. This can be useful for maintaining a consistent naming convention or reflecting changes in the database structure.
RENAME TABLE table_name1 TO new_table_name1;
Example:
RENAME TABLE CUSTOMERS TO CUSTOMERINFO;
6. COMMENT
SQL supports both single-line and multi-line comments. Single-line comments start with “–,” while multi-line comments are enclosed within /* */.
Example:
-- Single-Line Comment
/* Multi-Line Comment
Line1,
Line2 */
Understanding and mastering these DDL commands is essential for effective database management. They provide the tools needed to create, modify, and maintain the structure of a database, ensuring it aligns with the evolving needs of an organization or application.
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