sql alter table add column

Galaxy Glossary

How do you add a new column to an existing table in SQL?

The `ALTER TABLE ADD COLUMN` statement is used to modify the structure of a table by adding a new column. This is a fundamental DDL operation for database management. It allows you to expand the information stored in a table.
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Description

Adding a new column to an existing table is a common database operation. The `ALTER TABLE ADD COLUMN` statement is used to modify the table's schema. This is crucial for adapting your database to changing requirements. For example, if you need to track product prices, you can add a new column to your product table. This statement is part of the Data Definition Language (DDL) in SQL, which deals with defining and modifying database structures. It's important to understand the data type of the new column, as it dictates the kind of data that can be stored in it. This operation ensures data integrity and consistency within your database. Properly defining the column's constraints (like `NOT NULL`) is essential for maintaining data quality.

Why sql alter table add column is important

Adding columns is essential for evolving database schemas to accommodate new data requirements. It's a crucial skill for database administrators and developers to adapt their databases to changing business needs. This flexibility is vital for maintaining a dynamic and responsive database system.

Example Usage

```sql -- Create a sample table CREATE TABLE Products ( ProductID INT PRIMARY KEY, ProductName VARCHAR(255), Price DECIMAL(10, 2) ); -- Insert some data INSERT INTO Products (ProductID, ProductName, Price) VALUES (1, 'Laptop', 1200.00), (2, 'Mouse', 25.00), (3, 'Keyboard', 75.00); -- Add a new column to store the product's category ALTER TABLE Products ADD COLUMN Category VARCHAR(50); -- Update the category for existing products UPDATE Products SET Category = 'Electronics' WHERE ProductID = 1; UPDATE Products SET Category = 'Peripherals' WHERE ProductID IN (2, 3); -- Verify the addition SELECT * FROM Products; ```

Common Mistakes

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