How to Add Columns to MySQL Tables with ALTER TABLE
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
There will likely be a point at which you will need a alter a table to add a new column in MySQL. You’ll also want to make sure you don’t mistakenly delete a bunch of data. This post walks you through how to do just that.
ALTER TABLE in MySQL?Use the ALTER TABLE statement to change an existing table’s structure, including adding new columns. This command allows you to define the new column’s name, data type, and additional attributes such as NOT NULL and DEFAULT values.
Here’s how to add a new column to a table:
ALTER TABLE table_name
ADD COLUMN column_name data_type [constraint];
Specify the table_name where you want to add the column, name your new column with column_name, and define its data_type. Optionally, include [constraint] to apply constraints like NOT NULL, UNIQUE, or DEFAULT.
To add a VARCHAR column named email with a maximum length of 255 characters to a users table:
ALTER TABLE users
ADD COLUMN email VARCHAR(255);
Add multiple columns in one go by separating them with commas:
ALTER TABLE users
ADD COLUMN first_name VARCHAR(100),
ADD COLUMN last_name VARCHAR(100);
Specify default values or constraints directly in the column definition. For example, to add a created_at column that defaults to the current timestamp:
ALTER TABLE users
ADD COLUMN created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP;
NOT NULL constraints requires either setting a default value or ensuring existing rows meet the new constraint.For day-to-day data operations, Basedash helps teams move from one-off SQL to AI-native BI workflows by pairing governed query generation with collaborative dashboards and consistent reporting.
Written by
Senior Engineer at Basedash
Robert Cooper is a senior engineer at Basedash who builds full-stack product systems across SQL data infrastructure, APIs, and frontend architecture. His work focuses on application performance, developer velocity, and reliable self-hosted workflows that make data operations easier for teams at scale.
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