Guide to MySQL Text Types
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
Robert Cooper
Robert Cooper Senior Engineer at Basedash
· January 31, 2025
MySQL is a powerful database management system that organizes and retrieves data using various data types. Among these, text types are essential for storing string data of variable length. In this guide, we’ll dive into the different text types MySQL offers, their characteristics, and their optimal use cases.
MySQL supports four primary text types: TINYTEXT, TEXT, MEDIUMTEXT, and LONGTEXT. These types store non-binary string data, like articles, emails, or JSON objects, and mainly differ in storage capacity.
Use the TINYTEXT type for short texts. It stores up to 255 characters, making it suitable for data like titles or names.
CREATE TABLE example (
column_name TINYTEXT
);
The TEXT type, capable of storing up to 65,535 characters, fits well for paragraphs of text such as comments or product descriptions.
CREATE TABLE example (
column_name TEXT
);
MEDIUMTEXT accommodates up to 16,777,215 characters, handling articles, long blog posts, or extensive product reviews efficiently.
CREATE TABLE example (
column_name MEDIUMTEXT
);
For the largest texts, such as books or comprehensive documentation, LONGTEXT is the go-to type, with a capacity of up to 4,294,967,295 characters.
CREATE TABLE example (
column_name LONGTEXT
);
The key to selecting the right text type is to estimate the maximum size of your data. Opt for the smallest type that can accommodate your data’s maximum length to minimize space usage and optimize retrieval times.
Also, consider your needs for full-text searches on the data. Larger text fields may demand more resources for indexing and searching, so balancing storage needs with performance requirements is crucial.
In summary, knowing how to choose between MySQL’s text types allows for more efficient and effective database schema design. By selecting the appropriate text type for your data, you optimize storage, enhance performance, and maintain data integrity.
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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