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MySQL Text Storage Sizes: Understanding the Differences Between TEXT and BLOB

MySQL Text Storage Sizes: Understanding the Differences Between TEXT and BLOB

MySQL is a widely used open-source relational database management system that offers several data types for storing and managing various types of data. Among these data types, TEXT and BLOB are commonly used for the storage of long-form text strings and binary data, respectively.

This article will delve deeper into the MySQL text storage sizes and highlight the differences between TEXT and BLOB. We'll also discuss best practices for storing long-form text strings and efficiently managing large amounts of text data in MySQL.

This guide will delve into SQL updating techniques, commands, and how to execute updates based on another column's filter or even across multiple tables. So, let's jump right into the world of SQL and elevate your data management skills.

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Understanding MySQL TEXT and BLOB Data Types

TEXT Data Type

The TEXT data type in MySQL is used for storing long-form text strings that are larger than the VARCHAR data type can handle. TEXT data types can store up to a maximum of 65,535 characters and have four subtypes: TINYTEXT, TEXT, MEDIUMTEXT, and LONGTEXT.

  • TINYTEXT: maximum length of 255 characters.
  • TEXT: maximum length of 65,535 characters.
  • MEDIUMTEXT: maximum length of 16,777,215 characters.
  • LONGTEXT: maximum length of 4,294,967,295 characters.

For most applications, the TEXT data type can handle storing long-form text strings effectively. However, it is essential to consider the maximum storage size of each subtype and choose the most appropriate size for your application's needs.

BLOB Data Type

The BLOB data type in MySQL is used for storing binary data such as images, audio, video, and other non-textual data. Like TEXT data types, BLOBs have four subtypes: TINYBLOB, BLOB, MEDIUMBLOB, and LONGBLOB.

  • TINYBLOB: maximum length of 255 bytes.
  • BLOB: maximum length of 65,535 bytes.
  • MEDIUMBLOB: maximum length of 16,777,215 bytes.
  • LONGBLOB: maximum length of 4,294,967,295 bytes.

Although BLOBs are capable of storing large amounts of binary data, they require more processing power and memory to retrieve data than the TEXT data type.

Differences Between TEXT and BLOB

The key difference between TEXT and BLOB is in the way they handle data storage.

TEXT data types store data as a string of characters that are encoded in a particular character set. Since TEXT data types are used to store long-form text strings, they have size limitations in each of their subtypes.

In contrast, BLOB data types store binary data as a sequence of bytes with no character encoding. BLOBs are not limited by the character limit, but rather by the maximum storage size of each subtype.

Another difference is that TEXT data types are indexed differently than BLOB data types. TEXT data types can use a prefix index of up to 767 bytes, while BLOB data types cannot use a prefix index. This limitation makes searching through and sorting BLOB data slower than TEXT data.

Best Practices for Storing Long-Form Text Strings

When storing long-form text strings in MySQL, it's essential to follow some best practices to help ensure efficiency and scalability. Here are some tips:

  1. Choose the appropriate data type: Choose the right data type that can handle your application's text storage needs. For instance, if your application requires storing large volumes of text strings, choose the LONGTEXT subtype.

  2. Optimize table structure: Use table normalization and reduce data redundancy.

  3. Efficiently store text data: Avoid storing unnecessary white spaces and leading or trailing whitespace characters.

  4. Enable compression: MySQL offers a compression feature that can help reduce the memory footprint of your text data, thereby reducing your database's overall storage requirements.

Managing Large Text Strings in MySQL

Managing large text strings in MySQL can be challenging, especially when dealing with databases with limited storage. Here are some best practices for efficiently managing large text data:

  1. Use pagination: Use pagination to display text data in smaller chunks rather than loading the entire text at once. When pagination is in place, only small portions of the text are retrieved and displayed, which minimizes the impact of slow retrieval speeds.

  2. Use caching: Use caching to reduce the number of database queries needed to access text data. Cached data can be stored in memory, making it quicker and easier to retrieve in future requests.

  3. Enable compression: Enabling compression helps reduce the memory footprint of your text data, which can significantly reduce storage requirements.

  4. Use MySQL full-text search: MySQL full-text search can be used to search for specific words within text data, helping to improve retrieval speeds.


MySQL offers versatile data types for storing and managing text data. TEXT data types are ideal for storing long-form text strings, while BLOB data types are suited for binary data. Knowing the differences and best practices between managing these data types can help keep your MySQL database efficient and scalable.