Why Use a VARCHAR Field Instead of TEXT in MySQL
Olivia Novak
Dev Intern · Leapcell

Background
When storing a segment of serialized data of uncertain length in a database, many people design the field as VARCHAR(2000) in the table schema.
But if the length is uncertain, why not use the TEXT type instead? Some say: TEXT affects query performance.
Is that really the reason? This article will explore that:
What is TEXT
TEXT is a variable-length data type in MySQL, including TINYTEXT, TEXT, MEDIUMTEXT, and LONGTEXT. They are typically used to store large amounts of textual data, with the following storage limits:
TINYTEXT: 0 - 255 bytesTEXT: 0 - 65,535 bytesMEDIUMTEXT: 0 - 16,777,215 bytesLONGTEXT: 0 - 4,294,967,295 bytes
How TEXT is Stored
Each BLOB or TEXT value is represented internally by a separately allocated object, whereas other data types have storage space allocated once per column when the table is opened.
When storing string-type data, InnoDB encodes fixed-length fields of 768 bytes or more as variable-length fields and stores them in overflow pages. Data smaller than 768 bytes is stored directly in the data row. Therefore, when using other string types, avoid storing data that is 768 bytes or larger.
Limitations of TEXT
TEXTcannot have a default value.- When indexing a
TEXTfield, a prefix length must be specified. - When comparing index entries, trailing spaces are padded. If a unique index is required, this can lead to duplicate key errors.
TEXTfields may be particularly long. When sorting, only the firstmax_sort_lengthbytes (default is 1024) are used. This value can be adjusted by modifying the variable:
-- View max_sort_length SELECT @@max_sort_length; -- Set max_sort_length SET max_sort_length = 2048;
-
When processed with temporary tables, the server will use tables on disk rather than in memory, because the
MEMORYstorage engine does not supportTEXTtype. -
The size of a
TEXTobject is determined by its type, but the actual transferable maximum size is limited by the available content and communication buffer size. This can be adjusted by changing themax_allowed_packetvariable:
-- View max_allowed_packet SELECT @@max_allowed_packet; -- Set max_allowed_packet SET max_allowed_packet = 67108864;
Conclusion
TEXT can be used to store large amounts of textual data. However, for several reasons, it is not recommended to use TEXT:
Performance Issues
TEXTis represented internally as a separately allocated object, requiring additional operations and resource consumption during storage and retrieval.- If a
TEXTfield is especially large, reading it can increase memory pressure, impacting overall system performance. - The
MEMORYstorage engine does not supportTEXT, so when temporary tables are used, data fromTEXTfields will be read from disk rather than directly from memory.
Indexing Limitations
Indexes can improve query performance, but indexing TEXT fields comes with certain restrictions and complexity:
- When used as a unique index, it may result in duplicate key errors.
- Creating full-text indexes requires additional computation and space to maintain. If the
TEXTfield is too large, it may negatively impact performance.
Therefore, it's advisable to avoid using the TEXT type in table schema design. If it must be used, consider the following approaches:
- Separate
TEXTfields into independent tables, linking to the main table via primary key. - Avoid reading
TEXTfields unless necessary — for example, do not useSELECT *. - For large fields, consider storing them in OSS (Object Storage Service).
We are Leapcell, your top choice for hosting backend projects.
Leapcell is the Next-Gen Serverless Platform for Web Hosting, Async Tasks, and Redis:
Multi-Language Support
- Develop with Node.js, Python, Go, or Rust.
Deploy unlimited projects for free
- pay only for usage — no requests, no charges.
Unbeatable Cost Efficiency
- Pay-as-you-go with no idle charges.
- Example: $25 supports 6.94M requests at a 60ms average response time.
Streamlined Developer Experience
- Intuitive UI for effortless setup.
- Fully automated CI/CD pipelines and GitOps integration.
- Real-time metrics and logging for actionable insights.
Effortless Scalability and High Performance
- Auto-scaling to handle high concurrency with ease.
- Zero operational overhead — just focus on building.
Explore more in the Documentation!
Follow us on X: @LeapcellHQ



