Understanding Storage Sizes for MySQL TEXT Data Types
TEXT data objects, as their namesake implies, are useful for storing long-form text strings in a MySQL database. The four
TEXT data object types are built for storing and displaying substantial amounts of information as opposed to other data object types that are helpful with tasks like sorting and searching columns or handling smaller configuration-based options for a larger project. The different
TEXT objects offer a range of storage space from 1 byte to 4 GB and are not designed for storing computational values. It’s common to see these used to store product descriptions for a sales site, property summaries for realty database, and long-form article text on a news website.
TEXT objects are best used when
VARCHAR and other string-based data objects are insufficient to handle storing the desired amount of information. However, the smallest
TINYTEXT, shares the same character length as
TEXT objects differentiate themselves from other string storage types by removing the requirement to specify a storage length, not stripping bytes when selected, and do not pad unused character space for efficient disk storage. Since
TEXT objects are not stored in the server’s memory, they require data overhead for retrieval. The following sizes assume the database is using the UTF-8 encoding.
TINYTEXT: 255 characters – 255 B
TINYTEXT data object is the smallest of the
TEXT family and is built to efficiently store short information strings. This type can store up to 255 bytes (expressed as 2^8 -1) or 255 characters and requires a 1 byte overhead. This object can be used to store things like short summaries, URL links, and other shorter objects.
TINYTEXT shines over
VARCHAR when storing data that’s under 255 characters with an inconsistent length and no need to be used for sorting criteria.
TEXT: 65,535 characters – 64 KB
TEXT data object is sufficiently capable of handling typical long-form text content.
TEXT data objects top out at 64 KB (expressed as 2^16 -1) or 65,535 characters and requires a 2 byte overhead. It is sufficiently large enough to hold text for something like an article, but would not be sufficient for holding the text of an entire book.
MEDIUMTEXT: 16,777,215 – 16 MB
MEDIUMTEXT data object is useful for storing larger text strings like white papers, books, and code backup. These data objects can be as large as 16 MB (expressed as 24^2 -1) or 16,777,215 characters and require 3 bytes of overhead storage.
LONGTEXT: 4,294,967,295 characters – 4 GB
LONGTEXT data object is for use in extreme text string storage use cases. It is a viable option when the
MEDIUMTEXT object is not big enough. Computer programs and applications often reach text lengths in the
LONGTEXT range. These data objects can be as large as 4 GB (expressed as 2^32 -1) and store up to 4,294,967,295 characters with 4 bytes of overhead storage,
TEXT vs. BLOB
BLOBs are an alternative type of data storage that share matching naming and capacity mechanisms with
TEXT objects. However,
BLOBs are binary strings with no character set sorting, so they are treated as numeric values while
TEXTobjects are treated as character strings. This differentiation is important for sorting information.
BLOBs are used to store data files like images, videos, and executables.
TEXTfields for select and search queries will incur performance hits because the server will call the objects individually and scan them during the query instead of paging data stored in the memory.
- Enabling strict SQL will enforce the maximum character lengths and truncate any entered data that exceeds those limits.
TEXTcolumns require an index prefix length and can’t have
- Estimating size by word count: assume average English word is 4.5 letters long and needs 1 extra character for spacing. Example, a site that consists of 500 word articles would use about 2,750 characters on average for the article text data.
TINYTEXT’s 255 character capacity is insufficient for this use case, while
TEXT’s 65535 character capacity offers storage for articles that hit over 11,900 words based on the average criteria.
Source : https://chartio.com/resources/tutorials/understanding-strorage-sizes-for-mysql-text-data-types/