varchar maximum length
VARCHAR(M) is a more flexible data type than CHAR. It is also used to represent character data, but VARCHAR can save variable-length strings. Where M represents the maximum length of the string allowed to be saved by this data type. As long as the length of the string is less than the maximum value, it can be saved in this data type.
# Therefore, it is more sensible to use the VARCHAR data type for those data objects whose exact length is difficult to estimate. (Recommended learning: MySQL Video Tutorial)
Before MySQL 4.1, the maximum length supported by the VARCHAR data type was 255, and versions above 5.0 supported 65535 bytes in utf8 encoding. Supports up to 21843 characters (not empty).
varchar features
1. It takes up less storage space than the fixed-length type (char) (except for MyISAM tables created using ROW_FORMAT=FIXED).
2. Use additional 1-2 bytes to store the value length. Use 1 byte for column length
3. Save space, so performance will be helpful. Additional work will be incurred when updating.
4. In versions 5.0 and above, the spaces at the end of the string will be saved when the value is taken or set. Versions before 4.1 will delete the spaces at the end of the string.
5. The maximum length is much larger than the average length. It is suitable to use varchar when updates rarely occur because there are fewer fragments.
Another outstanding benefit of the VARCHAR field is that it takes up less memory and hard disk space than the CHAR field. When the database is large, this memory and disk space saving will become very important.
Although VARCHAR is more flexible to use, from the perspective of the performance of the entire system, the processing speed of the CHAR data type is faster Fast, sometimes even exceeding 50% of the processing speed of VARCHAR. Therefore, users should consider all factors when designing a database in order to achieve the best balance.
For more MySQL related technical articles, please visit the MySQL Tutorial column to learn!
The above is the detailed content of varchar maximum length. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.
