


How to Fix the \'Incorrect String Value\' Error When Saving Unicode Strings in Django?
Incorrect String Value Error when Saving Unicode Strings in Django
When attempting to save unicode strings to Django's auth_user model, you may encounter a "incorrect string value" error. This error is typically caused by the MySQL character set and collation settings.
MySQL Character Set and Collation
MySQL supports the UTF-8 character set, but it has a 3-byte limit on characters. This means that it is not possible to store 4-byte unicode characters in MySQL with the standard UTF-8 character set.
Problem Explanation
When Django attempts to save unicode strings to the auth_user model, MySQL tries to convert them to the UTF-8 character set. However, if the strings contain 4-byte characters, the conversion fails and results in the "incorrect string value" error.
Solution
To resolve this issue, you can:
- Change MySQL Character Set to utf8mb4: MySQL 5.5 onwards supports the utf8mb4 character set, which allows for 4-byte characters. Recreate your database, tables, and columns using utf8mb4.
- Specify Character Set in Django Settings: Add the following to your Django settings file (settings.py) to specify the character set for the database connection:
DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', ... 'OPTIONS': {'charset': 'utf8mb4'}, } }
Additional Considerations
- If you cannot reduce the size of your VARCHAR field to 191 characters, you can consider switching to PostgreSQL, which supports 4-byte unicode characters by default.
- If you wish to keep using MySQL with utf8mb4, you may need to apply hacks to Django to increase the allowed VARCHAR size.
- In rare cases, this issue can also be caused by a database configuration that limits key sizes. Check your MySQL configuration and adjust it if necessary.
The above is the detailed content of How to Fix the \'Incorrect String Value\' Error When Saving Unicode Strings in Django?. 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











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 is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

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.
