MySQL is a common relational database management system, often used for data storage and management. In the process of using MySQL for data management, sometimes you encounter the problem of garbled characters when exporting data. Garbled exported data may cause the data to be unreadable or even lost. Therefore, this article will focus on solving the problem of MySQL exporting garbled characters.
1. Reasons why the exported file is garbled
In MySQL, there may be many reasons why the exported data is garbled. The following are some common reasons:
- Encoding mismatch
When the encoding format of the exported file does not match the encoding format of the MySQL database, garbled characters will appear. For example, if the export file uses UTF-8 encoding format, and the MySQL database uses GBK encoding format, the export file will be garbled.
- Incorrect export format
MySQL supports multiple data export formats, such as CSV, TXT, and SQL. If the export file format is incorrect, the exported data may also be garbled.
- Special characters
If the data contains special characters or incorrectly encoded characters, it may also cause the exported data to be garbled.
2. Methods to solve the garbled export file
- Confirm the database encoding
First, we need to confirm the encoding format used by the MySQL database. You can view it with the following command:
SHOW VARIABLES LIKE "%character%";
If the character set and proofreading rules in the view results do not match the encoding format that needs to be exported, you need to modify the encoding format of MySQL.
- Change MySQL encoding format
To change the encoding format of MySQL, you need to modify it in the MySQL configuration file. Just add the following statement to the MySQL configuration file my.cnf:
[client] default-character-set=utf8mb4 [mysqld] init_connect='SET NAMES utf8mb4' character-set-server=utf8mb4 collation-server=utf8mb4_unicode_ci
After the modification is completed, restart the MySQL database and the modified encoding format will take effect.
- Export format settings
When exporting data, you need to specify the correct export format. If you need to save it as a CSV file or TXT file, you can use the following command:
SELECT * INTO OUTFILE '<FILE_PATH>.csv' FIELDS TERMINATED BY ',' ENCLOSED BY '"' LINES TERMINATED BY ' ' FROM <TABLE_NAME>;
Among them,
- Use an editor to convert the encoding format
If none of the above methods can solve the garbled problem in data export, you can also use some professional text editors, such as Notepad or UltraEdit. These editors can convert files into specified encoding formats and garbled files into correct encoding formats.
Summary
In the MySQL database, garbled data export is often encountered. To solve this problem, you must first confirm whether the encoding format of the database is correct. You can confirm this by checking the configuration file and using commands. If it is indeed a problem of encoding format mismatch, you can use the editor tool to convert the format. Of course, you must also ensure that the export format is set correctly to ensure the correctness of the data export. In daily use of MySQL database, always pay attention to the matching of data encoding format to avoid garbled characters.
The above is the detailed content of mysql exports garbled characters. For more information, please follow other related articles on the PHP Chinese website!

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

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 worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version

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

SublimeText3 English version
Recommended: Win version, supports code prompts!

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.