为什么推荐在数据库中使用utf8mb4编码?
数据库层面的 UTF-8
如果你使用 PHP 来操作到 MySQL,有些时候即使你做到了上面的每一点,你的字符串仍可能面临在数据库中以非 UTF-8 的格式进行存储的问题。
为了确保你的字符串从 PHP 到 MySQL都使用 UTF-8,请检查确认你的数据库和数据表都设定为 utf8mb4 字符集和整理,并且确保你的 PDO 连接请求也使用了 utf8mb4 字符集。请看下方的示例代码,这是 非常重要 的。
请注意为了完整的 UTF-8 支持,你必须使用 utf8mb4 而不是 utf8!你会在进一步阅读中找到原因。
以上是php-the-right-way 中写的,不是太明白,求解答.
多谢大家的回答,我从网上找到了详细的信息.
mysql : utf8mb4 的问题
mysql utf8mb4与emoji表情
回复内容:
数据库层面的 UTF-8
如果你使用 PHP 来操作到 MySQL,有些时候即使你做到了上面的每一点,你的字符串仍可能面临在数据库中以非 UTF-8 的格式进行存储的问题。
为了确保你的字符串从 PHP 到 MySQL都使用 UTF-8,请检查确认你的数据库和数据表都设定为 utf8mb4 字符集和整理,并且确保你的 PDO 连接请求也使用了 utf8mb4 字符集。请看下方的示例代码,这是 非常重要 的。
请注意为了完整的 UTF-8 支持,你必须使用 utf8mb4 而不是 utf8!你会在进一步阅读中找到原因。
以上是php-the-right-way 中写的,不是太明白,求解答.
多谢大家的回答,我从网上找到了详细的信息.
mysql : utf8mb4 的问题
mysql utf8mb4与emoji表情
emoji表情只能用utf8mb4存储,正常的文字只需要3byte存储,emoji需要四个
有一些火星文, 只能用utf8mb4表示, mysql实现的utf8表示不了
utf8mb4 才支持emoji表情的存储

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

AI Hentai Generator
Generate AI Hentai for free.

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 reasons why you cannot log in to MySQL as root are permission problems, configuration file errors, password inconsistent, socket file problems, or firewall interception. The solution includes: check whether the bind-address parameter in the configuration file is configured correctly. Check whether the root user permissions have been modified or deleted and reset. Verify that the password is accurate, including case and special characters. Check socket file permission settings and paths. Check that the firewall blocks connections to the MySQL server.

When MySQL modifys table structure, metadata locks are usually used, which may cause the table to be locked. To reduce the impact of locks, the following measures can be taken: 1. Keep tables available with online DDL; 2. Perform complex modifications in batches; 3. Operate during small or off-peak periods; 4. Use PT-OSC tools to achieve finer control.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

MySQL has a free community version and a paid enterprise version. The community version can be used and modified for free, but the support is limited and is suitable for applications with low stability requirements and strong technical capabilities. The Enterprise Edition provides comprehensive commercial support for applications that require a stable, reliable, high-performance database and willing to pay for support. Factors considered when choosing a version include application criticality, budgeting, and technical skills. There is no perfect option, only the most suitable option, and you need to choose carefully according to the specific situation.

1. Use the correct index to speed up data retrieval by reducing the amount of data scanned select*frommployeeswherelast_name='smith'; if you look up a column of a table multiple times, create an index for that column. If you or your app needs data from multiple columns according to the criteria, create a composite index 2. Avoid select * only those required columns, if you select all unwanted columns, this will only consume more server memory and cause the server to slow down at high load or frequency times For example, your table contains columns such as created_at and updated_at and timestamps, and then avoid selecting * because they do not require inefficient query se

MySQL database performance optimization guide In resource-intensive applications, MySQL database plays a crucial role and is responsible for managing massive transactions. However, as the scale of application expands, database performance bottlenecks often become a constraint. This article will explore a series of effective MySQL performance optimization strategies to ensure that your application remains efficient and responsive under high loads. We will combine actual cases to explain in-depth key technologies such as indexing, query optimization, database design and caching. 1. Database architecture design and optimized database architecture is the cornerstone of MySQL performance optimization. Here are some core principles: Selecting the right data type and selecting the smallest data type that meets the needs can not only save storage space, but also improve data processing speed.

MySQL cannot run directly on Android, but it can be implemented indirectly by using the following methods: using the lightweight database SQLite, which is built on the Android system, does not require a separate server, and has a small resource usage, which is very suitable for mobile device applications. Remotely connect to the MySQL server and connect to the MySQL database on the remote server through the network for data reading and writing, but there are disadvantages such as strong network dependencies, security issues and server costs.
