PHP implements MySQL read-write separation and needs to implement the following functions:
1. Distinguish between read and write operations: In PHP code, database operations need to be performed To distinguish, place read operations and write operations on different MySQL instances.
You need to design a load balancing solution to evenly distribute read requests to multiple MySQL instances by using different algorithms.
Below, we will introduce in detail how to implement the above functions.
Separate read and write operations
The implementation of MySQL's read and write separation requires the support of MySQL master-slave replication technology. In MySQL master-slave replication, all write operations are performed in the master database, while only read operations are performed in the slave database.
In the PHP code, MySQL read and write operations need to be distinguished, write operations are sent to the main library, and read operations are sent to the slave library.
The following two methods can be used for specific implementation:
1. Manual switching of connections: Manually switch connections for read and write operations in the code. Connect the main database and slave database on different MySQL instances as needed, and execute the corresponding SQL statements.
For example, for the following SQL statement:
SELECT * FROM users WHERE age>18;
You can use the following code to switch connections for read operations:
//生成一个读取从库的连接 $slaveConn = mysqli_connect($slaveHost, $slaveUser, $slavePass, $dbName); mysqli_query($slaveConn, "SET NAMES utf8"); //查询数据 $result = mysqli_query($slaveConn, "SELECT * FROM users WHERE age>18");
Similarly, for write operations:
INSERT INTO users (name,age,sex) VALUES ('jack',18,'male');
The following code can be used to switch connections for write operations:
//生成一个写入主库的连接 $masterConn = mysqli_connect($masterHost, $masterUser, $masterPass, $dbName); mysqli_query($masterConn, "SET NAMES utf8"); //插入数据 $result = mysqli_query($masterConn, "INSERT INTO users (name,age,sex) VALUES ('jack',18,'male')");
In the above code, the mysqli_connect function is used to generate a database connection, and the mysqli_query method is used to operate the MySQL database. Among them, $slaveHost, $slaveUser, and $slavePass are the connection information of the slave library, and $masterHost, $masterUser, and $masterPass are the connection information of the master library.
You can use the built-in implementation in the PHP framework to switch read and write operations. In the Yii2 framework, the following code can be used to switch between read and write operations:
//生成一个读取从库的连接 $slaveConn = Yii::$app->slaveDb->getConnection(); //查询数据 $query = new \yii\db\Query(); $result = $query->from('users')->where(['age' > 18])->all($slaveConn);
Similarly, use the following code to switch between write operations:
//生成一个写入主库的连接 $masterConn = Yii::$app->masterDb->getConnection(); //插入数据 $result = Yii::$app->db->createCommand()->insert('users', [ 'name' => 'jack', 'age' => 18, 'sex' => 'male' ])->execute($masterConn);
In the above code, Yii::$app ->slaveDb and Yii::$app->masterDb are both built-in database connection components of the Yii2 framework, providing methods for reading from the slave library and writing to the master library.
Load balancing strategy
For the implementation of MySQL read and write separation, load balancing is a very important part. Only if all read requests are evenly distributed on each slave database can the advantages of MySQL read and write separation be fully utilized.
Commonly used load balancing strategies include:
1. Random strategy: randomly distribute read requests to each slave database.
2. Polling strategy: allocate read requests to each slave library in turn and use them cyclically.
3. Availability priority strategy: Use an availability monitoring method to select available slave libraries before reading operations.
This article adopts the polling strategy, and the specific implementation is as follows:
//从库连接信息 $slave1 = array( 'host' => 'slave1.host.com', 'user' => 'slave1user', 'pass' => 'slave1pass', 'name' => 'dbname' ); $slave2 = array( 'host' => 'slave2.host.com', 'user' => 'slave2user', 'pass' => 'slave2pass', 'name' => 'dbname' ); $slave3 = array( 'host' => 'slave3.host.com', 'user' => 'slave3user', 'pass' => 'slave3pass', 'name' => 'dbname' ); //增加从库列表 $slaveList = array($slave1, $slave2, $slave3); //轮询获取从库连接信息 function getSlaveConn() { global $slaveList; static $index = 0; if ($index >= count($slaveList)) { $index = 0; } $slave = $slaveList[$index]; $index++; $conn = mysqli_connect($slave['host'], $slave['user'], $slave['pass'], $slave['name']); mysqli_query($conn, "SET NAMES utf8"); return $conn; }
In the above code, $slave1, $slave2, $slave3 are slave library connection information, and $slaveList is the slave library list. In the getSlaveConn function, $index is the number of connections to the slave library. When the number of connections is equal to the length of the slave library list, $index is reset to zero and the connection is reconnected from the first slave library. Each time you connect to a slave library, use the mysqli_connect function to connect to the database.
Through the above implementation, PHP's function of realizing MySQL read and write separation has been implemented. You can use the above code to implement the MySQL read-write separation function in PHP applications, and add or modify load balancing strategies as needed.
In the case of high concurrency and large data volume, using PHP to separate MySQL reading and writing can effectively improve the reading and writing performance of the MySQL database, reduce the application response time, and improve the user experience.
The above is the detailed content of How to realize reading and writing separation in php+mysql. 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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

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

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

Dreamweaver Mac version
Visual web development tools

WebStorm Mac version
Useful JavaScript development tools

Zend Studio 13.0.1
Powerful PHP integrated development environment