Implement distributed caching function in Workerman document

To implement the distributed caching function in the Workerman document, specific code examples are required

Introduction:
With the rapid development of the Internet, the number of concurrent visits to applications Increasing. To improve application performance, caching technology can be used to reduce the pressure on the database. In distributed systems, using distributed cache can further improve application performance. This article will introduce how to use Workerman to implement the distributed cache function and provide specific code examples.

1. Introduction to Workerman
Workerman is a high-performance PHP development framework that can be used to build network applications. Compared with traditional PHP applications, Workerman has better performance, higher concurrency and lower resource consumption. Workerman is implemented based on an event-driven model, can handle a large number of concurrent connections, and is suitable for building high-performance distributed systems.

2. Overview of distributed caching
Distributed caching refers to storing cached data distributed on multiple servers, and realizing data reading and writing through network communication. Compared with stand-alone cache, distributed cache can improve cache hit rate and concurrency capabilities, further reducing the pressure on the database.

3. Use Workerman to implement distributed caching function
Implementing distributed caching function in Workerman requires using Redis as the data storage engine. Redis is a high-performance in-memory database that can be used to implement functions such as caching and message queues. The following are the specific steps to use Workerman to implement the distributed cache function:

1. Install the Redis server
   Depending on the operating system, you can choose different ways to install the Redis server. For example, on Ubuntu system, you can use apt-get command to install Redis:

sudo apt-get install redis-server

2. Install Workerman
   You can use Composer to install, just execute the following command in the project directory. Can:

composer require workerman/workerman

3. Write distributed cache server code
   Create a file named "DistributedCacheServer.php" and add the following code:

count = 4; // 创建一个Redis连接 $redis = new Redis(); $redis->connect('127.0.0.1', 6379); // 处理客户端连接 $worker->onConnect = function ($connection) use ($redis) { // 设置connection的缓存对象为redis $connection->cache = $redis; }; // 处理客户端消息 $worker->onMessage = function ($connection, $data) { // 解析请求数据 $request = json_decode($data, true); // 根据请求类型执行相应的操作 switch ($request['type']) { case 'get': // 从缓存中取出数据 $value = $connection->cache->get($request['key']); // 将结果返回给客户端 $connection->send($value); break; case 'set': // 将数据写入缓存 $connection->cache->set($request['key'], $request['value']); // 返回给客户端操作成功的消息 $connection->send('OK'); break; default: // 返回给客户端未知的请求类型 $connection->send('Unknown request type'); break; } }; // 运行worker Worker::runAll(); ?>

4. Writing client code
   Create a file named "DistributedCacheClient.php" and add the following code:

 $type, 'key' => $key, 'value' => $value]); // 发送请求消息 fwrite($client, $request . " "); // 读取服务器响应 $response = fgets($client); return $response; } // 示例：向缓存服务器写入数据 $result = sendRequest('set', 'my_cache_key', 'Hello, Workerman!'); echo "Set cache result: $result "; // 示例：从缓存服务器读取数据 $result = sendRequest('get', 'my_cache_key'); echo "Get cache result: $result "; fclose($client); ?>

5. Run the server and client
   In Execute the following commands on the command line to start the cache server and client respectively:

php DistributedCacheServer.php start -d php DistributedCacheClient.php

Finally, you can verify the implementation of the distributed cache function by observing the output of the client.

Summary:
This article introduces the steps to use Workerman to implement the distributed cache function, and provides specific code examples. By using distributed cache, you can improve application performance, increase concurrency, and reduce pressure on the database. In actual projects, the distributed cache function can be further improved and optimized according to specific needs. I hope this article will be helpful to developers who are using or will use Workerman.

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