集成开发(暂以Java为例)

Java

对比维度 Jedis Lettuce Spring Data Redis
底层实现 原生 Socket 直连 Netty 异步非阻塞 封装了 Jedis 或 Lettuce
线程安全 ❌ 不安全(需连接池) ✅ 安全(自带连接池) ✅ 安全(由底层客户端决定)
连接复用 需要手动管理连接池 自带连接池,支持复用 通过配置选择 Jedis/Lettuce
API 设计 接口直接对应 Redis 命令 支持同步/异步/响应式编程 提供更高级别的抽象 API
集成 Spring 可以集成但不如 Spring Data Redis 简洁 可以集成但不如 Spring Data Redis 简洁 ✅ 最推荐的 Spring 整合方式
适合场景 轻量级项目、学习用途 高并发、分布式系统 Spring Boot 项目首选

Jedis

依赖载入

<dependency>
    <groupId>redis.clients</groupId>
    <artifactId>jedis</artifactId>
    <!-- <version>3.2.0</version> -->
</dependency>

基本用法

// 进行简单的redis操作
import com.alibaba.fastjson2.JSONObject;

import redis.clients.jedis.Jedis;
import redis.clients.jedis.Transaction;

public class TestJedis {
    public static void main(String[] args) {
        try (Jedis jedis = new Jedis("localhost", 6379);) {
            System.out.println(jedis.auth("123456"));
            System.out.println(jedis.ping());
            System.out.println(jedis.select(1));
            System.out.println(jedis.dbSize());
            String select = jedis.select(0);

            JSONObject jsonObject = new JSONObject();
            jsonObject.put("name", "ssydx");
            jsonObject.put("age", 25);
            String jsonString = jsonObject.toJSONString();

            Transaction multi = jedis.multi();
            multi.set("name", "ssydx");
            multi.set("age", "25");
            multi.set("user", jsonString);
            multi.exec();

            String name = jedis.get("name");
            String age = jedis.get("age");
            String user = jedis.get("user");
            System.out.println(name);
            System.out.println(age);
            System.out.println(user);

            jedis.flushDB();

            jedis.quit();
        }
    }
}

Lettuce

采用netty,线程安全,自带连接池,天生支持连接复用

依赖载入

<dependency>
    <groupId>io.lettuce</groupId>
    <artifactId>lettuce-core</artifactId>
    <!-- <version>5.2.2.RELEASE</version> -->
</dependency>

基本用法

import io.lettuce.core.RedisClient;
import io.lettuce.core.RedisURI;
import io.lettuce.core.api.StatefulRedisConnection;
import io.lettuce.core.api.sync.RedisCommands;

public class TestLettuce {
    public static void main(String[] args) {
        // 构建带认证信息的 URI
        RedisURI redisURI = RedisURI.Builder.redis("localhost", 6379)
                .withPassword("123456".toCharArray())
                .build();
        
        // 创建Redis客户端
        RedisClient redisClient = RedisClient.create(redisURI);

        // 获取连接
        StatefulRedisConnection<String, String> connection = redisClient.connect();

        // 获取同步命令
        RedisCommands<String, String> syncCommands = connection.sync();

        // 执行一些命令
        syncCommands.set("key", "Hello, Redis!");
        System.out.println(syncCommands.get("key"));

        // 关闭连接
        connection.close();

        // 关闭客户端
        redisClient.shutdown();
    
    }
}

Spring Data Redis

载入依赖

<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis</artifactId>
    <!-- <version>3.4.5</version> -->
</dependency>

配置类

// 如果不进行自定义RedisTemplate,对象存储会采用Java序列化机制,POJO类必须实现IMPLEMENT接口
// Java序列化机制还会造成数据库乱码(不可直接阅读),因此推荐使用JSON序列化机制
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

@Configuration
public class RedisConfig {

	@Bean
	public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
		RedisTemplate<String, Object> template = new RedisTemplate<>();
		template.setConnectionFactory(redisConnectionFactory);

        StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
        Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);
		// 配置序列化器
        template.setKeySerializer(stringRedisSerializer);
        template.setHashKeySerializer(stringRedisSerializer);
        template.setValueSerializer(jackson2JsonRedisSerializer);
        template.setHashKeySerializer(jackson2JsonRedisSerializer);

		return template;
	}

}

POJO类

import java.io.Serializable;

import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;

@Data
@AllArgsConstructor
@NoArgsConstructor
// 由于使用了Jackson的序列化,此处不序列化也行
public class User implements Serializable {
    private String name;
    private Integer age;
}

基本用法

// 仅作为演示,实际通常会包装一个redis工具类,而不是直接使用template
import java.util.Properties;
import java.util.Set;

import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;

@SpringBootTest
public class TestRedis {
    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    @Autowired
    private RedisTemplate<String, Object> redisTemplate;

    @Test
    void test() {
        
		System.out.println("RedisTemplate: " + stringRedisTemplate);

        String requirepasswd = stringRedisTemplate.execute(new RedisCallback<String>() {
            @Override
            public String doInRedis(RedisConnection connection) throws DataAccessException {
                Properties config = connection.getConfig("requirepass");
                return config.getProperty("requirepass");
            }
        });
        System.out.println(requirepasswd);
    
		stringRedisTemplate.opsForValue().set("name", "ssydx");
        stringRedisTemplate.opsForList().leftPush("ls", "ssydx");
        stringRedisTemplate.opsForSet().add("set", "ssydx");
        stringRedisTemplate.opsForHash().put("hash", "name", "ssydx");
        stringRedisTemplate.opsForZSet().add("zset", "ssydx", 1);

        Set<String> keys = stringRedisTemplate.keys("*");
        System.out.println(keys);

        stringRedisTemplate.execute(new RedisCallback<Void>() {
            @Override
            public Void doInRedis(RedisConnection connection) throws DataAccessException {
                connection.flushDb();
                return null;
            }
        });



        User user = new User("ssydx", 25);
        redisTemplate.opsForValue().set("user", user);
        System.out.println(redisTemplate.opsForValue().get("user"));
        redisTemplate.delete("user");

    }
}

#redis#
Redis 文章被收录于专栏

此专栏由于更新观看不便,不会保持及时更新,最新更新见计算机合集专栏https://www.nowcoder.com/creation/manager/columnDetail/04yp33

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