springboot2.x版本整合redis(单机/集群)(使用lettuce)

2023-06-06,,

springboot1.x系列中,其中使用的是jedis,但是到了springboot2.x其中使用的是Lettuce。 此处springboot2.x,所以使用的是Lettuce
关于jedislettuce的区别:

Lettuce 和 Jedis 的定位都是Redis的client,所以他们当然可以直接连接redis server。
Jedis在实现上是直接连接的redis server,如果在多线程环境下是非线程安全的,这个时候只有使用连接池,为每个Jedis实例增加物理连接
Lettuce的连接是基于Netty的,连接实例(StatefulRedisConnection)可以在多个线程间并发访问,应为StatefulRedisConnection是线程安全的,所以一个连接实例(StatefulRedisConnection)就可以满足多线程环境下的并发访问,当然这个也是可伸缩的设计,一个连接实例不够的情况也可以按需增加连接实例。

新建一个springboot工程,添加如下pom依赖。

<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency> <dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency> <dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency> <!-- redis依赖commons-pool 这个依赖一定要添加 -->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>

然后在application.yml配置一下redis服务器的地址

server:
port: 1015
spring:
redis:
cache:
nodes: -192.168.159.129:7001
-192.168.159.129:7002
-192.168.159.129:7003
-192.168.159.129:7004
-192.168.159.129:7005
-192.168.159.129:7006
host: localhost:6379
password:
maxIdle:
minIdle:
maxTotal:
maxWaitMillis: 5000

其中nodes为集群redis的参数 host为单机redis的参数

redis配置类:

package webapp.conf;

import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisClusterConfiguration;
import org.springframework.data.redis.connection.RedisNode;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceConnectionFactory;
import org.springframework.data.redis.connection.lettuce.LettucePoolingClientConfiguration;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.SerializationException; import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.util.HashSet;
import java.util.Set; @Configuration
public class RedisConfiguration {
@Value("${spring.redis.cache.nodes:}")
private String nodes;
@Value("${spring.redis.cache.host:}")
private String host;
@Value("${spring.redis.cache.password:}")
private String password;
@Value("${spring.redis.cache.maxIdle:}")
private Integer maxIdle;
@Value("${spring.redis.cache.minIdle:}")
private Integer minIdle;
@Value("${spring.redis.cache.maxTotal:}")
private Integer maxTotal;
@Value("${spring.redis.cache.maxWaitMillis:}")
private Long maxWaitMillis; @Bean
LettuceConnectionFactory lettuceConnectionFactory() {
// 连接池配置
GenericObjectPoolConfig poolConfig = new GenericObjectPoolConfig();
poolConfig.setMaxIdle(maxIdle == null ? 8 : maxIdle);
poolConfig.setMinIdle(minIdle == null ? 1 : minIdle);
poolConfig.setMaxTotal(maxTotal == null ? 8 : maxTotal);
poolConfig.setMaxWaitMillis(maxWaitMillis == null ? 5000L : maxWaitMillis);
LettucePoolingClientConfiguration lettucePoolingClientConfiguration = LettucePoolingClientConfiguration.builder()
.poolConfig(poolConfig)
.build();
// 单机redis
RedisStandaloneConfiguration redisConfig = new RedisStandaloneConfiguration();
redisConfig.setHostName(host==null||"".equals(host)?"localhost":host.split(":")[0]);
redisConfig.setPort(Integer.valueOf(host==null||"".equals(host)?"6379":host.split(":")[1]));
if (password != null && !"".equals(password)) {
redisConfig.setPassword(password);
} // 哨兵redis
// RedisSentinelConfiguration redisConfig = new RedisSentinelConfiguration(); // 集群redis
/*RedisClusterConfiguration redisConfig = new RedisClusterConfiguration();
Set<RedisNode> nodeses = new HashSet<>();
String[] hostses = nodes.split("-");
for (String h : hostses) {
h = h.replaceAll("\\s", "").replaceAll("\n", "");
if (!"".equals(h)) {
String host = h.split(":")[0];
int port = Integer.valueOf(h.split(":")[1]);
nodeses.add(new RedisNode(host, port));
}
}
redisConfig.setClusterNodes(nodeses);
// 跨集群执行命令时要遵循的最大重定向数量
redisConfig.setMaxRedirects(3);
redisConfig.setPassword(password);*/ return new LettuceConnectionFactory(redisConfig, lettucePoolingClientConfiguration);
} @Bean
public RedisTemplate<String, Object> redisTemplate(LettuceConnectionFactory lettuceConnectionFactory) {
RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(lettuceConnectionFactory);
//序列化类
MyRedisSerializer myRedisSerializer = new MyRedisSerializer();
//key序列化方式
template.setKeySerializer(myRedisSerializer);
//value序列化
template.setValueSerializer(myRedisSerializer);
//value hashmap序列化
template.setHashValueSerializer(myRedisSerializer);
return template;
} static class MyRedisSerializer implements RedisSerializer<Object> { @Override
public byte[] serialize(Object o) throws SerializationException {
return serializeObj(o);
} @Override
public Object deserialize(byte[] bytes) throws SerializationException {
return deserializeObj(bytes);
} /**
* 序列化
* @param object
* @return
*/
private static byte[] serializeObj(Object object) {
ObjectOutputStream oos = null;
ByteArrayOutputStream baos = null;
try {
baos = new ByteArrayOutputStream();
oos = new ObjectOutputStream(baos);
oos.writeObject(object);
byte[] bytes = baos.toByteArray();
return bytes;
} catch (Exception e) {
throw new RuntimeException("序列化失败!", e);
}
} /**
* 反序列化
* @param bytes
* @return
*/
private static Object deserializeObj(byte[] bytes) {
if (bytes == null){
return null;
}
ByteArrayInputStream bais = null;
try {
bais = new ByteArrayInputStream(bytes);
ObjectInputStream ois = new ObjectInputStream(bais);
return ois.readObject();
} catch (Exception e) {
throw new RuntimeException("反序列化失败!", e);
}
}
}
}

以上已经完成整合教程,测试案例:

注入:

@Autowired
private RedisTemplate<String, Object> redisTemplate;

添加:

redisTemplate.opsForValue().set(key, value);

添加,设置过期时间:

redisTemplate.opsForValue().set(key, obj, expireTime, TimeUnit.SECONDS);

获取:

Object o = redisTemplate.opsForValue().get(key);

删除:

redisTemplate.delete(key);

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