springboot redis使用lettuce配置多数据源的实现
作者：cccccloud.com
这篇文章主要介绍了springboot redis使用lettuce配置多数据源的实现，文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值，需要的朋友们下面随着小编来一起学习学习吧
目前项目上需要连接两个redis数据源，一个redis数据源是单机模式，一个redis数据源是分片集群模式，这里将具体配置列一下。
项目用的springboot版本为
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.2.1.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
一、在yml中配置redis数据源信息
redis:
cluster:
nodes: 127.0.0.1:9001
lettuce:
#连接池配置
pool:
#连接池最大连接数
max-active: 20
#连接池最大等待时间，负数表示不做限制
max-wait: -1
#最大空闲连接
max-idle: 9
#最小空闲连接
min-idle: 0
timeout: 500000
redis2:
host: 127.0.0.1
port: 6385
lettuce:
pool:
max-active: 20
max-idle: 8
max-wait: -1
min-idle: 0
timeout: 500000
（这里的redis都没有配置密码）
二、添加redis配置类
package com.cq.config;
import cn.hutool.core.convert.Convert;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.env.Environment;
import org.springframework.core.env.MapPropertySource;
import org.springframework.data.redis.connection.RedisClusterConfiguration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisStandaloneConfiguration;
import org.springframework.data.redis.connection.lettuce.LettuceClientConfiguration;
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.StringRedisSerializer;
import java.io.Serializable;
import java.util.HashMap;
import java.util.Map;
/**
* @author cccccloud on 2020/11/16 17:16
*/
@Configuration
public class RedisConfig {
@Autowired
private Environment environment;
@Value("${spring.redis2.host}")
private String host;
@Value("${spring.redis2.port}")
private String port;
@Value("${spring.redis2.lettuce.pool.max-active}")
private String max_active;
@Value("${spring.redis2.lettuce.pool.max-idle}")
private String max_idle;
@Value("${spring.redis2.lettuce.pool.max-wait}")
private String max_wait;
@Value("${spring.redis2.lettuce.pool.min-idle}")
private String min_idle;
/**
* 配置lettuce连接池
*
* @return
*/
@Bean
@Primary
@ConfigurationProperties(prefix = "spring.redis.cluster.lettuce.pool")
public GenericObjectPoolConfig redisPool() {
return new GenericObjectPoolConfig();
}
/**
* 配置第一个数据源的
*
* @return
*/
@Bean("redisClusterConfig")
@Primary
public RedisClusterConfiguration redisClusterConfig() {
Map<String, Object> source = new HashMap<>(8);
source.put("spring.redis.cluster.nodes", environment.getProperty("spring.redis.cluster.nodes"));
RedisClusterConfiguration redisClusterConfiguration;
redisClusterConfiguration = new RedisClusterConfiguration(new MapPropertySource("RedisClusterConfiguration", source));
redisClusterConfiguration.setPassword(environment.getProperty("spring.redis.password"));
return redisClusterConfiguration;
}
/**
* 配置第一个数据源的连接工厂
* 这里注意：需要添加@Primary 指定bean的名称，目的是为了创建两个不同名称的LettuceConnectionFactory
*
* @param redisPool
* @param redisClusterConfig
* @return
*/
@Bean("lettuceConnectionFactory")
@Primary
public LettuceConnectionFactory lettuceConnectionFactory(GenericObjectPoolConfig redisPool, @Qualifier("redisClusterConfig") RedisClusterConfiguration redisClusterConfig) {
LettuceClientConfiguration clientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(redisPool).build();
return new LettuceConnectionFactory(redisClusterConfig, clientConfiguration);
}
/**
* 配置第一个数据源的RedisTemplate
* 注意：这里指定使用名称=factory 的 RedisConnectionFactory
* 并且标识第一个数据源是默认数据源 @Primary
*
* @param redisConnectionFactory
* @return
*/
@Bean("redisTemplate")
@Primary
public RedisTemplate redisTemplate(@Qualifier("lettuceConnectionFactory") RedisConnectionFactory redisConnectionFactory) {
RedisTemplate<String, Object> template = new RedisTemplate<>();
template.setConnectionFactory(redisConnectionFactory);
StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
// key采用String的序列化方式
template.setKeySerializer(stringRedisSerializer);
// hash的key也采用String的序列化方式
template.setHashKeySerializer(stringRedisSerializer);
// value序列化方式采用jackson
template.setValueSerializer(stringRedisSerializer);
// hash的value序列化方式采用jackson
template.setHashValueSerializer(stringRedisSerializer);
template.afterPropertiesSet();
return template;
}
@Bean
public GenericObjectPoolConfig redisPool2() {
GenericObjectPoolConfig config = new GenericObjectPoolConfig();
config.setMinIdle(Convert.toInt(min_idle));
config.setMaxIdle(Convert.toInt(max_idle));
config.setMaxTotal(Convert.toInt(max_active));
config.setMaxWaitMillis(Convert.toInt(max_wait));
return config;
}
@Bean
public RedisStandaloneConfiguration redisConfig2() {
RedisStandaloneConfiguration redisConfig = new RedisStandaloneConfiguration(host,Convert.toInt(port));
return redisConfig;
}
@Bean("factory2")
public LettuceConnectionFactory factory2(@Qualifier("redisPool2") GenericObjectPoolConfig config,
@Qualifier("redisConfig2") RedisStandaloneConfiguration redisConfig) {//注意传入的对象名和类型RedisStandaloneConfiguration
LettuceClientConfiguration clientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(config).build();
return new LettuceConnectionFactory(redisConfig, clientConfiguration);
}
/**
* 单实例redis数据源
*
* @param connectionFactory
* @return
*/
@Bean("redisTemplateSingle")
public RedisTemplate<String, Object> redisTemplateSingle(@Qualifier("factory2")LettuceConnectionFactory connectionFactory) {//注意传入的对象名
RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();
redisTemplate.setConnectionFactory(connectionFactory);
RedisSerializer<String> redisSerializer = new StringRedisSerializer();
redisTemplate.setKeySerializer(redisSerializer);
redisTemplate.setValueSerializer(redisSerializer);
redisTemplate.setHashKeySerializer(redisSerializer);
redisTemplate.setHashValueSerializer(redisSerializer);
return redisTemplate;
}
}
三、使用redis
使用单实例redis
/**
* redis 单节点
*/
@Resource(name = "redisTemplateSingle")
private RedisTemplate redisTemplateSingle;
使用redis集群
/**
* redis 集群
*/
@Resource(name = "redisTemplate")
private RedisTemplate redisTemplate;
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