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;
@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;
@Bean
@Primary
@ConfigurationProperties(prefix = "spring.redis.cluster.lettuce.pool")
public GenericObjectPoolConfig redisPool() {
return new GenericObjectPoolConfig();
}
@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;
}
@Bean("lettuceConnectionFactory")
@Primary
public LettuceConnectionFactory lettuceConnectionFactory(GenericObjectPoolConfig redisPool, @Qualifier("redisClusterConfig") RedisClusterConfiguration redisClusterConfig) {
LettuceClientConfiguration clientConfiguration = LettucePoolingClientConfiguration.builder().poolConfig(redisPool).build();
return new LettuceConnectionFactory(redisClusterConfig, clientConfiguration);
}
@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);
}
@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
@Resource(name = "redisTemplateSingle")
private RedisTemplate redisTemplateSingle;
使用redis集群
@Resource(name = "redisTemplate")
private RedisTemplate redisTemplate;
到此这篇关于springboot redis使用lettuce配置多数据源的实现的文章就介绍到这了,更多相关springboot lettuce多数据源内容请搜索编程网以前的文章或继续浏览下面的相关文章希望大家以后多多支持编程网！
