目录
- 问题
- 思路
- 解决
- FhRedisConfig.Java
- RedisConfig.java
- Controller.java
- 总结
- 参考
问题
有个项目需要在同一个Spring工程中集成2个redis数据源。
思路
配置2个redis连接工厂，再配置2个redistemplate。然后，在使用缓存的时候，分别注入不同的redistemplate解决这个问题。这里主要是使用了spring中的2个注释：
@Primary:设置默认bean@Qualifier:指定注入bean
解决
FhRedisConfig.java
这个类是配置第2个多余的redis，对application.yml文件中自定义redis配置映射类。如果application.yml文件中有如下配置：
fh: redis: host: 12.86.12.9 password: swdghop port: 6379 database:7
这对应配置类如下：
package com.xxxx.framework.config;
import lombok.Data;
import org.springframework.boot.context.properties.ConfigurationProperties;
/**
* redis配置类
*/
@Data
@ConfigurationProperties(prefix = "fh.redis")
public class FhRedisConfig {
/**
* 主机地址
*/
private String host;
/**
* 密码
*/
private String password;
/**
* Redis 服务器端口号
* 默认值：6379（Redis 默认端口）
*/
private int port = 6381;
/**
* Redis 数据库索引（0-15）
* 默认值：0
*/
private int database = 0;
}
RedisConfig.java
这是redis配置类，这里主要配置2个redis连接工厂，2个redistemplate的bean。而且，使用@Primary设置redistemplate类注入的默认bean为哪个redistemplate的bean。而且，如果增加了对redis集群配置的支持。
package com.xxxx.framework.config;
import io.lettuce.core.cluster.ClusterClientOptions;
import io.lettuce.core.cluster.ClusterTopologyRefreshOptions;
import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.autoconfigure.data.redis.RedisProperties;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.connection.RedisClusterConfiguration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.connection.RedisStaticMasterReplicaConfiguration;
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.core.script.DefaultRedisScript;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.util.CollectionUtils;
import javax.annotation.Resource;
import java.util.List;
/**
* redis配置
*
*/
@Configuration
@EnableCaching
@EnableConfigurationProperties(FhRedisConfig.class)
public class RedisConfig extends CachingConfigurerSupport
{
@Resource
private FhRedisConfig fhRedisConfig;
@Value("${spring.profiles.active:default}")
private String activeProfile;
/**
* 默认redis连接池
* @return 默认redis连接池
*/
@Bean
@Primary
public RedisConnectionFactory redisConnectionFactory(RedisProperties redisProperties) {
// 从 RedisProperties 提取连接池配置（如果存在）
return getRedisConnectionFactory(redisProperties, redisProperties.getHost(), redisProperties.getPort(), redisProperties.getPassword(),
redisProperties.getDatabase(), redisProperties.getCluster() == null ? null : redisProperties.getCluster().getNodes());
}
/**
* redis连接池
* @return redis连接池
*/
@Bean
public RedisConnectionFactory fhRedisConnectionFactory(RedisProperties redisProperties) {
return getRedisConnectionFactory(redisProperties, fhRedisConfig.getHost(), fhRedisConfig.getPort(), fhRedisConfig.getPassword(),
fhRedisConfig.getDatabase(), null);
}
/**
* redis客户端
* @param connectionFactory redis连接池
* @return redis客户端
*/
@Bean
public RedisTemplate<Object, Object> fhRedisTemplate(@Qualifier("fhRedisConnectionFactory")RedisConnectionFactory connectionFactory)
{
return getRedisTemplate(connectionFactory);
}
/**
* 默认redis客户端
* @param connectionFactory 默认redis连接池
* @return 默认redis客户端
*/
@Bean
@Primary
public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory)
{
return getRedisTemplate(connectionFactory);
}
private static RedisTemplate<Object, Object> getRedisTemplate(RedisConnectionFactory connectionFactory) {
RedisTemplate<Object, Object> template = new RedisTemplate<>();
template.setConnectionFactory(connectionFactory);
Fastjson2JsonRedisSerializer<Object> serializer = new FastJson2JsonRedisSerializer<>(Object.class);
// 使用StringRedisSerializer来序列化和反序列化redis的key值
template.setKeySerializer(new StringRedisSerializer());
template.setValueSerializer(serializer);
// Hash的key也采用StringRedisSerializer的序列化方式
template.setHashKeySerializer(new StringRedisSerializer());
template.setHashValueSerializer(serializer);
template.afterPropertiesSet();
return template;
}
private RedisConnectionFactory getRedisConnectionFactory(RedisProperties redisProperties, String host, int port, String password, int database, List<String> nodes) {
LettuceConnectionFactory lettuceConnectionFactory;
// 根据是否是集群模式选择不同的配置
javascriptif (!CollectionUtils.isEmpty(nodes)) {
// 配置集群拓扑刷新选项
ClusterTopologyRefreshOptions refreshOptions = ClusterTopologyRefreshOptions.builder()
.refreshPeriod(redisProperties.getLettuce().getCluster().getRefresh().getPeriod())
.enableAdaptiveRefreshTrigger(
ClusterTopologyRefreshOptions.RefreshTrigger.MOVED_REDIRECT,
ClusterTopologyRefreshOptions.RefreshTrigger.PERSISTENT_RECONNECTS)
.build();
ClusterClientOptions clientOptions = ClusterClientOptions.builder()
.topologyRefreshOptions(refreshOptions)
.build();
GenericObjectPoolConfig<?> poolConfig = getGenericObjectPoolConfig(redisProperties);
LettucePoolingClientConfiguration.LettucePoolingSslClientConfigurationBuilder lettucePoolingSslClientConfigurationBuilder = LettucePoolingClientConfiguration.builder()
.clientOptions(clientOptions)
.poolConfig(poolConfig) // 关键：设置连接池
.commandTimeout(redisProperties.getTimeout())
.useSsl();
if (!activeProfile.equals("prod")) {
lettucePoolingSslClientConfigurationBuilder.disablePeerVerification();
}
LettucePoolingClientConfiguration poolingClientConfig = lettucePoolingSslClientConfigurationBuilder.build();
// 创建集群配置
RedisClusterConfiguration clusterConfig = new RedisClusterConfiguration(nodes);
http://www.devze.com clusterConfig.setPassword(password);
// 创建 LettuceConnectionFactory
lettuceConnectionFactory = new LettuceConnectionFactory(clusterConfig, poolingClientConfig);
} else {
// 非集群模式保持原逻辑
GenericObjectPoolConfig<?> poolConfig = getGenericObjectPoolConfig(redisProperties);
LettucePoolingClientConfiguration.LettucePoolingSslClientConfigurationBuilder lettucePoolingSslClientConfigurationBuilder = LettucePoolingClientConfiguration.builder()
.poolConfig(poolConfig) // 关键：设置连接池
.commandTimeout(redisProperties.getTimeout())
.useSsl();
if (!activeProfile.equals("prod")) {
lettucePoolingSslClientConfigurationBuilder.disablePeerVerification();
}
RedisStaticMasterReplicaConfiguration serverConfig = new RedisStaticMasterReplicaConfiguration(host, port);
serverConfig.setPassword(password);
编程客栈 LettucePoolingClientConfiguration poolingClientConfig = lettucePoolingSslClientConfigurationBuilder.build();
lettuceConnectionFactory = new LettuceConnectionFactory(serverConfig, poolingClientConfig);
}
lettuceConnectionFactory.setDatabase(database);
return lettuceConnectionFactory;
}
private static GenericObjectPoolConfig<?> getGenericObjectPoolConfig(RedisProperties redisPropertiewww.devze.coms) {
GenericObjectPoolConfig<?> poolConfig = new GenericObjectPoolConfig<>();
if (redisProperties.getLettuce().getPool() != null) {
RedisProperties.Pool poolProps = redisProperties.getLettuce().getPool();
poolConfig.setMaxTotal(poolProps.getMaxActive()); // max-active
poolConfig.setMaxIdle(poolProps.getMaxIdle()); // max-idle
poolConfig.setMinIdle(poolProps.getMinIdle()); // min-idle
poolConfig.setMaxWaitMillis(poolProps.getMaxWait().toMillis()); // max-wait
}
return poolConfig;
}
}
注意@Qualifier注释的使用，这里使用指定了特定的redis连接工厂。下面的在业务代码中注入redistemaplte的时候，也需要使用呢@Qualifier注释来使用特定的redis集群。
Controller.java
这是业务代码中，注入使用特定的redis集群，如下代码：
@Resource
@Qualifier("fhRedphpisTemplate")
private RedisTemplate<String, Integer> fhRedisTemplate;
如果不需要使用特定redis，只需要使用默认redis则不需要@Qualifier注释，如下：
@Resource public RedisTemplate redisTemplate;
总结
这就是Spring项目redis多数据源问题。主要就是通过@Primary注释来配置默认bean，通过@Qualifier注释来指定使用的bean。
参考
- Multiple Redis Connections in Spring Boot
- Spring Boot Redis CRUD Example
- The Spring @Qualifier Annotation
- Connection Modes
- 【Redis】Integration with Spring Boot
- Accessing AWS ElastiCache (Redis) from different Amazon VPC(s) via AWS PrivateLink
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