pom

<!-- 引入spring-data-redis组件 -->
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId><exclusions><!-- 因springboot2.x中默认集成了lettuce，因此需要排掉该依赖 --><exclusion><artifactId>lettuce-core</artifactId><groupId>io.lettuce</groupId></exclusion></exclusions>
</dependency>
<!-- 引入redisson对springboot的集成适配包 -->
<dependency><groupId>org.redisson</groupId><artifactId>redisson-spring-boot-starter</artifactId><version>${redisson.version}</version>
</dependency>

配置

@Configuration
public class RedisConfiguration {@Value("${redis.address}")private String redisAddress;@Value("${redis.password:}")private String redisPassword;@Value("${redis.database:0}")private Integer redisDatabase = 0;@Value("${redis.connect.timeout:3000}")private Integer redisConnectTimeout = 3000;@Value("${redis.cluster.address}")private List<String> redisClusterAddress;@Value("${redis.cluster.scan.interval:5000}")private Integer redisClusterScanInterval = 5000;@Value("${redis.password:}")private String redisPassword;@Value("${redis.connect.timeout:3000}")private Integer redisConnectTimeout = 3000;@Value("${redis.connection.idle.timeout:10000}")private Integer redisConnectionIdleTimeout = 10000;@Value("${redis.connection.ping.interval:1000}")private Integer redisConnectionPingInterval = 1000;@Value("${redis.timeout:2000}")private Integer timeout = 2000;@Value("${redis.retry.attempts:3}")private Integer redisRetryAttempts = 3;@Value("${redis.retry.interval:200}")private Integer redisRetryInterval = 200;@Value("${redis.master.connection.pool.min.size:50}")private Integer redisMasterConnectionPoolMinSize = 50;@Value("${redis.master.connection.pool.max.size:200}")private Integer redisMasterConnectionPoolMaxSize = 200;@Value("${redis.connection.idle.timeout:10000}")private Integer redisConnectionIdleTimeout = 10000;@Value("${redis.connection.ping.interval:1000}")private Integer redisConnectionPingInterval = 1000;@Value("${redis.timeout:2000}")private Integer timeout = 2000;@Value("${redis.connection.pool.min.size:50}")private Integer redisConnectionPoolMinSize;@Value("${redis.connection.pool.max.size:200}")private Integer redisConnectionPoolMaxSize;@Value("${redis.retry.attempts:3}")private Integer redisRetryAttempts = 3;@Value("${redis.retry.interval:200}")private Integer redisRetryInterval = 200;单机
@Beanpublic RedissonConnectionFactory redissonConnectionFactory(Config
redissonSingleServerConfig) {return new RedissonConnectionFactory(redissonSingleServerConfig);}@Beanpublic Config redissonSingleServerConfig() {Config redissonConfig = new Config();SingleServerConfig serverConfig = redissonConfig.useSingleServer();serverConfig.setAddress(redisAddress);serverConfig.setConnectionMinimumIdleSize(redisConnectionPoolMinSize);serverConfig.setConnectionPoolSize(redisConnectionPoolMaxSize);serverConfig.setDatabase(redisDatabase);serverConfig.setPassword(redisPassword);serverConfig.setConnectTimeout(redisConnectTimeout);serverConfig.setIdleConnectionTimeout(redisConnectionIdleTimeout);serverConfig.setPingConnectionInterval(redisConnectionPingInterval);serverConfig.setTimeout(timeout);serverConfig.setRetryAttempts(redisRetryAttempts);serverConfig.setRetryInterval(redisRetryInterval);redissonConfig.setCodec(new JsonJacksonCodec());return redissonConfig;}主备
@Beanpublic RedissonConnectionFactory redissonConnectionFactory(Config
redissonMasterSlaveServersConfig) {return new RedissonConnectionFactory(redissonMasterSlaveServersConfig);}@Beanpublic Config redissonMasterSlaveServersConfig() {Config redissonConfig = new Config();MasterSlaveServersConfig serverConfig = redissonConfig.useMasterSlaveServers();serverConfig.setMasterAddress(redisMasterAddress);serverConfig.setDatabase(redisDatabase);serverConfig.setPassword(redisPassword);serverConfig.setMasterConnectionMinimumIdleSize(redisMasterConnectionPoolMinSize);serverConfig.setMasterConnectionPoolSize(redisMasterConnectionPoolMaxSize);serverConfig.setReadMode(ReadMode.MASTER_SLAVE);serverConfig.setSubscriptionMode(SubscriptionMode.MASTER);serverConfig.setConnectTimeout(redisConnectTimeout);serverConfig.setIdleConnectionTimeout(redisConnectionIdleTimeout);serverConfig.setPingConnectionInterval(redisConnectionPingInterval);serverConfig.setTimeout(timeout);serverConfig.setRetryAttempts(redisRetryAttempts);serverConfig.setRetryInterval(redisRetryInterval);redissonConfig.setCodec(new JsonJacksonCodec());return redissonConfig;}集群
@Beanpublic RedissonConnectionFactory redissonConnectionFactory(Config
redissonClusterServersConfig) {return new RedissonConnectionFactory(redissonClusterServersConfig);}@Beanpublic Config redissonClusterServersConfig() {Config redissonConfig = new Config();ClusterServersConfig serverConfig = redissonConfig.useClusterServers();serverConfig.setNodeAddresses(redisClusterAddress);serverConfig.setScanInterval(redisClusterScanInterval);serverConfig.setPassword(redisPassword);serverConfig.setMasterConnectionMinimumIdleSize(redisMasterConnectionPoolMinSize);serverConfig.setMasterConnectionPoolSize(redisMasterConnectionPoolMaxSize);serverConfig.setReadMode(ReadMode.MASTER);serverConfig.setSubscriptionMode(SubscriptionMode.MASTER);serverConfig.setConnectTimeout(redisConnectTimeout);serverConfig.setIdleConnectionTimeout(redisConnectionIdleTimeout);serverConfig.setPingConnectionInterval(redisConnectionPingInterval);serverConfig.setTimeout(timeout);serverConfig.setRetryAttempts(redisRetryAttempts);serverConfig.setRetryInterval(redisRetryInterval);redissonConfig.setCodec(new JsonJacksonCodec());return redissonConfig;}
}

链接配置建议

读取模式-readMode
建议采⽤ MASTER，即Master节点承担所有的读写流量，⼀⽅⾯避免数据因主从同步时延带来的⼀致性问题；另⼀⽅⾯，
如从节点故障，配置值=SLAVE，所有读请求会触发报错；配置值=MASTER_SLAVE，部分读请求会触发异常。读报错会持
续failedSlaveCheckInterval（默认30S）时间，直⾄从可⽤节点列表中摘除。
如需读写流量分流处理，DCS服务提供了针对读写流量分流的实例类型-读写分离，通过在中间架设代理节点实现读写流
量分发，遇到从节点故障时，⾃动切流⾄主节点，对业务应⽤⽆感知，且故障感知时间窗⼝远⼩于redisson内部的时间
窗⼝。
订阅模式-subscriptionMode
建立采⽤ MASTER，原理同上
连接池配置
连接池的⼤⼩没有绝对的标准，建议根据业务流量进⾏合理配置，⼀般连接池⼤⼩的参数计算公式如下
最⼩连接数 = (单机访问Redis QPS) / (1000ms / 单命令平均耗时)
最⼤连接数 = (单机访问Redis QPS) / (1000ms / 单命令平均耗时) * 150%
举例：某个业务应⽤的QPS为10000左右，每个请求需访问redis10次，也意味着每秒对redis的访问次数为100000次，
同时该业务应⽤有10台机器，计算如下
单机访问Redis QPS = 100000 / 10 = 10000
单命令访问耗时 = 20ms （redis处理单命令耗时为5_{10ms，遇到⽹络抖动按照15}20ms来估算）
最⼩连接数 = (10000) / （1000ms / 20ms）= 200
最⼤连接数 = (10000) / （1000ms / 20ms）* 150% = 300
以上计算⽅式只适⽤于⼀般业务场景，建议根据业务情况做适当调整适配
重试配置
redisson中⽀持重试配置，主要是如下两个参数，建议根据业务情况配置合理值，⼀般重试次数为3，重试间隔为200ms
左右
retryAttemps - 配置重试次数
retryInterval - 配置重试时间间隔