Java通过Lettuce访问Redis主从,哨兵,集群
操作
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首先需要maven导入依赖
<dependency><groupId>io.lettuce</groupId><artifactId>lettuce-core</artifactId><version>6.3.0.RELEASE</version>
</dependency>
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测试连接
public class LettuceDemo {public static void main(String[] args) {RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();RedisClient redisClient = RedisClient.create(redisUri);StatefulRedisConnection<String, String> connection = redisClient.connect();RedisCommands<String, String> commands = connection.sync();System.out.println(commands.ping());connection.close();redisClient.shutdown();}
}
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同步操作
public class LettuceSyncDemo {public static void main(String[] args) {RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();RedisClient redisClient = RedisClient.create(redisUri);StatefulRedisConnection<String, String> connection = redisClient.connect();//获取同步操作命令工具RedisCommands<String, String> commands = connection.sync();System.out.println("清空数据:"+commands.flushdb());System.out.println("判断某个键是否存在:"+commands.exists("username"));System.out.println("新增<'username','xmr'>的键值对:"+commands.set("username", "xmr"));System.out.println("新增<'password','password'>的键值对:"+commands.set("password", "123"));System.out.println("获取<'password'>键的值:"+commands.get("password"));System.out.println("系统中所有的键如下:" + commands.keys("*"));System.out.println("删除键password:"+commands.del("password"));System.out.println("判断键password是否存在:"+commands.exists("password"));System.out.println("设置键username的过期时间为5s:"+commands.expire("username", 5L));System.out.println("查看键username的剩余生存时间:"+commands.ttl("username"));System.out.println("移除键username的生存时间:"+commands.persist("username"));System.out.println("查看键username的剩余生存时间:"+commands.ttl("username"));System.out.println("查看键username所存储的值的类型:"+commands.type("username"));connection.close();redisClient.shutdown();}
}
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异步操作
public class LettuceASyncDemo {public static void main(String[] args) throws Exception {RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();RedisClient redisClient = RedisClient.create(redisUri);StatefulRedisConnection<String, String> connection = redisClient.connect();//获取异步操作命令工具RedisAsyncCommands<String, String> commands = connection.async();System.out.println("清空数据:"+commands.flushdb().get());System.out.println("判断某个键是否存在:"+commands.exists("username").get());System.out.println("新增<'username','xmr'>的键值对:"+commands.set("username", "xmr").get());System.out.println("新增<'password','password'>的键值对:"+commands.set("password", "123").get());System.out.println("获取<'password'>键的值:"+commands.get("password").get());System.out.println("系统中所有的键如下:" + commands.keys("*").get());System.out.println("删除键password:"+commands.del("password").get());System.out.println("判断键password是否存在:"+commands.exists("password").get());System.out.println("设置键username的过期时间为5s:"+commands.expire("username", 5L).get());System.out.println("查看键username的剩余生存时间:"+commands.ttl("username").get());System.out.println("移除键username的生存时间:"+commands.persist("username").get());System.out.println("查看键username的剩余生存时间:"+commands.ttl("username").get());System.out.println("查看键username所存储的值的类型:"+commands.type("username").get());connection.close();redisClient.shutdown();}
}
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响应式编程
Lettuce 除了支持异步编程以外,还支持响应式编程,Lettuce 引入的响应式编程框架是Project Reactor
,框架官网:https://projectreactor.io/
public class LettuceReactorDemo {public static void main(String[] args) throws Exception {RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();RedisClient redisClient = RedisClient.create(redisUri);StatefulRedisConnection<String, String> connection = redisClient.connect();//获取响应式API操作命令工具RedisReactiveCommands<String, String> commands = connection.reactive();Mono<String> setc = commands.set("name", "mayun");System.out.println(setc.block());Mono<String> getc = commands.get("name");getc.subscribe(System.out::println);Flux<String> keys = commands.keys("*");keys.subscribe(System.out::println);//开启一个事务,先把count设置为1,再将count自增1commands.multi().doOnSuccess(r -> {commands.set("count", "1").doOnNext(value -> System.out.println("count1:" + value)).subscribe();commands.incr("count").doOnNext(value -> System.out.println("count2:" + value)).subscribe();}).flatMap(s -> commands.exec()).doOnNext(transactionResult -> System.out.println("transactionResult:" + transactionResult.wasDiscarded())).subscribe();Thread.sleep(1000 * 5);connection.close();redisClient.shutdown();}
}
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发布和订阅
public class LettuceReactiveDemo {public static void main(String[] args) throws Exception {RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();RedisClient redisClient = RedisClient.create(redisUri);//获取发布订阅操作命令工具StatefulRedisPubSubConnection<String, String> pubsubConn = redisClient.connectPubSub();pubsubConn.addListener(new RedisPubSubListener<String, String>() {@Overridepublic void unsubscribed(String channel, long count) {System.out.println("[unsubscribed]" + channel);}@Overridepublic void subscribed(String channel, long count) {System.out.println("[subscribed]" + channel);}@Overridepublic void punsubscribed(String pattern, long count) {System.out.println("[punsubscribed]" + pattern);}@Overridepublic void psubscribed(String pattern, long count) {System.out.println("[psubscribed]" + pattern);}@Overridepublic void message(String pattern, String channel, String message) {System.out.println("[message]" + pattern + " -> " + channel + " -> " + message);}@Overridepublic void message(String channel, String message) {System.out.println("[message]" + channel + " -> " + message);}});RedisPubSubAsyncCommands<String, String> pubsubCmd = pubsubConn.async();pubsubCmd.psubscribe("CH");pubsubCmd.psubscribe("CH2");pubsubCmd.unsubscribe("CH");Thread.sleep(100 * 5);pubsubConn.close();redisClient.shutdown();}
}
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客户端资源与参数配置
Lettuce 客户端的通信框架集成了 Netty 的非阻塞 IO 操作,客户端资源的设置与 Lettuce 的性能、并发和事件处理紧密相关,如果不熟悉客户端参数配置,不推荐修改默认值,保持默认配置即可。
- 非集群模式
public class LettuceDemo {public static void main(String[] args) throws Exception {ClientResources resources = DefaultClientResources.builder().ioThreadPoolSize(4) //I/O线程数.computationThreadPoolSize(4) //任务线程数.build();RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();ClientOptions options = ClientOptions.builder().autoReconnect(true)//是否自动重连.pingBeforeActivateConnection(true)//连接激活之前是否执行PING命令.build();RedisClient client = RedisClient.create(resources, redisUri);client.setOptions(options);StatefulRedisConnection<String, String> connection = client.connect();RedisCommands<String, String> commands = connection.sync();commands.set("name", "关羽");System.out.println(commands.get("name"));connection.close();client.shutdown();resources.shutdown();}
}
- 集群模式
public class LettuceDemo {public static void main(String[] args) throws Exception {ClientResources resources = DefaultClientResources.builder().ioThreadPoolSize(4) //I/O线程数.computationThreadPoolSize(4) //任务线程数.build();RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();ClusterClientOptions options = ClusterClientOptions.builder().autoReconnect(true)//是否自动重连.pingBeforeActivateConnection(true)//连接激活之前是否执行PING命令.validateClusterNodeMembership(true)//是否校验集群节点的成员关系.build();RedisClusterClient client = RedisClusterClient.create(resources, redisUri);client.setOptions(options);StatefulRedisClusterConnection<String, String> connection = client.connect();RedisAdvancedClusterCommands<String, String> commands = connection.sync();commands.set("name", "张飞");System.out.println(commands.get("name"));connection.close();client.shutdown();resources.shutdown();}
}
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线程池配置
Lettuce 连接设计的时候,就是线程安全的,所以一个连接可以被多个线程共享,同时 lettuce 连接默认是自动重连的,使用单连接基本可以满足业务需求,大多数情况下不需要配置连接池,多连接并不会给操作带来性能上的提升。
但在某些特殊场景下,比如事物操作,使用连接池会是一个比较好的方案,配置方法如下
public class LettuceDemo {public static void main(String[] args) throws Exception {RedisURI redisUri = RedisURI.builder().withHost("127.0.0.1").withPort(6379).withPassword("123456").withTimeout(Duration.of(10, ChronoUnit.SECONDS)).build();RedisClient client = RedisClient.create(redisUri);//连接池配置GenericObjectPoolConfig poolConfig = new GenericObjectPoolConfig();poolConfig.setMaxIdle(2);GenericObjectPool<StatefulRedisConnection<String, String>> pool = ConnectionPoolSupport.createGenericObjectPool(client::connect, poolConfig);StatefulRedisConnection<String, String> connection = pool.borrowObject();RedisCommands<String, String> commands = connection.sync();commands.set("name", "张飞");System.out.println(commands.get("name"));connection.close();pool.close();client.shutdown();}
}
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主从模式
Redis 一般采用主从复制模式,搭建高可用的架构,简单的说就一个主节点,多个从节点,自动从主节点同步最新数据。
- 自动发现主从模式下所有节点
public class LettuceDemo {public static void main(String[] args) throws Exception {//这里只需要配置一个节点的连接信息,不一定需要是主节点的信息,从节点也可以;可以自动发现主从节点RedisURI uri = RedisURI.builder().withHost("192.168.31.111").withPort(6379).withPassword("123456").build();RedisClient client = RedisClient.create(uri);StatefulRedisMasterReplicaConnection<String, String> connection = MasterReplica.connect(client, StringCodec.UTF8, uri);//从节点读取数据connection.setReadFrom(ReadFrom.REPLICA);RedisCommands<String, String> commands = connection.sync();commands.set("name", "张飞");System.out.println(commands.get("name"));connection.close();client.shutdown();}
}
- 手动指定主从模式下集群节点
public class LettuceDemo {public static void main(String[] args) throws Exception {//集群节点List<RedisURI> uris = new ArrayList();uris.add(RedisURI.builder().withHost("192.168.79.135").withPort(6379).withPassword("123456").build());uris.add(RedisURI.builder().withHost("192.168.79.136").withPort(6379).withPassword("123456").build());uris.add(RedisURI.builder().withHost("192.168.79.137").withPort(6379).withPassword("123456").build());RedisClient client = RedisClient.create();StatefulRedisMasterReplicaConnection<String, String> connection = MasterReplica.connect(client, StringCodec.UTF8, uris);//从节点读取数据connection.setReadFrom(ReadFrom.REPLICA);RedisCommands<String, String> commands = connection.sync();commands.set("name", "张飞");System.out.println(commands.get("name"));connection.close();client.shutdown();}
}
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哨兵模式
哨兵模式可以实现当主节点下线时,通过选举的方式将从节点升级为主节点
public class LettuceDemo {public static void main(String[] args) throws Exception {//集群节点List<RedisURI> uris = new ArrayList();uris.add(RedisURI.builder().withSentinel("192.168.79.135", 26379).withSentinelMasterId("mymaster").withPassword("123456").build());uris.add(RedisURI.builder().withSentinel("192.168.79.135", 26379).withSentinelMasterId("mymaster").withPassword("123456").build());uris.add(RedisURI.builder().withSentinel("192.168.79.135", 26379).withSentinelMasterId("mymaster").withPassword("123456").build());RedisClient client = RedisClient.create();StatefulRedisMasterReplicaConnection<String, String> connection = MasterReplica.connect(client, StringCodec.UTF8, uris);//从节点读取数据connection.setReadFrom(ReadFrom.REPLICA);RedisCommands<String, String> commands = connection.sync();commands.set("name", "赵云");System.out.println(commands.get("name"));connection.close();client.shutdown();}
}
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Cluster 集群模式
基于主从模式和哨兵模式的理念,推出的高可用的架构模型,主要是采用分片方式来存储数据
public class LettuceReactiveDemo {public static void main(String[] args) throws Exception {Set<RedisURI> uris = new HashSet<>();uris.add(RedisURI.builder().withHost("192.168.79.135").withPort(5001).withPassword("123456").build());uris.add(RedisURI.builder().withHost("192.168.79.135").withPort(5002).withPassword("123456").build());uris.add(RedisURI.builder().withHost("192.168.79.135").withPort(5003).withPassword("123456").build());uris.add(RedisURI.builder().withHost("192.168.79.136").withPort(5001).withPassword("123456").build());uris.add(RedisURI.builder().withHost("192.168.79.136").withPort(5002).withPassword("123456").build());uris.add(RedisURI.builder().withHost("192.168.79.136").withPort(5003).withPassword("123456").build());RedisClusterClient client = RedisClusterClient.create(uris);StatefulRedisClusterConnection<String, String> connection = client.connect();RedisAdvancedClusterCommands<String, String> commands = connection.sync();commands.set("name", "关羽");System.out.println(commands.get("name"));//选择从节点,只读NodeSelection<String, String> replicas = commands.replicas();NodeSelectionCommands<String, String> nodeSelectionCommands = replicas.commands();Executions<List<String>> keys = nodeSelectionCommands.keys("*");keys.forEach(key -> System.out.println(key));connection.close();client.shutdown();}
}
小结
Lettuce 相比老牌的 Jedis 客户端,功能更加强大,不仅解决了线程安全的问题,还支持异步和响应式编程,支持集群,Sentinel,管道和编码器等等功能。
了解更多的信息,可以访问官网地址:https://lettuce.io/
参考:
【进阶篇】Redis实战之Lettuce使用技巧详解 - 知乎