Spring Boot + Redis 实现各种操作,写得太好了吧
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一、Jedis,Redisson,Lettuce 三者的区别
共同点:都提供了基于 Redis 操作的 Java API,只是封装程度,具体实现稍有不同。
不同点:
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1.1、Jedis
是 Redis 的 Java 实现的客户端。支持基本的数据类型如:String、Hash、List、Set、Sorted Set。
特点:使用阻塞的 I/O,方法调用同步,程序流需要等到 socket 处理完 I/O 才能执行,不支持异步操作。Jedis 客户端实例不是线程安全的,需要通过连接池来使用 Jedis。
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1.1、Redisson
优点点:分布式锁,分布式集合,可通过 Redis 支持延迟队列。
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1.3、 Lettuce
用于线程安全同步,异步和响应使用,支持集群,Sentinel,管道和编码器。
基于 Netty 框架的事件驱动的通信层,其方法调用是异步的。Lettuce 的 API 是线程安全的,所以可以操作单个 Lettuce 连接来完成各种操作。
二、Jedis
三、RedisTemplate
3.1、使用配置
maven 配置引入,(要加上版本号,我这里是因为 Parent 已声明)
org.springframework.boot spring-boot-starter-data-redis
application-dev.yml
spring: redis: host: 192.168.1.140 port: 6379 password: database: 15 # 指定redis的分库(共16个0到15)
3.2、使用示例
@Resource private StringRedisTemplate stringRedisTemplate; @Override public CustomersEntity findById(Integer id) { // 需要缓存 // 所有涉及的缓存都需要删除,或者更新 try { String toString = stringRedisTemplate.opsForHash().get(REDIS_CUSTOMERS_ONE, id + "").toString(); if (toString != null) { return JSONUtil.toBean(toString, CustomersEntity.class); } } catch (Exception e) { e.printStackTrace(); } // 缓存为空的时候,先查,然后缓存redis Optional byId = customerRepo.findById(id); if (byId.isPresent()) { CustomersEntity customersEntity = byId.get(); try { stringRedisTemplate.opsForHash().put(REDIS_CUSTOMERS_ONE, id + "", JSONUtil.toJsonStr(customersEntity)); } catch (Exception e) { e.printStackTrace(); } return customersEntity; } return null; }
3.3、扩展
3.3.1、spring-boot-starter-data-redis 的依赖包
3.3.2、stringRedisTemplate API(部分展示)
opsForHash --> hash 操作
opsForList --> list 操作
opsForSet --> set 操作
opsForValue --> string 操作
opsForZSet --> Zset 操作
3.3.3 StringRedisTemplate 默认序列化机制
public class StringRedisTemplate extends RedisTemplate {/** * Constructs a new StringRedisTemplate
instance. {@link #setConnectionFactory(RedisConnectionFactory)} * and {@link #afterPropertiesSet()} still need to be called. */public StringRedisTemplate() {RedisSerializer stringSerializer = new StringRedisSerializer();setKeySerializer(stringSerializer);setValueSerializer(stringSerializer);setHashKeySerializer(stringSerializer);setHashValueSerializer(stringSerializer);}}
四、RedissonClient 操作示例
4.1 基本配置
4.1.1、Maven pom 引入
org.springframework.boot spring-boot-starter-data-redis org.redisson redisson 3.8.2 true org.redisson redisson-spring-boot-starter LATEST
4.1.2、添加配置文件 Yaml 或者 json 格式
redisson-config.yml
# Redisson 配置singleServerConfig: address: "redis://192.168.1.140:6379" password: null clientName: null database: 15 #选择使用哪个数据库0~15 idleConnectionTimeout: 10000 pingTimeout: 1000 connectTimeout: 10000 timeout: 3000 retryAttempts: 3 retryInterval: 1500 reconnectionTimeout: 3000 failedAttempts: 3 subscriptionsPerConnection: 5 subscriptionConnectionMinimumIdleSize: 1 subscriptionConnectionPoolSize: 50 connectionMinimumIdleSize: 32 connectionPoolSize: 64 dnsMonitoringInterval: 5000 #dnsMonitoring: falsethreads: 0nettyThreads: 0codec: class: "org.redisson.codec.JsonJacksonCodec"transportMode: "NIO"
或者,配置 redisson-config.json
{ "singleServerConfig": { "idleConnectionTimeout": 10000, "pingTimeout": 1000, "connectTimeout": 10000, "timeout": 3000, "retryAttempts": 3, "retryInterval": 1500, "reconnectionTimeout": 3000, "failedAttempts": 3, "password": null, "subscriptionsPerConnection": 5, "clientName": null, "address": "redis://192.168.1.140:6379", "subscriptionConnectionMinimumIdleSize": 1, "subscriptionConnectionPoolSize": 50, "connectionMinimumIdleSize": 10, "connectionPoolSize": 64, "database": 0, "dnsMonitoring": false, "dnsMonitoringInterval": 5000 }, "threads": 0, "nettyThreads": 0, "codec": null, "useLinuxNativeEpoll": false}
4.1.3、读取配置
新建读取配置类
@Configurationpublic class RedissonConfig { @Bean public RedissonClient redisson() throws IOException { // 两种读取方式,Config.fromYAML 和 Config.fromJSON// Config config = Config.fromJSON(RedissonConfig.class.getClassLoader().getResource("redisson-config.json")); Config config = Config.fromYAML(RedissonConfig.class.getClassLoader().getResource("redisson-config.yml")); return Redisson.create(config); }}
或者,在 application.yml 中配置如下
spring: redis: redisson: config: classpath:redisson-config.yaml
4.2 使用示例
@RestController@RequestMapping("/")public class TeController { @Autowired private RedissonClient redissonClient; static long i = 20; static long sum = 300;// ========================== String ======================= @GetMapping("/set/{key}") public String s1(@PathVariable String key) { // 设置字符串 RBucket keyObj = redissonClient.getBucket(key); keyObj.set(key + "1-v1"); return key; } @GetMapping("/get/{key}") public String g1(@PathVariable String key) { // 设置字符串 RBucket keyObj = redissonClient.getBucket(key); String s = keyObj.get(); return s; } // ========================== hash =======================-= @GetMapping("/hset/{key}") public String h1(@PathVariable String key) { Ur ur = new Ur(); ur.setId(MathUtil.randomLong(1,20)); ur.setName(key); // 存放 Hash RMap ss = redissonClient.getMap("UR"); ss.put(ur.getId().toString(), ur); return ur.toString(); } @GetMapping("/hget/{id}") public String h2(@PathVariable String id) { // hash 查询 RMap ss = redissonClient.getMap("UR"); Ur ur = ss.get(id); return ur.toString(); } // 查询所有的 keys @GetMapping("/all") public String all(){ RKeys keys = redissonClient.getKeys(); Iterable keys1 = keys.getKeys(); keys1.forEach(System.out::println); return keys.toString(); } // ================== ==============读写锁测试 ============================= @GetMapping("/rw/set/{key}") public void rw_set(){// RedissonLock. RBucket ls_count = redissonClient.getBucket("LS_COUNT"); ls_count.set("300",360000000l, TimeUnit.SECONDS); } // 减法运算 @GetMapping("/jf") public void jf(){ String key = "S_COUNT";// RAtomicLong atomicLong = redissonClient.getAtomicLong(key);// atomicLong.set(sum);// long l = atomicLong.decrementAndGet();// System.out.println(l); RAtomicLong atomicLong = redissonClient.getAtomicLong(key); if (!atomicLong.isExists()) { atomicLong.set(300l); } while (i == 0) { if (atomicLong.get() > 0) { long l = atomicLong.getAndDecrement(); try {Thread.sleep(1000l); } catch (InterruptedException e) {e.printStackTrace(); } i --; System.out.println(Thread.currentThread().getName() + "->" + i + "->" + l); } } } @GetMapping("/rw/get") public String rw_get(){ String key = "S_COUNT"; Runnable r = new Runnable() { @Override public void run() { RAtomicLong atomicLong = redissonClient.getAtomicLong(key); if (!atomicLong.isExists()) { atomicLong.set(300l); } if (atomicLong.get() > 0) { long l = atomicLong.getAndDecrement(); i --; System.out.println(Thread.currentThread().getName() + "->" + i + "->" + l); } } }; while (i != 0) { new Thread(r).start();// new Thread(r).run();// new Thread(r).run();// new Thread(r).run();// new Thread(r).run(); } RBucket bucket = redissonClient.getBucket(key); String s = bucket.get(); System.out.println("================线程已结束================================" + s); return s; }}
4.3 扩展
4.3.1 丰富的 jar 支持,尤其是对 Netty NIO 框架
4.3.2 丰富的配置机制选择,这里是详细的配置说明
关于序列化机制中,就有很多
4.3.3 API 支持(部分展示),具体的 Redis --> RedissonClient , 可查看这里
4.3.4 轻便的丰富的锁机制的实现
4.3.4.1 Lock
4.3.4.2 Fair Lock
4.3.4.3 MultiLock
4.3.4.4 RedLock
4.3.4.5 ReadWriteLock
4.3.4.6 Semaphore
4.3.4.7 PermitExpirableSemaphore
4.3.4.8 CountDownLatch
五、基于注解实现的 Redis 缓存
5.1 Maven 和 YML 配置
参考 RedisTemplate 配置
另外,还需要额外的配置类
// todo 定义序列化,解决乱码问题@EnableCaching@Configuration@ConfigurationProperties(prefix = "spring.cache.redis")public class RedisCacheConfig { private Duration timeToLive = Duration.ZERO; public void setTimeToLive(Duration timeToLive) { this.timeToLive = timeToLive; } @Bean public CacheManager cacheManager(RedisConnectionFactory factory) { RedisSerializer redisSerializer = new StringRedisSerializer(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); // 解决查询缓存转换异常的问题 ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); // 配置序列化(解决乱码的问题) RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig() .entryTtl(timeToLive) .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer)) .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer)) .disableCachingNullValues(); RedisCacheManager cacheManager = RedisCacheManager.builder(factory) .cacheDefaults(config) .build(); return cacheManager; }}
5.2 使用示例
@Transactional@Servicepublic class ReImpl implements RedisService { @Resource private CustomerRepo customerRepo; @Resource private StringRedisTemplate stringRedisTemplate; public static final String REDIS_CUSTOMERS_ONE = "Customers"; public static final String REDIS_CUSTOMERS_ALL = "allList"; // =====================================================================使用Spring cahce 注解方式实现缓存 // ==================================单个操作 @Override @Cacheable(value = "cache:customer", unless = "null == #result",key = "#id") public CustomersEntity cacheOne(Integer id) { final Optional byId = customerRepo.findById(id); return byId.isPresent() ? byId.get() : null; } @Override @Cacheable(value = "cache:customer", unless = "null == #result", key = "#id") public CustomersEntity cacheOne2(Integer id) { final Optional byId = customerRepo.findById(id); return byId.isPresent() ? byId.get() : null; } // todo 自定义redis缓存的key, @Override @Cacheable(value = "cache:customer", unless = "null == #result", key = "#root.methodName + '.' + #id") public CustomersEntity cacheOne3(Integer id) { final Optional byId = customerRepo.findById(id); return byId.isPresent() ? byId.get() : null; } // todo 这里缓存到redis,还有响应页面是String(加了很多转义符\,),不是Json格式 @Override @Cacheable(value = "cache:customer", unless = "null == #result", key = "#root.methodName + '.' + #id") public String cacheOne4(Integer id) { final Optional byId = customerRepo.findById(id); return byId.map(JSONUtil::toJsonStr).orElse(null); } // todo 缓存json,不乱码已处理好,调整序列化和反序列化 @Override @Cacheable(value = "cache:customer", unless = "null == #result", key = "#root.methodName + '.' + #id") public CustomersEntity cacheOne5(Integer id) { Optional byId = customerRepo.findById(id); return byId.filter(obj -> !StrUtil.isBlankIfStr(obj)).orElse(null); } // ==================================删除缓存 @Override @CacheEvict(value = "cache:customer", key = "'cacheOne5' + '.' + #id") public Object del(Integer id) { // 删除缓存后的逻辑 return null; } @Override @CacheEvict(value = "cache:customer",allEntries = true) public void del() { } @CacheEvict(value = "cache:all",allEntries = true) public void delall() { } // ==================List操作 @Override @Cacheable(value = "cache:all") public List cacheList() { List all = customerRepo.findAll(); return all; } // todo 先查询缓存,再校验是否一致,然后更新操作,比较实用,要清楚缓存的数据格式(明确业务和缓存模型数据) @Override @CachePut(value = "cache:all",unless = "null == #result",key = "#root.methodName") public List cacheList2() { List all = customerRepo.findAll(); return all; }}
5.3 扩展
基于 spring 缓存实现
https://blog.csdn.net/qq_42105629/article/details/102589319
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