当前位置：首页>数据库>正文

SpringBoot 操作 Redis的各种实现

数据库2024-10-24 13:43:02

原文
SpringBoot 操作 Redis的各种实现 (qq.com)

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：

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。

1.2、Redisson

优点点：分布式锁，分布式集合，可通过Redis支持延迟队列。

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、RedisTemplate

2.1、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）

<dependency>    
<groupId>org.springframework.boot</groupId>   
 <artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>

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）

2.2、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<CustomersEntity> 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;  
  }

2.3、扩展

2.3.1、spring-boot-starter-data-redis的依赖包

图片

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

图片

3.3.3 StringRedisTemplate默认序列化机制

public class StringRedisTemplate extends RedisTemplate<String, String>
 { 
/**  * Constructs a new <code>StringRedisTemplate</code> instance. {@link #setConnectionFactory(RedisConnectionFactory)}  * and {@link #afterPropertiesSet()} still need to be called.  */ 
public StringRedisTemplate() {
  RedisSerializer<String> stringSerializer = new StringRedisSerializer();  
setKeySerializer(stringSerializer);  
setValueSerializer(stringSerializer);  
setHashKeySerializer(stringSerializer);  
setHashValueSerializer(stringSerializer);
 }
 }

三、RedissonClient 操作示例

3.1 基本配置

3.1.1、Maven pom 引入

<dependency>    
<groupId>org.springframework.boot</groupId>    
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency><dependency>   
 <groupId>org.redisson</groupId> 
   <artifactId>redisson</artifactId>   
 <version>3.8.2</version>    
<optional>true</optional>
</dependency>
<dependency>   
 <groupId>org.redisson</groupId>    
<artifactId>redisson-spring-boot-starter</artifactId>    
<version>LATEST</version>
</dependency>

3.1.2、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
}

3.1.3、读取配置

新建读取配置类

@Configuration
public 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

3.2 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<String> 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        
Bucket<String> 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<String, Ur> 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<String, Ur> 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<String> 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<String> 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<String> 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

https://github.com/redisson/redisson/wiki/2.-Configuration

关于序列化机制中，就有很多

图片

图片

4.3.3 API支持（部分展示），具体的 Redis --> RedissonClient ,可查看这里

https://github.com/redisson/redisson/wiki/11.-Redis-commands-mapping

图片

4.3.4 轻便的丰富的锁机制的实现

Lock
Fair Lock
MultiLock
RedLock
ReadWriteLock
Semaphore
PermitExpirableSemaphore
CountDownLatch

四、基于注解实现的Redis缓存

4.1 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<String> 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;    }}

4.2 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<CustomersEntity> 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<CustomersEntity> 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<CustomersEntity> 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<CustomersEntity> 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<CustomersEntity> 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<CustomersEntity> cacheList() {        List<CustomersEntity> 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<CustomersEntity> cacheList2() {        List<CustomersEntity> all = customerRepo.findAll();        return all;    }}

4.3 扩展

基于spring缓存实现

图片

欢迎一键三连

查看全文

https://www.xamrdz.com/database/6f51997649.html

一、Jedis,Redisson,Lettuce三者的区别

1.1、Jedis

1.2、Redisson

1.3、 Lettuce

二、RedisTemplate

2.1、使用配置

2.2、使用示例

2.3、扩展

2.3.1、spring-boot-starter-data-redis的依赖包

3.3.2、stringRedisTemplate API（部分展示）

3.3.3 StringRedisTemplate默认序列化机制

三、RedissonClient 操作示例

3.1 基本配置

3.1.1、Maven pom 引入

3.1.2、添加配置文件Yaml或者json格式

3.1.3、读取配置

3.2 使用示例

4.3 扩展

四、基于注解实现的Redis缓存

4.1 Maven 和 YML配置

4.2 使用示例

4.3 扩展

相关文章：