springboot 整合 redis 共享Session-spring-session-data-redis

参考：https://www.cnblogs.com/ityouknow/p/5748830.html

如何使用

1、引入 spring-boot-starter-redis

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

2、添加配置文件

# REDIS (RedisProperties)
# Redis数据库索引（默认为0）
spring.redis.database=0  
# Redis服务器地址
spring.redis.host=192.168.0.58
# Redis服务器连接端口
spring.redis.port=6379  
# Redis服务器连接密码（默认为空）
spring.redis.jedispassword=  
# 连接池最大连接数（使用负值表示没有限制）
spring.redis.pooljedis.max-active=8  
# 连接池最大阻塞等待时间（使用负值表示没有限制）
spring.redis.pooljedis.max-wait=-1  
# 连接池中的最大空闲连接
spring.redis.pooljedis.max-idle=8  
# 连接池中的最小空闲连接
spring.redis.pooljedis.min-idle=0  
# 连接超时时间（毫秒）
#timeout: 60s # 数据库连接超时时间，2.0 中该参数的类型为Duration，这里在配置的时候需要指明单位
spring.redis.timeout=60s 

3、添加cache的配置类

@Configuration
public class RedisConfig extends CachingConfigurerSupport {

    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {

        RedisTemplate<String, Object> template = new RedisTemplate<>();

        RedisSerializer<String> redisSerializer = new StringRedisSerializer();

        Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
        ObjectMapper om = new ObjectMapper();
        om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
        om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
        jackson2JsonRedisSerializer.setObjectMapper(om);

        template.setConnectionFactory(factory);
        //key序列化方式
        template.setKeySerializer(redisSerializer);
        //value序列化
        template.setValueSerializer(jackson2JsonRedisSerializer);
        //value hashmap序列化
        template.setHashValueSerializer(jackson2JsonRedisSerializer);

        return template;
    }

    @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）,过期时间30秒
        RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
                .entryTtl(Duration.ofSeconds(30))
                .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
                .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
                .disableCachingNullValues();

        RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
                .cacheDefaults(config)
                .build();
        return cacheManager;
    }
}

一個比較好的redisConfig配置（建议使用）

package com.goku.demo.config;


import java.time.Duration;
import java.util.HashMap;
import java.util.Map;

import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.cache.interceptor.KeyGenerator;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.cache.RedisCacheWriter;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;

import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;

/***
 * *************************************************************************
 * <PRE>
 *  @ClassName:    : RedisConfig 
 *
 *  @Description:    : 使用 redis  做默认缓存
 *
 *  @Creation Date   : 25 Feb 2019 3:54:19 PM
 *
 *  @Author          :  Sea
 *
 * </PRE>
 **************************************************************************
 */
@SuppressWarnings("all")
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {

     @Bean
        public KeyGenerator simpleKeyGenerator() {
            return (o, method, objects) -> {
                StringBuilder stringBuilder = new StringBuilder();
                stringBuilder.append(o.getClass().getSimpleName());
                stringBuilder.append(".");
                stringBuilder.append(method.getName());
                stringBuilder.append("[");
                for (Object obj : objects) {
                    stringBuilder.append(obj.toString());
                }
                stringBuilder.append("]");

                return stringBuilder.toString();
            };
        }

        
        
       @Bean
        public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
            return new RedisCacheManager(
                RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory),
                this.getRedisCacheConfigurationWithTtl(5), // 默认策略，未配置的 key 会使用这个
                this.getRedisCacheConfigurationMap() // 指定 key 策略
            );
        }
       
            /**
             * @how to use   eg:
              @Cacheable(value = "MIN10", keyGenerator = "simpleKeyGenerator") // 3000秒
              @Cacheable(value = "MIN30", keyGenerator = "simpleKeyGenerator") // 18000秒
              @Cacheable(value = "MIN60", keyGenerator = "simpleKeyGenerator") // 600秒，未指定的key，使用默认策略
                 ****/      
       private Map<String, RedisCacheConfiguration> getRedisCacheConfigurationMap() {
            Map<String, RedisCacheConfiguration> redisCacheConfigurationMap = new HashMap<>();
            redisCacheConfigurationMap.put("MIN10", this.getRedisCacheConfigurationWithTtl(10));
            redisCacheConfigurationMap.put("MIN30", this.getRedisCacheConfigurationWithTtl(30));
            redisCacheConfigurationMap.put("MIN60", this.getRedisCacheConfigurationWithTtl(60));
            return redisCacheConfigurationMap;
        }
       
       
       /**
        * @param Minute
        * @return
        */
       private RedisCacheConfiguration getRedisCacheConfigurationWithTtl(Integer Minute) {
            Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);
            ObjectMapper om = new ObjectMapper();
            om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
            om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
            jackson2JsonRedisSerializer.setObjectMapper(om);

            RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig();
            redisCacheConfiguration = redisCacheConfiguration.serializeValuesWith(
                RedisSerializationContext
                    .SerializationPair
                    .fromSerializer(jackson2JsonRedisSerializer)
            ).entryTtl(Duration.ofMinutes(Minute));

            return redisCacheConfiguration;
        }
       
       
       


       
       
       
       
}

3、好了，接下来就可以直接使用了

@RunWith(SpringJUnit4ClassRunner.class)
@SpringApplicationConfiguration(Application.class)
public class TestRedis {

    @Autowired
    private StringRedisTemplate stringRedisTemplate;
    
    @Autowired
    private RedisTemplate redisTemplate;

    @Test
    public void test() throws Exception {
        stringRedisTemplate.opsForValue().set("aaa", "111");
        Assert.assertEquals("111", stringRedisTemplate.opsForValue().get("aaa"));
    }
    
    @Test
    public void testObj() throws Exception {
        User user=new User("aa@126.com", "aa", "aa123456", "aa","123");
        ValueOperations<String, User> operations=redisTemplate.opsForValue();
        operations.set("com.neox", user);
        operations.set("com.neo.f", user,1,TimeUnit.SECONDS);
        Thread.sleep(1000);
        //redisTemplate.delete("com.neo.f");
        boolean exists=redisTemplate.hasKey("com.neo.f");
        if(exists){
            System.out.println("exists is true");
        }else{
            System.out.println("exists is false");
        }
       // Assert.assertEquals("aa", operations.get("com.neo.f").getUserName());
    }
}

以上都是手动使用的方式，如何在查找数据库的时候自动使用缓存呢，看下面；

4、自动根据方法生成缓存

@RequestMapping("/getUser")
@Cacheable(value="user-key")
public User getUser() {
    User user=userRepository.findByUserName("aa");
    System.out.println("若下面没出现“无缓存的时候调用”字样且能打印出数据表示测试成功");  
    return user;
}

其中value的值就是缓存到redis中的key