springboot使用RedisTemplate

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1.pom引入

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

2.配置文件application.properties

#-----------------redis--------------------------
# 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=127.0.0.1
# 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.password=123654
# 连接池最大连接数（使用负值表示没有限制）
spring.redis.jedis.pool.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.jedis.pool.max-wait=-1
# 连接池中的最大空闲连接
spring.redis.jedis.pool.max-idle=8 
# 连接池中的最小空闲连接
spring.redis.jedis.pool.min-idle=0
# 连接超时时间（毫秒）
spring.redis.timeout=5000
#-----------------redis end------------------------

3.创建个RedisConfig类

操作redis的时候可以又多种序列化方法，直接字符串
                                   JSON,JSON带有过滤敏感属性的

@Configuration
public class RedisConfig {
	
	 @Bean
	    public RedisTemplate<String, Object> redisTemplateString(RedisConnectionFactory redisConnectionFactory) {
	        // 配置redisTemplate
	        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
	        redisTemplate.setConnectionFactory(redisConnectionFactory);
	        RedisSerializer stringSerializer = new StringRedisSerializer();
	        redisTemplate.setKeySerializer(stringSerializer); // key序列化
	        redisTemplate.setValueSerializer(stringSerializer); // value序列化
	        redisTemplate.setHashKeySerializer(stringSerializer); // Hash key序列化
	        redisTemplate.setHashValueSerializer(stringSerializer); // Hash value序列化
	        redisTemplate.afterPropertiesSet();
	        return redisTemplate;
	    }
	
	
    @Bean
    public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        // 配置redisTemplate
        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        RedisSerializer stringSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(stringSerializer); // key序列化
        redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer()); // value序列化
        redisTemplate.setHashKeySerializer(stringSerializer); // Hash key序列化
        redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer()); // Hash value序列化
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }
    
    
    @Bean
    public RedisTemplate<String, Object> redisTemplateGroup(RedisConnectionFactory redisConnectionFactory) {
        // 配置redisTemplate
        RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>();
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        RedisSerializer stringSerializer = new StringRedisSerializer();
        redisTemplate.setKeySerializer(stringSerializer); // key序列化
        redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer(getMapper())); // value序列化
        redisTemplate.setHashKeySerializer(stringSerializer); // Hash key序列化
        redisTemplate.setHashValueSerializer(new GenericJackson2JsonRedisSerializer(getMapper())); // Hash value序列化
        redisTemplate.afterPropertiesSet();
        return redisTemplate;
    }
    
 // 获取JSON工具
   	private final ObjectMapper getMapper() {
   		ObjectMapper mapper = new ObjectMapper();
   		JsonFilterUtil.addFilterForMapper(mapper);
   		//将类名称序列化到json串中，去掉会导致得出来的的是LinkedHashMap对象，直接转换实体对象会失败
   		mapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance,ObjectMapper.DefaultTyping.NON_FINAL); 	    //设置输入时忽略JSON字符串中存在而Java对象实际没有的属性
   		mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
   		return mapper;
   	}

}

序列化参数过滤

public static void addFilterForMapper(ObjectMapper mapper) {
    	
    	Set<String> sets =new HashSet<String>();
    	sets.add("userEmail");
    	sets.add("userPhone");
    	sets.add("userImagePath");
    	sets.add("userPassword");
    	sets.add("userSex");
    	sets.add("userStatus");
    	//sets.add("liveType");
    	sets.add("ip");
    	sets.add("userCreateDate");
        SimpleBeanPropertyFilter fieldFilter = SimpleBeanPropertyFilter.serializeAllExcept(sets);
        SimpleFilterProvider filterProvider = new SimpleFilterProvider().addFilter("fieldFilter", fieldFilter);
        mapper.setFilterProvider(filterProvider).addMixIn(ChartUser.class, FieldFilterMixIn.class);
    }

4.使用

 /**
     * 添加数据
     * @param key
     * @param value
     */
    public void set(String key, Object value) {
    	//delete(key);
        ValueOperations<String, Object> vo =  redisTemplate.opsForValue();
        vo.set(key, value);
    }

    /**
     * 获取数据
     * @param key
     * @return
     */
    public Object get(String key) {
        ValueOperations<String, Object> vo =  redisTemplate.opsForValue();
        return vo.get(key);
    }
    
    /**
     * 删除数据
     * @param key
     * @return
     */
    public boolean delete(String key) {
    	return redisTemplate.delete(key);
    }