@CacheEvict + redis实现批量删除缓存

    /**
     * @Cacheable
     * 将方法的运行结果进行缓存；以后再要相同的数据，直接从缓存中获取，不用调用方法；
     * CacheManager管理多个Cache组件，对缓存的真正CRUD操作在Cache组件中，每一个缓存组件有自己唯一一个名字；
     *
     *
     * 原理：
     *   1、自动配置类；CacheAutoConfiguration
     *   2、缓存的配置类
     *   org.springframework.boot.autoconfigure.cache.GenericCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.JCacheCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.EhCacheCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.HazelcastCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.InfinispanCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.CouchbaseCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.RedisCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.CaffeineCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.GuavaCacheConfiguration
     *   org.springframework.boot.autoconfigure.cache.SimpleCacheConfiguration【默认】
     *   org.springframework.boot.autoconfigure.cache.NoOpCacheConfiguration
     *   3、哪个配置类默认生效：SimpleCacheConfiguration；
     *
     *   4、给容器中注册了一个CacheManager：ConcurrentMapCacheManager
     *   5、可以获取和创建ConcurrentMapCache类型的缓存组件；他的作用将数据保存在ConcurrentMap中；
     *
     *   运行流程：
     *   @Cacheable：
     *   1、方法运行之前，先去查询Cache（缓存组件），按照cacheNames指定的名字获取；
     *      （CacheManager先获取相应的缓存），第一次获取缓存如果没有Cache组件会自动创建。
     *   2、去Cache中查找缓存的内容，使用一个key，默认就是方法的参数；
     *      key是按照某种策略生成的；默认是使用keyGenerator生成的，默认使用SimpleKeyGenerator生成key；
     *          SimpleKeyGenerator生成key的默认策略；
     *                  如果没有参数；key=new SimpleKey()；
     *                  如果有一个参数：key=参数的值
     *                  如果有多个参数：key=new SimpleKey(params)；
     *   3、没有查到缓存就调用目标方法；
     *   4、将目标方法返回的结果，放进缓存中
     *
     *   @Cacheable标注的方法执行之前先来检查缓存中有没有这个数据，默认按照参数的值作为key去查询缓存，
     *   如果没有就运行方法并将结果放入缓存；以后再来调用就可以直接使用缓存中的数据；
     *
     *   核心：
     *      1）、使用CacheManager【ConcurrentMapCacheManager】按照名字得到Cache【ConcurrentMapCache】组件
     *      2）、key使用keyGenerator生成的，默认是SimpleKeyGenerator
     *
     *
     *   几个属性：
     *      cacheNames/value：指定缓存组件的名字;将方法的返回结果放在哪个缓存中，是数组的方式，可以指定多个缓存；
     *
     *      key：缓存数据使用的key；可以用它来指定。默认是使用方法参数的值  1-方法的返回值
     *              编写SpEL； #i d;参数id的值   #a0  #p0  #root.args[0]
     *              getEmp[2]
     *
     *      keyGenerator：key的生成器；可以自己指定key的生成器的组件id
     *              key/keyGenerator：二选一使用;
     *
     *
     *      cacheManager：指定缓存管理器；或者cacheResolver指定获取解析器
     *
     *      condition：指定符合条件的情况下才缓存；
     *              ,condition = "#id>0"
     *          condition = "#a0>1"：第一个参数的值》1的时候才进行缓存
     *
     *      unless:否定缓存；当unless指定的条件为true，方法的返回值就不会被缓存；可以获取到结果进行判断
     *              unless = "#result == null"
     *              unless = "#a0==2":如果第一个参数的值是2，结果不缓存；
     *      sync：是否使用异步模式
     *
     */

  
    /*
	 * (non-Javadoc)
	 * @see org.springframework.cache.Cache#evict(java.lang.Object)
	 */
	@Override
	public void evict(Object key) {
		cacheWriter.remove(name, createAndConvertCacheKey(key));
	}
 
	/*
	 * (non-Javadoc)
	 * @see org.springframework.cache.Cache#clear()
	 */
	@Override
	public void clear() {
 
		byte[] pattern = conversionService.convert(createCacheKey("*"), byte[].class);
		cacheWriter.clean(name, pattern);
	}

public class CustomizedRedisCache extends RedisCache {
    private static final String WILD_CARD = "*"; 
    private final String name;
    private final RedisCacheWriter cacheWriter;
    private final ConversionService conversionService; 
    protected CustomizedRedisCache(String name, RedisCacheWriter cacheWriter, RedisCacheConfiguration cacheConfig) {
        super(name, cacheWriter, cacheConfig);
        this.name = name;
        this.cacheWriter = cacheWriter;
        this.conversionService = cacheConfig.getConversionService();
    }
 
    @Override
    public void evict(Object key) {
        if (key instanceof String) {
            String keyString = key.toString();
            if (keyString.endsWith(WILD_CARD)) {
                evictLikeSuffix(keyString);
                return;
            }
            if (keyString.startsWith(WILD_CARD)) {
                evictLikePrefix(keyString);
                return;
            }
        }
        super.evict(key);
    }
 
    /**
     * 前缀匹配
     *
     * @param key
     */
    public void evictLikePrefix(String key) {
        byte[] pattern = this.conversionService.convert(this.createCacheKey(key), byte[].class);
        this.cacheWriter.clean(this.name, pattern);
    }
 
    /**
     * 后缀匹配
     *
     * @param key
     */
    public void evictLikeSuffix(String key) {
        byte[] pattern = this.conversionService.convert(this.createCacheKey(key), byte[].class);
        this.cacheWriter.clean(this.name, pattern);
    }  
}

public class CustomizedRedisCacheManager extends RedisCacheManager { 
    private final RedisCacheWriter cacheWriter;
    private final RedisCacheConfiguration defaultCacheConfig;
    private final Map<String, RedisCacheConfiguration> initialCaches = new LinkedHashMap<>();
    private boolean enableTransactions; 
 
    public CustomizedRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration) {
        super(cacheWriter, defaultCacheConfiguration);
        this.cacheWriter = cacheWriter;
        this.defaultCacheConfig = defaultCacheConfiguration;
    }
 
    public CustomizedRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, String... initialCacheNames) {
        super(cacheWriter, defaultCacheConfiguration, initialCacheNames);
        this.cacheWriter = cacheWriter;
        this.defaultCacheConfig = defaultCacheConfiguration;
    }
 
    public CustomizedRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, boolean allowInFlightCacheCreation, String... initialCacheNames) {
        super(cacheWriter, defaultCacheConfiguration, allowInFlightCacheCreation, initialCacheNames);
        this.cacheWriter = cacheWriter;
        this.defaultCacheConfig = defaultCacheConfiguration;
    }
 
    public CustomizedRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, Map<String, RedisCacheConfiguration> initialCacheConfigurations) {
        super(cacheWriter, defaultCacheConfiguration, initialCacheConfigurations);
        this.cacheWriter = cacheWriter;
        this.defaultCacheConfig = defaultCacheConfiguration;
    }
 
    public CustomizedRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, Map<String, RedisCacheConfiguration> initialCacheConfigurations, boolean allowInFlightCacheCreation) {
        super(cacheWriter, defaultCacheConfiguration, initialCacheConfigurations, allowInFlightCacheCreation);
        this.cacheWriter = cacheWriter;
        this.defaultCacheConfig = defaultCacheConfiguration;
    }
 
    /**
     * 这个构造方法最重要
     **/
    public CustomizedRedisCacheManager(RedisConnectionFactory redisConnectionFactory, RedisCacheConfiguration cacheConfiguration) {
        this(RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory),cacheConfiguration);
    }
 
    /**
     * 覆盖父类创建RedisCache
     */
    @Override
    protected RedisCache createRedisCache(String name, @Nullable RedisCacheConfiguration cacheConfig) {
        return new CustomizedRedisCache(name, cacheWriter, cacheConfig != null ? cacheConfig : defaultCacheConfig);
    }
 
    @Override
    public Map<String, RedisCacheConfiguration> getCacheConfigurations() {
        Map<String, RedisCacheConfiguration> configurationMap = new HashMap<>(getCacheNames().size());
        getCacheNames().forEach(it -> {
            RedisCache cache = CustomizedRedisCache.class.cast(lookupCache(it));
            configurationMap.put(it, cache != null ? cache.getCacheConfiguration() : null);
        });
        return Collections.unmodifiableMap(configurationMap);
    }
}

@Bean
 public CacheManager oneDayCacheManager(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()
    // 1天缓存过期
    .entryTtl(Duration.ofDays(1))
    .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
    .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
    .computePrefixWith(name -> name + ":")
    .disableCachingNullValues();
  return new CustomizedRedisCacheManager(factory, config);
 }

@Cacheable(value = "current_group", cacheManager = "oneDayCacheManager",
            key = "#currentAttendanceGroup.getId() + ':' + args[1]", unless = "#result eq null")
    public String getCacheAttendanceId(CurrentAttendanceGroupDO currentAttendanceGroup, String dateStr) {
        // 方法体
    } 
 
    @CacheEvict(value = "current_group", key = "#currentAttendanceGroup.getId() + ':' + '*'", beforeInvocation = true)
    public void deleteCacheAttendanceId(CurrentAttendanceGroupDO currentAttendanceGroup) { 
    }

@CacheEvict(cacheNames = "parts:grid",allEntries = true)