用于缓存一些固定名称的小组件

项目中，用于缓存姓名、地名、单位名称等一些较固定名称的id-name小组件。用于减少一些表的关连操作和冗余字段。优化代码结构。扩展也方便，写不同的枚举就行了。
具体用法：

{NameCacheUser.USER.getName(userId);NameCacheUser.ACCOUNT.getName(accountId);NameCacheUser.OFFICE.getName(officeId);
}

public enum NameCacheUser implements NameCacheBee {USER(userId -> {UserMapper userMapper = ZYSpringUtils.getBean(UserMapper.class);User user = userMapper.selectById(userId);return null != user ? user.getUserName() : null;}),ACCOUNT(accountId -> {UserAccountMapper userMapper = ZYSpringUtils.getBean(UserAccountMapper.class);UserAccount user = userMapper.selectById(accountId);return null != user ? user.getUserName() : null;}),OFFICE(officeId -> {OfficeMapper officeMapper = ZYSpringUtils.getBean(OfficeMapper.class);Office office = officeMapper.selectById(officeId);return null != office ? office.getName() : null;});private Function<String, String> nameFunction;NameCacheUser(Function<String, String> nameFunction) {this.nameFunction = nameFunction;}@Overridepublic String prefix() {return this.name().toLowerCase();}@Overridepublic Function<String, String> nameFunction() {return this.nameFunction;}
}

public interface NameCacheBee {String prefix();Function<String, String> nameFunction();default void flush(String businessId, String name) {NameCache.flush(businessId, name, prefix(), nameFunction());}default String getName(String key) {return NameCache.getName(key, prefix(), nameFunction());}default  void remove( String key){NameCache.remove(prefix(), key);}default   void remove(List<String> keys){NameCache.remove(prefix(), keys);}
}

@Component
public class NameCache {public final static String CONSTANT_NAME_CACHE = "constant_name_cache_";private static RedisTemplate<String, String> redisTemplate;public static void remove(String prefix,String key){if(ZYStrUtils.isNotNull(key)){remove(prefix,Collections.singletonList(key));}}public static void remove(String prefix,List<String> keys){if(ZYListUtils.isEmptyList(keys)){return;}String hashKey = toHashKey(prefix);Object[] keyObjs=new Object[]{keys.size()};for (int i=0;i<keyObjs.length;i++){keyObjs[i]=keys.get(i);}redisTemplate.opsForHash().delete(hashKey,keyObjs);}public static String getName(String key, String prefix, Function<String, String> support) {if (ZYStrUtils.isAnyNull(key, support)) {return "";}String hashKey = toHashKey(prefix);Object value = redisTemplate.opsForHash().get(hashKey, key);if (ZYStrUtils.isNotNull(value)) {return String.valueOf(value);}String name = support.apply(key);if (ZYStrUtils.isNotNull(name)) {redisTemplate.opsForHash().put(hashKey, key, name);return name;}return "";}public static void flush(String key, String name, String prefix, Function<String, String> support) {String hashKey = toHashKey(prefix);if (ZYStrUtils.isNotNull(name)) {redisTemplate.opsForHash().put(hashKey, key, name);} else {String findName = support.apply(key);if (ZYStrUtils.isNotNull(findName)) {redisTemplate.opsForHash().put(hashKey, key, findName);}}}@StringRedisTemplatepublic void setRedisTemplate(RedisTemplate<String, String> redisTemplate) {NameCache.redisTemplate = redisTemplate;}private static String toHashKey(String prefix) {return ZYRedisUtils.wrapperKey(CONSTANT_NAME_CACHE + prefix).toLowerCase();}}

在缓存中的效果：
![在这里插入图片描述](https://img-blog.csdnimg.cn/direct/868531a473f241e4bf9d7d83bfb551c3.png