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;
    }
    @Override
    public String prefix() {
        return this.name().toLowerCase();
    }
    @Override
    public 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);
            }
        }
    }
    @StringRedisTemplate
    public 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:
 
 










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