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:
java
{
NameCacheUser.USER.getName(userId);
NameCacheUser.ACCOUNT.getName(accountId);
NameCacheUser.OFFICE.getName(officeId);
}
java
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;
}
}
java
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);
}
}
java
@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:
![在这里插入图片描述](https://img-blog.csdnimg.cn/direct/868531a473f241e4bf9d7d83bfb551c3.png