业务代码中先处置惩罚业务末了存储数据
背景说明：在处置惩罚复杂业务的时候，特别是研发自测期间，经常会产生很多不必要的垃圾数据。
技能原理：
先将要存入数据库的数据放在缓存中，等所有业务代码实行完后，再同一生存；
代码如下：
https://images.cnblogs.com/OutliningIndicators/ContractedBlock.gifhttps://images.cnblogs.com/OutliningIndicators/ExpandedBlockStart.gif@Slf4j
public class BaseService<M extends BaseMapper<T>, T> extends ServiceImpl<M, T> implements IService<T> {
/**
* 构建查询
* @param e
* @return
*/
@SneakyThrows
public <E extends Object> EntityWrapper<E> wrapperTable(E e, String tableName, Boolean like) {
EntityWrapper<E> wrapper = new EntityWrapper<>();
for (String field: JSON.parseObject(JSON.toJSONString(e)).keySet()) {
Field ld = findField(e.getClass(), field);
if(ld == null || !checkField(ld)) continue;
String _s = columnName(ld);
String m =null;
if(_s.contains("_")){
m = StrUtil.toCamelCase("get_"+_s);
}else {m=StrUtil.genGetter(_s);}
Object o = e.getClass().getMethod(m).invoke(e);
if(ObjectUtils.isEmpty(o)) continue;
if(!ObjectUtils.isEmpty(tableName)) {
_s = tableName+"."+_s;
}
if(like) wrapper.like(_s,o.toString());
else wrapper.eq(_s , o);
}
return wrapper;
}
/**
* 构建查询
* @param e
* @return
*/
@SneakyThrows
public <E extends Object> EntityWrapper<E> wrapper(E e, Boolean like) {
return wrapperTable(e,null,like);
}
/**
* 构建查询
* @param e
* @return
*/
@SneakyThrows
public <E extends Object> EntityWrapper<E> wrapper(E e) {
return wrapperTable(e,null,false);
}
private boolean checkField(Field field) {
if(!field.isAnnotationPresent(TableId.class) && !field.isAnnotationPresent(TableField.class)) return false;
if(field.isAnnotationPresent(TableField.class) && !field.getAnnotation(TableField.class).exist()) return false;
return true;
}
private Field findField(Class c,String field) {
if(c == Object.class) return null;
try {
return c.getDeclaredField(field);
} catch (NoSuchFieldException e) {
return findField(c.getSuperclass(),field);
}
}
private String columnName(Field field) {
if(field.isAnnotationPresent(TableId.class) && ObjectUtils.isNotEmpty(field.getAnnotation(TableId.class).value())) return field.getAnnotation(TableId.class).value();
if(field.isAnnotationPresent(TableField.class) && field.getAnnotation(TableField.class).exist() && ObjectUtils.isNotEmpty(field.getAnnotation(TableField.class).value())) return field.getAnnotation(TableField.class).value();
return StrUtil.toUnderlineCase(field.getName());
}
@Transactional(rollbackFor = Exception.class)
@Override
public boolean insertOrUpdate(T entity){
if(entity instanceof TransacationalEntity) {
//截流所有 TransacationalEntity 下的新增
if(((TransacationalEntity) entity).getSqlStatus().equalsIgnoreCase("begin")) {
return TransactionalUtils.add(this,((TransacationalEntity) entity));
} else if(((TransacationalEntity) entity).getSqlStatus().equalsIgnoreCase("commit")) {
return TransactionalUtils.commit(((TransacationalEntity) entity).getSqlVersion());
} else {
return super.insertOrUpdate(entity);
}
} else {
return super.insertOrUpdate(entity);
}
}
@SneakyThrows
@Transactional(rollbackFor = Exception.class)
@Override
public boolean insertOrUpdateBatch(List<T> entityList) {
try {
this.baseMapper.getClass().getMethod("insertOrUpdateBatch", List.class).invoke(this.baseMapper,entityList);
} catch (NoSuchMethodException e) {
log.warn("mapper类{}，不存在方法{}，替换为service执行",this.baseMapper.getClass(),"insertOrUpdateBatch");
super.insertOrUpdateBatch(entityList);
}
return true;
}
}业务父类其他方法可以忽略，都是懒得写xml但是版本又不允许升级，偷懒写的sql条件辅助工具。
主要要关注以下两个方法：
第一个，用于截流原来的生存方法，将要生存的数据存入缓存中。
@Transactional(rollbackFor = Exception.class)
@Override
public boolean insertOrUpdate(T entity){
if(entity instanceof TransacationalEntity) {
//截流所有 TransacationalEntity 下的新增
if(((TransacationalEntity) entity).getSqlStatus().equalsIgnoreCase("begin")) {
return TransactionalUtils.add(this,((TransacationalEntity) entity));
} else if(((TransacationalEntity) entity).getSqlStatus().equalsIgnoreCase("commit")) {
return TransactionalUtils.commit(((TransacationalEntity) entity).getSqlVersion());
} else {
return super.insertOrUpdate(entity);
}
} else {
return super.insertOrUpdate(entity);
}
}第二个，用于末了同一处置惩罚生存，我这里偷懒了，使用了代码生成器，所以xml中已经有了 insertOrupdataBatch.
@SneakyThrows
@Transactional(rollbackFor = Exception.class)
@Override
public boolean insertOrUpdateBatch(List<T> entityList) {
try {
this.baseMapper.getClass().getMethod("insertOrUpdateBatch", List.class).invoke(this.baseMapper,entityList);
} catch (NoSuchMethodException e) {
log.warn("mapper类{}，不存在方法{}，替换为service执行",this.baseMapper.getClass(),"insertOrUpdateBatch");
super.insertOrUpdateBatch(entityList);
}
return true;https://images.cnblogs.com/OutliningIndicators/ContractedBlock.gifhttps://images.cnblogs.com/OutliningIndicators/ExpandedBlockStart.gif@Data
@AllArgsConstructor
@NoArgsConstructor
public class TransacationalEntity {
/**
* begin null commit
*/
@TableField(exist = false)
@ApiModelProperty(hidden = true)
private String sqlStatus;
/**
* begin null commit
*/
@TableField(exist = false)
@ApiModelProperty(hidden = true)
private String sqlVersion;
}Pojo父类https://images.cnblogs.com/OutliningIndicators/ContractedBlock.gifhttps://images.cnblogs.com/OutliningIndicators/ExpandedBlockStart.gifpublic class TransactionalUtils {
static volatile ConcurrentHashMap<String, ConcurrentHashMap<BaseService, CopyOnWriteArrayList<Object>>> cMap = new ConcurrentHashMap<>();
static volatile ConcurrentHashMap<String,Long> tMap = new ConcurrentHashMap<>();
public static <E extends TransacationalEntity> boolean add(BaseService service, E e) {
long millis = System.currentTimeMillis();
synchronized(service.getClass()) {
ConcurrentHashMap<BaseService, CopyOnWriteArrayList<Object>> map = cMap
.getOrDefault(e.getSqlVersion(), new ConcurrentHashMap<>());
CopyOnWriteArrayList<Object> list = map.getOrDefault(service, new CopyOnWriteArrayList<>());
list.add(e);
map.put(service, list);
cMap.put(e.getSqlVersion(), map);
tMap.put(e.getSqlVersion(),tMap.getOrDefault(e.getSqlVersion(), 0L)+System.currentTimeMillis()-millis) ;
}
return true;
}
@SneakyThrows
public static boolean commit(String key) {
long millis = System.currentTimeMillis();
int size = 0;
for (Map.Entry<BaseService, CopyOnWriteArrayList<Object>> entry : cMap.remove(key).entrySet()) {
entry.getKey().insertOrUpdateBatch(entry.getValue());
size+=entry.getValue().size();
}
System.out.println("批量业务入队总量" + size);
System.out.println("批量业务入队耗时" + tMap.remove(key));
System.out.println("批量业务提交耗时" + (System.currentTimeMillis()-millis));
return true;
}
}核心工具类以下是调用示例：
String tranId = IdUtil.simpleUUID();
Map<String, Object> userMap = new HashMap();
userMap.put("sqlStatus","begin");
userMap.put("sqlVersion", tranId);
propretyDye(beans,userMap);
insertOrUpdate(Arrays.asList(beans));
TransactionalUtils.commit(tranId);先给要截流的数据加上版本号和标识，其实只要一个版本号就可以了，sqlStatus这个字段懒得删除了。
版本号主要用来在缓存中分组，隔离其他业务提交。
附带一个参数处置惩罚的小工具，有时候要重复的一层层赋值，太懒了，所以写个工具，让机器本身给我处置惩罚所有数据的值，用法如上面的示例，没仔细检查，偶然会发生栈溢出，但是不影响，应该是项目的全局配置不够造成的：
/**
* 属性染色
* 如果对象 o 包含 propreties 的key,则设置key对应的值
* 处理对象和对象中所有的子对象
* @param o
* @param propreties
* @return
*/
@SneakyThrows
public static Object propretyDye(Object o, Map<String,Object> propreties) {
if(o instanceof Collection) for (Object object : (Collection<?>) o) {
propretyDye(object,propreties);
}
Class<?> aClass = o.getClass();
while (aClass instanceof Object) {
for (Field field : aClass.getDeclaredFields()) {
field.setAccessible(true);
if(propreties.containsKey(field.getName())) field.set(o,propreties.get(field.getName()));
if(field.get(o) instanceof Collection) for (Object object : (Collection<?>) field.get(o)) {
propretyDye(object,propreties);
}
if(field.get(o) instanceof Object && BeanUtil.isBean(field.get(o).getClass())) propretyDye(field.get(o),propreties);
}
aClass = aClass.getSuperclass();
}
return o;
}
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