getRow( final ResultSet rs, final Loadable[] persisters, final EntityKey...@Override public Object getEntityUsingInterceptor(EntityKey key) throws HibernateException {...private Map entitiesByKey; @Override public Object getEntity(EntityKey...key) { return entitiesByKey.get( key ); } @Override public void addEntity(EntityKey...key, final LockMode lockMode, final EntityKey optionalObjectKey,
(MachineId("","")) val authEntityType = Entity(Authenticator.EntityKey) { entityContext =>...(MachineId("","")) val crmEntityType = Entity(CrmWorker.EntityKey) { entityContext => CrmWorker...(MachineId("","")) val gateEntityType = Entity(GateKeeper.EntityKey) { entityContext =>...(MachineId("","")) val pluEntityType = Entity(PluWorker.EntityKey) { entityContext => PluWorker...(MachineId("","")) val pocEntityType = Entity(PocWorker.EntityKey) { entityContext => PocWorker
/记得引用 using EntityFramework.Extensions; //这两种写法都可以,Context是你的EF上下文对象. context.LogData.Delete(a => a.EntityKey...== "aa"); context.LogData.Where(a => a.EntityKey == "aa").Delete(); 批量更新: //data为修改的行数 int data =context.LogData.Where...(a=>a.EntityKey=="aa").Update(b=> new LogData { EntityName = "ss" }); //第二种写法,这种是针对DbSet的,已经标注过时了 var...data = context.LogData.Update(a => a.EntityKey == "aa",b=> new LogData { EntityName = "ss" }); 批量增加:...= us.BeginAudit(); //进行增删改操作 us.LogData.Add(new LogData() { EntityKey
(shopId, posId, termId, impurl,devId) = ids val entityRef = sharding.entityRefFor(ImgProcessor.EntityKey...(shopId, posId, termId, impurl,devId) = ids val entityRef = sharding.entityRefFor(ImgProcessor.EntityKey...可以看到:服务函数实现都是通过entityRef,一个分片调度器分配到集群某个节点ImgProcessor.EntityKey类型的entity-actor上进行的。...下面是这个分片的代码示范: log.step(s"initializing sharding for ${ImgProcessor.EntityKey} ...")...(MachineId("","")) val imgEntityType = Entity(ImgProcessor.EntityKey) { entityContext =>
PropertyInfo item in _properties) { if ("EntityState" == item.Name || "EntityKey...item in _properties) { if ("EntityState" == item.Name || "EntityKey
workManager分片; pathPrefix("submit") { val entityRef = sharding.entityRefFor(WorkManager.EntityKey...s"TxnServices-toTxnProcessor: entityId = $entityId") val workerEntityRef = sharding.entityRefFor(TxnProcessor.EntityKey...DispatcherSelector.fromConfig("prio-dispatcher") log.step(s"initializing sharding for ${TxnProcessor.EntityKey...val txnProcessorType = Entity(TxnProcessor.EntityKey) { entityContext => TxnProcessor(entityContext.shard
BusinessEntity.EntityKey...key = ((UFSoft.UBF.Business.EntityEvent)args[0]).EntityKey; if (key == null)
readerShard = writerInternal.optSharding.get val readerRef = readerShard.entityRefFor(POSReader.EntityKey...reader-actor的定义如下: object POSReader extends LogSupport { val EntityKey: EntityTypeKey[Command] = EntityTypeKey
} public void Update(Products tmp) { //为參数对象创建实体键 EntityKey
} } return dic; } } 3、属性使用TypeConverter: public class EntityKey
CalcStock to ${entityId} with message: $jsonDoc") val entityRef = sharding.entityRefFor(StockCalculator.EntityKey
ClusterSharding(writerInternal.actorContext.system) val readerRef = readerShard.entityRefFor(POSReader.EntityKey
有些方法其循环长度在大部分情况下为1,这种写法的低效就更为明显了: public static string ToString(MetadataKey entityKey) { string str...= "" ; object [] vals = entityKey.values; for ( int i = 0 ; i < vals.Length; i ++ ) { str
有些方法其循环长度在大部分情况下为1,这种写法的低效就更为明显了: public static string ToString(MetadataKey entityKey) { string...str = "" ; object [] vals = entityKey.values; for ( int i = 0 ; i < vals.Length; i ++ ) { str
编辑状态 2 基于 FocusPlugin 插件,以修改当前 Sku 卡片 id 为例,id 进行修改后,发送获取新的 id 的数据,并在数据成功获取后调用 modifyAtomicBlock(entityKey..., data) 方法,触发 replaceEntityData(editorState, entityKey, data) 方法进行编辑器不可变数据的更新,并由 handleEditorStateChange
AddValidatorsEventArgs e) { base.OnAddValidators(e); SaveValidator saveValidator =new SaveValidator(); saveValidator.EntityKey
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