at com.ascential.asb.cas.service._EJSRemoteStatelessConnectorAccess_6ccddb18_Tie.discoverSchema__com_ascential_asb_cas_shared_util_ConnectionHandle__com_ascential_xmeta_emf_util_EObjectMemento__CORBA_WStringValue__boolean__boolean__boolean__boolean__CORBA_WStringValue(_EJSRemoteStatelessConnectorAccess_...
sync_error= call_after_sync_hook(commit_queue); ... /* Handle sync error after we release all locks in order to avoid deadlocks */ if (sync_error) handle_binlog_flush_or_sync_error(thd, true /* need_lock_log */, NULL); /* Commit done so signal all waiting threads */ stage_ma...
来到handleJobSubmitted。整个job有很多的stage。 private[scheduler] def handleJobSubmitted(jobId: Int, finalRDD: RDD[_], func: (TaskContext, Iterator[_]) => _, partitions: Array[Int], callSite: CallSite, listener: JobListener, properties: Properties): Unit = { var finalStage: ResultStage =...
A reference to the RadioButton object that displays the stage option to initiate an error condition and stop a stage if a mandatory participant has not completed the tasks by the deadline. ReviewStage tasksTab:TasksTab Обязательное:falseТипкомпон...
DAGScheduler.handleJobSubmitted先完成Stage的划分,然后进行Stage提交操作。 DAGScheduler.submitStage private def submitStage(stage: Stage) { val jobId = activeJobForStage(stage) if (jobId.isDefined) { logDebug("submitStage(" + stage + ")") ...
LOG(ERROR) << pending_functions.error();// signal,mount_handle,notification唤醒,keycode相关,property_service,subcontext相关}elseif(!pending_functions->empty()) {// We always reap children before responding to the other pending functions. This is to// prevent a race where other daemons see th...
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. - Various ZeRO Stage3 Optimizations + Improvements (including bfloat16 …· xfunture/DeepSpeed@4912e0a
[计算机软件及应用]datastage学习文档.doc,工作总结 1 如何重新启动DataStage服务器, 步骤如下: 5 2 DataStage开发经验积累: 5 2.1 模板开发 5 2.2 通过Server Shared Container在Parallel Job中添加Server Job Stage 5 2.3 去除不需要的字段 5 2.4 Transformer Stage的使用
(s :: stageChain) } } } def generateErrorMessage(stage: Stage): String = { "A shuffle map stage with indeterminate output was failed and retried. " + s"However, Spark cannot rollback the $stage to re-process the input data, " + "and has to fail this job. Please eliminate the ...
Bug report I implemented a custom reader for HSC PDR2 data, which converts a FITS bool-array to pa.list_(pa.bool_(), 274). On the reducing stage this ends with an error from pyarrow-pandas conversion layer, originated from hipscat_import...