我们所展示的这个例子并没有一个用于过程处理视图的包，这是因为这个例子中的系统并不过多的以并发的方式呈现出来。
The example is shown without a Package for Process View, because the system in this example doesn't exhibit much in the way of concurrency.
控制器从模型请求数据并发送给视图完成格式化。
The controller requests data from the model and sends it to the view for formatting.
请记住，从“用户视图”或“编程模型”的角度来看，并发就是关于调度对不可分资源的访问这样一件事情。
Keep in mind the "user view" or "programming model" of concurrency as a matter of scheduling access to a unitary resource.
也许那些想快速构建并发布站点的人们并不在意单元测试、SOC，但在“视图”中编写SQL语句实在是太差了。
Probably people that want to build their quick site to publish all their runs don't care about unit testing, SOC and so on, but still seeing a SQL statement in the the "view" feels bad.
在数据仓库的实化视图维护处理中，如何有效地处理并发更新是一个重要而又棘手的问题。
During maintaining the materialized view in the data warehouse, how to efficiently handle the concurrent updates is an important and intractable problem.
在并发环境下，数据更新和模式更新极有可能同时存在，这对视图维护工作带来极大的困难。
Meanwhile, data update and schema change are possible to coexist under the concurrent environment which brings about many problems to view maintenance.
通过对视图维护过程中的更新异常进行分析，发现并发更新是导致视图维护异常的主要原因。
Based on the analysis of view maintenance anomaly, the concurrent updates are found to be one of the main reasons that cause view maintenance anomaly.
中文原译由于并发访问而无法保存或删除发掘视图集。
Can't save or delete the exploration view set due to a concurrent access.
您可利用“并发可视化工具”报告视图直观显示并行程序中的线程如何彼此进行交互，以及如何与系统上其他进程中的线程进行交互。
The Concurrency Visualizer report views enable you to visualize how the threads in a parallel program interact with each other and with threads from other processes on the system.
通过定义不同数据源更新之间的并发依赖关系和同源依赖关系，利用概念化事务模型可实现松散耦合环境中视图的并发维护。
The view maintenance process in the loosely coupled environment was implemented as a conceptual transaction, by the definitions of concurrency dependency and same-source dependency.
通过定义不同数据源更新之间的并发依赖关系和同源依赖关系，利用概念化事务模型可实现松散耦合环境中视图的并发维护。
The view maintenance process in the loosely coupled environment was implemented as a conceptual transaction, by the definitions of concurrency dependency and same-source dependency.
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