Keep in mind the "user view" or "programming model" of concurrency as a matter of scheduling access to a unitary resource.
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。
Again, the goal is to reduce the time spent in the database, thereby increasing the overall database concurrency and hence the application's ability to handle a larger concurrent user load.
再次，其目标是减少在数据库中花费的时间，从而减少数据库的总体并发性，以及应用程序处理较大并发用户负载的能力。
As the name implies, this strategy is used primarily in applications that support a high degree of concurrency from a user perspective.
顾名思义，此策略主要在从用户的角度支持高度并发性的应用程序中使用。
This ability affects the user interface, business logic, and database; in addition, it is necessary to address issues regarding concurrency, data integrity, user transparency, and replication.
这种能力包括使用用户界面、业务逻辑和数据库的能力；此外，必须解决与并发、数据集成、用户透明度和复制相关的问题。
It is then up to the user to decide how much distribution, and concurrency, they wish to actually use in their code.
接下来由用户决定代码中实际期望的分布式和并发性的程度。
The framework is much more usable than ad-hoc concurrency, but it hasn't been usable enough to win user mind share.
这个框架具有比ad -hoc并发性更加良好的可用性，但它还无法达到用户认可的程度。
Internally, Seam provides an advanced concurrency model to efficiently manage multiple AJAX requests from the same user.
Seam提供了一个先进的并发模型，有效的管理来自同一用户的多个AJAX请求。
To support high-throughput and high-user-concurrency requirements in an application or subsystem, you need high database concurrency.
为了在应用程序或子系统中支持高吞吐量和高用户并发性，您需要高数据库并发性。
These symptoms are usually found in a high-concurrency environment where an application must process a large user volume or load.
这些症状经常出现在高并发性环境中，在这种环境中，应用程序必须处理庞大的用户量或负载。
The code in Listing 1 might work perfectly well in an environment without high-user-concurrency or high-throughput requirements.
清单1中的代码在没有高用户并发性或高吞吐量需求的环境中可能会非常出色地运行。
Always starting transactions at the highest level in the call stack (the API layer) can be inefficient, particularly in cases of high-user-throughput and high-database-concurrency needs.
始终在调用栈的最高层(api层)启动事务有时会效率低下，特别是对于具有高用户吞吐量和高数据库并发性需求的应用程序。
ZODB is a robust, multi-user, object-oriented database system capable of storing and managing arbitrarily complex Python objects with transaction support and concurrency control.
ZODB是一个健壮的、多用户的和面向对象的数据库系统，它能够存储和管理任意复杂的Python对象，并支持事务操作和并发控制。
Suppose you want to stick with using the Declarative transaction model to simplify the transaction processing but still increase throughput during a high-user-concurrency scenario.
假设您希望坚持使用DeclarativeTransaction模型来简化事务处理，但是仍然能在高用户并发性场景中增加吞吐量。
The initial results indicate that the event model, which can use formal language and implement concurrency, has brilliant prospects for user dialogue.
初步结果表明，采用事件模型的UIMS，可用形式的专用语言描述事件，并能实现并发的特点，是一个有前途的实现用户对话的模型。
It can also facilitate users to define and manipulate data, maintain the security and integrity of data, and the concurrency control and database recovery under multi-user circumstances.
它使用户能方便地进行定义和操纵数据，维护数据的安全性和完整性，以及多用户下的并发控制和恢复数据库等操作。
Through the concurrency control of edition, cooperation of multi-user in the environment of network is realized and work efficiency is increased.
通过版本并发性控制，使网络环境下多用户协同工作成为可能，提高了工作效率。
Through the concurrency control of edition, cooperation of multi-user in the environment of network is realized and work efficiency is increased.
通过版本并发性控制，使网络环境下多用户协同工作成为可能，提高了工作效率。
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