这可能会导致在类级别（使用静态数据的情况）的代码中或存储库API 中出现潜在的并发问题。
This could result in a potential concurrency issue in your code at the class level, where static data is used, or in the repository's APIs.
该服务必须支持最少100个并发客户机，并应该不受任何底层数据存储失败的影响。
The service must support a minimum of 100 concurrent clients, and shall fail-safe through failures of any underlying datastore.
这些错误通常只在高负荷的情况下发生，此时大量的并发用户以及大量的存储数据已经接近了测试参数的最高界限(500个用户，100 KB的资源)。
These errors generally occur only under heavy load where the number of simultaneous users and size of the data store approach the higher limits of the test parameters (500 users, 100 KB resources).
过去一年中，它之所以受到广泛关注，最主要的原因是其并发特性，如支持软件事务存储(Soft ware Transactional Memory——STM)及其他强大的数据结构。
Over the past year it has gained a lot of attention, mostly due to its concurrency features such as support for Software Transactional Memory (STM) and other powerful data structures.
对于与本文中类似的基于Web的应用程序来说，使用文本文件存储数据的做法并不实用，因为极有可能会出现并发访问的情况。
Text files are impractical for storing data in a Web-based application like this because of the high-level concurrency potential.
并发控制在业务事务术语中通常涉及生成和维护数据存储上的锁，例如关系数据库。
Concurrency control in business transaction terms usually involves generating and maintaining locks on data stores, such as relational databases.
数据方面的质量是通过保证数据访问可靠性、数据访问可用性和支持数据存储的并发性与安全性等功能进行判断的。
The quality of data aspect is measured by the ability to ensure reliability of data accessed, availability of data accessed, being able to allow concurrency as well as security of the data in storage.
此技巧产生的结果是会更多地采用的并发的方式来访问存储以持久化事务信息，以便更快地访问日志中的数据。
This technique yields more concurrent access to storage for persisting transaction information, and faster access to that data from the logs.
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。
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.
使用从数据库日志文件或数据库触发器触发的存储并发送 (store-and-forward)技术将操作发送给复制。
The operation is sent to replicate using store-and-forward techniques triggered from a database log file or database triggers.
同时使用 CMP和BMP实体bean 时，容器决定何时持续保持bean的状态以及如何确保与底层数据存储的数据完整性和并发性。
With both CMP and BMP entity beans, the container calls the shots as to when to persist a bean's state and how to ensure data integrity and concurrency with the underlying datastore.
Database并发策略可以使WebLogicServer将对实体bean的锁定请求委派给基础数据存储库。
Database concurrency strategy causes WebLogic Server to delegate locking requests for an entity bean to the underlying datastore.
综述XML数据存储方法，并发控制技术和数据保护技术等方面的最新研究进展。
XML concurrent control, XML data storage method and protecting technology are discussed in this paper.
FTP服务器对于存储器的要求较高，数据吞吐量、并发访问和并行操作都是影响FTP服务器性能的重要因素和瓶颈。
FTP Server want to be a higher memory, Data throughput, concurrent access and concurrent operation affect important factors and bottlenecks of FTP's Service.
该系统需要管理大规模分布存储的数据，需要支持大量用户同时快速地并发访问，需要为不同的用户提供不同的服务。
The system must manage large-scale distributed storage of data, support a large number of concurrent accesses, and provide different services for different users.
该系统需要管理大规模分布存储的数据，需要支持大量用户同时快速地并发访问，需要为不同的用户提供不同的服务。
The system must manage large-scale distributed storage of data, support a large number of concurrent accesses, and provide different services for different users.
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