• Using the concurrent access test servlet.

    使用并发存取测试servlet。

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  • Concurrent access does not need to be synchronized.

    并发访问不需要同步。

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  • Therefore, you should use concurrent access for faster failover time.

    因此,您将使用并发访问以获得更快的故障转移时间。

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  • The use of optimistic locking offers more concurrent access to the data.

    乐观锁定的使用能实现更多地同时数据访问。

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  • Can't save or delete the exploration view set due to a concurrent access.

    中文原译由于并发访问而无法保存或删除发掘视图集。

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  • PDTK has a built-in stress engine to easily simulate concurrent access scenarios.

    PD TK提供了一个内置的压力引擎,可以轻松地模拟并发访问场景。

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  • In moving to a clustered deployment there may be concurrent access from multiple JVM's.

    在群集环境下,会由多个JVM并发访问。

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  • This test case uses two users to simulate concurrent access in the query table claim method.

    这个测试案例使用两个用户来模拟查询表申明方法中的并发存取。

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  • It is often useful to allow a limited number of threads concurrent access to a resource.

    允许有限数目的线程并发访问某个资源通常十分有用。

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  • This time can be significantly reduced if you use raw devices and if you use concurrent access.

    如果您使用原始设备,或者使用并发访问,那么就可以极大地减少这一时间。

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  • I know that WebApi USES an async context to prevent concurrent access to the current request.

    我知道之前使用一个异步上下文来防止多个用户的并行访问当前请求。

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  • IDS MACH 11 functionality requires concurrent access of multiple IDS instances to Shared chunks.

    IDSMACH11功能需要同时访问共享区块(chunk)上的多个IDS实例。

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  • The conflict will arise for the concurrent access between Shared resource and multi-user in CVGE.

    协同虚拟地理环境由于存在多个用户与共享资源发生并发访问,从而将导致“访问冲突”。

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  • This provides concurrent access by multiple threads to the human tasks in the database as shown in Figure 2.

    这提供了多线程并发访问数据库中的人工任务,如图2所示。

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  • We can also have the concurrent access on for the raw disks, and that even further reduces failover time.

    我们还可以对原始磁盘进行 并发访问,甚至可以进一步减少故障转移时间。

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  • GPFS allows both the master and backup nodes to have concurrent access to all of the files in the cluster.

    GPFS允许主节点和备份节点并发访问集群中的所有文件。

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  • Sophisticated branching and graphical merge tools enable concurrent access to files and efficient use of time.

    高级的分支和图形化合并工具支持对文件的并发访问,以及对时间的有效使用。

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  • Your applications must be prepared to support multiple concurrent access by users with differing locale requirements.

    应用程序必须做好准备,支持具有不同地区需求的用户的多个并发访问。

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  • Leverages Amazon's massively redundant architecture to offer extremely high availability in the face of concurrent access.

    利用Amazon的大量冗余架构在并发访问时提供极高的可用性。

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  • In circumstances such as this, concurrent access to pre-existing data in target tables of load operations is very important.

    在这样的情况下,对加载操作的目标表中预先存在的数据的并发访问是非常重要的。

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  • ROW SHARE permits concurrent access to the locked table but prohibits users from locking the entire table for exclusive access.

    ROWSHARE允许并发访问被锁定的表,但是禁止用户以排他访问的方式锁定整张表 。

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  • Locking is the mechanism that the database manager USES to control concurrent access to data in the database by multiple applications.

    锁定是数据库管理器用来控制多个应用程序并发访问数据库中数据的机制。

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  • This technique yields more concurrent access to storage for persisting transaction information, and faster access to that data from the logs.

    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。

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  • For faster failover time the best configuration is to use DMS tablespaces and raw devices, and even better allow concurrent access to the disks.

    为了获得更快的故障转移时间,最佳配置是使用dms表空间和原始设备,甚至最好允许对磁盘的并发访问。

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  • In the early days of programming, non-reentrancy was not a threat to programmers; functions did not have concurrent access and there were no interrupts.

    在早期的编程中,不可重入性对程序员并不构成威胁;函数不会有并发访问,也没有中断。

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  • For example, pickling alone doesn't solve the problem of naming and locating the pickle files, nor does it support concurrent access to persistent objects.

    例如,只用pickle不能解决命名和查找pickle文件这样的问题,另外,它也不能支持并发地访问持久性对象。

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  • Efficient management of concurrent access (of service requests to the target) is determined by the performance characteristic of the target database server.

    并发访问的有效管理(对目标的服务请求)由目标数据库服务器的性能特性决定。

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  • Under the hood, operations on atomic variables get turned into the hardware primitives that the platform provides for concurrent access, such as compare-and-swap.

    在表面之下,原子变量的操作会变为平台提供的用于并发访问的硬件原语,比如比较并交换。

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  • The transaction support in JDBC 2 gave developers control over concurrent access to their data, thereby ensuring that persisted data is always in a consistent state.

    JDBC2中的事务支持让开发人员可以控制对数据的并发访问,从而保证持续数据总是保持一致的状态。

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  • Although serializability guarantees the correctness of concurrent access, it meanwhile causes lots of loss in concurrency and brings down the system throughput.

    串行化在保证事务并发访问正确性的同时严重制约了分布式数据库的并发程度,。降低了系统效率。

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