• It provides data caching for desktop and Web applications alike.

    它为桌面和类似的Web应用程序提供数据缓存。

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  • Web services can maximize performance by correctly using data caching.

    Web服务正确使用数据缓存就可以实现其最大的性能。

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  • Gets or sets a value that indicates whether data caching is enabled at run time.

    获取或设置一个值,该值指示在运行时是否启用了数据缓存。

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  • External data caching can be performed on external content or data returned by CONNECT tags.

    可以在CONNECT标记返回的外部内容或数据上进行外部数据高速缓存。

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  • At the data services orchestration tier, caching is supported by a specialized data caching service.

    在数据服务编排层,缓存由专门的数据缓存服务提供支持。

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  • Enable data caching to reduce the number of accesses in order to handle large volumes of data requests.

    支持数据缓存以减少访问数量,从而处理大量的数据请求。

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  • Unlike when you tune database servers, with NFS you want to allow the VMM to use as much RAM as possible for NFS data caching.

    与优化数据库服务器有所不同,对于NFS来说,您希望允许VMM使用尽可能多的RAM来进行NFS数据缓存。

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  • The purpose of the data caching tier is to provide scalable, fault tolerant, coherent data grids for your application server tier.

    数据缓存层的目的是为您的应用程序服务器层提供一个可伸缩、容错和一致的数据网格。

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  • To use the Faces Client Components, you create a Faces JSP page and select "Basic with client-side data caching" as the model.

    为了使用FacesClientComponents,要创建一个 FacesJSP页面并选择 “Basicwith client-sidedata caching ”作为模型。

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  • Batch processing usually doesn't need data caching, otherwise you may run out of memory and dramatically increase your GC overhead.

    批处理通常不需要数据缓存,否则你会将内存耗尽并大量增加GC开销。

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  • These solutions include inspecting of network connecting, client data caching, data synchronizing, and handling data concurrency.

    这些解决方案包括网络连接状态的监测、客户端数据的缓存、数据的同步和数据并发处理。

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  • This includes creating relationships with these tables and various forms of optimization such as hints or data caching to name a couple.

    这种整合包括创建与这些表的关系以及各种形式的优化,比如通过提示或数据缓存命名一个耦合。

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  • By analyzing and studying the technology of data caching at present, a new method on target image database managing is put forward.

    通过对现有数据缓存技术的分析和研究,提出了一种针对目标影像数据库的数据缓存方法。

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  • It includes opcode acceleration, page caching, data caching, application monitoring and application problem diagnostic capabilities.

    它包括操作码加速,页面缓存,数据缓存,应用监控和诊断功能的应用问题。

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  • When you cache data on the client side using JSON, you update the data caching object every time the user clicks on the Add Vehicle button.

    当使用JSON将数据缓存到客户端时,系统将在用户每次单击addVehicle按钮时更新数据缓存对象。

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  • If you select the Supports data Caching check box when you upload the report template to the server, BIRT USES only the data from the data mart.

    如果在您向服务器上传报告模板时,您选中了SupportsData Caching复选框,那么BIRT会只使用来自数据集市的数据。

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  • If data exclusivity is not possible, the WebSphere Extended Deployment data grid technology could be used to manage data caching and invalidation.

    如果数据独占不可能,则可以使用WebSphereExtendedDeployment数据网格技术管理数据缓存和失效。

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  • It permits the use of 64 bit data source drivers and can leverage the 64 bit address space for query processing, metadata caching and data caching.

    它允许使用64位数据源驱动程序,且可以利用64位满足查询处理、元数据缓存和数据缓存的空间。

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  • Beyond frameworks, they are investing heavily in queueing and data caching technologies - VMWare sees the whole "data stack" as being in great ferment.

    除了框架之外,他们还向队列和数据缓存技术投入了大量的资金——VMWare认为整个“数据栈”(data stack)都处于变动之中。

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  • The WebSphere DataPower XC10 Appliance is a quick, easy, and cost-effective way to add an elastic data caching tier to enhance your application infrastructure.

    IBMWebSphereDataPowerXC10Appliance是一种快速、简便和经济高效的方法,用于添加一个弹性数据缓存层来增强您的应用程序基础结构。

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  • In mobile databases, data caching take the form of materialized views. Data is updated by communicating only the incremental part to reduce the demand for network bandwidth.

    在移动数据库中,数据缓存普遍采取实体化视图的方式,数据更新通过传输增量部分,以降低对网络带宽的要求。

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  • After analyzing characteristics of data caching, several solutions to problem of cache coherence are offered and a new directory lists method is designed for the cache system.

    并在此基础上,通过分析数据缓存系统的特点,提出针对缓存一致性问题的解决方法,其中重点阐述为本文所提缓存系统模型而设计的一种改进方法,即目录表法。

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  • If the data and workload exhibits certain characteristics conducive to aggressive data caching and endpoint affinity, further optimizations can be made to improve performance and throughput.

    如果数据和工作负载显示了对主动数据缓存和端点关联有益的某些特征,则可以进行进一步优化以提高性能和吞吐量。

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  • Caching the data as a property saves having to parse the file whenever the plug-in is run.

    同时将数据缓冲在属性中,这样就避免了每次运行插件时都需要解析文件。

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  • Caching works best for read-only data.

    缓存非常适合于只读数据。

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  • How you choose to handle caching is often based on the type of data that you are caching and how that data is used.

    如何选择处理高速缓存通常是以您正在高速缓存的数据类型,以及那些数据如何使用为基础的。

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  • There is no caching involved for either data or metadata.

    数据或原数据都不会涉及缓存的问题。

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  • Data caches can be used for caching data with change rates that are below the page request rate.

    可以使用数据缓存对那些更改频率低于页面请求频率的数据进行缓存。

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  • The server resource issue can be addressed by caching prior data and then aggregating the very newest additions.

    服务器资源问题可以这样解决:将以前的数据缓存,然后将最新添加的数据集成进来。

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  • Traditionally, caching solutions have sought to avoid these issues by distributing the data over a cluster of caching nodes.

    传统的缓存解决方案为了规避这些问题,都将数据分布在缓存节点组成的集群上。

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