• Understanding generated SOAP and data classes.

    理解生成的SOAP和数据类。

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  • Data classes that have been identified for each column.

    每列标识出来的数据类。

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  • Increased persistence ignorance in entity data classes.

    增强了实体数据类的持久化透明(persistence ignorance)能力。

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  • 3000 KBPS is already used by the voice and data classes.

    3000kbps已经使用到了语音和数据类(class)上。

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  • You can put the data classes in the project folder.

    可将数据类放在项目文件夹中。

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  • Create data classes and a utility class for getting an EntityManager instance.

    创建数据类和一个实用类来获取EntityManager实例。

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  • In that case, you must provide that namespace when you connect to the data classes.

    在此情况下,必须在连接至数据类时提供该命名空间。

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  • The first template generates the data classes themselves and the FixupCollection class needed to track changes.

    第一个模板生成数据类本身,FixupCollection类会跟踪其变化。

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  • If this is the case, then you should proceed to the next section, Understanding generated SOAP and data classes.

    如果是这种情况,那么您应该继续下一节理解生成的SOAP和数据类。

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  • By modifying the bindings, you can generally even keep the same XML representation as your data classes are refactored.

    通过修改绑定,甚至通常能在重构数据类的情况下保持相同的XML表示形式。

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  • TheEntity data model Wizard generates model and mapping information as well as data classes from an existing database.

    实体数据模型向导从现有数据库生成模型和映射信息以及数据类。

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  • Say, you parse a database or an XML file and generate data classes. Tens of classes, hundreds of properties, all fairly generic, boilerplate stuff.

    假设你解析一个数据库或者一个XML文件,然后生成了数据类,结果你会发现有数十个类、几百个属性以及一大堆泛型和模板文件等。

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  • If the document structure changes, you need to rerun the code generation and modify your application code to work with the resulting modified data classes.

    如果文档结构发生变化,再需要重新生成代码,并修改应用程序代码以使用最终修改后的数据类。

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  • Listing 3 shows a pair of data classes, with Listings 4 and 5 each giving a different binding definition for these classes along with a corresponding XML document.

    清单3显示了一对数据类,清单4和清单5则分别给出了这两个类的绑定定义和对应的XML文档。

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  • Identifies a custodial relationship between a data item and an organization or role (shown as a Business Actor, with dependency relationships to appropriate data classes).

    标识出数据项和组织或角色(显示为业务角色,和适当的数据类有依赖关系)的保管关系。

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  • Generate database Wizard (Entity data model Tools) to automatically generate the storage model, mappings, data classes, and a database that supports the conceptual model.

    “生成数据库”向导(实体数据模型工具)自动生成支持此概念模型的存储模型、映射、数据类和数据库。

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  • The data will certainly fuel the ongoing debate over whether physical education classes should be cut as schools struggle to survive on smaller budgets.

    这些数据必定会加剧一直以来的争论,即在学校努力靠更少的预算生存之际,是否应该削减体育课程。

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  • All of these different classes of information constitute data.

    所有这些不同种类的信息组成了数据。

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  • To properly leverage the code base in this article, we will use design best practices to build utility/data access classes.

    为了正确地利用本文中的代码,我们将使用最佳设计实践来构建实用程序/数据访问类。

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  • You work with true object classes combining data and behavior.

    使用真正的对象类将数据和行为组合在一起。

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  • The generated data model classes are the same for client and server, even though they're generated separately by the project build.

    生成的数据模型类对于客户机和服务器都是相同的,即使是由项目构建单独创建的。

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  • You can also add methods and data to existing Ruby classes because classes are open.

    还可以添加方法和数据到已有的类中,因为类是开放式的。

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  • A kernel key is a software key that allows the kernel to create data protection classes, regardless of the number of hardware keys available.

    内核键是一种软件键,它允许内核创建数据保护类,而无需考虑可用的硬件键的数目。

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  • The data model classes represent the actual message data.

    数据模型类表示实际的消息数据。

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  • Not all classes represent structured data in the application domain.

    并不是所有的类都表示应用程序域中的结构化数据。

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  • The data area classes are used to read, write, create, and delete data areas on the system.

    数据区域类用于在系统上读取、写入、创建和删除数据区域。

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  • New JMS import and export bindings now support additional JMS message types via supplied data binding classes.

    现在通过所提供的数据绑定类,新的JMS导入和导出绑定支持附加的 JMS消息类型。

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  • The data binding classes for the other JMS message types are similar.

    其他JMS消息类型的数据绑定类也是类似的。

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  • Data and classes are different beasts, one is a structural element (class) the other is an instance (data).

    数据和类是完全不同的两个事物,一个是结构化元素(类),而另一个则是实例(数据)。

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  • The analysis mechanism identifies suspected leaking data structure classes and packages.

    这一分析机制确定了受怀疑的泄漏数据结构类和数据包。

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