• The model layer of a Django application is handled by Django's data-access layer.

    Django应用程序的模型层由 Django的数据访问层处理。

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  • We will start by using a very simple applet that will make use of our data-access code.

    首先使用一个非常简单的Applet,该Applet将使用数据访问代码。

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  • Let's look at a simple application that leverages the data-access code shown in Listing 2.

    让我们查看一个利用清单2中所示的数据访问代码的简单应用程序。

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  • Each of these is essentially a wrapper around the data-access code we developed earlier.

    这三个方法实质上都是先前开发的数据访问代码的包装器。

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  • The data consolidation pattern decouples the data-integration task from the data-access task.

    数据整合模式将数据集成任务从数据访问任务中分离出来。

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  • When data-access logic is pushed into the DBMS itself, the application development benefits can be wide ranging.

    将数据访问逻辑推送到DBMS 中后,应用程序开发的好处可能非常多。

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  • Data Grid is a caching and data-access infrastructure for eXtreme Transaction Processing (XTP) style applications.

    数据网格(Data Grid)是极限事务处理(xtp, eXtreme Transaction Processing)类型的应用程序的缓存和数据访问的基础结构。

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  • Spring's data access facilities automatically translate data-access exceptions into this exception class hierarchy.

    Spring的数据访问功能自动将数据访问异常转换为此异常类层次结构。

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  • You can still apply it when using data-access object (DAO) or JDBC-based frameworks and database stored procedures.

    在使用数据访问对象(DAO)或基于JDBC的框架和数据库存储过程时,您可以使用它。

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  • The Model can be seen as the data-access layer, where the application interacts with any databases and information sources.

    这里的模型可以看作数据访问层,应用程序在这里与其他数据库和信息源交互。

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  • In Part 2, we're going to talk about DB2 Connect as a data-access platform, and we're not just talking DB2 on the mainframe here.

    在第2部分中,我们将谈到作为数据访问平台的DB 2Connect,在这里我们不仅仅是谈论大型主机上的DB2。

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  • A central focus of Spring is to allow for reusable business and data-access objects that are not tied to specific J2EE services.

    Spring的核心要点是:支持不绑定到特定J2EE服务的可重用业务和数据访问对象。

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  • Before moving on to the Ad controller, you might have noticed that the controller methods make direct use of domain-object data-access code.

    在转到Ad控制器之前,您可能注意到了控制器方法直接使用域对象数据访问代码。

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  • You are restricted to JDBC-based frameworks such as iBATIS or Spring JDBC (see Resources), or your own home-brewed data-access object (DAO) framework.

    仅限于使用基于JDBC的框架,比如ibatis或SpringJDBC(请参见参考资料),或者您自己开发的数据访问对象(DAO)框架。

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  • Data access objects may or may not match the domain objects.

    数据访问对象既可以匹配也可以不匹配域对象。

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  • Minimize performance tuning of data access tasks.

    将数据访问任务的性能调优降到最低。

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  • Yet, the models and methods for doing data access are continually changing.

    然而,实现数据访问的模型和方法一直在变。

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  • User identity must be propagated into services and used to authorize data access.

    用户标识必须传播到服务中,并用于授权数据访问。

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  • Logic on defining data access and aggregation can be reusable across different projects.

    有关定义数据访问和聚合的逻辑可以在不同的项目中加以重用。

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  • Stored Procedures and the unified data access.

    存储过程和统一数据访问。

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  • The implementation contains methods encapsulating all required SQL statements for data access and manipulation.

    该实现包含封装所有用于数据访问和操纵的sql语句的方法。

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  • In this article, you'll learn about layered testing with simulated data access objects (SDAOs).

    在本文中,您将了解使用模拟数据访问对象(SDAO)进行分层测试。

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  • Is there something to be learned about data access and portability from these services?

    那么从这些服务中,我们能学习到关于数据访问和可移植性的哪些经验呢?

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  • Reducing code duplication in the data access tier.

    减少数据访问层中的代码重复。

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  • For more information about how to view and interpret DB2 data access plans, see Resources.

    关于如何查看和解释DB 2数据访问计划的更多信息,请参见参考资料。

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  • SPARQL doesn't require you to design a data access interface.

    SPARQL不需要设计数据访问接口。

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  • In the sections that follow you'll learn techniques for designing and implementing data access objects.

    在下面一节中您将学习设计和实现数据访问对象的技术。

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  • Personally I like the idea of keeping all the data access logic encapsulated in that class.

    我个人倾向于将所有的数据访问逻辑封装到这个类中。

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  • Logic and metadata used to define data access and aggregation can be reused across different projects.

    用于定义数据访问和聚集的逻辑和元数据可以在不同的项目之间重用。

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  • A stored procedure is a popular feature that is widely used for improving data access performance.

    存储过程是一种很受欢迎的功能,它广泛用于提高数据访问性能。

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