理解生成的SOAP和数据类。
每列标识出来的数据类。
“数据类”真的是一个代码味道吗？
本文构建了一种新的高维数据类模板。
This paper constructs one kind of new class template which deal with high dimension data.
3000kbps已经使用到了语音和数据类(class)上。
创建数据类和一个实用类来获取EntityManager实例。
Create data classes and a utility class for getting an EntityManager instance.
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。
If this is the case, then you should proceed to the next section, Understanding generated SOAP and data classes.
相反，Invoicing服务接口使用在图6中定义的数据类。
The Invoicing service interface, by contrast, uses the data types defined in Figure 6.
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。
TheEntity data model Wizard generates model and mapping information as well as data classes from an existing database.
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。
By modifying the bindings, you can generally even keep the same XML representation as your data classes are refactored.
第一个模板生成数据类本身，FixupCollection类会跟踪其变化。
The first template generates the data classes themselves and the FixupCollection class needed to track changes.
增强了实体数据类的持久化透明(persistence ignorance)能力。
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。
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).
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。
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.
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。
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.
fielddescription类只是个简单的数据类，容纳字段名称、签名和字段类型的引用。
The FieldDescription class is just a simple data class that holds the field name, signature, and a reference to the field type.
分类是一种重要的数据分析技术，可以用于提取描述重要数据类的模型和预测未来的数据趋势。
Sortation, which can be used to extract, describe major data type model and forecast the data tendency, is an important technology for data analysis.
数据分类和预测是两种数据分析形式，可以用于提取描述重要数据类或预测未来的数据趋势模型。
Data classification and prediction is the two forms of data analysis, can be used to extract important data to describe or predict the future trend of the data model.
例如，清单1定义了一个单元测试，该测试使用JUnit来验证一个叫做BeerDaoStub的存根数据类。
For example, Listing 1 defines a unit test that USES JUnit to verify a stubbed out data class called BeerDaoStub.
“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。
Generate database Wizard (Entity data model Tools) to automatically generate the storage model, mappings, data classes, and a database that supports the conceptual model.
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。
Say, you parse a database or an XML file and generate data classes. Tens of classes, hundreds of properties, all fairly generic, boilerplate stuff.
在Domino表单或web页面中，可以使用选择列表来控制此类输入，这样用户就无法向受限制的字段中添加随机数据类。
On a Domino form or a Web page, we can control this sort of input using a selection list, so that users cannot add arbitrary data to a restricted field.
参考 APIs_Reference.html的 3.1和 3.2 节，从响应返回的所有信息都将作为读方法被封装在每个数据类中。
With reference to sections 3.1 and 3.2 of the APIs_Reference.html , all information returned from the responses are encapsulated as getter methods in each data class.
在这个Web应用程序中，数据类为 dryang.twitterwebclient.IdAndAccessToken，它有三个字段：id、token 和tokenSecret。
In this Web application, the data class is dryang.twitterwebclient.
社会科学的研究方法生成两类数据。
The research methods of social science generate two kinds of data.
清单1给出了一个服务接口和根数据模型类的简单例子。
Listing 1 gives a simple example of a service interface, and a root data model class.
您能否说出它匹配哪类数据？
提供了用于转换数值和字母数据的类。
Classes are available to convert both numeric and character data.
提供了用于转换数值和字母数据的类。
Classes are available to convert both numeric and character data.
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