图1说明了关系实例数据导入和导出地场景。
Figure 1 illustrates the relationship instance data import and export scenario.
它覆盖了数据流图和一些正式的规范技术，如关系记号，状态记号，规则表示法等等。
It covers data flow diagrams and several formal specification techniques, such as relational notations, state notations, regular expressions, and so on.
结合在集成本地XML存储数据一节介绍的场景，来看看图4所示的实体关系图，该图描述了一个在线书店的场景。
Based on the scenario introduced in the Integrating local XML store data section, consider the entity relationship diagram shown in Figure 4 that describes an online bookstore scenario.
图3展示了DB 2如何支持公司管理XML消息和文档以及传统的关系数据。
Figure 3 illustrates how DB2 enables firms to manage XML messages and documents alongside traditional relational data.
图1显示了XML数据服务提供程序与XML data service provider andthe XMLLotusSametimebot扩展之间的关系。
Figure 1 shows the relationship between the XML data service provider and the XML Lotus Sametime bot extension.
还是和业务流程模型一样，我们构建一个类关系图来显示必须在每个状态中可见的数据以支持各种选择。
Also like the business process model, we build a class diagram to show the data that must be visible in each state to support the various choices.
对于传统的建模技术，例如实体关系图或数据流程图，没有可用的特定测试技术会过时。
For traditional modeling techniques, such as entity relationship diagram or data flow diagram, no specific test techniques are available to date.
将此数据制作成平均CPU使用率与每分钟事件的关系图，会发现这个关系是线性的(请参阅图1)。
When this data is graphed out with the average CPU usage versus events per minute, you can see that the relationship is linear (see Figure 1).
右图是报告中的一张图表，从中你可以得到一些相关数据。图中可以看到单位劳动力成本与工资和劳动生产率之间的关系。
You can see some of the figures from the report in the chart at right, where unit Labour costs are broken down into the contributions from wages and productivity.
注意它们包含了与数据库表列，以及设置的主关键字、关系相对应的区域(图19)。
Notice that they contain fields corresponding to the database table columns and that the primary keys and relationships have been set (Figure 19).
这些关系图驱动持久性数据。
将继承映射到关系数据库中有三种基本解决办法，为更好地理解它们，我将讨论在图1中显示的映射类图表的优缺点。
There are three fundamental solutions for mapping inheritance into a relational database, and to understand them I will discuss the trade-offs of mapping the class diagram presented in Figure 1.
通过创建数据流关系图和描述，您可以看到业务流的优缺点。
By creating diagrams and descriptions of the data flow, you can see the business flow's weaknesses and strengths.
第一种关系模式是对MIML数据的非常简单的关系表示(图5)。
The first relational schema is a very straightforward relational representation of the MIML data (Figure 5).
图2演示了关系数据库中的星形模式。
Figure 2 illustrates the star schema in the relational database.
图7描述了关系数据库中的星型模式。
Figure 7 illustrates the star schema in the relational database.
数据库模型：包括SOA使用的数据库的实体关系图。
Database model: Includes an entity relationship diagram for the databases the SOA USES.
如果您需要调用不同的目标服务，只需将其导入和引用添加到组装关系图，以便数据处理程序能找到此服务即可。
If you need to invoke a different target service, all you have to do is to add its import and reference to the data handler assembly diagram so the data handler can locate the service.
在 2005 年，曾经为PDB开发过这样的一个关系数据库模式，如图2 所示。
Such a relational database schema for the PDB was developed in 2005 and is shown in Figure 2.
您应可看出示例文档与模式之间的对应关系，SDO数据图非常清晰。
You should find that the correspondence between the instance document, the schema, and the SDO data graph is clear.
这是UM l类关系图，其中的输入为接口和表示数据模型的类图表。
This is a UML class diagram where the input is an interface and class graph that represents the data model.
图1显示了应用程序和数据源之间的关系。
Figure 1 shows the relation between the applications and data sources.
您可以使用带标注的关系图对数据进行可视化。
用户必须通过对象和数据流关系图才能了解实现细节，以便部署服务(Shi, 2004)。
Users have to follow the object and data flow diagrams to learn the implementation details so as to deploy the services (Shi, 2004).
图3说明了给定分区的数据库对象之间的关系。
Figure 3. DB2 object-relationship diagram for a given database partition.
图3描述了表单上Name文本字段和数据实例的Name元素之间的关系。
Figure 3 depicts the relationship between the Name text field on the form and the Name element of the data instance.
图1显示了Acme成员子系统的物理关系数据库。
Figure 1 represents the physical relational database for Acme's membership subsystem.
概要数据来自于调用关系图概要文件（缺省情况下是 gmon.out）。
The profile data is taken from the call graph profile file (gmon.out by default).
图11显示了StateCode关系的实例数据窗口。
Figure 11 shows the instance data window for the StateCode relationship.
从图1中的事件流关系图中，可以发现DataCapture环境将在事件数据源附近的分布式模型中运行。
From the event-flow diagram in Figure 1, you see that the data Capture environment is intended to run in a distributed model near the event data sources.
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