The user mapping defines how the authorization ID at the local database (MYSAMPLE) is mapped to an authorization ID at the remote database (SAMPLE).
用户映射定义本地数据库(MYSAMPLE)中的授权ID如何映射到远程数据库(SAMPLE)中的授权id。
Sample drawings include things like timelines, website wireframes, mobile development mockups, and mapping templates.
其中包括时间表、网站框架、手机开发模型、地图等内容。
In this sample scenario, local and remote user are identical, nevertheless a user mapping has to be defined.
在这个示例场景中，本地用户和远程用户是相同的，但是仍然必须定义用户映射。
See the sample project provided with this article for message sets and a flow that includes an appropriate message mapping file.
请参阅本文提供的示例项目，了解包括适当消息映射文件的消息集和流。
When a SIP call is placed to a SIP URI, the call is forwarded to another SIP URI, based on the mapping defined by the sample, by using the UI shown in Figure 1.
当一个SIP访问被置于SIPURI中时，通过使用图1所示的用户界面，基于示例定义的映射，该访问会被转寄给另一个SIP URI。
The Mapping Editor also contains a test view that allows you to associate sample input XML and see the output XML of a map immediately.
MappingEditor还包含了一个测试视图，允许您关联样例输入XML并立即查看映射的XML输出。
From within the Mapping Editor, you can click the associate XML files toolbar button, and then use the Generate input button to create and associate a new sample input file.
在MappingEditor内，可以单击associateXMLfiles工具栏图标，随后使用GenerateInput按钮来创建并关联一个新的样例输入文件。
My sample script creates one user mapping for the "saracco" account; on the remote Oracle system, this ID will be mapped to "demo" with a password of "demopwd".
我的示例脚本为 "saracco"帐户创建了一个用户映射；在远程Oracle系统上，这个ID将被映射到带有密码 "demopwd" 的 "demo" 用户。
This third article in a series covered the mapping of Win32 to Linux with respect to semaphore APIs, along with semaphore sample codes for your reference.
本系列的第三篇文章从信号api的角度讲述了从Win32到Linux的映射，并给出了您可以引用的信号示例代码。
A sample JAAS login module that performs this type of mapping can be found in the WebSphere Application Server Information Center.
WebSphereApplicationServer信息中心提供了一个示例JAAS登录模块，可执行这种类型的映射。
Performance counter data is collected based on the counter sets, the mapping of the counter set to a specific computer, and the sample rate.
性能计数器数据是根据计数器集、计数器集到特定计算机的映射以及采样速率收集的数据。
Running a very simplistic sample application, you can see the JAXBHandler in action, mapping data from a pureXML column into an Employee bean. The application code and the output are in Figure 10.
通过运行一个非常简单的示例应用程序，可以看到JAXBHandler把purexml列中的数据映射为Employeebean的效果。
The sample data flow needs two XML Relational Mapping operators.
示例数据流需要两个XMLRelationalMapping操作符。
From within the XML Mapping Editor, you can click the Associate XML files toolbar button and then use the Generate Input button to create and associate a new sample input file.
从XMLMappingEditor 内，可以单击Associate XMLfiles工具栏按钮，然后使用GenerateInput 按钮来创建和关联新示例输出文件。
Select the User Mapping page and map to the database you wish to connect to; in this example, the SAMPLE database is used (Figure 8).
选择userMapping页面，映射到需要连接到的数据库；在本例中，使用的是SAMPLE数据库(见图8)。
The confirmation page shows your newly generated API key, the URL it's associated with, and a sample Web page to, as they say, "get you started on your way to mapping glory."
确认页面将显示刚生成的API 密匙、与密匙相关联的URL和一个 “getyoustartedonyourwayto mapping glory” 的示例Web 页面。
Using this mapping image can visually eliminate abnormal sample data, select decision variables and predict optimal operating point and direction for an industrial process.
利用映射图象可以直观地剔除异常样本数据、选择优化决策变量和预测最优操作点和优化方向。
To establish the motion to music mapping relationship, we train a motion to music matching quality rating function according to the sample dance data.
为了获得动作与音乐之间的映射关系，我们对样例数据进行训练，得到一个动作一音乐匹配程度的评价函数。
The sample illustrate that this method is a single mapping for distance, Angle and velocity, and any change in this three parameter can be found in threaten calculation results.
算例表明该算法是双方距离、角度和速度的单射函数，对于各种变化都能在威胁计算中得到反映。
The mapping of theinputs to outputs of the neural network is analysed to illustrate the rationality of the proposed neural network structure. And the results of a 6-machine sample system are given.
分析了所选神经网络输出量与输入量之间的映射关系，并给出了6机试例系统的结果。
In the 4th chapter, the BP neural networks is used to study the sample data, thus realize the mapping from absorbing energy of Charpy Experiment to fracture toughness on the basis of probability.
第四章主要是应用神经网络算法学习由数值计算得到的样本，实现了由夏比吸收能量值到断裂韧性值的在概率基础上的映射。
In the 4th chapter, the BP neural networks is used to study the sample data, thus realize the mapping from absorbing energy of Charpy Experiment to fracture toughness on the basis of probability.
第四章主要是应用神经网络算法学习由数值计算得到的样本，实现了由夏比吸收能量值到断裂韧性值的在概率基础上的映射。
应用推荐