The New Datapool window will open (Figure 18).
新的数据池窗口将被打开，如图18中所示。
Replace recorded search value with datapool value.
用数据池值取代记录搜索值。
You can perform the following actions on the imported datapool
您能够在被导入的数据池中执行以下操作
You can refer to datapool fields by index or by name in your script.
您可以通过索引或脚本中的名称查阅到数据池字段。
You can effectively perform data input actions by using the Test Datapool feature.
您可以使用TestDatapool特性，来有效地执行数据输入操作。
All the files that were introduced earlier are stored in the c: \ MyTests \ Datapool folder.
前面介绍的所有文件都存储在C： \MyTests \Datapool文件夹中。
Random means that at playback, the test script randomly accesses every record in the datapool once.
Random 是指在回放时，测试脚本每次随机地访问数据池中的每条记录。
In the select datapool column window, select SearchString, then click Use column, as shown in Figure 11.
在Selectdatapoolcolumn窗口中，选择SearchString，然后点击use column，如图11所示。
In the resulting dialog, select the datapool you want (the file with the.datapool extension, not the CSV file).
在结果对话框中，选择您想要的数据池(扩展名为。datapool的文件，而不是CSV文件)。
Every test script that you create has a private test datapool associated with it -- this happens automatically.
您创建的每一个测试脚本都有一个私有的测试数据池与其相关联--这是自动生成的。
Instead, the Rational Performance Tester DataPool class reads text files that contain the data pool items to use.
相反，RationalPerformance Testerdatapool类读取的文本文件中包含要使用的数据池条目。
Since the new test was generated from the initial recording, it will not include the edits for substituting datapool values.
由于这个新测试是从最初的记录中产生的，它将不包含取代数据池数值的编辑。
In the final New Datapool window, shown in Figure 6, clear the First row contains variable names and suggested types checkbox.
在最后的窗口中，如图6所示，清除Firstrowcontainsvariablenamesandsuggestedtypes复选框。
After the file runs, a log is generated in your projects log folder, for example, c: \ safs \ project \ MyTests \ Datapool \ Logs.
在文件运行之后，在项目日志文件夹中会生成一个日志文件，例如，c： \safs \Project \MyTests \Datapool \Logs。
You are starting with the simple test (with a datapool used to hold multiple search items), which was created in Part 1 of this series.
您可以以一个简单的测试（带有一个数据池，用来容纳若干个搜索条目）来开始，它在这个系列的第 1部分就已经创建了。
If you look at the datapool that you just created, you can see that you are on the default equivalence class created for the datapool ( Figure 4).
如果您查看您刚刚建立的数据池，您使用的是数据池的默认设置，如图4所示。
Performance Tester indicates that these values are good candidates for substitution with datapool values by changing the color of the text to green.
Performance Tester指出这些数值是代替数据池数值的很好的候选者，候选者是通过将文本颜色变成绿色来标识的。
Right-clicking on the grid opens the pop-up menu ( Figure 7) that you use to add or maintain the datapool structural elements already described here.
右键点击这个虚框，打开弹出式选单（图7），用它来添加或者维护已有的数据池构件元素。
To data-drive a script, you select an object in the application-under-test, and Rational Functional Tester then populates a datapool with data from the application.
要数据驱动一个脚本，您需要在被测试应用程序中选择一个对象，然后RationalFunctionalTester 将应用程序里的数据填充到一个数据池。
To data-drive a script, you select an object in the application-under-test, and Rational Functional Tester then populates a datapool with data from the application.
要数据驱动一个脚本，您需要在被测试应用程序中选择一个对象，然后RationalFunctionalTester 将应用程序里的数据填充到一个数据池。
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