#Winrunner downloads how to#
You can use the arrows to select a different argument to replace.Ĭhoose whether and how to replace the selected data: The Argument to be replaced box displays the argument (value) that you can replace with a parameter. The highlighted value can be replaced by a parameter. The Test script line to parameterize box displays the line of the test script to parameterize.The replaced data is inserted into the table. The first argument of the function is the name of the column in the data table. > Automatically : Replaces all data with ddt_val statements and adds new columns to the data table. Line by line: Opens a wizard screen for each line of the selected test script, which enables you to decide whether to parameterize a particular line, and if so, whether to add a new column to the data table or use an existing column when parameterize data. > Parameterize the test : Replaces fixed values in selected checkpoints and in recorded statements with parameters, using the ddt_val function, and in the data table, adds columns with variable values for the parameters. For detailed information on working with Data Junction, refer to the documentation in the Data Junction package. To purchase Data Junction, contact your Mercury Interactive representative. Note that Data Junction is not automatically included in your WinRunner package.
#Winrunner downloads install#
You can install Microsoft Query from the custom installation of Microsoft Office. > Note that in order to import data from a database, either Microsoft Query or Data Junction must be installed on your machine. This option adds ddt_update_from_db, and ddt_save statements to your test script after the ddt_open statement. > Import data from a database: Imports data from a database. > If you do not choose this option, you will receive a warning that your data-driven test must contain a loop and statements to open and close your datatable. Note that you can also add these statements to your test script manually. > Add statements to create a data-driven test: Automatically adds statements to run your test in a loop: sets a variable name by which to refer to the data table adds braces (), a for statement, and a ddt_get_row_count statement to your test script selection to run it in a loop while it reads from the data table adds ddt_open and ddt_close statements -> To your test script to open and close the data table, which are necessary in order to iterate rows in the table. Choose from among the following options:.To the script at a later time without making changes throughout the script.This makes it easy for you to assign a different data table Throughout the script, only the table variable name is used. At the beginning of a data-driven test, the Excel data table you selected is assigned as the value of the table variable.In the Assign a name to the variable box, enter a variable name with which to refer to the data table, or accept the default name, “table.”.By default, the data table is stored in the test folder. The browse button to locate the path of an existing data table.Accept the default data table for this test, enter a different name for the data table, or use The Use a new or existing Excel table box displays the name of the Excel file that WinRunner creates, which stores the data for the data-driven test.If you want to turn the entire test into a data-driven test, click Next. Select those lines in the test script and reopen the DataDriver Wizard. If you want to turn only part of the test into a data-driven test, click Cancel.If you want to turn only part of your test script into a data-driven test, first select those lines in the test script.
You need to parameterize only the portion of your test script that you want to run in a loop with multiple sets of data. For example, your test script may include recorded operations, checkpoints, and other statements that do not need to be repeated for multiple sets of data.
#Winrunner downloads driver#
How to record a data driven test script using data driver wizard? You can use the DataDriver Wizard to convert your entire script or a part of your script into a data-driven test.