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Test Author guide
This guide, which is intended for a tester and test manager, describes how to create test assets in Rational® Test Automation Server and publish test assets to the Git repository that you have configured.
Datasets overview
A dataset provides tests with variable data during a run. The test that uses a dataset at run time replaces a value in the recorded test with variable test data that is stored in the dataset.
Publishing a dataset
When you create or edit any datasets in Rational® Test Automation Server, you can publish your changes to the Git repository. Therefore, when you publish a dataset, other members in the project can use your dataset in their test assets run, if required.

Test Author guide
This guide, which is intended for a tester and test manager, describes how to create test assets in Rational® Test Automation Server and publish test assets to the Git repository that you have configured.
- Datasets overview
  A dataset provides tests with variable data during a run. The test that uses a dataset at run time replaces a value in the recorded test with variable test data that is stored in the dataset.
  - Creating a dataset
    You can create datasets in Rational® Test Automation Server to replace the existing dataset values with new dataset values during a test or schedule run.
  - Dataset editing
    You can add, modify, or remove data from a dataset by using the CSV Editor. The working principle of the CSV Editor is similar to that of a spreadsheet.
  - Publishing a dataset
    When you create or edit any datasets in Rational® Test Automation Server, you can publish your changes to the Git repository. Therefore, when you publish a dataset, other members in the project can use your dataset in their test assets run, if required.
  - Viewing a dataset
    When test assets includes datasets, you can view the contents of a dataset from Rational® Test Automation Server. The datasets residing in the Git repository are listed in the Datasets page.
  - Deleting a dataset
    You can delete the dataset when it is not required in your test environment.
- Generation of test data
  To test an application, you use data that is passed to get real-time results. Since creating test data manually is time-consuming, you can use HCL® OneTest™ Data, an automated tool to generate random test data. You can generate the test data in various file formats.

Publishing a dataset

When you create or edit any datasets in Rational® Test Automation Server, you can publish your changes to the Git repository. Therefore, when you publish a dataset, other members in the project can use your dataset in their test assets run, if required.

Before you begin

You must have created, edited, or deleted dataset asset in Rational® Test Automation Server.

About this task

The Changes page lists all updates made to the dataset assets. The status of the dataset can be creation, modifications, or deletion of datasets. You can publish all updated datasets or a single dataset listed in the Changes page to the Git repository by selecting the appropriate checkboxes.

changes_page

Rational® Test Automation Server processes one publish request at a time. Therefore, when multiple users attempt to publish the same dataset, the request that reaches first from the users is processed. The other users receive an error message, and they are unable to publish.

When you modify the dataset and publish it to the Git repository, the other members who have access to that dataset can view the updated dataset. You can also perform the following actions from the Changes page:

Edit - If you want to make any last-minute updates to the dataset before publishing.
Discard - To remove the changes that you made to the dataset asset.

Procedure

Go to the Rational® Test Automation Server URL.
Enter your user name and password, and then click Login.
From the Rational® Test Automation Server UI, open your project.
Go to the Changes page, find the dataset that you want to publish.
Select the checkbox preceded with the Dataset name to publish to the Git repository, and then click Publish.
Enter a description for the changes made to the dataset, and then click Publish.
A message is displayed for successful pushing of changes to the Git repository.

Results

You have published the modified dataset into the Git repository.