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Test Author Guide
This guide describes how to create test assets in HCL OneTest™ Server and publish test assets to the Git repository that you have configured. You can also edit existing test assets that are in the repository added to your project. This guide is intended for testers and test managers.
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.
Deleting a dataset
You can delete the dataset when it is not required in your test environment.

Test Author Guide
This guide describes how to create test assets in HCL OneTest™ Server and publish test assets to the Git repository that you have configured. You can also edit existing test assets that are in the repository added to your project. This guide is intended for testers and test managers.
- Test authoring
  You can use HCL OneTest™ Server to author tests instead of creating the tests by using the desktop products.
- 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 HCL OneTest™ Server to replace the existing dataset values with new dataset values during a test or schedule run.
  - Editing a dataset
    You can add, modify, remove, import, or export 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 HCL OneTest™ Server, you can publish your changes to the Git repository. Therefore, when you publish the dataset, other members in the project can use your dataset in their test run, if required.
  - Viewing a dataset
    When test assets includes datasets, you can view the contents of a dataset from HCL OneTest™ 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.

Deleting a dataset

You can delete the dataset when it is not required in your test environment.

Before you begin

You must have at least one dataset asset in your Git repository that you have configured.

About this task

You can delete datasets in HCL OneTest™ Server in the following scenarios:

Datasets that you created in the desktop clients and that are cloned to the repository in your project on HCL OneTest™ Server.
Datasets that you created in HCL OneTest™ Server and that are published to the repository in your project.
Datasets that are in the .csv file format.

You cannot delete the following datasets:

Datasets that you created or edited in HCL OneTest™ Server and that are not published to the repository in your project.
Datasets that are in the .sit file format.

Procedure

Login to HCL OneTest™ Server, if you are not already logged in.
Open a project from the team space.
Go to the Datasets page, find the dataset that you want to delete.
Click the Menu icon from the Actions column of a dataset, and then click Delete.
Clear the Publish delete to <branch name of the configured Git repository> checkbox to delete the dataset from your project.

When you clear this option, the deletion of the dataset does not reflect in the configured Git repository. Therefore, the other members of the project can still use the dataset that you have deleted. If you want, later you can publish the dataset to the Git repository from the Changes page.

Note: By default, Publish delete to <branch name of the configured Git repository> field is selected.
Enter a description for deleting the dataset in the Description of change field.

Perform the following action:


Option	When	Action
Publish delete to `<branch name of the configured Git repository>`	Selected ☑	Click Delete and Publish
	Cleared ☐	Click Delete

A message is displayed for the successful deletion of the dataset.