Welcome
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.

Release Notes
This document includes information about What’s new, installation and upgrade instructions, known issues, and contact information of HCL Customer Support.
System Requirements
This document includes information about hardware and software requirements for HCL OneTest™ Server.
Getting Started Guide
This guide provides an overview of HCL OneTest™ Server. You can find the task flows to get you started with HCL OneTest Server. This guide is intended for new users.
Administrator Guide
This guide describes how to install the HCL OneTest™ Server software.
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 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 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.
Test Execution Specialist Guide
This guide describes tasks that you must complete before you can configure and run tests in HCL OneTest™ Server. You can find information about configuring runs for the different test types that are supported. You can also find information about other tasks that you can perform on the Resource Monitoring Service, Virtualization, and Integrations with third-party applications. This guide is intended for testers or test execution specialists.
Test Manager Guide
This guide describes how to manage and track your overall test effort. This guide is intended for test managers.
Reference Guide
This guide describes conceptual information about data design environment components when you want to use the data fabrication feature in HCL OneTest™ Server.
Troubleshooting
This guide describes how to analyze and resolve some of the common problems that you might encounter while you work with HCL OneTest™ Server.
All Guides (PDF)
You can find the link to view or download the content of the release notes, system requirements, and persona guides of HCL OneTest™ Server as a PDF file.
Security Considerations
This document describes the actions that you can take to ensure that your installation is secure, customize your security settings, and set up user access controls.
Notices
This document provides information about copyright, trademarks, terms and conditions for the product documentation.

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

Go to the HCL OneTest™ Server URL.
Enter your user name and password, and then click Login.
Open your project from the HCL OneTest™ Server UI.
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.