Creating a dataset by using a database query
When you use variable data that is contained in a database, you can create a database query to import the required data from a database and use the data that is present in the database query to create a dataset in HCL DevOps Test Hub (Test Hub).
Before you begin
- Ensured that you are assigned a role as a Project Owner or Tester in the project. See Managing access to the server projects.
- Created a project in your team space in Test Hub. See Adding a project.
- Added the remote Git repository that contains the test resources to the project. See Adding repositories to a server project.
- Created at least one database query. See Creating a database query.
Procedure
-
Log in to Test Hub.
The team space that contains your project is displayed.
-
Click
to open the project that contains the test assets.
The Overview page of the project is displayed.
-
Click
.
The Data page and the Data navigator panel are displayed.
-
Select the branch in the project repository from the
Branch list.
The assets and resources in the selected branch are displayed in the Data navigator panel.
-
Perform any of the following actions:
- Click the Open action menu icon in the Data navigator panel, and then click Dataset.
- Click Add files in the right panel, and then click Dataset.
The Edit branch dialog is displayed.
-
Select your action to either select an existing Edit branch or create
an Edit branch:
- Perform the following steps to select an existing Edit
branch:
- Select an Edit branch from the Select branch list if Edit branches already exist in the selected branch of the repository.
- Click Ok.
- Perform the following steps to create the Edit branch:
- Select Create new branch.
- Enter a name for the Edit branch.
- Click Save.
- Perform the following steps to select an existing Edit
branch:
-
Create a folder, if you want to use a new folder to contain the
resource by performing the following steps:
-
Perform the following steps in the Create Dataset
dialog:
The dataset is displayed on the Data page. The dataset created is listed under the logical folder Datasets under the physical folder MyFolder that you created.
Results
What to do next
You can perform the following tasks:
-
Add, modify, or remove data in the dataset. See Editing a dataset.
-
Publish the dataset to the Git repository so that other members of the project can use the dataset. See Publishing changes in datasets.