Decrypting a dataset column
To view the content of an encrypted dataset in HCL DevOps Test Hub (Test Hub), you can decrypt the dataset column. Removing encryption from a dataset revokes the protection offered to the test data.
Before you begin
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 that contains your project with the datasets that you want to
edit.
The projects in the selected branch are displayed in the Data navigator panel. The datasets are listed under the folder you created to contain the dataset within a logical folder named Datasets.
-
Click the dataset in the data navigator.
The dataset opens in the right pane.
- Click Edit.
-
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 Use 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.Note: A warning message is displayed if the Edit branch, which you selected, is behind the source branch. To update the selected edit branch and maintain synchronization with the source branch, you can select the Update branch option when switching checkbox.
- Click Ok.
- Perform the following steps to create the Edit branch:
- Select Create new edit branch.
- Enter a name for the Edit branch in the Branch Name field.
- Click Save.
- Perform the following steps to select an existing Edit
branch:
-
Right-click encrypted cells that display the contents with asterisks, and then select
Decrypt column data.
The Decrypt Column window is displayed.
- Enter the encryption key that you used to encrypt the data in the column in the Encryption Key field.
-
Click Decrypt Column.
Asterisks are replaced with the actual data in the decrypted column.
- Click the Save icon to save the changes to the dataset.