Creating a dataset by using a CSV file

When a CSV files contains a large amount of data, you can use such CSV fie to create a dataset in HCL OneTest™ Server.

Before you begin

You must be a member of the project with the Owner or Tester role, and you must have completed the following tasks:

About this task

When you want to create or modify any dataset, you must have an edit branch. You can create the edit branch during the creation of dataset. All your dataset reside in the edit branch until you publish or discard the changes.

After you create the dataset, you can either publish your changes to a remote Git repository or you can discard the changes made to the dataset. The edit branch automatically disappears from the Branch list as well as from the remote Git repository and sets the global branch to the previously selected branch in the following conditions:

  • When you publish changes to the remote Git repository.
  • When you discard the changes made in the dataset.

Procedure

  1. Log in to HCL OneTest™ Server if you are not already logged in.
  2. Open a project from the team space.
  3. Go to Author > Datasets, and then select the Branch from the list where you want to store the dataset.
  4. Click Create dataset.

    Based on the Branch that you selected, the following window is displayed:

    • Edit Branch - If you selected other than the edit branch.

    • Create dataset – If you selected the edit branch.

  5. Perform one of the steps described in the following table to select or create the edit branch:

    Step description

    Step no

    To select the edit branch

    		 Perform 5.a

    To create the edit branch

    		 Perform 5.b
    1. Perform the following steps to select the edit branch:

      1. Choose the edit branch from the Select branch drop-down list if the edit branches are already existing.

      2. Click Ok.

    2. Perform the following steps to create the edit branch:

      1. Select Create new branch.

      2. Provide a name for the edit branch.

      3. Click Save.

  6. Enter a name for the dataset in the Asset name field.
  7. Select the place where you want to save the dataset in the Location field, and then click Next.
  8. Choose Import from a CSV file from the Select source list.
  9. Click Select File and choose the CSV file that contains variable data to import into the dataset.
  10. Enable First row contains headers by using the toggle icon if the CSV file contains the header.
  11. Click Create.
    The new dataset opens in a CSV Editor in a web browser. The dataset created is listed on the Datasets page.

Results

You have created the dataset by using the CSV file in your project.

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 a dataset.