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Removing Datasets from Repositories and Models

You can remove datasets at the repository and model levels.

Remove a dataset from a repository​

When you remove a dataset from a repository, it is removed entirely. Any model metadata that depends on the dataset is removed, as well. You should remove datasets that you do not intend to use in any model in the repository.

To remove a dataset from a repository:

  1. Open the Repo Browser.
  2. Locate the dataset you want to remove.
  3. Click its context menu and select Delete.
  4. In the dialog that appears, click Delete.
warning

Warning: Any dimensions, metrics, relationships, and calculated columns that depend on the dataset are removed from models in the repository.

Remove a dataset from a model​

When you remove a dataset from a model, any metrics or relationships based on its columns are also removed. However, the dataset itself remains available in the repository.

You cannot remove a dataset from a dimension if there are existing levels or secondary attributes that depend on columns in the dataset. Additionally, you cannot remove the primary dataset from a dimension.

To remove a dataset from a model:

  1. Open the model you want to remove a dataset from and switch to the Canvas tab.
  2. Locate the dataset you want to remove, click its context menu, and select Delete.
  3. In the dialog that appears, click Delete.
warning

Warning: Any metrics or relationships that depend on the dataset are removed from the model, as well. However, any calculated columns remain in the repository.