Delta Lake API
Learn how to use Spark SQL to achieve the same functionality as the Delta Lake API
When using Delta Lake, the API does not go through the normal Spark execution path. This means that Immuta's Spark extensions do not provide protection for the API. To solve this issue and ensure that Immuta has control over what a user can access, the Delta Lake API is blocked.
Spark SQL can be used instead to give the same functionality with all of Immuta's data protections.
Requests
Below is a table of the Delta Lake API with the Spark SQL that may be used instead.
See here for a complete list of the .
When a table is created in a project workspace, you can merge a different Immuta data source from that workspace into that table you created.
Create a temporary view of the Immuta data source you want to merge into that table.
Use that temporary view as the data source you add to the project workspace.
Run the following command: