How to use databricks ai to auto generate data definitions for all the tables in my database?

Question

I know we can go to the catalog in databricks and generate data definitions for columns inside of our database using ai, but is there a way of automatically generating these definitions without have to manually generate them and click accept on every column?

Answer 1

Hi

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You can use the Databricks CLI (Command Line Interface) to automate this process.

Here are the steps to automatically generate data definitions for columns in your database using the Databricks CLI:

Install the Databricks CLI on your local machine by following the instructions in the Databricks documentation.

Open a command prompt or terminal window and authenticate with your Databricks workspace by running the following command:

databricks configure 

This command will prompt you to enter your Databricks workspace URL and access token.

Once you are authenticated, you can use the databricks workspace command to generate data definitions for columns in your database. Here is an example command:

databricks workspace generate-data-definitions --database &

Replace <database-name> with the name of your database and <output-path> with the path where you want to save the generated data definitions.

This command will generate data definitions for all columns in your database and save them to the specified output path.

You can also use the databricks workspace import command to import the generated data definitions back into your Databricks workspace. Here is an example command:

databricks workspace import 

Replace <output-path> with the path where you saved the generated data definitions.

This command will import the generated data definitions back into your Databricks workspace and overwrite any existing data definitions.

By automating this process with the Databricks CLI, you can save time and ensure consistency in your data definitions across your database.