SQLX is an extension of SQL used in Dataform to manage and transform data through scripts that combine SQL with additional configurations like JavaScript (js). It allows for more advanced data manipulation and transformation within Dataform projects.

To use Gemini to generate SQLX code in Dataform:

1. Go to the Dataform page in the Google Cloud console.
2. Select or create a repository, and then select or create a workspace.
3. In the Files pane, select or create a .sqlx file.
4. Click pen_spark Gemini in the file tab.
5. Enter a natural language prompt in the Gemini dialog.
6. Optionally, specify the SQL action name in backticks (`) if known.
7. Click Generate to receive suggestions.
8. Review the suggestions and provide feedback if desired.
9. Click Insert to accept the suggestion and include it in your file.

To improve the suggestions from Gemini in Dataform, consider the following tips:

• Provide the SQL action name enclosed in backticks (), such as action_name`.
• Use prompt engineering by providing context in the prompt, especially if column names or relationships are complex. Describe the column name and its relevance, or explain complex terms like 'lifetime value' or 'gross margin' to guide Gemini towards the desired answer.

Gemini ensures the privacy of data in Dataform by not using your prompts or its responses as data to train its models. This means that the information you provide to Gemini remains confidential and is not utilized for improving the AI model.