> For the complete documentation index, see [llms.txt](https://docs.pentaho.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/pdi-job-entries-reference-overview/bulk-load-into-databricks/options-bulk-load-into-databricks/output-tab-bulk-load-into-databricks.md).
# Output tab
Use this tab to configure the target table in Databricks. Once a connection is selected for the entry to use, the **Catalog** field is populated with the available catalogs from that Databricks connection. Once you select a catalog, the **Schema** field is populated, then when you select a Schema, the tables are populated.
| Field | Description |
| ----------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Database connection** | Specify the Databricks database connection to the Databricks account. You can authenticate with either an access token or a username and password. The username must be the email address that you use to login to Databricks. Click Edit to revise an existing connection; click New to add a new connection.
For example:
jdbc:databricks\://\:443;HttpPath=\;PWD=\ and jdbc:databricks\://\:443;HttpPath=\. The Custom driver class name is com.databricks.client.jdbc.Driver.
|
| **Catalog** | Specify a catalog from the list of available catalogs in your Databricks connection. |
| **Schema** | Specify the schema of the target table. |
| **Table name** | Specify the name of the target table. |
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.pentaho.com/pdia-data-integration/9.3-data-integration/pdi-job-entries-reference-overview/bulk-load-into-databricks/options-bulk-load-into-databricks/output-tab-bulk-load-into-databricks.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.