# DeltaLake (via Databricks)

## How does Rasgo work with Databricks?

Rasgo is a metadata-only product, meaning all of your actual data stay in your data warehouse and Rasgo queries it there via dynamically generating SQL.

Rasgo performs reads-only operations in your Databricks env:

* Rasgo reads the information schema for tables and columns it has access to
* Rasgo dynamically generates and executes SQL on behalf of the user to analyze data

## Connecting to Databricks

#### IP Restrictions

Rasgo will always connect to your account from these IP addresses. Make sure to whitelist them if you have networking restrictions enabled.

| IP Address   |
| ------------ |
| 54.84.138.60 |
| 54.84.66.109 |

### Credentials

Rasgo needs service credentials to authenticate and execute SQL queries in your account.

When connecting Rasgo to your Databricks account, you'll need to provide this info:

| Field           | Description                                                  | Example                     |
| --------------- | ------------------------------------------------------------ | --------------------------- |
| Server Hostname | The Databricks compute resource’s **Server Hostname** value. | abc.123.azuredatabricks.net |
| HTTP Path       | The Databricks compute resource’s **HTTP Path** value.       | /sql/1.0/warehouses/abcde   |
| Access token    | A Databricks personal access token                           | aeiou-1                     |

{% hint style="info" %}
Rasgo connects to Databricks using a personal access token by default. If you require a different connection method, please contact Rasgo for advanced connection support.
{% endhint %}

### Synchronous Execution 

Rasgo connects to your Databricks account using a python connector. This limits the response time of individual queries to 30 seconds. If a query does not return results in under 30 seconds, the connection will be terminated and Rasgo will return an error message to the end user.

### Success!

Configuration is complete! You're ready to start using Rasgo.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.rasgoml.com/rasgo-docs/integrations/deltalake-via-databricks.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.