---
id: databricks
title: Databricks
---
Databricks is a cloud-based platform for data processing, analytics, and machine learning. ToolJet connects to Databricks, allowing your applications to access and update your data in your Databricks Warehouses directly using SQL queries.
## Configuration
ToolJet's Databricks integration relies on a configuration form that supports the following parameters:
#### Required Parameters
- **Server hostname**: The server hostname or the IP address of your Databricks Warehouse. For example, `62596234423488486.6.gcp.databricks.com`.
- **HTTP Path**: The API endpoint path for the Databricks resource you want to access. For example, `/sql/1.0/warehouses/44899g7346c19m95`.
- **Personal access token**: Personal access tokens are used for secure authentication to the Databricks API instead of passwords. For example, `dapi783c7d155d138d8cf14`.
#### Optional Parameters
- **Port**: The port number of your Databricks Warehouse. The default port number is `443`.
- **Default Catalog**: The default catalog to use for the connection.
- **Default Schema**: The default schema to use for the connection.
### Setup
- Navigate to your Databricks workspace, select the desired SQL Warehouse, and find **Server Hostname** and **HTTP Path** within the connection details tab.
- To generate a personal access token, access your Databricks User Settings, select the Developer tab, click Manage under Access Tokens, and then click on the **Generate New Token** button.
- Navigate to the Databricks datasource configuration form in ToolJet, fill in the required parameters, and click the **Save** button. You can test the connection by clicking the **Test Connection** button.
## Querying Databricks
1. Click on + Add button of the query manager at the bottom panel of the editor.
2. Select the **Databricks** datasource added in previous step.
3. Select the **SQL Mode** from the dropdown. (ToolJet currently supports only SQL mode for Databricks interactions.)
4. Click on the **Preview** button to preview the output or Click on the **Run** button to create and trigger the query.
:::tip
You can apply transformations to the query results. Refer to our transformations documentation for more information: [link](/docs/app-builder/custom-code/transform-data)
:::
## Supported Queries
Databricks supports standard SQL commands for data manipulation tasks.
### Read Data
The following example demonstrates how to read data from a table. The query selects all the columns from the _customers_ table.
```sql
SELECT * FROM customers
```
### Write Data
The following example demonstrates how to write data to a table. The query inserts a new row into the _customers_ table.
```sql
INSERT INTO customers (
customer_id,
first_name,
last_name,
email,
phone,
city,
state,
zip_code,
country
) VALUES (
'1001'
'Tom',
'Hudson',
'tom.hudson@example.com',
'50493552',
'San Clemente',
'CA',
'92673',
'USA'
);
```
### Update Data
The following example demonstrates how to update data in a table. The query updates the _first_name_ and _email_ column of the _customers_ table.
```sql
UPDATE customer
SET first_name = 'John',
email = 'john.hudson@example.com'
WHERE customer_id = 1001;
```
### Delete Data
The following example demonstrates how to delete data from a table. The query deletes a row from the _customers_ table.
```sql
DELETE FROM customer
WHERE customer_id = 1001;
```
