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.
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.
You can apply transformations to the query results. Refer to our transformations documentation for more information: [link](/docs/app-builder/custom-code/transform-data)
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
```
<imgclassName="screenshot-full"src="/img/datasource-reference/databricks/readData.png"alt="Databricks: Read Data Query"style={{marginBottom:'15px'}}/>
### 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'
);
```
<imgclassName="screenshot-full"src="/img/datasource-reference/databricks/writeData.png"alt="Databricks: Write Data Query"style={{marginBottom:'15px'}}/>
### 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;
```
<imgclassName="screenshot-full"src="/img/datasource-reference/databricks/updateData.png"alt="Databricks: Update Data Query"style={{marginBottom:'15px'}}/>
### 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;
```
<imgclassName="screenshot-full"src="/img/datasource-reference/databricks/deleteData.png"alt="Databricks: Delete Data Query"style={{marginBottom:'15px'}}/>
