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# Deploy the Project on CamelX Platform # Databricks Sink
Deploy on CamelX Platform in three steps Send data to a Databricks Database. This Kamelet expects a JSON-formatted body. Use key:value pairs to map the JSON fields and parameters. For Unity Catalog workspaces, specify catalog and schema parameters.
## Step 1: Create a release ## Metadata
From the project space, click on **"Create a release"**
The new version is automatically available in the list | Property | Value |
|----------|-------|
| Type | sink |
| Group | SQL |
| Namespace | Database |
| Support Level | Preview |
| Provider | Apache Software Foundation |
## Step 2: Deploy ## Properties
Click on **"Deploy"**
- **Version:** Select the desired release | Name | Type | Required | Default | Description |
- **Environment:** Choose `Development`, `Staging`, or `Production` |------|------|----------|---------|-------------|
- **Configuration:** Select the configuration source | `serverHostname` | string | ✓ | | The Databricks server hostname. |
- **Resources:** Set CPU and Memory | `serverPort` | string | | `443` | The server port for the Databricks data source. |
| `httpPath` | string | ✓ | | The HTTP path to the Databricks SQL Warehouse or cluster. |
| `accessToken` | string | ✓ | | The personal access token to access Databricks. |
| `query` | string | ✓ | | The query to execute against the Databricks Database. |
| `extraOptions` | string | | `` | Additional JDBC connection options (e.g., ConnCatalog=main;ConnSchema=default). |
## Step 3: Expose ## Dependencies
Enable **"Expose"**
Choose an **API Gateway** (Internal, Public, etc.) - `camel:jackson`
- `camel:kamelet`
- `camel:sql`
- `mvn:com.databricks:databricks-jdbc:3.4.2`
- `mvn:org.apache.commons:commons-dbcp2:2.14.0`