> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/app/setting-up-your-database/spark-sdk/spark-sdk-workspace-data-connections.md).
# Configuring Spark SDK workspace data connections
The SDK requires a connection to the Tonic Structural web server. In Structural, you create a workspace that connects to a Spark database.
To retrieve the table information and data, you provide a connection to a Hive catalog database.
When you create the workspace, from the **Connection Type** dropdown list, select **Spark**.
## Providing the connection details
Under **Catalog Database**, to connect to a Hive catalog using the SDK:
1. In the **Hive Catalog Database** field, enter the name of the database.
2. In the **Server** field, provide the server where the database is located.
3. In the **Port** field, provide the port to use to connect to the database.
4. In the **Username** field, provide the username for the account to use to connect to the database.
5. In the **Password** field, provide the password for the specified user.
6. To test the connection to the Hive catalog database, click **Test Hive Connection**.
## Enabling validation of table filters
For Spark workspaces, you can provide `WHERE` clauses to filter tables. For details, go to [Table modes](/app/generation/table-modes.md#table-mode-filter-tables).
The **Enable partition filter validation** setting indicates whether Structural validates those filters when you create them.
By default, the setting is in the on position, and Structural validates the filters. To disable the validation, toggle **Enable partition filter validation** to the off position.
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