Looker
Looker can connect to ClickHouse Cloud or on-premise deployment via the official ClickHouse data source.
1. Gather your connection details
To connect to ClickHouse with HTTP(S) you need this information:
| Parameter(s) | Description |
|---|---|
HOST and PORT | Typically, the port is 8443 when using TLS or 8123 when not using TLS. |
DATABASE NAME | Out of the box, there is a database named default, use the name of the database that you want to connect to. |
USERNAME and PASSWORD | Out of the box, the username is default. Use the username appropriate for your use case. |
The details for your ClickHouse Cloud service are available in the ClickHouse Cloud console. Select a service and click Connect:
Choose HTTPS. Connection details are displayed in an example curl command.
If you are using self-managed ClickHouse, the connection details are set by your ClickHouse administrator.
2. Create a ClickHouse data source
Navigate to Admin -> Database -> Connections and click the "Add Connection" button in the top right corner.
Choose a name for your data source, and select ClickHouse from the dialect drop-down. Enter your credentials in the form.
If you are using ClickHouse Cloud or your deployment requires SSL, make sure you have SSL turned on in the additional settings.
Test your connection first, and, once it is done, connect to your new ClickHouse data source.
Now you should be able to attach ClickHouse Datasource to your Looker project.
3. Known limitations
- The following data types are handled as strings by default:
- Array - serialization does not work as expected due to the JDBC driver limitations
- Decimal* - can be changed to number in the model
- LowCardinality(...) - can be changed to a proper type in the model
- Enum8, Enum16
- UUID
- Tuple
- Map
- JSON
- Nested
- FixedString
- Geo types
- MultiPolygon
- Polygon
- Point
- Ring
- Symmetric aggregate feature is not supported
- Full outer join is not yet implemented in the driver
