Follow the instructions below to connect Yellowfin to a Google BigQuery data source. You can use any of your Google service accounts to authenticate the connection.
If the writable data source functionality is enabled, you are permitted to write data to a Google BigQuery database |
Before you use Google BigQuery as a data source, Yellowfin needs a driver to connect to it. Yellowfin does not ship with the driver due to licensing/paywall considerations, but you can upload your preferred driver (such as those offered by Google) via the Yellowfin Plugin Manager.
Once you have uploaded a driver for BigQuery, follow the steps below connect your data source.
You can use any of your Google service accounts to authenticate this connection. The table below provides further details of the fields you'll be asked to provide values for.
Field | Description |
---|---|
Include Schema in SQL | Selecting this checkbox adds the schema name when address database tables in SQL queries. |
Project | This is the project ID of your Google BigQuery project. Avoid using your project name as this won't work. |
Service Account | The email address of your Google service account. |
P12 Key File Path | The full path to a private key file for a service account. This is used to authenticate the service account email address. This field supports both types of key formats — .p12 and .json. You can create and download this from your Google service account. |
Default Dataset | Unqualified BigQuery tables (those without a specified schema) will be linked to this default schema. |
JDBC Driver | This shows the details of the JDBC driver that you installed to talk to Google BigQuery databases. It should be prefilled by default, so you shouldn't need to change this field. |
Click on the arrow to the right of the Create View button and choose the option (see Creating a Basic Data Source Connection for more information on each of these options)
We recommend testing the connection, and then saving it by using the Save & Close button. |