Google BigQuery connector

With the Google® BigQuery® connector, you can use commands in a chain to interact with a BigQuery project. For example, with this connector, you can:

• Load and query data in BigQuery tables
• Retrieve metadata about BigQuery datasets, models, routines, and tables
• List datasets, models, routines, and tables in BigQuery

Prerequisites

To set up the connector, you'll need:

• The ID of the BigQuery project to connect to

  Note: In BigQuery, the project's ID appears in the Project selector.

• A designated project service account set up for the connector
• The service account's private key JSON file

Create a Google service account for the connector

To enable the connection, create a service account in the BigQuery project for the connector to use, and download its private key file:

1. From Service Accounts in Google Cloud Platform, select Select Project, and open the BigQuery project to connect to.
2. Click Create Service Account.
   
3. Enter a unique name and description to help identify the service account, and click Create.
   
4. For Role, select Project, Owner, and click Continue and then Done.
5. Under Service Accounts, select Actions, Create key for the new account.
   
6. Under Key type, select JSON, and click Create.

Set up the Google BigQuery connector

Note: To make the connector available for use in your organization's chains, an org security administrator first enables it from Configuration.

1. From Chain Builder, click Connections  compare_arrows, and then Create at the top right.
2. Under BizApp Connection, select Google BigQuery and the default CloudRunner.
   
3. Under Basic Info, enter a unique name and description to help identify the connector.
4. Under Resources, upload the private key JSON file for the connector's service account.
   
5. Under Properties, enter the connection's details:
   
   

   Property	Details
   Project ID	Enter the ID of the BigQuery project to connect to. Note: In BigQuery, the project's ID appears in the Project selector.
   Credentials file	Enter the name of the private key JSON file uploaded under Resources.

   Note: All sensitive credentials are automatically encrypted and stored at Advanced Encryption Standard (AES)-256 encryption.

6. Select the environments to use the connection, and click Save.
7. To test the connection, create and run a chain with the connector's List Datasets command, and verify it returns a valid output.

Troubleshooting

If the connection to Google BigQuery fails:

• Verify the project's ID. In BigQuery, the ID appears in the Project selector.
• Check the filename of the private key for the connector's service account. If necessary, create a new service account for the connector in Google Cloud Platform, and use its private key as the connector's credentials file.