![]() ![]() In the details panel, click Create dataset.In the Explorer panel, select the project where you want to create the dataset.Open the BigQuery page in the Cloud Console.Creating the BigQuery datasetĪfter you've enabled the BigQuery API, follow these instructions to create a BigQuery dataset: To send your Fastly logs to your BigQuery table, you'll need to enable the BigQuery API in the Google Cloud Platform API Manager. Open the file and make a note of the values of the private_key and client_email fields. This file contains the credentials for your BigQuery service account. When you create the BigQuery service account, a JSON file automatically downloads to your computer. Obtaining the private key and client email Our guide to creating an Google IAM role provides further details on this feature. If you elect to use Google service account impersonation in order to avoid storing keys with Fastly you may use this same service account for that purpose. Set the key type to JSON when creating the service's private key pair. See BigQuery Roles for details about the default permissions assigned to the Big Query Data Editor role. The service account must be assigned the Big Query Data Editor role to write to the table you use for Fastly logging. Keep the following in mind when creating the service account: To create a new service account, follow the instructions in the Google Cloud documentation. ![]()
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