To use the BigQuery Data Transfer Service, you must complete the following steps as a project Owner:
- Create a project and enable the BigQuery API
- Enable the BigQuery Data Transfer Service
For more information on Cloud IAM roles, see Understanding roles in the Cloud IAM documentation.
Creating a project and enabling the BigQuery API
Before using the BigQuery Data Transfer Service, you must create a project and, in most cases, enable billing on that project. You can use an existing project with the BigQuery Data Transfer Service, or you can create a new one. If you are using an existing project, you may also need to enable the BigQuery API.
To create a project and enable the BigQuery API:
-
在 GCP 主控台中,前往「Manage resources」(管理資源) 頁面。
-
選取專案,或按一下 [Create] (建立) 以建立新的 GCP 專案。
- You will need to enable billing on your project if you want to
transfer data from any of these sources:
- Campaign Manager
- Google Ad Manager
- Google Ads
- Google Merchant Center (beta)
- Google Play (beta)
- YouTube - Channel Reports
- YouTube - Content Owner Reports
請確認您已啟用 Google Cloud Platform 專案的計費功能。
- BigQuery is automatically enabled in new projects. To activate BigQuery in an existing project, 啟用BigQuery API。
Enabling the BigQuery Data Transfer Service
Before you can create a transfer, you must enable the BigQuery Data Transfer Service. To enable the BigQuery Data Transfer Service, you must be granted the Owner role for your project.
To enable the BigQuery Data Transfer Service:
Go to the classic BigQuery web UI.
Click Transfers.
Click Enable to grant permissions to the BigQuery Data Transfer Service. The first time you enable transfers in a project, you are required to grant permissions to the BigQuery Data Transfer Service. After permissions are granted, you are not prompted again.
Granting bigquery.admin
access
All users that will create transfers must be granted the bigquery.admin
predefined Cloud IAM role. The bigquery.admin
role includes the
following BigQuery Data Transfer Service permissions:
bigquery.transfers.update
bigquery.transfers.get
The bigquery.admin
role also includes the bigquery.datasets.update
permission. Thebigquery.datasets.update
permission is required to write data
to the transfer's destination dataset.
To grant the bigquery.admin
role:
Console
Open the Cloud IAM page in the Cloud Console
Click Select a project.
Select a project and click Open.
Click Add to add new members to the project and set their permissions.
In the Add members dialog:
- For Members, enter the email address of the user or group.
- In the Select a role drop-down, click BigQuery > BigQuery Admin.
Click Add.
CLI
You can use the gcloud command-line tool to grant a user or group the
bigquery.admin
role.
To add a single binding to your project's Cloud IAM policy, type
the following command. To add a user, supply the --member
flag in the
format user:user@example.com
. To add a group, supply the --member
flag
in the format group:group@example.com
.
gcloud projects add-iam-policy-binding project_id \ --member group/user:address \ --role roles/bigquery.admin
Where:
- project_id is your project ID.
- group/user is either
group
oruser
. - address is the user or group's email address.
For example:
gcloud projects add-iam-policy-binding myproject \
--member group:group@example.com \
--role roles/bigquery.admin
The command outputs the updated policy:
bindings: - members: - group:group@example.com role: roles/bigquery.admin
For more information on Cloud IAM roles in BigQuery, see Predefined roles and permissions.
Next steps
After enabling the BigQuery Data Transfer Service, create a transfer for your data source.
Google Software as a Service (SaaS) apps- Campaign Manager
- Cloud Storage (beta)
- Google Ad Manager
- Google Ads
- Google Merchant Center (beta)
- Google Play (beta)
- Search Ads 360 (beta)
- YouTube Channel reports
- YouTube Content Owner reports
- Amazon S3 (beta)
- Teradata (beta)
- Amazon Redshift (beta)