How to Query Google Cloud Storage Data in MySQL Workbench

You can use the SQL Gateway from the ODBC Driver for Google Cloud Storage to query Google Cloud Storage data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and work with live Google Cloud Storage data in MySQL Workbench.

Connect to Google Cloud Storage Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

Authenticate with a User Account

You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

Authenticate with a Service Account

Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

• InitiateOAuth: Set this to GETANDREFRESH.
• OAuthJWTCertType: Set this to "PFXFILE".
• OAuthJWTCert: Set this to the path to the .p12 file you generated.
• OAuthJWTCertPassword: Set this to the password of the .p12 file.
• OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
• OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
• OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
• ProjectId: Set this to the Id of the project you want to connect to.

The OAuth flow for a service account then completes.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Google Cloud Storage data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Query Google Cloud Storage from MySQL Workbench

The steps below outline connecting to the virtual Google Cloud Storage database created in the SQL Gateway from MySQL Workbench and issuing basic queries to work with live Google Cloud Storage data.

Connect to Google Cloud Storage through the SQL Gateway

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData SQL Gateway for Google Cloud Storage).
3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
4. Click Store in Vault to set and store the password.
5. Click Test Connection to ensure the connection is configured properly and click OK.

Query Google Cloud Storage Data

1. Open the connection you just created (CData SQL Gateway for Google Cloud Storage).
2. Click File -> New Query Tab.
3. Write a SQL query to retrieve Google Cloud Storage data, like SELECT * FROM `CData GoogleCloudStorage Sys`.Buckets;

With access to live Google Cloud Storage data from MySQL Workbench, you can easily query and update Google Cloud Storage, just like you would a MySQL database. Get started now with a free, 30-day trial of the CData ODBC Driver for Google Cloud Storage and the CData SQL Gateway.