How to Query BigQuery Data in MySQL Workbench

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

Getting Started

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Connect to BigQuery 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.

Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to BigQuery 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 BigQuery from MySQL Workbench

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

Connect to BigQuery through the SQL Gateway

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData SQL Gateway for BigQuery).
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.

NOTE: When we refer to Username and Password, we mean the credentials for the user(s) created for the SQL Gateway.

Query BigQuery Data

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

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