Query BigQuery Data in MySQL Workbench

MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Server), you get live access to BigQuery data as if it were a MySQL database. This article shows how to create a virtual database for BigQuery in Connect and work with live BigQuery data in MySQL Workbench.

Getting Started

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Create a Virtual MySQL Database for BigQuery Data

CData Connect uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect and click Connections.
2. Select "BigQuery" from Available Data Sources.
3. BigQuery uses OAuth to authenticate. Click Connect to authenticate with BigQuery.
4. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to BigQuery from MySQL Workbench.

Query BigQuery from MySQL Workbench

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

Connect to BigQuery through Connect

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData Connect).
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 BigQuery Data

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

With access to live BigQuery data from MySQL Workbench, you can easily query and update BigQuery, just like you would a MySQL database. Request a demo of the CData Connect and start working with BigQuery just like a MySQL database today.