Replicate BigQuery Data to Multiple Databases

Always-on applications rely on automatic failover capabilities and real-time access to data. CData Sync integrates live BigQuery data into your mirrored databases, always-on cloud databases, and other databases such as your reporting server: Automatically synchronize with remote BigQuery data from Windows.

Configure Replication Destinations

Using CData Sync, you can replicate BigQuery data to any number of databases, both cloud-based and on-premises. To add a replication destination, navigate to the Connections tab.

For each destination database:

1. Click Add Connection.
2. Select a destination. In this article, we use SQLite.
3. Enter the necessary connection properties. To replicate BigQuery to a SQLite database, enter a file path in the Data Source box.
4. Click Test Connection to ensure that the connection is configured properly.
5. Click Save Changes.

Configure the BigQuery Connection

You can configure a connection to BigQuery from the Connections tab. To add a connection to your BigQuery account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (BigQuery).
3. Configure the connection properties.
   
   

   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.

4. Click Connect to ensure that the connection is configured properly.
5. Click Save Changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

You can use a SQL query to customize your replication. The REPLICATE statement is a high-level command that caches and maintains a table in your database. You can define any SELECT query supported by the BigQuery API. To customize your replication, click Add Custom Query in the Tables section and define the Query Statement.

The statement below caches and incrementally updates a table of BigQuery data:

REPLICATE Orders;

You can specify a file containing the replication queries you want to use to update a particular database. Separate replication statements with semicolons. The following options are useful if you are replicating multiple BigQuery accounts into the same database:

• Use a different table prefix in the REPLICATE SELECT statement:

  REPLICATE PROD_Orders SELECT * FROM Orders;

• Alternatively, use a different schema:

  REPLICATE PROD.Orders SELECT * FROM Orders;

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 10 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your BigQuery data to disparate on-premises, cloud-based, and other databases.