Getting Started with BigQuery JDBC Driver

Working with the new Google BigQuery JDBC Driver is easy. As a 100% pure Java JDBC Driver, the Google BigQuery Driver integrates seamlessly with popular IDEs like Eclipse, IntelliJ and NetBeans, as well as any Java/J2EE application.

Eclipse Integration - Data Explorer

As a JDBC Driver, Google BigQuery JDBC Driver can be used to access and explore BigQuery data directly from the Data Source Explorers included in popular java IDEs.

Enterprise-Class Remoting

MySQL/SQL Database entry points for Google BigQuery Data

The CData JDBC drivers include powerful fully-integrated remoting capabilities that makes Google BigQuery data accessible from virtually anywhere. The drivers include the optional ability to accept incoming SQL and MySQL client connections and service standard database requests.

With the CData JDBC drivers, users can interact with Google BigQuery data from any client that supports SQL Server or MySQL: from web & mobile applications, to CRM and CMS systems, BI tools like SQL Server Analysis Services, and even through popular management applications like MySQL Workbench.

• Access Google BigQuery data from virtually any application that can access external data. Applications that can access SQL Server or MySQL data can now connect to Google BigQuery with this driver.
• Connect Google BigQuery data with popular BI tools like SQL Server Analysis Services.
• Enable enterprise Google BigQuery data integration through SQL Linked Server connectivity
• Includes support for the MySQL and SQL (TDS) remote access protocols - industry standards for remote database connectivity.
• Offers advanced wire-protocol SSL security for remote connectivity

Enterprise-class JDBC Connectivity

The Google BigQuery JDBC Driver offers the most natural way to access BigQuery data from any Java/J2EE application. Simply use the Google BigQuery Driver to connect and access data just as you would access any traditional database. The driver is completely self-contained - no additional software installation is required!

BigQuery Integration

The Google BigQuery Driver has the same JDBC architecture as the JDBC drivers for MySQL and OLEDB, including Connection, Statement and ResultSet objects. Because of this you can now access BigQuery data in an easy, familiar way. You can use the Google BigQuery Driver through popular IDEs (Eclipse, IntelliJ, NetBeans, etc.), in code through familiar classes, and in data controls available through Swing, Eclipse SWT Widgets, etc.

For example:

Connection conn =
	DriverManager.getConnection("jdbc:bigquery:user=myuseraccount;password=mypassword;");

boolean ret = stat.execute("SELECT * FROM Dataset");
ResultSet rs=stat.getResultSet();
while(rs.next()){
  for(int i=1;i<=rs.getMetaData().getColumnCount();i++)
  {
    System.out.println(rs.getMetaData().getColumnName(i) +"="+rs.getString(i));
  }
}

More Than Read-Only: Full Update/CRUD Support

Google BigQuery Driver goes beyond read-only functionality to deliver full support for Create, Read Update, and Delete operations (CRUD). Your end-users can interact with the data presented by the Google BigQuery Driver as easily as interacting with a database table.

Connection conn =
	DriverManager.getConnection("jdbc:bigquery:user=myuseraccount;password=mypassword;");

String query = "UPDATE Dataset SET Where= ...";

PreparedStatement pstmt = conn.prepareStatement(query);
pstmt.setString(1, "Location");
pstmt.setString(2, "UID");
pstmt.execute();
int count=pstmt.getUpdateCount();