Connect to BigQuery Data from a Connection Pool in Jetty



The BigQuery JDBC Driver supports connection pooling: This article shows how to connect faster to BigQuery data from Web apps in Jetty.

The CData JDBC driver for BigQuery is easy to integrate with Java Web applications. This article shows how to efficiently connect to BigQuery data in Jetty by configuring the driver for connection pooling. You will configure a JNDI resource for BigQuery in Jetty.

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

  • Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
  • Enhance data workflows with Bi-directional data access between BigQuery and other applications.
  • Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.

For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery


Getting Started


Configure the JDBC Driver for Salesforce as a JNDI Data Source

Follow the steps below to connect to Salesforce from Jetty.

  1. Enable the JNDI module for your Jetty base. The following command enables JNDI from the command-line:

    java -jar ../start.jar --add-to-startd=jndi
  2. Add the CData and license file, located in the lib subfolder of the installation directory, into the lib subfolder of the context path.
  3. Declare the resource and its scope. Enter the required connection properties in the resource declaration. This example declares the BigQuery data source at the level of the Web app, in WEB-INF\jetty-env.xml.

    <Configure id='bigquerydemo' class="org.eclipse.jetty.webapp.WebAppContext"> <New id="bigquerydemo" class="org.eclipse.jetty.plus.jndi.Resource"> <Arg><Ref refid="bigquerydemo"/></Arg> <Arg>jdbc/bigquerydb</Arg> <Arg> <New class="cdata.jdbc.googlebigquery.GoogleBigQueryDriver"> <Set name="url">jdbc:googlebigquery:</Set> <Set name="DataSetId">MyDataSetId</Set> <Set name="ProjectId">MyProjectId</Set> <Set name="InitiateOAuth">GETANDREFRESH</Set> </New> </Arg> </New> </Configure>

    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. Configure the resource in the Web.xml:

    jdbc/bigquerydb javax.sql.DataSource Container
  5. You can then access BigQuery with a lookup to java:comp/env/jdbc/bigquerydb: InitialContext ctx = new InitialContext(); DataSource mybigquery = (DataSource)ctx.lookup("java:comp/env/jdbc/bigquerydb");

More Jetty Integration

The steps above show how to configure the driver in a simple connection pooling scenario. For more use cases and information, see the Working with Jetty JNDI chapter in the Jetty documentation.

Ready to get started?

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