Learn more
 

Connect to BigQuery Data in JRuby


Create a simple JRuby app with access to live BigQuery data.

JRuby is a high-performance, stable, fully threaded Java implementation of the Ruby programming language. The CData JDBC Driver for BigQuery makes it easy to integrate connectivity to live BigQuery data in JRuby. This article shows how to create a simple JRuby app that connects to BigQuery data, executes a query, and displays the results.

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 a JDBC Connection to BigQuery Data

Before creating the app, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for BigQuery\lib).

JRuby natively supports JDBC, so you can easily connect to BigQuery and execute SQL queries. Initialize the JDBC connection with the getConnection function of the java.sql.DriverManager class.

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.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the BigQuery JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.googlebigquery.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a typical JDBC connection string for BigQuery:

jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH

Create a JRuby App with Connectivity to BigQuery Data

Create a new Ruby file (for example: GoogleBigQuerySelect.rb) and open it in a text editor. Copy the following code into your file:

require 'java' require 'rubygems' require 'C:/Program Files/CData/CData JDBC Driver for BigQuery 2018/lib/cdata.jdbc.googlebigquery.jar' url = "jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH" conn = java.sql.DriverManager.getConnection(url) stmt = conn.createStatement rs = stmt.executeQuery("SELECT OrderName, Freight FROM Orders") while (rs.next) do puts rs.getString(1) + ' ' + rs.getString(2) end

With the file completed, you are ready to display your BigQuery data with JRuby. To do so, simply run your file from the command line:

jruby -S GoogleBigQuerySelect.rb

Writing SQL-92 queries to BigQuery allows you to quickly and easily incorporate BigQuery data into your own JRuby applications. Download a free trial today!

Ready to get started?

Download a free trial of the Google BigQuery Driver to get started:

 Download Now

Learn more:

Google BigQuery Icon Google BigQuery JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Google BigQuery data including Tables and Datasets.

In this article

Related articles