Create a Data Access Object for Google Analytics Data using JDBI



A brief overview of creating a SQL Object API for Google Analytics data in JDBI.

JDBI is a SQL convenience library for Java that exposes two different style APIs, a fluent style and a SQL object style. The CData JDBC Driver for Google Analytics integrates connectivity to live Google Analytics data in Java applications. By pairing these technologies, you gain simple, programmatic access to Google Analytics data. This article walks through building a basic Data Access Object (DAO) and the accompanying code to read Google Analytics data.

Create a DAO for the Google Analytics Traffic Entity

The interface below declares the desired behavior for the SQL object to create a single method for each SQL statement to be implemented.

public interface MyTrafficDAO { //request specific data from Google Analytics (String type is used for simplicity) @SqlQuery("SELECT Sessions FROM Traffic WHERE Transactions = :transactions") String findSessionsByTransactions(@Bind("transactions") String transactions); /* * close with no args is used to close the connection */ void close(); }

Open a Connection to Google Analytics

Collect the necessary connection properties and construct the appropriate JDBC URL for connecting to Google Analytics.

Google uses the OAuth authentication standard. To access Google APIs on behalf on 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, set Profile to the profile you want to connect to. This can be set to either the Id or website URL for the Profile. If not specified, the first Profile returned will be used.

Built-in Connection String Designer

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

java -jar cdata.jdbc.googleanalytics.jar

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

A connection string for Google Analytics will typically look like the following:

jdbc:googleanalytics:Profile=MyProfile;InitiateOAuth=GETANDREFRESH

Use the configured JDBC URL to obtain an instance of the DAO interface. The particular method shown below will open a handle bound to the instance, so the instance needs to be closed explicitly to release the handle and the bound JDBC connection.

DBI dbi = new DBI("jdbc:googleanalytics:Profile=MyProfile;InitiateOAuth=GETANDREFRESH"); MyTrafficDAO dao = dbi.open(MyTrafficDAO.class); //do stuff with the DAO dao.close();

Read Google Analytics Data

With the connection open to Google Analytics, simply call the previously defined method to retrieve data from the Traffic entity in Google Analytics.

//disply the result of our 'find' method String sessions = dao.findSessionsByTransactions("0"); System.out.println(sessions);

Since the JDBI library is able to work with JDBC connections, you can easily produce a SQL Object API for Google Analytics by integrating with the CData JDBC Driver for Google Analytics. Download a free trial and work with live Google Analytics data in custom Java applications today.

Ready to get started?

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

 Download Now

Learn more:

Google Analytics Icon Google Analytics JDBC Driver

An easy-to-use database-like interface for Java based applications and reporting tools access to live Google Analytics data (Traffic, Users, Referrals, Geo, Behaviors, and more).