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Create a simple JRuby app with access to live Pipedrive data.
JRuby is a high-performance, stable, fully threaded Java implementation of the Ruby programming language. The CData JDBC Driver for Pipedrive makes it easy to integrate connectivity to live Pipedrive data in JRuby. This article shows how to create a simple JRuby app that connects to Pipedrive data, executes a query, and displays the results.
Configure a JDBC Connection to Pipedrive 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 Pipedrive\lib).
JRuby natively supports JDBC, so you can easily connect to Pipedrive and execute SQL queries. Initialize the JDBC connection with the getConnection function of the java.sql.DriverManager class.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Pipedrive JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.pipedrive.jar
Fill in the connection properties and copy the connection string to the clipboard.

Below is a typical JDBC connection string for Pipedrive:
jdbc:pipedrive:AuthScheme=Basic;CompanyDomain=MyCompanyDomain;APIToken=MyAPIToken;
Create a JRuby App with Connectivity to Pipedrive Data
Create a new Ruby file (for example: PipedriveSelect.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 Pipedrive 2018/lib/cdata.jdbc.pipedrive.jar'
url = "jdbc:pipedrive:AuthScheme=Basic;CompanyDomain=MyCompanyDomain;APIToken=MyAPIToken;"
conn = java.sql.DriverManager.getConnection(url)
stmt = conn.createStatement
rs = stmt.executeQuery("SELECT PersonName, UserEmail FROM Deals")
while (rs.next) do
puts rs.getString(1) + ' ' + rs.getString(2)
end
With the file completed, you are ready to display your Pipedrive data with JRuby. To do so, simply run your file from the command line:
jruby -S PipedriveSelect.rb
Writing SQL-92 queries to Pipedrive allows you to quickly and easily incorporate Pipedrive data into your own JRuby applications. Download a free trial today!