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Integrate with Sage US Data using Apache Camel

Create a simple Java app that uses Apache Camel routing and the CData JDBC Driver to copy Sage US data to a JSON file on disk.

Apache Camel is an open source integration framework that allows you to integrate various systems consuming or producing data. When paired with the CData JDBC Driver for Sage US, you can write Java apps that use Camel routes that integrate with live Sage US data. This article walks through creating an app in NetBeans that connects, queries, and routes Sage US data to a JSON file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Sage US data. When you issue complex SQL queries to Sage US, the driver pushes supported SQL operations, like filters and aggregations, directly to Sage US and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Sage US data using native data types.

Creating A New Maven/Java Project

Follow the steps below to create a new Java project and add the appropriate dependencies:

  1. Open NetBeans and create a new project.
  2. Select Maven from the categories list and Java Application from the projects list, then click Next.
  3. Name the project (and adjust any other properties) and click Finish.
  4. In the source package, create a new Java class (we used App.java for this article) and add the main method to the class.

Adding Project Dependencies

With the project created, we can start adding the dependencies needed to work with live Sage US data from our App. If you have not already done so, intall Maven in your environment, as it is required to add the JAR file for the CData JDBC Driver to your project.

Installing the CData JDBC Driver for Sage US with Maven

  1. Download the CData JDBC Driver for Sage US installer, unzip the package, and run the JAR file to install the driver.
  2. Use Maven to install the JDBC Driver as a connector.
    mvn install:install-file 
    	-Dfile="C:\Program Files\CData\CData JDBC Driver for Sage US 2019\lib\cdata.jdbc.sage50us.jar" 
    	-DgroupId="org.cdata.connectors" 
    	-DartifactId="cdata-sage50us-connector" 
    	-Dversion="19" 
    	-Dpackaging=jar
    

Once the JDBC Driver is installed, we can add dependencies to our project. To add a dependency, you can either edit the pom.xml file or right-click the dependencies folder and click Add Dependency. The properties for each dependency follow, but you can search through the available libraries by typing the name of the dependency in the Query box in the Add Dependency wizard.

Required Dependencies

DependencyGroup IDArtifact IDVersion
camel-coreorg.apache.camelcamel-core3.0.0
camel-jacksonorg.apache.camelcamel-jackson3.0.0
camel-jdbcorg.apache.camelcamel-jdbc3.0.0
camel-jsonpathorg.apache.camelcamel-jsonpath3.0.0
cdata-sage50us-connectororg.cdata.connectorscdata-salesforce-connector19
commons-dbcp2org.apache.commonscommons-dbcp22.7.0
slf4j-log4j12org.slf4jslf4j-log4j121.7.30
log4jorg.apache.logging.log4jlog4j2.12.1

Accessing Sage US Data in Java Apps with Camel

After adding the required dependencies, we can use the Java DSL (Domain Specific Language) to create routes with access to live Sage US data. Code snippets follow. Download the sample project (zip file) to follow along (make note of the TODO comments).

Start by importing the necessary classes into our main class.

import org.apache.camel.CamelContext;
import org.apache.camel.builder.RouteBuilder;
import org.apache.camel.impl.DefaultCamelContext;
import org.apache.camel.support.SimpleRegistry;
import org.apache.commons.dbcp2.BasicDataSource;
import org.apache.log4j.BasicConfigurator;

Then in the main method, we configure logging, create a new BasicDataSource and add it to the registry, create a new CamelContext, and finally add a route to the context. In this sample, we route Sage US data to a JSON file.

Configure Logging

BasicConfigurator.configure();

Create a BasicDataSource

Create a BasicDataSource and set the driver class name (cdata.jdbc.salesforce.SalesforceDriver) and URL (using the required connection properties).

The Application Id and Company Name connection string options are required to connect to Sage as a data source. You can obtain an Application Id by contacting Sage directly to request access to the Sage 50 SDK.

Sage must be installed on the machine. The Sage.Peachtree.API.dll and Sage.Peachtree.API.Resolver.dll assemblies are required. These assemblies are installed with Sage in C:\Program Files\Sage\Peachtree\API\. Additionally, the Sage SDK requires .NET Framework 4.0 and is only compatible with 32-bit applications. To use the Sage SDK in Visual Studio, set the Platform Target property to "x86" in Project -> Properties -> Build.

You must authorize the application to access company data: To authorize your application to access Sage, restart the Sage application, open the company you want to access, and connect with your application. You will then be prompted to set access permissions for the application in the resulting dialog.

While the compiled executable will require authorization only once, during development you may need to follow this process to reauthorize a new build. To avoid restarting the Sage application when developing with Visual Studio, click Build -> Configuration Manager and uncheck "Build" for your project.

BasicDataSource basic = new BasicDataSource();
basic.setDriverClassName("cdata.jdbc.sage50us.Sage50USDriver");
basic.setUrl("jdbc:sage50us:ApplicationId=8dfafu4V4ODmh1fM0xx;CompanyName=Bellwether Garden Supply - Premium;");

The CData JDBC Driver includes a built-in connection string designer to help you configure the connection URL.

Built-in Connection String Designer

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

java -jar cdata.jdbc.sage50us.jar

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

Add the BasicDataSource to the Registry and Create a CamelContext

SimpleRegistry reg = new SimpleRegistry();
reg.bind("myDataSource", basic);

CamelContext context = new DefaultCamelContext(reg);

Add Routing to the CamelContext

The routing below uses a timer component to run one time and passes a SQL query to the JDBC Driver. The results are marshaled as JSON (and formatted for pretty print) and passed to a file component to write to disk as a JSON file.

context.addRoutes(new RouteBuilder() {
	@Override
	public void configure() {
		from("timer://foo?repeatCount=1")
			.setBody(constant("SELECT * FROM Account LIMIT 10"))
			.to("jdbc:myDataSource")
			.marshal().json(true)
			.to("file:C:\\Users\\USER\\Documents?fileName=account.json");
	}
});

Managing the CamelContext Lifecycle

With the route defined, start the CamelContext to begin the lifecycle. In this example, we wait 10 seconds and then shut down the context.

context.start();
Thread.sleep(10000);
context.stop();

Free Trial, Sample Project & Technical Support

Now, you have a working Java application that uses Camel to route data from Sage US to a JSON file. Download a free, 30-day trial of the CData JDBC Driver for Sage US and the sample project (make note of the TODO comments) and start working with your live Sage US data in Apache Camel. Reach out to our Support Team if you have any questions.