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Get the Report →Integrate with Jira Data using Apache Camel2
Create a simple Java app that uses Apache Camel routing and the CData JDBC Driver to copy Jira 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 Jira, you can write Java apps that use Camel routes that integrate with live Jira data. This article walks through creating an app in NetBeans that connects, queries, and routes Jira data to a JSON file.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Jira data. When you issue complex SQL queries to Jira, the driver pushes supported SQL operations, like filters and aggregations, directly to Jira 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 Jira data using native data types.
About Jira Data Integration
CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:
- Gain bi-directional access to their Jira objects like issues, projects, and workflows.
- Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
- Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.
Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.
Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.
Getting Started
Creating A New Maven/Java Project
Follow the steps below to create a new Java project and add the appropriate dependencies:
- Open NetBeans and create a new project.
- Select Maven from the categories list and Java Application from the projects list, then click Next.
- Name the project (and adjust any other properties) and click Finish.
- 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 Jira data from our App. If you have not already done so, install 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 Jira with Maven
- Download the CData JDBC Driver for Jira installer, unzip the package, and run the JAR file to install the driver.
- Use Maven to install the JDBC Driver as a connector.
mvn install:install-file -Dfile="C:\Program Files\CData[product_name] 2019\lib\cdata.jdbc.jira.jar" -DgroupId="org.cdata.connectors" -DartifactId="cdata-jira-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
Dependency | Group ID | Artifact ID | Version |
---|---|---|---|
camel-core | org.apache.camel | camel-core | 3.0.0 |
camel-jackson | org.apache.camel | camel-jackson | 3.0.0 |
camel-jdbc | org.apache.camel | camel-jdbc | 3.0.0 |
camel-jsonpath | org.apache.camel | camel-jsonpath | 3.0.0 |
cdata-jira-connector | org.cdata.connectors | cdata-salesforce-connector | 19 |
commons-dbcp2 | org.apache.commons | commons-dbcp2 | 2.7.0 |
slf4j-log4j12 | org.slf4j | slf4j-log4j12 | 1.7.30 |
log4j | org.apache.logging.log4j | log4j | 2.12.1 |
Accessing Jira 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 Jira 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 Jira 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).
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
BasicDataSource basic = new BasicDataSource(); basic.setDriverClassName("cdata.jdbc.jira.JIRADriver"); basic.setUrl("jdbc:jira:User=admin;Password=123abc;Url=https://yoursitename.atlassian.net;");
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 Jira JDBC Driver. Either double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.jira.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 Jira to a JSON file. Download a free, 30-day trial of the CData JDBC Driver for Jira and the sample project (make note of the TODO comments) and start working with your live Jira data in Apache Camel. Reach out to our Support Team if you have any questions.