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eclipse-ee4j / cargotracker

The project demonstrates how you can develop applications with Jakarta EE using widely adopted architectural best practices like Domain-Driven Design (DDD).
https://eclipse-ee4j.github.io/cargotracker/
MIT License
347 stars 143 forks source link
ddd domain-driven-design jakartaee java javaee

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Eclipse Cargo Tracker - Applied Domain-Driven Design Blueprints for Jakarta EE

The project demonstrates how you can develop applications with Jakarta EE using widely adopted architectural best practices like Domain-Driven Design (DDD). The project is based on the well-known Java DDD sample application developed by DDD pioneer Eric Evans' company Domain Language and the Swedish software consulting company Citerus. The cargo example actually comes from Eric Evans' seminal book on DDD.

The application is an end-to-end system for keeping track of shipping cargo. It has several interfaces described in the following sections.

For further details on the project, please visit: https://eclipse-ee4j.github.io/cargotracker/.

A slide deck introducing the fundamentals of the project is available on the official Eclipse Foundation Jakarta EE SlideShare account. A recording of the slide deck is available on the official Jakarta EE YouTube account.

Eclipse Cargo Tracker cover

Getting Started

The project website has detailed information on how to get started.

The simplest steps are the following (no IDE required):

This will run the application with Payara Server by default. The project also has Maven profiles to support GlassFish and Open Liberty. For example you can run using GlassFish using the following command: 

mvn clean package -Pglassfish cargo:run

Similarly you can run using Open Liberty using the following command:

mvn clean package -Popenliberty liberty:run

To set up in Visual Studio Code, follow these steps:

You can similarly use GlassFish or Open Liberty in Visual Studio Code.

Exploring the Application

After the application runs, it will be available at: http://localhost:8080/cargo-tracker/. Under the hood, the application uses a number of Jakarta EE features including Faces, CDI, Enterprise Beans, Persistence, REST, Batch, JSON Binding, Bean Validation and Messaging.

There are several web interfaces, REST interfaces and a file system scanning interface. It's probably best to start exploring the interfaces in the rough order below.

The tracking interface let's you track the status of cargo and is intended for the general public. Try entering a tracking ID like ABC123 (the application is pre-populated with some sample data).

The administrative interface is intended for the shipping company that manages cargo. The landing page of the interface is a dashboard providing an overall view of registered cargo. You can book cargo using the booking interface. Once cargo is booked, you can route it. When you initiate a routing request, the system will determine routes that might work for the cargo. Once you select a route, the cargo will be ready to process handling events at the port. You can also change the destination for cargo if needed or track cargo.

The Handling Event Logging interface is intended for port personnel registering what happened to cargo. The interface is primarily intended for mobile devices, but you can use it via a desktop browser. The interface is accessible at this URL: http://localhost:8080/cargo-tracker/event-logger/index.xhtml. For convenience, you could use a mobile emulator instead of an actual mobile device. Generally speaking cargo goes through these events:

While filling out the event registration form, it's best to have the itinerary handy. You can access the itinerary for registered cargo via the admin interface. The cargo handling is done via Messaging for scalability. While using the event logger, note that only the load and unload events require as associated voyage.

You should also explore the file system based bulk event registration interface. It reads files under /tmp/uploads. The files are just CSV files. A sample CSV file is available under src/test/sample/handling_events.csv. The sample is already set up to match the remaining itinerary events for cargo ABC123. Just make sure to update the times in the first column of the sample CSV file to match the itinerary as well.

Sucessfully processed entries are archived under /tmp/archive. Any failed records are archived under /tmp/failed.

Don't worry about making mistakes. The application is intended to be fairly error tolerant. If you do come across issues, you should report them.

You can simply remove ./cargo-tracker-data from the file system to restart fresh. This directory will typically be under $your-payara-installation/glassfish/domains/domain1/config.

You can also use the soapUI scripts included in the source code to explore the REST interfaces as well as the numerous unit tests covering the code base generally. Some of the tests use Arquillian.

Exploring the Code

As mentioned earlier, the real point of the application is demonstrating how to create well architected, effective Jakarta EE applications. To that end, once you have gotten some familiarity with the application functionality the next thing to do is to dig right into the code.

DDD is a key aspect of the architecture, so it's important to get at least a working understanding of DDD. As the name implies, Domain-Driven Design is an approach to software design and development that focuses on the core domain and domain logic.

For the most part, it's fine if you are new to Jakarta EE. As long as you have a basic understanding of server-side applications, the code should be good enough to get started. For learning Jakarta EE further, we have recommended a few links in the resources section of the project site. Of course, the ideal user of the project is someone who has a basic working understanding of both Jakarta EE and DDD. Though it's not our goal to become a kitchen sink example for demonstrating the vast amount of APIs and features in Jakarta EE, we do use a very representative set. You'll find that you'll learn a fair amount by simply digging into the code to see how things are implemented.

Cloud Demo

Cargo Tracker is deployed to Kubernetes on the cloud using GitHub Actions workflows. You can find the demo deployment on the Scaleforce cloud (https://cargo-tracker.j.scaleforce.net). This project is very thankful to our sponsors Jelastic and Scaleforce for hosting the demo! The deployment and all data is refreshed nightly. On the cloud Cargo Tracker uses PostgreSQL as the database. The GitHub Container Registry is used to publish Docker images.

Jakarta EE 8

A Jakarta EE 8, Java SE 8, Payara 5 version of Cargo Tracker is available under the 'jakartaee8' branch.

Java EE 7

A Java EE 7, Java SE 8, Payara 4.1 version of Cargo Tracker is available under the 'javaee7' branch.

Contributing

This project complies with the Google Style Guides for Java, JavaScript, and HTML/CSS. You can use the google-java-format tool to help you comply with the Google Java Style Guide. You can use the tool with most major IDEs such as Eclipse, Visual Studio Code, and IntelliJ.

In general for all files we use a column/line width of 80 whenever possible and we use 2 spaces for indentation. All files must end with a new line. Please adjust the formatting settings of your IDE accordingly. You are encouraged but not required to use HTML Tidy and CSS Tidy to help format your code.

For further guidance on contributing including the project roadmap, please look here.

Known Issues