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Difficulty: beginner
Estimated Time: 20-30 minutes

In this self-paced tutorial you will learn how to build, deploy, and execute Java batch application using JBeret and WildFly for OpenShift.

Batch processing is typically bulk-oriented, non-interactive, background execution. It usually involves large volume of data or intensive computation. It is used across many industries to tackle tasks like data ETL (extract, transform and load), recurring account statement generation, periodic security scanning, financial portfolio analysis, etc.

The sample batch application demonstrates basic batch processing operations, such as

  • composing a job with both batchlet step and chunk step
  • chunked reading and writing with transaction checkpointing
  • start/restart/stop/abandon/schedule job executions
  • list job and step execution details and status

Before you get started

If you are not familiar with the OpenShift Container Platform, it's worth taking a few minutes to understand the basics of the platform as well as the environment that you will be using for this self paced tutorial. Head on over to Learning OpenShift - Getting Started.

About project JBeret

Project JBeret implements JSR 352 (Batch Applications for the Java Platform), and additional advanced batch processing features in both Java SE and Java EE environment. JBeret is included in WildFly and JBoss EAP to provide enterprise batch processing capability.

When using the OpenShift Container Platform there are various ways to deploy a batch application:

  • Deploy batch application from an existing Docker-formatted image.
  • Build application locally and push the build result into OpenShift using a Binary strategy with the Source-to-Image (S2I) builder.
  • Build and deploy from source code contained in a Git repository using a S2I builder.

For our introductory lesson we are going to use OpenShifts S2I repository builder to pull in, build and deploy a Java batch application to WildFly runtime. So let's get started!

Congratulations! You just finished learning how to deploy and run your own Java batch application on OpenShift. Pretty simple isn't it?

What's next?

Now you are probably interested in expanding your work with OpenShift in a less structured environment. You can start with setting up your own OpenShift environment if you haven't already or if you have maybe expanding on what you have learned to build your own Java EE batch applications. For hints and ideas of where to start next check out the resources below.

JBeret Resources:

OpenShift Development Tooling:

OpenShift S2I References:

Don’t stop now! The next scenario will only take about 10 minutes to complete.

Java EE Batch Processing with OpenShift, WildFly & JBeret

Step 1 of 6

Step 1 - Create an Initial Project

To get started, first we need to login to OpenShift.

To login to the OpenShift cluster use the following command in your Terminal:

oc login -u developer -p developer

This will log you in using the credentials:

  • Username: developer
  • Password: developer

You should see the output:

Login successful.

Now we need to create a Project space in OpenShift for our API.  In OpenShift we can create a new project by running

    oc new-project <projectname>

For out project let's create a project called jberet-lab by running the command:

oc new-project jberet-lab

You should see output similar to:

Now using project "jberet-lab" on server "https://172.17.0.41:8443".

You can add applications to this project with the 'new-app' command. For example, try:

    oc new-app centos/ruby-22-centos7~https://github.com/openshift/ruby-ex.git

to build a new example application in Ruby.

We are not going to use the web console for this course, but if you want to check anything from the web console, switch to the Dashboard and use the same credentials to login as you used above to login from the command line.