Skip to main content
Redhat Developers  Logo
  • Products

    Platforms

    • Red Hat Enterprise Linux
      Red Hat Enterprise Linux Icon
    • Red Hat AI
      Red Hat AI
    • Red Hat OpenShift
      Openshift icon
    • Red Hat Ansible Automation Platform
      Ansible icon
    • View All Red Hat Products

    Featured

    • Red Hat build of OpenJDK
    • Red Hat Developer Hub
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat OpenShift Local
    • Red Hat Developer Sandbox

      Try Red Hat products and technologies without setup or configuration fees for 30 days with this shared Openshift and Kubernetes cluster.
    • Try at no cost
  • Technologies

    Featured

    • AI/ML
      AI/ML Icon
    • Linux
      Linux Icon
    • Kubernetes
      Cloud icon
    • Automation
      Automation Icon showing arrows moving in a circle around a gear
    • View All Technologies
    • Programming Languages & Frameworks

      • Java
      • Python
      • JavaScript
    • System Design & Architecture

      • Red Hat architecture and design patterns
      • Microservices
      • Event-Driven Architecture
      • Databases
    • Developer Productivity

      • Developer productivity
      • Developer Tools
      • GitOps
    • Automated Data Processing

      • AI/ML
      • Data Science
      • Apache Kafka on Kubernetes
    • Platform Engineering

      • DevOps
      • DevSecOps
      • Ansible automation for applications and services
    • Secure Development & Architectures

      • Security
      • Secure coding
  • Learn

    Featured

    • Kubernetes & Cloud Native
      Openshift icon
    • Linux
      Rhel icon
    • Automation
      Ansible cloud icon
    • AI/ML
      AI/ML Icon
    • View All Learning Resources

    E-Books

    • GitOps Cookbook
    • Podman in Action
    • Kubernetes Operators
    • The Path to GitOps
    • View All E-books

    Cheat Sheets

    • Linux Commands
    • Bash Commands
    • Git
    • systemd Commands
    • View All Cheat Sheets

    Documentation

    • Product Documentation
    • API Catalog
    • Legacy Documentation
  • Developer Sandbox

    Developer Sandbox

    • Access Red Hat’s products and technologies without setup or configuration, and start developing quicker than ever before with our new, no-cost sandbox environments.
    • Explore Developer Sandbox

    Featured Developer Sandbox activities

    • Get started with your Developer Sandbox
    • OpenShift virtualization and application modernization using the Developer Sandbox
    • Explore all Developer Sandbox activities

    Ready to start developing apps?

    • Try at no cost
  • Blog
  • Events
  • Videos

Jakarta EE: Creating an Enterprise JavaBeans timer

December 13, 2019
Rhuan Rocha
Related topics:
Java
Related products:
Red Hat build of OpenJDK

Share:

    Enterprise JavaBeans (EJB) has many interesting and useful features, some of which I will be highlighting in this and upcoming articles. In this article, I'll show you how to create an EJB timer programmatically and with annotation. Let's go!

    The EJB timer feature allows us to schedule tasks to be executed according a calendar configuration. It is very useful because we can execute scheduled tasks using the power of Jakarta context. When we run tasks based on a timer, we need to answer some questions about concurrency, which node the task was scheduled on (in case of an application in a cluster), what is the action if the task does not execute, and others. When we use the EJB timer we can delegate many of these concerns to Jakarta context and care more about business logic. It is interesting, isn't it?

    Creating an EJB timer programmatically

    We can schedule an EJB timer to runs according to a business logic using a programmatic approach. This method can be used when we want a dynamic behavior, according to the parameter values passed to the process. Let's look at an example of an EJB timer:

    import javax.annotation.Resource;
    import javax.ejb.SessionContext;
    import javax.ejb.Stateless;
    import javax.ejb.Timeout;
    import java.util.logging.Logger;
    
    @Stateless
    public class MyTimer {
    
        private Logger logger = Logger.getLogger(MyTimer.class.getName());
        @Resource
        private SessionContext context;
    
        public void initTimer(String message){
            context.getTimerService().createTimer(10000, message);
        }
    
        @Timeout
        public void execute(){
            logger.info("Starting");
    
            context.getTimerService().getAllTimers().stream().forEach(timer -> logger.info(String.valueOf(timer.getInfo())));
            
    
            logger.info("Ending");
        }    
    }
    
    

    To schedule this EJB timer, call this method:

    @Inject
    private MyTimer myTimer;
    ....
    myTimer.initTimer(message);

    After passing 10000 milliseconds, the method annotated with @Timeout will be called.

    Scheduling an EJB timer using annotation

    We can also create an EJB timer that is automatically scheduled to run according to an annotation configuration. Look at this example:

    @Singleton
    public class MyTimerAutomatic {
    
        private Logger logger = Logger.getLogger(MyTimerAutomatic.class.getName());
    
        @Schedule(hour = "*", minute = "*",second = "0,10,20,30,40,50",persistent = false)
        public void execute(){
    
            logger.info("Automatic timer executing");
    
        }
    }
    

    As you can see, to configure an automatic EJB timer schedule, you can annotate the method using @Schedule and configure the calendar attributes. For example:

    @Schedule(hour = "*", minute = "*",second = "0,10,20,30,40,50",persistent = false)

    As you can see, the method execute is configured to be called every 10 seconds. You can configure whether the timer is persistent as well.

    Conclusion

    EJB timer is a good EJB feature that is helpful in solving many problems. Using the EJB timer feature, we can schedule tasks to be executed, thereby delegating some responsibilities to Jakarta context to solve for us. Furthermore, we can create persistent timers, control the concurrent execution, and work with it in a clustered environment.  If you want to see the complete example, visit this repository on GitHub.

    Last updated: September 27, 2024

    Recent Posts

    • Customize RHEL CoreOS at scale: On-cluster image mode in OpenShift

    • How to set up KServe autoscaling for vLLM with KEDA

    • How I used Cursor AI to migrate a Bash test suite to Python

    • Install Python 3.13 on Red Hat Enterprise Linux from EPEL

    • Zero trust automation on AWS with Ansible and Terraform

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer Tools
    • Interactive Tutorials
    • API Catalog

    Quicklinks

    • Learning Resources
    • E-books
    • Cheat Sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site Status Dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2025 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Report a website issue