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Lightrun – Third Party Code
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Flakiness in REST requests is a common issue. A request can get a 200 OK in one scenario and a 409 next time. Sometimes a request can even succeed and fail intermittently on the same exact request. In short, working over HTTP can be a bit of a mess without solid tooling.

Also, while it’s easy enough to debug these issues locally when developing the application, we’re talking about production here - we can’t afford the downtime while you’re stepping in and out of code. Uptime is kind of the whole point.

With Lightrun, you can get the same level of access you get with a local debugger or profiler - no downtime required. You can add logs, metrics, and snapshots (think breakpoints, but without stopping the running service), in a safe and read-only manner - without redeploying, restarting, or even stopping the running service. Performance and security are maintained throughout the process.

Learn how to debug a live REST API (built with Spring, of course), using Lightrun, in this 5-minute tutorial:

>> Debugging REST Requests in Spring-Based applications using the Lightrun Platform

1. Overview

In this tutorial, we'll investigate and compare different ways to trigger and stop a scheduled Spring Batch job for any required business cases.

If you need introductions about Spring Batch and Scheduler, please refer to Spring-Batch and Spring-Scheduler articles.

2. Trigger a Scheduled Spring Batch Job

Firstly, we have a class SpringBatchScheduler to configure scheduling and batch job. A method launchJob() will be registered as a scheduled task.

Furtherly, to trigger the scheduled Spring Batch job in the most intuitive way, let's add a conditional flag to fire the job only when the flag is set to true:

private AtomicBoolean enabled = new AtomicBoolean(true);

private AtomicInteger batchRunCounter = new AtomicInteger(0);

@Scheduled(fixedRate = 2000)
public void launchJob() throws Exception {
    if (enabled.get()) {
        Date date = new Date();
        JobExecution jobExecution = jobLauncher()
          .run(job(), new JobParametersBuilder()
            .addDate("launchDate", date)

// stop, start functions (changing the flag of enabled)

The variable batchRunCounter will be used in integration tests to verify if the batch job has been stopped.

3. Stop a Scheduled Spring Batch Job

With above conditional flag, we're able to trigger the scheduled Spring Batch job with the scheduled task alive.

If we don't need to resume the job, then we can actually stop the scheduled task to save resources.

Let's take a look at two options in the next two subsections.

3.1. Using Scheduler Post Processor

Since we're scheduling a method by using @Scheduled annotation, a bean post processor ScheduledAnnotationBeanPostProcessor would've been registered first.

We can explicitly call the postProcessBeforeDestruction() to destroy the given scheduled bean:

public void stopJobSchedulerWhenSchedulerDestroyed() throws Exception {
    ScheduledAnnotationBeanPostProcessor bean = context
    SpringBatchScheduler schedulerBean = context
    await().untilAsserted(() -> Assert.assertEquals(
      schedulerBean, "SpringBatchScheduler");
    await().atLeast(3, SECONDS);


Considering multiple schedulers, it's better to keep one scheduler in its own class, so we can stop specific scheduler as needed.

3.2. Canceling the Scheduled Future

Another way to stop the scheduler would be manually canceling its Future.

Here's a custom task scheduler for capturing Future map:

public TaskScheduler poolScheduler() {
    return new CustomTaskScheduler();

private class CustomTaskScheduler 
  extends ThreadPoolTaskScheduler {


    public ScheduledFuture<?> scheduleAtFixedRate(
      Runnable task, long period) {
        ScheduledFuture<?> future = super
          .scheduleAtFixedRate(task, period);

        ScheduledMethodRunnable runnable = (ScheduledMethodRunnable) task;
        scheduledTasks.put(runnable.getTarget(), future);

        return future;

Then we iterate the Future map and cancel the Future for our batch job scheduler:

public void cancelFutureSchedulerTasks() {
    scheduledTasks.forEach((k, v) -> {
        if (k instanceof SpringBatchScheduler) {

In the cases with multiple scheduler tasks, then we can maintain the Future map inside of the custom scheduler pool but cancel the corresponding scheduled Future based on scheduler class.

4. Conclusion

In this quick article, we tried three different ways to trigger or stop a scheduled Spring Batch job.

When we need to restart the batch job, using a conditional flag to manage job running would be a flexible solution. Otherwise, we can follow the other two options to stop the scheduler completely.

As usual, all the code samples used in the article are available over on GitHub.

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