Expand Authors Top

If you have a few years of experience in the Java ecosystem and you’d like to share that with the community, have a look at our Contribution Guidelines.

Expanded Audience – Frontegg – Security (partner)
announcement - icon User management is very complex, when implemented properly. No surprise here.

Not having to roll all of that out manually, but instead integrating a mature, fully-fledged solution - yeah, that makes a lot of sense.
That's basically what Frontegg is - User Management for your application. It's focused on making your app scalable, secure and enjoyable for your users.
From signup to authentication, it supports simple scenarios all the way to complex and custom application logic.

Have a look:

>> Elegant User Management, Tailor-made for B2B SaaS

November Discount Launch 2022 – Top
We’re finally running a Black Friday launch. All Courses are 30% off until tomorrow:


NPI – Lightrun – Spring (partner)

We rely on other people’s code in our own work. Every day. It might be the language you’re writing in, the framework you’re building on, or some esoteric piece of software that does one thing so well you never found the need to implement it yourself.

The problem is, of course, when things fall apart in production - debugging the implementation of a 3rd party library you have no intimate knowledge of is, to say the least, tricky. It’s difficult to understand what talks to what and, specifically, which part of the underlying library is at fault.

Lightrun is a new kind of debugger.

It's one geared specifically towards real-life production environments. Using Lightrun, you can drill down into running applications, including 3rd party dependencies, with real-time logs, snapshots, and metrics. No hotfixes, redeployments, or restarts required.

Learn more in this quick, 5-minute Lightrun tutorial:

>> The Essential List of Spring Boot Annotations and Their Use Cases

1. Introduction

One of the available annotations in the Spring Framework is @Scheduled. We can use this annotation to execute tasks in a scheduled way.

In this tutorial, we'll explore how to test the @Scheduled annotation.

2. Dependencies

First, let's start creating a Spring Boot Maven-based application from the Spring Initializer:


We'll also need to use a couple of Spring Boot starters:


And, let's add the dependency for JUnit 5 to our pom.xml:


We can find the latest version of Spring Boot on Maven Central.

Additionally, to use Awaitility in our tests, we need to add its dependency:


3. Simple @Scheduled Sample

Let's start by creating a simple Counter class:

public class Counter {
    private AtomicInteger count = new AtomicInteger(0);

    @Scheduled(fixedDelay = 5)
    public void scheduled() {

    public int getInvocationCount() {
        return this.count.get();

We'll use the scheduled method to increase our count. Note that we've also added the @Scheduled annotation to execute it in a fixed period of five milliseconds.

Also, let's create a ScheduledConfig class to enable scheduled tasks using the @EnableScheduling annotation:

public class ScheduledConfig {

4. Using Integration Testing

One of the alternatives to test our class is using integration testing. To do that, we need to use the @SpringJUnitConfig annotation to start the application context and our beans in the testing environment:

public class ScheduledIntegrationTest {

    Counter counter;

    public void givenSleepBy100ms_whenGetInvocationCount_thenIsGreaterThanZero() 
      throws InterruptedException {


In this case, we start our Counter bean and wait for 100 milliseconds to check the invocation count.

5. Using Awaitility

Another approach to testing scheduled tasks is using Awaitility. We can use the Awaitility DSL to make our test more declarative:

public class ScheduledAwaitilityIntegrationTest {

    private Counter counter;

    public void whenWaitOneSecond_thenScheduledIsCalledAtLeastTenTimes() {
          .untilAsserted(() -> verify(counter, atLeast(10)).scheduled());

In this case, we inject our bean with the @SpyBean annotation to check the number of times that the scheduled method is called in the period of one second.

6. Conclusion

In this tutorial, we showed some approaches to test scheduled tasks using integration testing and the Awaitility library.

We need to take into account that, although integration tests are good, it's generally better to focus on the unit testing of the logic inside the scheduled method.

As usual, all the code samples shown in this tutorial are available over on GitHub.

November Discount Launch 2022 – Bottom
We’re finally running a Black Friday launch. All Courses are 30% off until tomorrow:


Junit footer banner
Inline Feedbacks
View all comments
Comments are closed on this article!