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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

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Partner – Microsoft – NPI EA (cat= Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, you can get started over on the documentation page.

And, you can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat=Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

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With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

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I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.

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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

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1. Introduction

A common problem with asynchronous systems is that it’s hard to write readable tests for them that are focused on business logic and are not polluted with synchronizations, timeouts, and concurrency control.

In this article, we are going to take a look at Awaitility — a library which provides a simple domain-specific language (DSL) for asynchronous systems testing.

With Awaitility, we can express our expectations from the system in an easy-to-read DSL.

2. Dependencies

We need to add Awaitility dependencies to our pom.xml.

The awaitility library will be sufficient for most use cases. In case we want to use proxy-based conditions, we also need to provide the awaitility-proxy library:

<dependency>
    <groupId>org.awaitility</groupId>
    <artifactId>awaitility</artifactId>
    <version>3.0.0</version>
    <scope>test</scope>
</dependency>
<dependency>
    <groupId>org.awaitility</groupId>
    <artifactId>awaitility-proxy</artifactId>
    <version>3.0.0</version>
    <scope>test</scope>
</dependency>

You can find the latest version of the awaitility and awaitility-proxy libraries on Maven Central.

3. Creating an Asynchronous Service

Let’s write a simple asynchronous service and test it:

public class AsyncService {
    private final int DELAY = 1000;
    private final int INIT_DELAY = 2000;

    private AtomicLong value = new AtomicLong(0);
    private Executor executor = Executors.newFixedThreadPool(4);
    private volatile boolean initialized = false;

    void initialize() {
        executor.execute(() -> {
            sleep(INIT_DELAY);
            initialized = true;
        });
    }

    boolean isInitialized() {
        return initialized;
    }

    void addValue(long val) {
        throwIfNotInitialized();
        executor.execute(() -> {
            sleep(DELAY);
            value.addAndGet(val);
        });
    }

    public long getValue() {
        throwIfNotInitialized();
        return value.longValue();
    }

    private void sleep(int delay) {
        try {
            Thread.sleep(delay);
        } catch (InterruptedException e) {
        }
    }

    private void throwIfNotInitialized() {
        if (!initialized) {
            throw new IllegalStateException("Service is not initialized");
        }
    }
}

4. Testing With Awaitility

Now, let’s create the test class:

public class AsyncServiceLongRunningManualTest {
    private AsyncService asyncService;

    @Before
    public void setUp() {
        asyncService = new AsyncService();
    }
    
    //...
}

Our test checks whether initialization of our service occurs within a specified timeout period (default 10s) after calling the initialize method.

This test case merely waits for the service initialization state to change or throws a ConditionTimeoutException if the state change does not occur.

The status is obtained by a Callable that polls our service at defined intervals (100ms default) after a specified initial delay (default 100ms). Here we are using the default settings for the timeout, interval, and delay:

asyncService.initialize();
await()
  .until(asyncService::isInitialized);

Here, we use await — one of the static methods of the Awaitility class. It returns an instance of a ConditionFactory class. We can also use other methods like given for the sake of increasing readability.

The default timing parameters can be changed using static methods from the Awaitility class:

Awaitility.setDefaultPollInterval(10, TimeUnit.MILLISECONDS);
Awaitility.setDefaultPollDelay(Duration.ZERO);
Awaitility.setDefaultTimeout(Duration.ONE_MINUTE);

Here we can see the use of the Duration class, which provides useful constants for the most frequently used time periods.

We can also provide custom timing values for each await call. Here we expect that initialization will occur at most after five seconds and at least after 100ms with polling intervals of 100ms:

asyncService.initialize();
await()
    .atLeast(Duration.ONE_HUNDRED_MILLISECONDS)
    .atMost(Duration.FIVE_SECONDS)
  .with()
    .pollInterval(Duration.ONE_HUNDRED_MILLISECONDS)
    .until(asyncService::isInitialized);

It’s worth mentioning that the ConditionFactory contains additional methods like with, then, and, given. These methods don’t do anything and just return this, but they could be useful to enhance the readability of test conditions.

5. Using Matchers

Awaitility also allows the use of hamcrest matchers to check the result of an expression. For example, we can check that our long value is changed as expected after calling the addValue method:

asyncService.initialize();
await()
  .until(asyncService::isInitialized);
long value = 5;
asyncService.addValue(value);
await()
  .until(asyncService::getValue, equalTo(value));

Note that in this example, we used the first await call to wait until the service is initialized. Otherwise, the getValue method would throw an IllegalStateException.

6. Ignoring Exceptions

Sometimes, we have a situation where a method throws an exception before an asynchronous job is done. In our service, it can be a call to the getValue method before the service is initialized.

Awaitility provides the possibility of ignoring this exception without failing a test.

For example, let’s check that the getValue result is equal to zero right after initialization, ignoring IllegalStateException:

asyncService.initialize();
given().ignoreException(IllegalStateException.class)
  .await().atMost(Duration.FIVE_SECONDS)
  .atLeast(Duration.FIVE_HUNDRED_MILLISECONDS)
  .until(asyncService::getValue, equalTo(0L));

7. Using Proxy

As described in section 2, we need to include awaitility-proxy to use proxy-based conditions. The idea of proxying is to provide real method calls for conditions without implementation of a Callable or lambda expression.

Let’s use the AwaitilityClassProxy.to static method to check that AsyncService is initialized:

asyncService.initialize();
await()
  .untilCall(to(asyncService).isInitialized(), equalTo(true));

8. Accessing Fields

Awaitility can even access private fields to perform assertions on them. In the following example, we can see another way to get the initialization status of our service:

asyncService.initialize();
await()
  .until(fieldIn(asyncService)
  .ofType(boolean.class)
  .andWithName("initialized"), equalTo(true));

9. Conclusion

In this quick tutorial, we introduced the Awaitility library, got acquainted with its basic DSL for the testing of asynchronous systems, and saw some advanced features which make the library flexible and easy to use in real projects.

The code backing this article is available on GitHub. Once you're logged in as a Baeldung Pro Member, start learning and coding on the project.
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

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Once the early-adopter seats are all used, the price will go up and stay at $33/year.

Partner – Microsoft – NPI EA (cat = Baeldung)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Microsoft – NPI EA (cat = Spring Boot)
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Azure Container Apps is a fully managed serverless container service that enables you to build and deploy modern, cloud-native Java applications and microservices at scale. It offers a simplified developer experience while providing the flexibility and portability of containers.

Of course, Azure Container Apps has really solid support for our ecosystem, from a number of build options, managed Java components, native metrics, dynamic logger, and quite a bit more.

To learn more about Java features on Azure Container Apps, visit the documentation page.

You can also ask questions and leave feedback on the Azure Container Apps GitHub page.

Partner – Orkes – NPI EA (cat = Spring)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

Partner – Orkes – NPI EA (tag = Microservices)
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Modern software architecture is often broken. Slow delivery leads to missed opportunities, innovation is stalled due to architectural complexities, and engineering resources are exceedingly expensive.

Orkes is the leading workflow orchestration platform built to enable teams to transform the way they develop, connect, and deploy applications, microservices, AI agents, and more.

With Orkes Conductor managed through Orkes Cloud, developers can focus on building mission critical applications without worrying about infrastructure maintenance to meet goals and, simply put, taking new products live faster and reducing total cost of ownership.

Try a 14-Day Free Trial of Orkes Conductor today.

eBook – HTTP Client – NPI EA (cat=HTTP Client-Side)
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The Apache HTTP Client is a very robust library, suitable for both simple and advanced use cases when testing HTTP endpoints. Check out our guide covering basic request and response handling, as well as security, cookies, timeouts, and more:

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eBook – Java Concurrency – NPI EA (cat=Java Concurrency)
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Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.

Get started with understanding multi-threaded applications with our Java Concurrency guide:

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eBook – Java Streams – NPI EA (cat=Java Streams)
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Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.

But these can also be overused and fall into some common pitfalls.

To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:

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eBook – Persistence – NPI EA (cat=Persistence)
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Partner – MongoDB – NPI EA (tag=MongoDB)
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Traditional keyword-based search methods rely on exact word matches, often leading to irrelevant results depending on the user's phrasing.

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Explore how to build an intelligent chatbot using MongoDB Atlas, Langchain4j and Spring Boot:

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