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, 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.

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 – Guide Spring Cloud – NPI EA (cat=Spring Cloud)
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Let's get started with a Microservice Architecture with Spring Cloud:

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eBook – Mockito – NPI EA (tag = Mockito)
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Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.

Get started with mocking and improve your application tests using our Mockito guide:

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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 – Reactive – NPI EA (cat=Reactive)
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Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:

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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 – Jackson – NPI EA (cat=Jackson)
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Do JSON right with Jackson

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eBook – HTTP Client – NPI EA (cat=Http Client-Side)
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Get the most out of the Apache HTTP Client

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eBook – Maven – NPI EA (cat = Maven)
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eBook – Persistence – NPI EA (cat=Persistence)
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eBook – RwS – NPI EA (cat=Spring MVC)
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Building a REST API with Spring?

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Course – LS – NPI EA (cat=Jackson)
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Get started with Spring and Spring Boot, through the Learn Spring course:

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Course – RWSB – NPI EA (cat=REST)
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Explore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:

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Course – LSS – NPI EA (cat=Spring Security)
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Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

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.

You can explore the course here:

>> Learn Spring Security

Course – LSD – NPI EA (tag=Spring Data JPA)
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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

Get started with Spring Data JPA through the guided reference course:

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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.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

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

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Partner – LambdaTest – NPI EA (cat=Testing)
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Accessibility testing is a crucial aspect to ensure that your application is usable for everyone and meets accessibility standards that are required in many countries.

By automating these tests, teams can quickly detect issues related to screen reader compatibility, keyboard navigation, color contrast, and other aspects that could pose a barrier to using the software effectively for people with disabilities.

Learn how to automate accessibility testing with Selenium and the LambdaTest cloud-based testing platform that lets developers and testers perform accessibility automation on over 3000+ real environments:

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eBook – Java Concurrency – NPI (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:

>> Download the eBook

1. Overview

Java provides certain APIs for internal use and discourages unnecessary use in other cases. The JVM developers gave the packages and classes names such as Unsafe, which should warn developers.  However, often, it doesn’t stop developers from using these classes.

In this tutorial, we’ll learn why Unsafe.park() is actually unsafe. The goal isn’t to scare but to educate and provide a better insight into the interworking of the park() and unpark(Thread) methods.

2. Unsafe

The Unsafe class contains a low-level API that aims to be used only with internal libraries. However, sun.misc.Unsafe is still accessible even after the introduction of JPMS. This was done to maintain backward compatibility and support all the libraries and frameworks that might use this API. In more detail, the reasons are explained in JEP 260,

In this article, we won’t use Unsafe directly but rather the LockSupport class from the java.util.concurrent.locks package that wraps calls to Unsafe:

public static void park() {
    UNSAFE.park(false, 0L);
}

public static void unpark(Thread thread) {
    if (thread != null)
        UNSAFE.unpark(thread);
}

3. park() vs. wait()

The park() and unpark(Thread) functionality are similar to wait() and notify(). Let’s review their differences and understand the danger of using the first instead of the second.

3.1. Lack of Monitors

Unlike wait() and notify(), park() and unpark(Thread) don’t require a monitor. Any code that can get a reference to the parked thread can unpark it. This might be useful in low-level code but can introduce additional complexity and hard-to-debug problems. 

Monitors are designed in Java so that a thread cannot use it if it hasn’t acquired it in the first place. This is done to prevent race conditions and simplify the synchronization process. Let’s try to notify a thread without acquiring it’s monitor:

@Test
@Timeout(3)
void giveThreadWhenNotifyWithoutAcquiringMonitorThrowsException() {
    Thread thread = new Thread() {
        @Override
        public void run() {
            synchronized (this) {
                try {
                    this.wait();
                } catch (InterruptedException e) {
                    // The thread was interrupted
                }
            }
        }
    };

    assertThrows(IllegalMonitorStateException.class, () -> {
        thread.start();
        Thread.sleep(TimeUnit.SECONDS.toMillis(1));
        thread.notify();
        thread.join();
    });
}

Trying to notify a thread without acquiring a monitor results in IllegalMonitorStateException. This mechanism enforces better coding standards and prevents possible hard-to-debug problems.

Now, let’s check the behavior of park() and unpark(Thread):

@Test
@Timeout(3)
void giveThreadWhenUnparkWithoutAcquiringMonitor() {
    Thread thread = new Thread(LockSupport::park);
    assertTimeoutPreemptively(Duration.of(2, ChronoUnit.SECONDS), () -> {
        thread.start();
        LockSupport.unpark(thread);
    });
}

We can control threads with little work. The only thing required is the reference to the thread. This provides us with more power over locking, but at the same time, it exposes us to many more problems.

It’s clear why park() and unpark(Thread) might be helpful for low-level code, but we should avoid this in our usual application code because it might introduce too much complexity and unclear code.

3.2. Information About the Context

The fact that no monitors are involved also might reduce the information about the context. In other words, the thread is parked, and it’s unclear why, when, and if other threads are parked for the same reason. Let’s run two threads:

public class ThreadMonitorInfo {
    private static final Object MONITOR = new Object();
    public static void main(String[] args) throws InterruptedException {
        Thread waitingThread = new Thread(() -> {
            try {
                synchronized (MONITOR) {
                    MONITOR.wait();
                }
            } catch (InterruptedException e) {
                throw new RuntimeException(e);
            }
        }, "Waiting Thread");
        Thread parkedThread = new Thread(LockSupport::park, "Parked Thread");

        waitingThread.start();
        parkedThread.start();

        waitingThread.join();
        parkedThread.join();
    }
}

Let’s check the thread dump using jstack:

"Parked Thread" #12 prio=5 os_prio=31 tid=0x000000013b9c5000 nid=0x5803 waiting on condition [0x000000016e2ee000]
   java.lang.Thread.State: WAITING (parking)
        at sun.misc.Unsafe.park(Native Method)
        at java.util.concurrent.locks.LockSupport.park(LockSupport.java:304)
        at com.baeldung.park.ThreadMonitorInfo$$Lambda$2/284720968.run(Unknown Source)
        at java.lang.Thread.run(Thread.java:750)

"Waiting Thread" #11 prio=5 os_prio=31 tid=0x000000013b9c4000 nid=0xa903 in Object.wait() [0x000000016e0e2000]
   java.lang.Thread.State: WAITING (on object monitor)
        at java.lang.Object.wait(Native Method)
        - waiting on <0x00000007401811d8> (a java.lang.Object)
        at java.lang.Object.wait(Object.java:502)
        at com.baeldung.park.ThreadMonitorInfo.lambda$main$0(ThreadMonitorInfo.java:12)
        - locked <0x00000007401811d8> (a java.lang.Object)
        at com.baeldung.park.ThreadMonitorInfo$$Lambda$1/1595428806.run(Unknown Source)
        at java.lang.Thread.run(Thread.java:750)

While analyzing the thread dump, it’s clear that the parked thread contains less information. Thus, it might create a situation when a certain thread problem, even with a thread dump, would be hard to debug.

An additional benefit of using specific concurrent structures or specific locks would provide even more context in the thread dumps, giving more information about the application state. Many JVM concurrent mechanisms are using park() internally. However, if a thread dump explains that the thread is waiting, for example, on a CyclicBarrier, it’s waiting for other threads.

3.3. Interrupted Flag

Another interesting thing is the difference in handling interrupts. Let’s review the behavior of a waiting thread:

@Test
@Timeout(3)
void givenWaitingThreadWhenNotInterruptedShouldNotHaveInterruptedFlag() throws InterruptedException {

    Thread thread = new Thread() {
        @Override
        public void run() {
            synchronized (this) {
                try {
                    this.wait();
                } catch (InterruptedException e) {
                    // The thread was interrupted
                }
            }
        }
    };

    thread.start();
    Thread.sleep(TimeUnit.SECONDS.toMillis(1));
    thread.interrupt();
    thread.join();
    assertFalse(thread.isInterrupted(), "The thread shouldn't have the interrupted flag");
}

If we’re interrupting a thread from its waiting state, the wait() method would immediately throw an InterruptedException and clear the interrupted flag. That’s why the best practice is to use while loops checking the waiting conditions instead of the interrupted flag.

In contrast, a parked thread isn’t interrupted immediately and rather does it on its terms. Also, the interrupt doesn’t cause an exception, and the thread just returns from the park() method. Subsequently, the interrupted flag isn’t reset, as happens while interrupting a waiting thread:

@Test
@Timeout(3)
void givenParkedThreadWhenInterruptedShouldNotResetInterruptedFlag() throws InterruptedException {
    Thread thread = new Thread(LockSupport::park);
    thread.start();
    thread.interrupt();
    assertTrue(thread.isInterrupted(), "The thread should have the interrupted flag");
    thread.join();
}

Not accounting for this behavior may cause problems while handling the interruption. For example, if we don’t reset the flag after the interrupt on a parked thread, it may cause subtle bugs.

3.4. Preemptive Permits

Parking and unparking work on the idea of a binary semaphore. Thus, we can provide a thread with a preemptive permit. For example, we can unpark a thread, which would give it a permit, and the subsequent park won’t suspend it but would take the permit and proceed:

private final Thread parkedThread = new Thread() {
    @Override
    public void run() {
        LockSupport.unpark(this);
        LockSupport.park();
    }
};

@Test
void givenThreadWhenPreemptivePermitShouldNotPark()  {
    assertTimeoutPreemptively(Duration.of(1, ChronoUnit.SECONDS), () -> {
        parkedThread.start();
        parkedThread.join();
    });
}

This technique can be used in some complex synchronization scenarios. As the parking uses a binary semaphore, we cannot add up permits, and two unpark calls wouldn’t produce two permits:

private final Thread parkedThread = new Thread() {
    @Override
    public void run() {
        LockSupport.unpark(this);
        LockSupport.unpark(this);
        LockSupport.park();
        LockSupport.park();
    }
};

@Test
void givenThreadWhenRepeatedPreemptivePermitShouldPark()  {
    Callable<Boolean> callable = () -> {
        parkedThread.start();
        parkedThread.join();
        return true;
    };

    boolean result = false;
    Future<Boolean> future = Executors.newSingleThreadExecutor().submit(callable);
    try {
        result = future.get(1, TimeUnit.SECONDS);
    } catch (InterruptedException | ExecutionException | TimeoutException e) {
        // Expected the thread to be parked
    }
    assertFalse(result, "The thread should be parked");
}

In this case, the thread would have only one permit, and the second call to the park() method would park the thread. This might produce some undesired behavior if not appropriately handled.

4. Conclusion

In this article, we learned why the park() method is considered unsafe. JVM developers hide or suggest not to use internal APIs for specific reasons. This is not only because it might be dangerous and produce unexpected results at the moment but also because these APIs might be subject to change in the future, and their support isn’t guaranteed.

Additionally, these APIs require extensive learning about underlying systems and techniques, which may differ from platform to platform. Not following this might result in fragile code and hard-to-debug problems.

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.
Baeldung Pro – NPI EA (cat = Baeldung)
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Baeldung Pro comes with both absolutely No-Ads as well as finally with Dark Mode, for a clean learning experience:

>> Explore a clean Baeldung

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:

>> Download the eBook

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:

>> Join Pro and download the eBook

eBook – Persistence – NPI EA (cat=Persistence)
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Working on getting your persistence layer right with Spring?

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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.

By comparison, using a vector store allows us to represent the data as vector embeddings, based on meaningful relationships. We can then compare the meaning of the user’s query to the stored content, and retrieve more relevant, context-aware results.

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

>> Building an AI Chatbot in Java With Langchain4j and MongoDB Atlas

Course – LS – NPI EA (cat=REST)

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Get started with Spring Boot and with core Spring, through the Learn Spring course:

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eBook – Java Concurrency – NPI (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:

>> Download the eBook

eBook Jackson – NPI EA – 3 (cat = Jackson)