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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Get Started with Apache Maven:

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

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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:

>> The New “REST With Spring Boot”

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 – Moderne – NPI EA (cat=Spring Boot)
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Refactor Java code safely — and automatically — with OpenRewrite.

Refactoring big codebases by hand is slow, risky, and easy to put off. That’s where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.

Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions — one for newcomers and one for experienced users. You’ll see how recipes work, how to apply them across projects, and how to modernize code with confidence.

Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.

Course – LJB – NPI EA (cat = Core Java)
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Code your way through and build up a solid, practical foundation of Java:

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Partner – LambdaTest – NPI EA (cat= Testing)
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Distributed systems often come with complex challenges such as service-to-service communication, state management, asynchronous messaging, security, and more.

Dapr (Distributed Application Runtime) provides a set of APIs and building blocks to address these challenges, abstracting away infrastructure so we can focus on business logic.

In this tutorial, we'll focus on Dapr's pub/sub API for message brokering. Using its Spring Boot integration, we'll simplify the creation of a loosely coupled, portable, and easily testable pub/sub messaging system:

>> Flexible Pub/Sub Messaging With Spring Boot and Dapr

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. Introduction

In Java, we have a wait()/notify() API. This API is one of the ways to synchronize between threads. In order to use the methods of this API, the current thread must own the monitor of the callee.

In this tutorial, we’ll explore the reasons why this requirement makes sense.

2. How wait() Works

First, we need to briefly talk about how wait() works in Java. In Java, in accordance with JLS, each object has a monitor. Essentially, it means that we can synchronize on any object that we like. It was probably not a good decision, but this is what we have now.

Having that, when we call wait(), we implicitly do two things. First, we place the current thread into the JVM internal wait set for this object monitor. The second is that once the thread is in wait set, we (or the JVM, for that matter) release the synchronization lock on this object. Here, we need to clarify – the word this means the object on which we call the wait() method.

And then, the current thread just waits in the set until another thread calls notify()/notifyAll() on this object.

3. Why Is Monitor Ownership Required?

In the previous section, we saw that the second thing JVM does is the release of the synchronization lock on this object. In order to release it, we obviously need to own it first. The reasoning for this is relatively simple: synchronization on wait() comes as a requirement in order to avoid the lost wake-up problem. This problem essentially represents a condition where we have a waiting thread that has missed the notify signal. It mostly happens due to the race condition between threads. Let us emulate this problem with an example.

Suppose we have the following Java code:

private volatile boolean jobIsDone;

private Object lock = new Object();

public void ensureCondition() {
    while (!jobIsDone) {
        try {
            lock.wait();
        } 
        catch (InterruptedException e) {
            // ...
        }
    }
}

public void complete() {
    jobIsDone = true;
    lock.notify();
}

A quick note – this code will fail in runtime with IllegalMonitorStateException. This is because, in both methods, we do not ask for a lock object monitor before wait()/notify() calls. Thus, this code is purely for demonstration and learning purposes.

Also, let’s assume we have two threads. So, thread B is doing the useful work. Once it is done, thread B needs to call the complete() method to signal the completion. We also have another thread, A, that is waiting for the job performed by B to be completed. Thread A makes its check for condition by calling the ensureCondition() method. The check for the condition is happening in the loop because of the spurious wake-up problem that occurs on the Linux kernel level, but that is another topic.

4. The Problem of the Lost Wake-up

Let’s break down our example step by step. Assume thread A called ensureCondition() and enters the while loop. It checked for a condition, which appeared to be false, so it entered the try block. Because we operate in a multithreaded environment, another thread B can simultaneously enter the complete() method. Therefore, B can call set volatile flag jobIsDone to true and call notify() before thread A called wait().

In this case, if thread B will never enter the complete() again, thread A will wait forever, and therefore, all of the resources associated with it will also live forever. This leads not only to deadlocks if thread A happens to hold another lock but to memory leaks because objects reachable from thread A stack frames will remain alive. This is because thread A is considered to be alive, and it can resume its execution. Therefore, GC is not allowed to garbage collect objects allocated in methods of A stack.

5. Solution

So, in order to avoid this condition, we need synchronization. Therefore, the caller must own the monitor of the callee before execution. So, let’s rewrite our code having synchronization concerns in mind:

private volatile boolean jobIsDone;
private final Object lock = new Object();

public void ensureCondition() {
    synchronized (lock) {
        while (!jobIsDone) {
            try {
                lock.wait();
            } 
            catch (InterruptedException e) { 
                // ...
            }
        }
    }
}

public void complete() {
    synchronized (lock) {
        jobIsDone = true;
        lock.notify();
    }
}

Here, we just added a synchronized block, where we try to acquire the lock object monitor before invoking the wait()/notify() API. Now, we avoid lost wake-up if B executes complete() method before A will invoke wait(). This is because the complete() method can be executed by B only if A has not acquired the lock object monitor. Thus, A cannot check a condition while the complete() method is executing.

6. Conclusion

In this article, we discussed why the Java wait() method requires synchronization. We need ownership of the callee monitor in order to avoid lost wake-up anomaly. If we do not do that, the JVM will take a fail-fast approach and throw IllegalMonitorStateException.

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.

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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Course – LS – NPI EA (cat=REST)

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

>> CHECK OUT THE COURSE

Partner – Moderne – NPI EA (tag=Refactoring)
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Modern Java teams move fast — but codebases don’t always keep up. Frameworks change, dependencies drift, and tech debt builds until it starts to drag on delivery. OpenRewrite was built to fix that: an open-source refactoring engine that automates repetitive code changes while keeping developer intent intact.

The monthly training series, led by the creators and maintainers of OpenRewrite at Moderne, walks through real-world migrations and modernization patterns. Whether you’re new to recipes or ready to write your own, you’ll learn practical ways to refactor safely and at scale.

If you’ve ever wished refactoring felt as natural — and as fast — as writing code, this is a good place to start.

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)
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