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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.

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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.

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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.

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You can explore the course here:

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Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.

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End-to-end testing is a very useful method to make sure that your application works as intended. This highlights issues in the overall functionality of the software, that the unit and integration test stages may miss.

Playwright is an easy-to-use, but powerful tool that automates end-to-end testing, and supports all modern browsers and platforms.

When coupled with LambdaTest (an AI-powered cloud-based test execution platform) it can be further scaled to run the Playwright scripts in parallel across 3000+ browser and device combinations:

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eBook – Java Concurrency – NPI (cat=Java Concurrency)
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1. Overview

Simply put, a lock is a more flexible and sophisticated thread synchronization mechanism than the standard synchronized block.

The Lock interface has been around since Java 1.5. It’s defined inside the java.util.concurrent.lock package, and it provides extensive operations for locking.

In this tutorial, we’ll explore different implementations of the Lock interface and their applications.

2. Differences Between Lock and Synchronized Block

There are a few differences between the use of synchronized block and using Lock APIs:

  • A synchronizedblock is fully contained within a method. We can have Lock APIs lock() and unlock() operation in separate methods.
  • A synchronized block doesn’t support the fairness. Any thread can acquire the lock once released, and no preference can be specified. We can achieve fairness within the Lock APIs by specifying the fairness property. It makes sure that the longest waiting thread is given access to the lock.
  • A thread gets blocked if it can’t get an access to the synchronized block. The Lock API provides tryLock() method. The thread acquires lock only if it’s available and not held by any other thread. This reduces blocking time of thread waiting for the lock.
  • A thread that is in “waiting” state to acquire the access to synchronized block can’t be interrupted. The Lock API provides a method lockInterruptibly() that can be used to interrupt the thread when it’s waiting for the lock.

3. Lock API

Let’s take a look at the methods in the Lock interface:

  • void lock() – Acquire the lock if it’s available. If the lock isn’t available, a thread gets blocked until the lock is released.
  • void lockInterruptibly() – This is similar to the lock(), but it allows the blocked thread to be interrupted and resume the execution through a thrown java.lang.InterruptedException.
  • boolean tryLock() – This is a nonblocking version of lock() method. It attempts to acquire the lock immediately, return true if locking succeeds.
  • boolean tryLock(long timeout, TimeUnit timeUnit) – This is similar to tryLock(), except it waits up the given timeout before giving up trying to acquire the Lock.
  • void unlock() unlocks the Lock instance.

A locked instance should always be unlocked to avoid deadlock condition.

A recommended code block to use the lock should contain a try/catch and finally block:

Lock lock = ...; 
lock.lock();
try {
    // access to the shared resource
} finally {
    lock.unlock();
}

In addition to the Lock interface, we have a ReadWriteLock interface that maintains a pair of locks, one for read-only operations and one for the write operation. The read lock may be simultaneously held by multiple threads as long as there is no write.

ReadWriteLock declares methods to acquire read or write locks:

  • Lock readLock() returns the lock that’s used for reading.
  • Lock writeLock() returns the lock that’s used for writing.

4. Lock Implementations

4.1. ReentrantLock

ReentrantLock class implements the Lock interface. It offers the same concurrency and memory semantics as the implicit monitor lock accessed using synchronized methods and statements, with extended capabilities.

Let’s see how we can use ReentrantLock for synchronization:

public class SharedObjectWithLock {
    //...
    ReentrantLock lock = new ReentrantLock();
    int counter = 0;

    public void perform() {
        lock.lock();
        try {
            // Critical section here
            count++;
        } finally {
            lock.unlock();
        }
    }
    //...
}

We need to make sure that we are wrapping the lock() and the unlock() calls in the try-finally block to avoid the deadlock situations.

Let’s see how the tryLock() works:

public void performTryLock(){
    //...
    boolean isLockAcquired = lock.tryLock(1, TimeUnit.SECONDS);
    
    if(isLockAcquired) {
        try {
            //Critical section here
        } finally {
            lock.unlock();
        }
    }
    //...
}

In this case, the thread calling tryLock() will wait for one second and will give up waiting if the lock isn’t available.

4.2. ReentrantReadWriteLock

ReentrantReadWriteLock class implements the ReadWriteLock interface.

Let’s see the rules for acquiring the ReadLock or WriteLock by a thread:

  • Read Lock – If no thread acquired the write lock or requested for it, multiple threads can acquire the read lock.
  • Write Lock – If no threads are reading or writing, only one thread can acquire the write lock.

Let’s look at how to make use of the ReadWriteLock:

public class SynchronizedHashMapWithReadWriteLock {

    Map<String,String> syncHashMap = new HashMap<>();
    ReadWriteLock lock = new ReentrantReadWriteLock();
    // ...
    Lock writeLock = lock.writeLock();

    public void put(String key, String value) {
        try {
            writeLock.lock();
            syncHashMap.put(key, value);
        } finally {
            writeLock.unlock();
        }
    }
    ...
    public String remove(String key){
        try {
            writeLock.lock();
            return syncHashMap.remove(key);
        } finally {
            writeLock.unlock();
        }
    }
    //...
}

For both write methods, we need to surround the critical section with the write lock — only one thread can get access to it:

Lock readLock = lock.readLock();
//...
public String get(String key){
    try {
        readLock.lock();
        return syncHashMap.get(key);
    } finally {
        readLock.unlock();
    }
}

public boolean containsKey(String key) {
    try {
        readLock.lock();
        return syncHashMap.containsKey(key);
    } finally {
        readLock.unlock();
    }
}

For both read methods, we need to surround the critical section with the read lock. Multiple threads can get access to this section if no write operation is in progress.

4.3. StampedLock

StampedLock is introduced in Java 8. It also supports both read and write locks.

However, lock acquisition methods return a stamp that is used to release a lock or to check if the lock is still valid:

public class StampedLockDemo {
    Map<String,String> map = new HashMap<>();
    private StampedLock lock = new StampedLock();

    public void put(String key, String value){
        long stamp = lock.writeLock();
        try {
            map.put(key, value);
        } finally {
            lock.unlockWrite(stamp);
        }
    }

    public String get(String key) throws InterruptedException {
        long stamp = lock.readLock();
        try {
            return map.get(key);
        } finally {
            lock.unlockRead(stamp);
        }
    }
}

Another feature provided by StampedLock is optimistic locking. Most of the time, read operations don’t need to wait for write operation completion, and as a result of this, the full-fledged read lock isn’t required.

Instead, we can upgrade to read lock:

public String readWithOptimisticLock(String key) {
    long stamp = lock.tryOptimisticRead();
    String value = map.get(key);

    if(!lock.validate(stamp)) {
        stamp = lock.readLock();
        try {
            return map.get(key);
        } finally {
            lock.unlock(stamp);               
        }
    }
    return value;
}

5. Working With Conditions

The Condition class provides the ability for a thread to wait for some condition to occur while executing the critical section.

This can occur when a thread acquires the access to the critical section but doesn’t have the necessary condition to perform its operation. For example, a reader thread can get access to the lock of a shared queue that still doesn’t have any data to consume.

Traditionally Java provides wait(), notify() and notifyAll() methods for thread intercommunication.

Conditions have similar mechanisms, but we can also specify multiple conditions:

public class ReentrantLockWithCondition {

    Stack<String> stack = new Stack<>();
    int CAPACITY = 5;

    ReentrantLock lock = new ReentrantLock();
    Condition stackEmptyCondition = lock.newCondition();
    Condition stackFullCondition = lock.newCondition();

    public void pushToStack(String item){
        try {
            lock.lock();
            while(stack.size() == CAPACITY) {
                stackFullCondition.await();
            }
            stack.push(item);
            stackEmptyCondition.signalAll();
        } finally {
            lock.unlock();
        }
    }

    public String popFromStack() {
        try {
            lock.lock();
            while(stack.size() == 0) {
                stackEmptyCondition.await();
            }
            return stack.pop();
        } finally {
            stackFullCondition.signalAll();
            lock.unlock();
        }
    }
}

6. Conclusion

In this article, we saw different implementations of the Lock interface and the newly introduced StampedLock class.

We also explored how we can make use of the Condition class to work with multiple conditions.

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:

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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 = 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.

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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.

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eBook – Java Concurrency – NPI (cat=Java Concurrency)
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