Home Java javaTutorial Synchronization and locking mechanism of interfaces and abstract classes in Java

Synchronization and locking mechanism of interfaces and abstract classes in Java

May 01, 2024 pm 02:27 PM
interface abstract class concurrent access Synchronization mechanism

Synchronization mechanism of interfaces and abstract classes in Java: Interfaces and abstract classes cannot be instantiated and cannot have their own locks. Synchronized methods can be declared, which are similar to ordinary methods but modified using the synchronized keyword. When a synchronized method is called, the thread will acquire the lock of the method. Other threads calling the same method at the same time will be blocked until the lock is released. Practical case: The shared resource class SharedResource has two synchronization methods. Two threads access the resource concurrently. However, due to method synchronization, the thread must wait for access to the lock before modifying the value to ensure the correctness of the value and avoid concurrency problems.

Java 中接口和抽象类的同步与锁机制

Synchronization and locking mechanism of interfaces and abstract classes in Java

Introduction

Synchronization is a mechanism to ensure safe access to shared resources by multiple threads. In Java, you can use locks to achieve synchronization. A lock is an object that, when a thread requests a lock, blocks other threads from accessing the resource until the lock is released.

Synchronization in interfaces and abstract classes

Interfaces and abstract classes cannot be instantiated, so they cannot have their own locks. However, they can declare synchronized methods, which are very similar to normal methods but modified using the synchronized keyword.

public interface SynchronizedInterface {

    synchronized void synchronizedMethod();

}

public abstract class SynchronizedAbstractClass {

    synchronized void synchronizedMethod();

}
Copy after login

When a thread calls a synchronized method, it acquires the method's lock. If another thread tries to call the same method at the same time, it will be blocked until the lock is released.

Practical case

Consider a shared resource class SharedResource, which has two synchronization methods: increment and decrement.

public class SharedResource {

    private int value = 0;

    public synchronized void increment() {
        value++;
    }

    public synchronized void decrement() {
        value--;
    }

}
Copy after login

Now, we have two threads Thread1 and Thread2, which access SharedResource concurrently.

public class Thread1 implements Runnable {

    private SharedResource sharedResource;

    @Override
    public void run() {
        for (int i = 0; i < 100000; i++) {
            sharedResource.increment();
        }
    }

}

public class Thread2 implements Runnable {

    private SharedResource sharedResource;

    @Override
    public void run() {
        for (int i = 0; i < 100000; i++) {
            sharedResource.decrement();
        }
    }

}

public class Main {

    public static void main(String[] args) {
        SharedResource sharedResource = new SharedResource();

        Thread1 thread1 = new Thread1();
        Thread2 thread2 = new Thread2();

        thread1.start();
        thread2.start();

        try {
            thread1.join();
            thread2.join();
        } catch (InterruptedException e) {
            e.printStackTrace();
        }

        System.out.println("Final value: " + sharedResource.value);
    }

}
Copy after login

In this case, two threads call the increment and decrement methods in parallel, but since these methods are synchronized, each thread is modifyingvalue Must wait for access to the lock before. This ensures that the value of value is always correct and no concurrency issues arise.

The above is the detailed content of Synchronization and locking mechanism of interfaces and abstract classes in Java. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How to ensure thread safety of volatile variables in Java functions? How to ensure thread safety of volatile variables in Java functions? May 04, 2024 am 10:15 AM

Methods for ensuring thread safety of volatile variables in Java: Visibility: Ensure that modifications to volatile variables by one thread are immediately visible to other threads. Atomicity: Ensure that certain operations on volatile variables (such as writing, reading, and comparison exchanges) are indivisible and will not be interrupted by other threads.

C++ Concurrent Programming: How to handle inter-thread communication? C++ Concurrent Programming: How to handle inter-thread communication? May 04, 2024 pm 12:45 PM

Methods for inter-thread communication in C++ include: shared memory, synchronization mechanisms (mutex locks, condition variables), pipes, and message queues. For example, use a mutex lock to protect a shared counter: declare a mutex lock (m) and a shared variable (counter); each thread updates the counter by locking (lock_guard); ensure that only one thread updates the counter at a time to prevent race conditions.

What are the concurrent programming frameworks and libraries in C++? What are their respective advantages and limitations? What are the concurrent programming frameworks and libraries in C++? What are their respective advantages and limitations? May 07, 2024 pm 02:06 PM

The C++ concurrent programming framework features the following options: lightweight threads (std::thread); thread-safe Boost concurrency containers and algorithms; OpenMP for shared memory multiprocessors; high-performance ThreadBuildingBlocks (TBB); cross-platform C++ concurrency interaction Operation library (cpp-Concur).

What pitfalls should we pay attention to when designing distributed systems with Golang technology? What pitfalls should we pay attention to when designing distributed systems with Golang technology? May 07, 2024 pm 12:39 PM

Pitfalls in Go Language When Designing Distributed Systems Go is a popular language used for developing distributed systems. However, there are some pitfalls to be aware of when using Go, which can undermine the robustness, performance, and correctness of your system. This article will explore some common pitfalls and provide practical examples on how to avoid them. 1. Overuse of concurrency Go is a concurrency language that encourages developers to use goroutines to increase parallelism. However, excessive use of concurrency can lead to system instability because too many goroutines compete for resources and cause context switching overhead. Practical case: Excessive use of concurrency leads to service response delays and resource competition, which manifests as high CPU utilization and high garbage collection overhead.

How to solve the problem of busy servers for deepseek How to solve the problem of busy servers for deepseek Mar 12, 2025 pm 01:39 PM

DeepSeek: How to deal with the popular AI that is congested with servers? As a hot AI in 2025, DeepSeek is free and open source and has a performance comparable to the official version of OpenAIo1, which shows its popularity. However, high concurrency also brings the problem of server busyness. This article will analyze the reasons and provide coping strategies. DeepSeek web version entrance: https://www.deepseek.com/DeepSeek server busy reason: High concurrent access: DeepSeek's free and powerful features attract a large number of users to use at the same time, resulting in excessive server load. Cyber ​​Attack: It is reported that DeepSeek has an impact on the US financial industry.

What are the common methods for program performance optimization? What are the common methods for program performance optimization? May 09, 2024 am 09:57 AM

Program performance optimization methods include: Algorithm optimization: Choose an algorithm with lower time complexity and reduce loops and conditional statements. Data structure selection: Select appropriate data structures based on data access patterns, such as lookup trees and hash tables. Memory optimization: avoid creating unnecessary objects, release memory that is no longer used, and use memory pool technology. Thread optimization: identify tasks that can be parallelized and optimize the thread synchronization mechanism. Database optimization: Create indexes to speed up data retrieval, optimize query statements, and use cache or NoSQL databases to improve performance.

What is the difference between interfaces and abstract classes in PHP? What is the difference between interfaces and abstract classes in PHP? Jun 04, 2024 am 09:17 AM

Interfaces and abstract classes are used to create extensible PHP code, and there is the following key difference between them: Interfaces enforce through implementation, while abstract classes enforce through inheritance. Interfaces cannot contain concrete methods, while abstract classes can. A class can implement multiple interfaces, but can only inherit from one abstract class. Interfaces cannot be instantiated, but abstract classes can.

Lock granularity optimization skills for golang function concurrent cache Lock granularity optimization skills for golang function concurrent cache May 05, 2024 am 08:45 AM

Lock granularity tips for optimizing Go concurrent cache performance: Global lock: Simple implementation, if the lock granularity is too large, unnecessary competition will occur. Key-level locking: The lock granularity is refined to each key, but it will introduce a large number of locks and increase overhead. Shard lock: Divide the cache into multiple shards, each shard has a separate lock, to achieve a balance between concurrency and lock contention.

See all articles