How to use atomic classes in Java function concurrency and multi-threading?
Apr 28, 2024 pm 04:12 PM
Atomic classes are thread-safe classes in Java that provide uninterruptible operations and are crucial to ensuring the integrity of data in a concurrent environment. Java provides the following atomic classes: AtomicIntegerAtomicLongAtomicReferenceAtomicBoolean These classes provide methods for getting, setting, and comparing values ??to ensure that the operation is atomic and will not be interrupted by threads. Atomic classes are useful when working with shared data and preventing data corruption, such as maintaining shared counters for concurrent access.
Atomic Classes in Java Functions: A Critical Guide in Concurrency and Multithreading
Atomic Classes Overview
The atomic class is a thread-safe class that provides operations that can be performed atomically. This means that these operations are uninterruptible for multiple threads. Atomic classes are essential for maintaining consistent data in a concurrent environment.
Atomic classes in Java
The Java standard library provides the following atomic classes:
AtomicIntegerAtomicLongAtomicReferenceAtomicBoolean
These classes are basic Data types such as int, long, boolean, and references provide atomic operations. They have the following methods:
-
get(): Get the current value -
set(): Set the new value -
compareAndSet(): If the current value is equal to the expected value, update to the new value.
Usage
The following is an example of using AtomicInteger:
// 創(chuàng)建一個(gè) AtomicInteger AtomicInteger counter = new AtomicInteger(); // 以下操作都是原子的 counter.incrementAndGet(); // 獲取并遞增 counter.addAndGet(10); // 獲取并增加 10 counter.compareAndSet(10, 20); // 如果當(dāng)前值為 10，則更新為 20
Practical case
Consider an example of a shared counter. Multiple threads access this counter simultaneously and increment it. If you use non-atomic classes, data corruption may occur because threads may overwrite each other's changes. You can use AtomicInteger to solve this problem:
public class SharedCounter {
// 使用 AtomicInteger 來保證線程安全
private AtomicInteger count = new AtomicInteger(0);
public void increment() {
count.incrementAndGet();
}
public int getCount() {
return count.get();
}
}At this time, multiple threads can safely call the increment() method at the same time, and no data will appear when accessing the shared counter. damage.
Conclusion
Atomic classes are a valuable tool for handling concurrency and multi-threading in Java. They provide uninterruptible operations and can be used to maintain consistent data. The above example shows how to write thread-safe code using atomic classes in Java.
The above is the detailed content of How to use atomic classes in Java function concurrency and multi-threading?. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undress AI Tool
Undress images for free
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
Clothoff.io
AI clothes remover
Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!
Hot Article
Hot Tools
Notepad++7.3.1
Easy-to-use and free code editor
SublimeText3 Chinese version
Chinese version, very easy to use
Zend Studio 13.0.1
Powerful PHP integrated development environment
Dreamweaver CS6
Visual web development tools
SublimeText3 Mac version
God-level code editing software (SublimeText3)
Hot Topics
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.
Which libraries in Go are developed by large companies or provided by well-known open source projects?
Apr 02, 2025 pm 04:12 PM
Which libraries in Go are developed by large companies or well-known open source projects? When programming in Go, developers often encounter some common needs, ...
.NET Core Quick Start Tutorial 1. The beginning: Talking about .NET Core
May 07, 2025 pm 04:54 PM
1. The Origin of .NETCore When talking about .NETCore, we must not mention its predecessor .NET. Java was in the limelight at that time, and Microsoft also favored Java. The Java virtual machine on the Windows platform was developed by Microsoft based on JVM standards. It is said to be the best performance Java virtual machine at that time. However, Microsoft has its own little abacus, trying to bundle Java with the Windows platform and add some Windows-specific features. Sun's dissatisfaction with this led to a breakdown of the relationship between the two parties, and Microsoft then launched .NET. .NET has borrowed many features of Java since its inception and gradually surpassed Java in language features and form development. Java in version 1.6
How to understand ABI compatibility in C?
Apr 28, 2025 pm 10:12 PM
ABI compatibility in C refers to whether binary code generated by different compilers or versions can be compatible without recompilation. 1. Function calling conventions, 2. Name modification, 3. Virtual function table layout, 4. Structure and class layout are the main aspects involved.
Four ways to implement multithreading in C language
Apr 03, 2025 pm 03:00 PM
Multithreading in the language can greatly improve program efficiency. There are four main ways to implement multithreading in C language: Create independent processes: Create multiple independently running processes, each process has its own memory space. Pseudo-multithreading: Create multiple execution streams in a process that share the same memory space and execute alternately. Multi-threaded library: Use multi-threaded libraries such as pthreads to create and manage threads, providing rich thread operation functions. Coroutine: A lightweight multi-threaded implementation that divides tasks into small subtasks and executes them in turn.
How to use the chrono library in C?
Apr 28, 2025 pm 10:18 PM
Using the chrono library in C can allow you to control time and time intervals more accurately. Let's explore the charm of this library. C's chrono library is part of the standard library, which provides a modern way to deal with time and time intervals. For programmers who have suffered from time.h and ctime, chrono is undoubtedly a boon. It not only improves the readability and maintainability of the code, but also provides higher accuracy and flexibility. Let's start with the basics. The chrono library mainly includes the following key components: std::chrono::system_clock: represents the system clock, used to obtain the current time. std::chron
Does mysql optimize lock tables
Apr 08, 2025 pm 01:51 PM
MySQL uses shared locks and exclusive locks to manage concurrency, providing three lock types: table locks, row locks and page locks. Row locks can improve concurrency, and use the FOR UPDATE statement to add exclusive locks to rows. Pessimistic locks assume conflicts, and optimistic locks judge the data through the version number. Common lock table problems manifest as slow querying, use the SHOW PROCESSLIST command to view the queries held by the lock. Optimization measures include selecting appropriate indexes, reducing transaction scope, batch operations, and optimizing SQL statements.
distinct function usage distance function c usage tutorial
Apr 03, 2025 pm 10:27 PM
std::unique removes adjacent duplicate elements in the container and moves them to the end, returning an iterator pointing to the first duplicate element. std::distance calculates the distance between two iterators, that is, the number of elements they point to. These two functions are useful for optimizing code and improving efficiency, but there are also some pitfalls to be paid attention to, such as: std::unique only deals with adjacent duplicate elements. std::distance is less efficient when dealing with non-random access iterators. By mastering these features and best practices, you can fully utilize the power of these two functions.
