Detailed explanation of Java thread-safe collection classes
Java provides thread-safe collection classes to solve inconsistency problems caused by multi-threaded concurrent data access, including ConcurrentHashMap (thread-safe hash table), ConcurrentLinkedQueue (thread-safe linked list), CopyOnWriteArrayList (thread-safe list) and ConcurrentSkipListSet (thread-safe list) Safety jump table). These collection classes ensure data consistency and are easy to use by providing atomic operations and good concurrency performance.
Detailed explanation of Java thread-safe collection classes
In a multi-threaded environment, when multiple threads access and modify shared data at the same time If the necessary synchronization mechanism is not adopted, data inconsistency and program errors may result. Java provides thread-safe collection classes to solve this problem.
Thread-safe collection class
- ConcurrentHashMap: A thread-safe hash table that supports concurrent access and writing.
- ConcurrentLinkedQueue: A thread-safe linked list that supports multi-threaded concurrent addition and deletion operations.
- CopyOnWriteArrayList: A thread-safe list that creates a copy of the list every time it is modified.
- ConcurrentSkipListSet: A thread-safe skip list that provides ordered element access.
Practical case: Concurrent shopping basket
Suppose we have an online shopping website and need to maintain the shopping basket of each user. In order to avoid multiple threads concurrently modifying the data of the same shopping basket, you can use ConcurrentHashMap
:
import java.util.concurrent.ConcurrentHashMap; public class ConcurrentCart { private ConcurrentHashMap<String, Integer> items; public ConcurrentCart() { this.items = new ConcurrentHashMap<>(); } public void addItem(String itemName, int quantity) { items.put(itemName, items.getOrDefault(itemName, 0) + quantity); } public void removeItem(String itemName) { items.remove(itemName); } // ... 其他方法 }
In this ConcurrentCart
class, the items
dictionary is used ConcurrentHashMap
to ensure thread safety. When we add or delete items, these operations are atomic and there will be no data inconsistency issues.
Advantages
- Data consistency: Avoids data inconsistency caused by concurrent access by multiple threads.
- Performance: These collection classes provide good concurrency performance and can work efficiently even in high concurrency scenarios.
- Easy to use: Simply replace the standard collection class with a thread-safe collection class to achieve thread safety.
The above is the detailed content of Detailed explanation of Java thread-safe collection classes. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

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



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.

Java 8 introduces the Stream API, providing a powerful and expressive way to process data collections. However, a common question when using Stream is: How to break or return from a forEach operation? Traditional loops allow for early interruption or return, but Stream's forEach method does not directly support this method. This article will explain the reasons and explore alternative methods for implementing premature termination in Stream processing systems. Further reading: Java Stream API improvements Understand Stream forEach The forEach method is a terminal operation that performs one operation on each element in the Stream. Its design intention is

Original title: Bittensor=AIBitcoin? Original author: S4mmyEth, Decentralized AI Research Original translation: zhouzhou, BlockBeats Editor's note: This article discusses Bittensor, a decentralized AI platform, hoping to break the monopoly of centralized AI companies through blockchain technology and promote an open and collaborative AI ecosystem. Bittensor adopts a subnet model that allows the emergence of different AI solutions and inspires innovation through TAO tokens. Although the AI market is mature, Bittensor faces competitive risks and may be subject to other open source

redis...

Spring Boot simplifies the creation of robust, scalable, and production-ready Java applications, revolutionizing Java development. Its "convention over configuration" approach, inherent to the Spring ecosystem, minimizes manual setup, allo

Multithreading is an important technology in computer programming and is used to improve program execution efficiency. In the C language, there are many ways to implement multithreading, including thread libraries, POSIX threads, and Windows API.

Detailed explanation of database ACID attributes ACID attributes are a set of rules to ensure the reliability and consistency of database transactions. They define how database systems handle transactions, and ensure data integrity and accuracy even in case of system crashes, power interruptions, or multiple users concurrent access. ACID Attribute Overview Atomicity: A transaction is regarded as an indivisible unit. Any part fails, the entire transaction is rolled back, and the database does not retain any changes. For example, if a bank transfer is deducted from one account but not increased to another, the entire operation is revoked. begintransaction; updateaccountssetbalance=balance-100wh

C language multithreading programming guide: Creating threads: Use the pthread_create() function to specify thread ID, properties, and thread functions. Thread synchronization: Prevent data competition through mutexes, semaphores, and conditional variables. Practical case: Use multi-threading to calculate the Fibonacci number, assign tasks to multiple threads and synchronize the results. Troubleshooting: Solve problems such as program crashes, thread stop responses, and performance bottlenecks.
