Table of Contents
ConcurrencyCollectionIntroduction" >Java ConcurrencyCollectionIntroduction
Advantages of Java concurrent collections
Common implementations of Java concurrent collections
Java concurrent collection usage examples
Master Java concurrent collections and improve multi-threaded programming capabilities
Home Java javaTutorial Java concurrent collections in simple terms: Master the secrets of multi-threaded programming

Java concurrent collections in simple terms: Master the secrets of multi-threaded programming

Feb 19, 2024 pm 09:51 PM
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深入浅出 Java 并发集合:掌握多线程编程的奥秘

php editor Xiaoxin has launched a special article "Java Concurrent Collections in a Simple Language: Mastering the Mysteries of Multi-Threaded Programming". This article deeply discusses the concurrent collections in Java and helps readers better understand the core of multi-threaded programming. Concepts and techniques. Through this article, readers can systematically learn and master the use of Java concurrent collections, improve their multi-threaded programming capabilities, and achieve efficient concurrent operations.

Advantages of Java concurrent collections

Using Java concurrent collections has the following advantages:

  • Concurrency security: Java concurrent collections ensure the security of accessing and modifying data in a multi-threaded environment through the built-in lock mechanism or lock-free algorithm , preventing Data is corrupted or inconsistent.
  • High performance: Java concurrent collections have been specially optimized, which can make full use of the advantages of multi-core CPUs and improve the efficiency of data access and processing.
  • Ease of use: Java concurrent collections provide a simple and easy-to-use api, which can easily create, use and maintain concurrent collections, reducing multi-threadingprogramming complexity.

Common implementations of Java concurrent collections

Java concurrent collections provide a variety of common implementations, including:

  • ConcurrentHashMap: A thread-safe hash table that supports concurrent read and write operations, with high concurrency and good performance.
  • CopyOnWriteArrayList: A thread-safe list, each modification operation will create a new copy, ensuring the safety of concurrent reading and writing.
  • BlockingQueue: A thread-safe queue that supports blocking read and write operations and can be used to implement the producer-consumer mode.
  • ConcurrentSkipListMap: A thread-safe skip list implementation with high performance and good concurrency.
  • ConcurrentLinkedQueue: A thread-safe linked list implemented queue with high concurrency and good performance.

Java concurrent collection usage examples

The following code example demonstrates the use of Java concurrent collections:

import java.util.concurrent.ConcurrentHashMap;

public class JavaConcurrentCollectionDemo {

public static void main(String[] args) {
// 创建一个并发哈希表
ConcurrentHashMap<String, Integer> map = new ConcurrentHashMap<>();

// 并发地往哈希表中添加元素
map.put("Key1", 1);
map.put("Key2", 2);
map.put("Key3", 3);

// 并发地从哈希表中获取元素
System.out.println(map.get("Key1"));
System.out.println(map.get("Key2"));
System.out.println(map.get("Key3"));

// 并发地修改哈希表中的元素
map.replace("Key1", 10);
map.replace("Key2", 20);
map.replace("Key3", 30);

// 并发地从哈希表中删除元素
map.remove("Key1");
map.remove("Key2");
map.remove("Key3");
}
}
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In this example, we create a concurrent hash table and add, get, modify, and delete elements to it concurrently. ConcurrentHashMap ensures the safety of these concurrent operations and prevents data corruption or inconsistency.

Master Java concurrent collections and improve multi-threaded programming capabilities

Java concurrent collections are an essential tool in multi-threaded programming. Proficient in the use of Java concurrent collections can effectively cope with the challenges in multi-threaded programming and improve program efficiency and stability. Through in-depth understanding and application of Java concurrent collections, you can improve the concurrency and performance of your program and provide a solid foundation for multi-threaded programming.

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