Multithreading methods and examples developed in Java
Java is a popular programming language and one of the most widely used multi-threaded programming languages. Multi-threading refers to allowing a program to perform multiple tasks at the same time, which can improve the execution efficiency of the program. This article will introduce multi-threading methods and examples in Java development.
- The basic concept of Java multi-threading
Multi-threading in Java is to complete tasks in the code by creating multiple threads. In a single-threaded program, each statement is executed in sequence, while in a multi-threaded program, different threads can execute different statements at the same time, which improves the execution efficiency of the program.
In Java, threads are implemented through the Thread class. Each thread is an independent execution unit with its own execution stack and execution control flow. Threads in Java are divided into user threads and daemon threads. When all user threads have finished executing, the daemon thread will also end execution.
- How to implement multi-threading in Java
Multi-threading in Java can be achieved by implementing the Runnable interface or inheriting the Thread class. Using the Runnable interface can achieve code reuse, and using the Thread class can achieve more control.
2.1 Implement the Runnable interface
To use the Runnable interface, you need to implement the run() method, and write the code to be executed by multiple threads in the run() method. To use the Runnable interface, you need to create a Thread object and start the thread through the Thread object.
The sample code is as follows:
public class MyRunnable implements Runnable { @Override public void run() { //多线程执行的代码 System.out.println("MyRunnable start"); } public static void main(String[] args) { MyRunnable r = new MyRunnable(); Thread t = new Thread(r); t.start(); } }
2.2 Inheriting the Thread class
Inheriting the Thread class requires overriding the run() method, and writing multi-threaded execution in the run() method code.
The sample code is as follows:
public class MyThread extends Thread{ @Override public void run() { //多线程执行的代码 System.out.println("MyThread start"); } public static void main(String[] args) { MyThread t = new MyThread(); t.start(); } }
- Common methods of Java multi-threading
Multi-threading in Java can be operated using some common methods. The following are commonly used methods:
3.1 start()
The start() method is a method to start a thread.
The sample code is as follows:
Thread t = new Thread(); t.start();
3.2 join()
The join() method is a method that waits for the thread to complete execution.
The sample code is as follows:
Thread t = new Thread(); t.start(); t.join();
3.3 sleep()
The sleep() method is a method to let the thread sleep for a period of time.
The sample code is as follows:
Thread.sleep(1000);
- Java multi-thread synchronization issue
Multiple threads in Java will involve synchronization issues. Multiple threads can do this at the same time. Accessing the same resource can cause conflicts. Java provides the synchronized keyword and Lock interface to solve this problem.
4.1 synchronized keyword
The synchronized keyword can be used to modify an object or method to ensure that only one thread can execute this object or method at the same time.
The sample code is as follows:
public class MyThread implements Runnable{ private static int count = 0; @Override public synchronized void run() { for (int i = 0; i < 10000; i++) { count++; } } public static void main(String[] args) throws InterruptedException { MyThread r1 = new MyThread(); MyThread r2 = new MyThread(); Thread t1 = new Thread(r1); Thread t2 = new Thread(r2); t1.start(); t2.start(); t1.join(); t2.join(); System.out.println(count); } }
4.2 Lock interface
The Lock interface provides a more flexible locking method and is more refined than the synchronized keyword.
The sample code is as follows:
public class MyThread implements Runnable{ private static int count = 0; private Lock lock = new ReentrantLock(); @Override public void run() { lock.lock(); try { for (int i = 0; i < 10000; i++) { count++; } } finally { lock.unlock(); } } public static void main(String[] args) throws InterruptedException { MyThread r1 = new MyThread(); MyThread r2 = new MyThread(); Thread t1 = new Thread(r1); Thread t2 = new Thread(r2); t1.start(); t2.start(); t1.join(); t2.join(); System.out.println(count); } }
- Conclusion
Multiple threads in Java can improve the execution efficiency of the program and are often used in development. This article introduces the basic concepts, implementation methods, common methods and solutions to synchronization problems in Java multithreading. I hope it will be helpful to students who develop Java.
The above is the detailed content of Multithreading methods and examples developed in Java. 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

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











Reasons for table locking in Oracle and how to deal with it In Oracle database, table locking is a common phenomenon, and there are many reasons for table locking. This article will explore some common reasons why tables are locked, and provide some processing methods and related code examples. 1. Types of locks In the Oracle database, locks are mainly divided into shared locks (SharedLock) and exclusive locks (ExclusiveLock). Shared locks are used for read operations, allowing multiple sessions to read the same resource at the same time.

JSON is a lightweight data exchange format that is easy to read and write, as well as easy for machines to parse and generate. Using JSON format makes it easy to transfer data between various systems. In C++, there are many open source JSON libraries for JSON processing. This article will introduce some commonly used JSON processing methods and implementations in C++. JSON processing methods in C++ RapidJSON RapidJSON is a fast C++ JSON parser/generator that provides DOM, SAX and

How to deal with the array out-of-bounds problem in C++ development In C++ development, array out-of-bounds is a common error, which can lead to program crashes, data corruption and even security vulnerabilities. Therefore, correctly handling array out-of-bounds problems is an important part of ensuring program quality. This article will introduce some common processing methods and suggestions to help developers avoid array out-of-bounds problems. First, it is key to understand the cause of the array out-of-bounds problem. Array out-of-bounds refers to an index that exceeds its definition range when accessing an array. This usually happens in the following scenario: Negative numbers are used when accessing the array

Detailed explanation of the role and application scenarios of the volatile keyword in Java 1. The role of the volatile keyword In Java, the volatile keyword is used to identify a variable that is visible between multiple threads, that is, to ensure visibility. Specifically, when a variable is declared volatile, any modifications to the variable are immediately known to other threads. 2. Application scenarios of the volatile keyword The status flag volatile keyword is suitable for some status flag scenarios, such as a

QQ is a chat software produced by Tencent. Almost everyone has a QQ account and can remotely connect and operate when chatting. However, some users encounter the problem of being unable to connect, so what should they do? Let’s take a look below. What to do if QQ Remote Desktop cannot connect: 1. Open the chat interface, click the "..." icon in the upper right corner 2. Select the red computer icon and click "Settings" 3. Click "Set Permissions—>Remote Desktop" 4. Check "Allow Remote Desktop to connect to this computer"

The memory space of the computer depends on the smoothness of the computer's operation. Over time, the memory will become full and the usage will be too high, which will cause the computer to become delayed. So how to solve it? Let’s take a look at the solutions below. What to do if Windows 7 memory usage is too high: Method 1. Disable automatic updates 1. Click "Start" to open "Control Panel" 2. Click "Windows Update" 3. Click "Change Settings" on the left 4. Select the "Never Check for Updates" method 2. Software deletion: Uninstall all useless software. Method 3: Close processes and end all useless processes, otherwise there will be many advertisements in the background filling up the memory. Method 4: Disable services. Many useless services in the system are also closed, which not only ensures security but also saves space.

Golang is a powerful and efficient programming language that can be used to develop various applications and services. In Golang, pointers are a very important concept, which can help us operate data more flexibly and efficiently. Pointer conversion refers to the process of pointer operations between different types. This article will use specific examples to learn the best practices of pointer conversion in Golang. 1. Basic concepts In Golang, each variable has an address, and the address is the location of the variable in memory.

How to deal with data slicing problems in C++ development Summary: Data slicing is one of the common problems in C++ development. This article will introduce the concept of data slicing, discuss why data slicing problems occur, and how to effectively deal with data slicing problems. 1. The concept of data slicing In C++ development, data slicing means that when a subclass object is assigned to a parent class object, the parent class object can only receive the part of the subclass object that corresponds to the data members of the parent class object. The newly added or modified data members in the subclass object are lost. This is the problem of data slicing.
