Java API is one of the most widely used programming languages, which can help developers quickly build cross-platform applications. However, thread safety issues are one of the very common problems during Java API development. Thread safety means that when multiple threads access a shared resource at the same time, incorrect data concurrency problems will not occur.
In Java API development, there are many ways to achieve thread safety processing. We can ensure thread safety by locking shared resources, using synchronization methods, or using the volatile keyword. The specific implementation of these methods will be introduced below.
1. Locking shared resources
Locking shared resources is the most commonly used thread-safe processing method in Java API development. It mainly uses the synchronized keyword to ensure that only one thread can be accessed at the same time. A thread accesses a shared resource. There are two specific implementation methods:
(1) Lock the entire method
The implementation method of using the synchronized keyword to modify the entire method is very simple. You only need to add the synchronized keyword before the method signature. Can. As shown below:
public synchronized void method(){
// Code blocks that need to be synchronized
}
This method can ensure thread safety well, but it The disadvantage is that the efficiency is low. When multiple threads access it at the same time, only one thread can enter the method body, and other threads need to wait, thus reducing the concurrency performance of the program.
(2) Lock shared resources
In addition to locking the entire method, we can also achieve thread safety by locking shared resources. The specific implementation is to use the synchronized keyword in the code block that needs to be synchronized to lock the shared resource. As shown below:
public void method(){
synchronized (object){
// 需要同步的代碼塊
}
}
This method is relatively flexible, only When multiple threads need to access shared resources at the same time, synchronization is required, thereby improving the concurrency performance of the program.
2. Use synchronization method
The synchronization method is similar to locking the entire method. You only need to add the synchronized keyword before the method signature. As shown below:
public synchronized void method(){
// Code block that needs to be synchronized
}
The main advantage of the synchronized method is that it can synchronize locks and methods Bound together, this means that the synchronization lock is automatically released, thus avoiding deadlock problems. But its disadvantages are similar to locking the entire method, which is less efficient.
3. Use the volatile keyword
Using the volatile keyword can ensure the visibility of shared variables and ensure thread safety even when interacting between multiple threads. As shown below:
public volatile int number = 0;
When a variable is marked as volatile, each modification will be forced to be flushed to the main memory, and the latest will be re-obtained the next time it is accessed. value. Due to this mechanism, volatile can ensure visibility between multiple threads and optimize program performance.
4. Use thread pool
In Java API development, using thread pool is also a very common thread safety method. The thread pool can avoid the overhead of creating threads by creating threads in advance and then assign tasks to these threads, and can control the number of threads executing concurrently, thereby reducing the waste of resources. The thread pool can be created using the ThreadPoolExecutor class provided by the JDK, as shown below:
ThreadPoolExecutor executor = new ThreadPoolExecutor(5, 10, 5000, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<>(100));
Among them, the parameters respectively represent the number of core thread pools, the maximum number of thread pools, allowed thread idle time, waiting queue and rejection policy. When using a thread pool, we can control how tasks are executed through task queues and rejection policies to ensure thread safety.
Summary
Thread safety processing in Java API development is a very important issue. Different application scenarios require different thread safety processing methods. This article introduces four commonly used methods, among which locking shared resources is the most commonly used method, but it will have a greater impact on program efficiency. Therefore, in practical applications, we should choose the most appropriate thread safety processing method according to specific scenarios.
The above is the detailed content of Thread safety in Java API development. 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

This AI-assisted programming tool has unearthed a large number of useful AI-assisted programming tools in this stage of rapid AI development. AI-assisted programming tools can improve development efficiency, improve code quality, and reduce bug rates. They are important assistants in the modern software development process. Today Dayao will share with you 4 AI-assisted programming tools (and all support C# language). I hope it will be helpful to everyone. https://github.com/YSGStudyHards/DotNetGuide1.GitHubCopilotGitHubCopilot is an AI coding assistant that helps you write code faster and with less effort, so you can focus more on problem solving and collaboration. Git

On March 3, 2022, less than a month after the birth of the world's first AI programmer Devin, the NLP team of Princeton University developed an open source AI programmer SWE-agent. It leverages the GPT-4 model to automatically resolve issues in GitHub repositories. SWE-agent's performance on the SWE-bench test set is similar to Devin, taking an average of 93 seconds and solving 12.29% of the problems. By interacting with a dedicated terminal, SWE-agent can open and search file contents, use automatic syntax checking, edit specific lines, and write and execute tests. (Note: The above content is a slight adjustment of the original content, but the key information in the original text is retained and does not exceed the specified word limit.) SWE-A

Function parameter passing methods and thread safety: Value passing: Create a copy of the parameter without affecting the original value, which is usually thread safe. Pass by reference: Passing the address, allowing modification of the original value, usually not thread-safe. Pointer passing: Passing a pointer to an address is similar to passing by reference and is usually not thread-safe. In multi-threaded programs, reference and pointer passing should be used with caution, and measures should be taken to prevent data races.

Go language development mobile application tutorial As the mobile application market continues to boom, more and more developers are beginning to explore how to use Go language to develop mobile applications. As a simple and efficient programming language, Go language has also shown strong potential in mobile application development. This article will introduce in detail how to use Go language to develop mobile applications, and attach specific code examples to help readers get started quickly and start developing their own mobile applications. 1. Preparation Before starting, we need to prepare the development environment and tools. head

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.

As a fast and efficient programming language, Go language is widely popular in the field of back-end development. However, few people associate Go language with front-end development. In fact, using Go language for front-end development can not only improve efficiency, but also bring new horizons to developers. This article will explore the possibility of using the Go language for front-end development and provide specific code examples to help readers better understand this area. In traditional front-end development, JavaScript, HTML, and CSS are often used to build user interfaces

Thread-safe memory management in C++ ensures data integrity by ensuring that no data corruption or race conditions occur when multiple threads access shared data simultaneously. Key Takeaway: Implement thread-safe dynamic memory allocation using smart pointers such as std::shared_ptr and std::unique_ptr. Use a mutex (such as std::mutex) to protect shared data from simultaneous access by multiple threads. Practical cases use shared data and multi-thread counters to demonstrate the application of thread-safe memory management.

Android development is a busy and exciting job, and choosing a suitable Linux distribution for development is particularly important. Among the many Linux distributions, which one is most suitable for Android development? This article will explore this issue from several aspects and give specific code examples. First, let’s take a look at several currently popular Linux distributions: Ubuntu, Fedora, Debian, CentOS, etc. They all have their own advantages and characteristics.
