In -depth study of the source code and design principle of Atlassian Concurrency Utilities framework

In -depth study of the source code and design principle of Atlassian Concurrency Utilities framework Introduction: Atlassian Concurrent Utilities (Atlassian concurrent tool) is an open source framework for writing high -performance, high concurrent Java applications.It provides a set of powerful tools and classes to simplify multi -threaded programming and help developers design more reliable and efficient concurrent code.This article will study the source code and design principles of Atlassian Concurrency Utilities framework, and provide some Java code examples. Introduction to Atlassian Concurrency Utilities Atlassian Concurrency Utilities framework was developed by ATLASSIAN, a well -known technology company in Australia to help Java developers deal with complex co -issuing problems.This framework provides a set of easy -to -use and efficient tools, simplifies the complexity of multi -threaded programming, and provides some advanced features to optimize concurrent performance. Second, the core component of Atlassian Concurrency Utilities 1. Striped Striver is one of the core components of Atlassian Concurrent Utilities.It provides the function of slicing management of limited resources (such as locks).Using Striped, developers can divide limited resources into multiple fragments, thereby reducing the competition of locks and improving concurrency performance.Below is a simple example of using Striped: Striped<Lock> striped = Striped.lock(10); Lock lock = striped.get(1); lock.lock(); try { // The code block you need to protect } finally { lock.unlock(); } 2. RateLimiter Ratelimiter is another important component to limit the rate of code execution.It is based on the token algorithm, which can control the number of requests per second, and can flexibly adjust the rate limit.Below is an example using Ratelimiter: RateLimiter limiter = RateLimiter.create(10); while (true) { limiter.acquire (); // Get token, control rate // Execute code logic } Third, the design principle of Atlassian Concurrency Utilities The design principle of the design of Atlassian Concurrency Utilities mainly includes the following aspects: 1. Size management: Through the Striped component, the limited resources are managed to reduce the competition in locks and improve the concurrent performance. 2. Ejaculation: Some optimization strategies for high -concurrency scenes are adopted inside the framework, such as adaptive strategies to ensure that the telescope is scalable under different loads. 3. High -efficiency performance: Some efficient algorithms and data structures are used inside the framework, such as token barrel algorithms and bit operations to improve performance and efficiency. 4. Missing tolerance: The framework provides some mechanisms to deal with abnormalities and errors to ensure the reliability and robustness of the concurrent code. Fourth, Atlassian Concurrency Utilities advantage Atlassian Concurrency Utilities framework has the following advantages: 1. Provide an easy -to -use API and tools to reduce the difficulty of learning and use of multi -threaded programming. 2. High -performance and scalability, perform well under high concurrency load. 3. Provide rich functions and characteristics, such as Striped's management of limited resources and Ratelimiter's control of code execution rates. 4. It is easy to integrate into the existing Java project without large -scale reconstruction. 5. Conclusion Atlassian Concurrency Utilities framework is a powerful and easy -to -use Java concurrent programming framework.Through in -depth study of its source code and design principles, developers can better understand their internal working principles, and use the rich functions provided by it to write high -performance and high -combined Java applications. The source code and more example code can be found in the official documentation of Atlassian Concurrent Utilities. Developers can learn and master the use of the framework by reading documents and source code.