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2025-02-23 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article introduces the relevant knowledge of "what are the principles and skills of Java concurrent programming". Many people will encounter such a dilemma in the operation of actual cases, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!
Why do you need concurrent programming?
Concurrent programming helps us separate what to do and when to do it, which can significantly improve the throughput and organization of the application. Not only that, of course, there are often multiple reasons when it comes to concurrent programming. For example, business requirements, performance optimization needs, can simplify task scheduling, parallel programs have advantages in multi-core CPU.
Of course, there will be some precautions during this period, and there will be some misunderstandings about concurrent programming, for example, concurrency can not always improve performance, and it can significantly improve program performance when there is a lot of free time in CPU, but a large number of threads, frequent scheduling switching will reduce the performance of the system.
Therefore, we should objectively understand concurrent programming. For example, writing concurrent programs is bound to add extra overhead to the code; correct concurrency is very complex, even for simple problems; defects in concurrency are not easy to find because they are not easy to be rediscovered; concurrency often requires fundamental changes to the design strategy.
Principles and skills of concurrent programming
1. The principle of single responsibility. Separate concurrent related code from other code.
2. Limit the scope of data. Two threads may interfere with each other when they modify the same field of a shared object, resulting in unexpected behavior. One solution is to construct critical sections, but the number of critical sections must be limited.
3. Use data copies. Data replicas are a good way to avoid sharing data, and replicated objects are only treated as read-only.
4. Threads should be as independent as possible. Let threads exist in their own world and do not share data with other threads.
That's all for "what are the principles and techniques of Java concurrent programming?" Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!
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