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This article introduces the relevant knowledge of "what are the technical points that Java programmers need to break through". In the operation of actual cases, many people will encounter such a dilemma. Next, 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!

First, source code analysis

Source code analysis is a kind of critical knowledge, mastered this critical knowledge, can remain unchanged, source code analysis for many people is very boring, difficult to understand.

Source code reading, I think there are three core points: technical foundation + strong curiosity + patience.

I think it is the core driving force of reading source code. I see that the attitude of most programmers towards learning is basically at these levels (very extreme):

1. Just focus on the project itself and baidu if you don't understand.

2. In addition to doing a good job in the project, I will also read the technical books related to the project and read wikipedia.

3, in addition to reading books related to the project, but also read IT industry books, such as learning Java, but also to understand functional languages, such as LISP.

4. Find some open source projects, try a large number of third-party frameworks, and write demo.

5. Read the basic framework, J2EE specification and Debug server kernel.

Most programs are the first, to the fifth requires not only a strong interest, but also courage: can I read it? Actually, you can read it.

Patience is really important. Because you rarely see instructional articles or books to read the source code, and no one asks or advises you to read it. You often get stuck in the process of reading, and a card owner may be trapped in a labyrinth. At this point, what you need to do may be a temporary break, and then look at it from the outside: such as the API structure, the design of the framework.

The following figure is a summary of the most important source knowledge points that I should learn at present:

Second, distributed architecture

Distributed system is an ancient and broad topic, and in recent years, because of the rise of the concept of "big data", it has coruscated a new youth and vitality. In addition, distributed system is also a subject with equal emphasis on theoretical models and engineering techniques. Compared with the research direction of machine learning, students who learn distributed systems often feel that "getting started is easy, but it is difficult to go deep into it." Indeed, learning distributed systems requires little mathematical knowledge.

Distributed system is a complex and broad research field, learning one or two online courses and reading one or two books may not completely cover all of its content.

Generally speaking, the task of a distributed system is to combine and connect multiple machines organically so that they can work together to complete a task, which can be either a computing task or a storage task. If we have to classify the research on distributed systems in recent years, I personally think it can be divided into three parts:

1. Distributed storage system

two。 Distributed computing system

3. Distributed management system

The following figure is a summary of the most mainstream distributed technologies in recent years:

III. Micro-services

At present, micro-service is very popular, and everyone claims to be using micro-service architecture, but what exactly is micro-service architecture? Is the micro-service architecture a trend? We all lack a clear understanding of these problems.

In order to solve various problems under the single architecture, the micro-service architecture arises at the historic moment. Instead of building a bloated monster that is difficult to tame, it is better to break up the service as soon as possible. The core idea of micro-service is to split and decouple services to reduce complexity. Micro-service emphasizes the reasonable disassembly of functions, ensures a single function of each service as far as possible, and defines the role according to the principle of single responsibility (Single Responsibility Principle). Make each service light, so as to be flexible and reusable, and it can also be deployed separately and expanded horizontally according to the resource needs of each service.

The following figure shows me the knowledge points that I need to learn from microservices:

IV. Performance optimization

Whether it's dealing with front-end interviews or improving the product experience, performance optimization is an unavoidable topic.

The purpose of optimization is to make users feel "fast", so how to make users feel fast?

The loading speed is really fast. The user opens the input URL and presses enter to see the page immediately.

The loading speed is not faster, but users feel that your site is fast.

Performance optimization depends on a number of factors, including garbage collection, virtual machines, and underlying operating system (OS) settings. There are several tools available for developers to analyze and optimize, and you can learn and use them by reading Java Tools for Source Code Optimization and Analysis.

It is important to understand that no two applications can use the same optimization approach, and there is no perfect reference path for optimizing java applications. Use best practices and insist on dealing with performance optimization in an appropriate way. To achieve the truly highest performance optimization, as a Java developer, you need to have a correct understanding of the Java virtual machine (JVM) and the underlying operating system.

The following figure is a summary of several major knowledge systems that I should learn and understand about performance optimization:

V. Engineering of Java

If you want to do good work, you must first sharpen its tools, whether it is rookies or experienced developers, you need to choose good tools first. Improve development efficiency and team collaboration efficiency. Give yourself more time to think.

This is the end of the content of "what are the technical points that Java programmers need to break through". Thank you for 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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