Slow hands! The interview knowledge literacy conducted by Tsinghua Sweeper (high concurrency, distributed, microservice, etc.) is recommended for collection.

 important

As we all know, the living environment of Java developers is quite different from the past. Taking the development of the IT industry, technical talents in the IT industry were scarce more than ten years ago. The initial recruitment quotation for programmers, as long as you can click " Holle world", know a little bit of technology, can make something, and then you can enter a position with a monthly salary of over 10,000.

By 2020 this year, junior talents are no longer scarce in recent years. In the "IT junior talent recruitment market", in addition to new entrants each year, there are also people who have not made progress in technology after entering the industry within a few years or more. These people have been fired or changed jobs to find jobs, and they are also looking for "junior IT programmers" post……

Judging from the recruitment information of Internet giant Ali, first of all, there are certain requirements for work experience. In my opinion, the length of work depends mainly on your skills. If your technology is good, then you can package yourself; secondly, for Java programmers, technology is the most practical, even if your work experience does not match the recruitment requirements, but if the technical mastery matches it, Ali will not "let go" you. Below is the recruitment information I saw on the Ali recruitment official website for your reference.

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

As can be seen from the red part of the figure, as a Java programmer with more than three years of development experience, in addition to a solid foundation, you also need to master middleware, distributed technology, high concurrency, microservices and other technologies. There is rarely a set of detailed study notes on the system. The editor also spent a lot of energy to compile this set of "Internet Java Engineers Advanced Knowledge" notes. Not much to say, direct delivery!

Note content

Since there is so much content, the editor directly shared the catalog in the form of screenshots . Friends who need the complete content, please search below for free!

High concurrent architecture

  • message queue
  • search engine
  • Cache
  • Sub-database and sub-table
  • Read and write separation
  • Design a highly concurrent system

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Part of the High Concurrency Architecture

Cache:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

Redis high availability:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

High concurrent system design:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Distributed Systems

Distributed business system is to split a large system originally developed with Java into multiple subsystems , and multiple subsystems call each other to form a large system as a whole. Suppose you originally made an OA system, which contains a permission module, an employee module, a leave module, and a financial module. A project contains a bunch of modules. The modules will call each other and be deployed on one machine. Now if you disassemble this system, there are 4 systems and 4 projects, namely the authorization system, the employee system, the leave system, and the financial system, which are deployed on 4 machines. A request comes and completes this request. This employee system calls the authorization system, calls the leave system, and calls the financial system. The four systems have completed part of the work. After the last four systems are done, it is considered that the request has been completed. Up.

  • System split
  • Distributed Service Framework
  • Distributed lock
  • Distributed transaction
  • Distributed session

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Part of the distributed system

Frequently Asked Questions of Interview:

  • Why is the system split?
  • Tell me about the working principle of Dubbo? Can the registration center continue to communicate after hanging up?
  • What serialization protocols does Dubbo support? Talk about Hessian's data structure? Does PB know? Why is the efficiency of PB the highest?
  • How to design distributed locks using Redis? Is it okay to use zk to design distributed locks? Which of the two implementations of distributed locks is more efficient?
  • Do you understand distributed transactions? How do you solve the distributed transaction problem? What should I do if there is a network failure in TCC? How to ensure the consistency of XA?

Distributed service framework:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

Distributed transaction:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Highly available architecture

  • Hystrix introduction
  • Highly available system
  • Limiting
  • Fuse
  • Downgrade

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

High-availability architecture part

Hystrix introduction:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Fuse:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Microservice architecture

  • Microservice introduction and detailed explanation
  • Spring Cloud microservice architecture

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Part of the content display

Atomic manipulation:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Microservice governance strategy:

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Mass data processing

  • How to find the same URL from a large number of URLs?
  • How to find high-frequency words from large amounts of data?
  • How to find the IP that visits Baidu website the most on a certain day?
  • How to find non-repeated integers in large amounts of data?
  • How to judge whether a number exists in a large amount of data?
  • How to query the most popular query string?
  • How to count the number of different phone numbers?
  • How to find the median from 500 million numbers?
  • How to sort by query frequency?
  • How to find the top 500 numbers?

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Part of the content display

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

 

At last

There are actually many great gods on Zhihu. You can find some technical content and career plans shared by the great gods. This year's environment is not good, so if you don't want to be eliminated or stay in the junior programmer stage forever, you need to keep learning!

Git star 46k Java engineer knowledge literacy (high concurrency, distributed, microservices, etc.)

Friends who need the full version of the learning materials, please [forward + follow], privately message the keyword "advanced" to get a free download!

 

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Origin blog.csdn.net/m0_46757769/article/details/108812206