Another explosion! Ali's first concurrent programming fairy notes, Github has 92K stars

Preface

The development of hardware has been extremely rapid for a long time. In the context of multi-core CPUs, the trend of concurrent programming has been spawned. Through concurrent programming, the computing power of multi-core CPUs can be maximized and performance improved . In the face of complex business models, parallel programs are more suitable for business needs than serial programs, and concurrent programming is more suitable for this business split. It is precisely because of these advantages that multi-threading technology can be valued, and this technology is also something a CS learner should master.

But this technology always feels unpredictable to the newcomers, and because of the unknown, no good learning materials can be found. In line with the principle that good things are to be shared , so the Internet Lei Feng (small editor me) collected a complete set of materials for everyone to learn, suitable for Java multi-threaded developers, Java concurrent developers, system architecture Teachers, big data developers, and other people interested in multi-threading technology.

These documents cover processes, threads, concurrency, parallelism and Java concurrency tools, concurrency problems and solutions on the Java platform, as well as some other areas Concurrency.

Friends in need can see how to get them in the picture!

Concurrent programming

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

  • Process and thread

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

  • Java thread

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

  • Shared model

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Principles

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Mode articles

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Application

effectiveness

  • Use multithreading to make full use of CPU

limit

  • Limit the use of CPU
  • Limit the use of shared resources
  • Current limit per unit time

Mutually exclusive

  • Pessimistic mutual exclusion
  • Optimistic value

Synchronous and asynchronous

  • Need to wait for the result
  • No need to wait for results

Cache

  • Cache update strategy
  • Read-write locks for consistent caching

Divide and conquer

  • Case-word count
  • Case-Sum

Overall planning

  • Case-Boiling water to make tea

timing

  • Regular execution

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

 

Java multithreaded concurrent programming

Catalog overview

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Since the length of the article is already very long, this document will only show the catalogue for everyone

Chapter 1 explains the basics of Java multithreading, including the use of the core API of the Thread class.

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Chapter 2 explains the control of concurrent access in multiple threads

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Chapter 3 introduces the communication and interaction between threads.

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Chapter 4 explains the synchronized keyword, which is more troublesome to use, so the Lock object is provided in Java 5 to better realize the synchronization processing during concurrent access, including related technical points such as read-write locks.

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

Chapter 5 explains the Timer class, its internal implementation is the use of multithreading technology. The scheduled task execution of the timer is a very important technical point, including in-depth use during Android development, so it will be explained in detail for readers. The singleton pattern explained in Chapter 6. Chapter 7, Checking for Leaks

Thread learning is not as simple as JDBC-, the learning curve is steep, there are many detours and "pits". To learn these hotspot technologies, Java multithreading technology is inevitable. I believe this document can lead you to win this "technical highland".

At the end of the article, let’s take a look at these 19 real interview questions from major manufacturers of concurrent programming for everyone to check and fill in the vacancies. How many can you answer? If you don’t, it’s okay. Xiaobian also prepared a PDF of interview topics with answers for everyone.

Another explosion!  Ali's first concurrent programming fairy notes, Github has 92K stars

 

  • Question 1: What is thread safety?
  • Question 2: What is the visibility issue of shared variables?
  • Question 3: Atomicity?
  • Question 4: Introduction to CAS?
  • Question 5: What is a reentrant lock?
  • Question 6: Synchronized keyword?
  • Question 7: Introduction to ReentrantReadWriteLock?
  • Question eight: volatile variables?
  • Question 9: Optimistic lock and pessimistic lock?
  • Question ten: Exclusive lock and shared lock?
  • Question ten -: fair lock and unfair lock?
  • Question 12: Introduction to AbstractQueuedSynchronizer?
  • Question 13: How does CountDownLatch work?
  • Question 14: ReentrantLock exclusive lock principle?
  • Question 15: ReentrantReadWriteLock principle?
  • Question 16: What is the reordering problem?
  • Question 17: What is an interrupt?
  • Question 18: How does FutureTask work?
  • Question 19: A brief description of the principle of ConcurrentHashMap?

Write at the end

In recent years, concurrent programming has gradually become a necessary skill. The beginning of the article also said that it is mainly hardware drivers and the rapid development of the domestic Internet industry. Traditional middleware and databases can no longer protect us from wind and rain, but Became the bottleneck. I have to say that if you learn this thing well, you can get a salary increase (dog head). At present, the information on the market is also diverse, and there is very little systematic information. If any friends are interested in the information shown above

 

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Origin blog.csdn.net/qq_46388795/article/details/108750979