Preface
In the era of high concurrency, Netty, Redis, and ZooKeeper are essential tools in the era of high concurrency.
According to relevant data, high-concurrency interview questions have now spread to almost the entire industry related to Java projects. The technology stack necessary for work or development of Java projects: distributed Java framework, Redis cache, distributed search ElasticSearch, distributed coordination ZooKeeper, message queue Kafka, high-performance communication framework Netty These are already what contemporary programmers must master thing.
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The first part: the foundation of high concurrency
A clear and easy-to-understand analysis of the underlying principles of high-concurrency IO, a detailed explanation of the Reactor high-performance mode, and a graphical introduction to the Java asynchronous callback mode.
Essential skills in the era of high concurrency
High concurrency tool Redis
Netty, Redis, ZooKeeper practice plan
The underlying principle of high concurrent IO
Four main IO models
Detailed explanation of Java NIO communication basics
Explain the important usage of the NIO Buffer class in detail
The famous Reactor reactor model
Multi-threaded Reactor reactor mode
Future asynchronous callback mode in the foundation of concurrency
The second part: Netty principle and actual combat
Mainly introduce the high-performance communication framework Netty, the important components of Netty, the actual design and module realization of single IM.
Netty principle and foundation
Explain the Bootstrap launcher class in detail
Decoder and Encoder important components
Netty built-in Decoder out of the box
JSON and ProtoBuf serialization
Detailed explanation of sticking and unpacking
Development practice of a single IM system based on Netty
Practical case of point-to-point single chat
Part 3: Improve the ability to design and develop highly concurrent and scalable systems
Detailed instructions on the use of ZooKeeper, Curator API1, Redis, and Jedis API
ZooKeeper distributed coordination
Use ZooKeeper for distributed storage
Distributed cache Redis
Redis data type
Spring's Redis cache annotation
Development practice of billion-level high-concurrency IM architecture
Practical case of distributed IM naming service
Practical case of distributed online user statistics
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