I don’t know if you feel this way during the interview: interviewers usually have a comprehensive understanding of the interviewer’s knowledge structure in just two hours. It is difficult for the interviewer to get muddled and unable to directly address the essence of the question when answering questions. Fully express yourself, and ultimately affect the interview results. In response to this situation, an Alibaba senior architect summarized the necessary knowledge notes manuals such as microservices, network programming, distributed storage and distributed computing that are common in Java programmer interviews, including Spring principles and applications, and Spring Cloud principles. And application, Netty network programming principle and application, ZooKeeper principle and application, Kafka principle and application, Hadoop principle and application, HBase principle and application, Cassandra principle and application, ElasticSearch principle and application, Spark principle and application, Flink principle and application!

Due to the limited length of the article, only part of the content can be shown for everyone. The free way to obtain the full version of the notes is at the end of the article!

Chapter 1 Spring Principles and Applications

Chapter 1 explains Spring principles and applications, involving Spring principles, Spring annotations, Spring IoC principles, Spring AOP principles, Spring MVC principles, transactions, MyBatis caching, and more.

Chapter 2 Principles and Applications of Spring Cloud

Chapter 2 explains the principles and applications of Spring Cloud, including Spring Boot, Spring Cloud Config, Eureka, Consul, Hystrix, Zuul and Spring Cloud link monitoring.

Chapter 3 Principles and Applications of Netty Network Programming

Chapter 3 explains the principles and applications of Netty network programming, involving the Reactor thread model, Netty architecture, Netty features, and Netty usage.

Chapter 4 The Principle and Application of ZooKeeper

Chapter 4 explains the principles and applications of ZooKeeper, covering the principles of ZooKeeper, ZooKeeper election mechanism, ZooKeeper data model, and ZooKeeper application scenarios.

Chapter 5 Kafka Principle and Application

Chapter 5 explains the principles and applications of Kafka, involving Kafka principles, Kafka composition, Kafka data storage design, Kafka producer concurrency design, Kafka consumer concurrency design, and Kafka installation and application.

Chapter 6 Hadoop Principles and Applications

Chapter 6 explains the principles and applications of Hadoop, involving HDFS, MapReduce, YARN, etc.

Chapter 7 HBase Principles and Applications

Chapter 7 explains the principles and applications of HBase, involving columnar storage, HBase columnar storage data model, HBase architecture composition, and HBase data read and write processes.

Chapter 8 Cassandra Principle and Application

Chapter 8 explains the principles and applications of Cassandra, involving the Cassandra data model, Gossip protocol, NWR theory, consistent Hash, Cassandra data copy strategy and read-write mechanism.

Chapter 9 Principles and Applications of ElasticSearch

Chapter 9 explains the principle and application of ElasticSearch, involving the ElasticSearch data model, ElasticSearch distributed architecture, ElasticSearch data read and write principles, and segment merging.

Chapter 10 Spark Principle and Application

Chapter 10 explains the principle and application of Spark, involving the characteristics of Spark, the composition of Spark modules, the operating mechanism of Spark, and the principle and use of Spark RDD, Spark Streaming, Spark SQL, DataFrame, DataSet, and Spark Structured Streaming.

Chapter 11 Flink Principle and Application

Chapter 11 explains the principles and applications of Flink, involving Flink core concepts, Flink architecture, Flink event-driven model, Flink data analysis applications, and Flink state-based memory computing.