What is Spring?
Spring is a framework that supports the rapid development of Java EE applications. It provides a series of underlying containers and infrastructure, and can be seamlessly integrated with a large number of commonly used open source frameworks, which can be said to be a must for the development of Java EE applications.
Spring was first proposed by Rod Johnson as a lightweight framework to replace EJB in his " Expert One-on-One J2EE Development without EJB " book. Then this buddy began to concentrate on the development of this basic framework and named it Spring Framework.
As Spring became more and more popular, a series of projects based on Spring Framework, such as Spring Boot, Spring Cloud, Spring Data, and Spring Security, were born on the basis of Spring Framework. In this chapter, we only introduce the Spring Framework, the core Spring framework. In subsequent chapters, we will also cover other frameworks such as Spring Boot and Spring Cloud.
Spring Framework
Spring Framework mainly includes several modules:
- Containers that support IoC and AOP;
- Support JDBC and ORM data access module;
- Modules that support declarative transactions;
- Support MVC development based on Servlet;
- Support Web development based on Reactive;
- And integrate JMS, JavaMail, JMX, cache and other modules.
Analysis of open source framework source code
The first stage
- Persistence layer framework design and implementation and MyBatis source code analysis
- IoC container design and implementation and Spring-Core source code analysis
- MVC framework design and implementation and SpringMVC source code analysis
- General persistence layer specification and Spring Data source code analysis
- Convention is better than configuration design paradigm and Spring Boot source code analysis
- Security framework design actual combat and Spring Security source code analysis
- Responsive programming design combat and SpringWebFlux source code analysis
Distributed architecture design & in-depth analysis of microservices
The third phase
- Distributed theory and architecture design
- Distributed service governance
- High-performance RPC framework Apache Dubbo
- Microservice framework Spring Cloud
Advanced Distributed Message Service Middleware
Sixth stage
- From producer consumer model to message middleware
- Open source messaging middleware RabbitMQ
- Apache messaging engine RocketMQ
- Kafka, a high-throughput messaging middleware
Advanced Distributed Search Engine
Seventh stage
- Apache Full-Text Search Engine Toolkit Lucene
- Enterprise Search Application Server Solr
- ElasticSearch, a distributed search and analysis engine
- Mass log analysis platform Elastic Stack (ELK)
Eighth stage
- Container virtualization technology
- CI / CD 、 DevOps
- Service quality governance
Necessary for entering a large factory-in-depth guidance for job interviews
Eleventh stage
- Data Structures and Algorithms
- Meet the interview: special ability assault
- How to create an irresistible resume
- How to give full play to your due strength in the interview
Distributed architecture performance tuning
second stage
- Tomcat in-depth analysis and performance tuning
- Nginx in-depth analysis and performance tuning
- Potential problems and solutions in Cluster mode
- Web service comprehensive solution
- High concurrency programming core
- JVM analysis and tuning
- Linux performance monitoring and tuning
- Web application security and acceleration
Advanced large-scale distributed storage system architecture
The fourth stage
- MySQL massive data storage and optimization
- Distributed document storage unicorn MongoDB
- Knowledge graph storage database Neo4j
- FastDFS, a lightweight distributed file system
- Alibaba Cloud OSS cloud storage platform
The fifth stage
- High-performance distributed cache Redis
- Google's open source Java tool library Guava Cache
- Netflix open source distributed caching system EVCache
- Alibaba open source KV data storage system Tair
- SSD-Based High Performance Enterprise KV Storage Database Aerospike
- High-availability data distribution and cluster platform Hazelcast
Actual combat and business solutions for large-scale Internet projects (1)
Ninth stage
- Online Education Practical Project
- Core solution
Actual combat and business solutions for large-scale Internet projects (2)
Tenth stage
- Large-scale e-commerce actual combat project
- Core solution
Advanced Big Data Expansion
Twelfth stage
- Hadoop Distributed File System HDFS
- Massive columnar non-relational database HBase
- Flink, a new generation of real-time streaming computing engine
Link: https://pan.baidu.com/s/1y4PcAIwc4RtNPFqyvuYk6g
Extraction code: hk8v
Let's study hard together, come on.