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Knowledge Points/Interview Questions Summary : (Must-see:+1:):
- Summary of Common Java Basics Knowledge Points & Interview Questions (Part 1)
- Summary of Common Java Basics Knowledge Points & Interview Questions (Part 2)
- Summary of Common Java Basics Knowledge Points & Interview Questions (Part 3)
Important Knowledge Points Explanation:
- Why is There Only Pass-by-Value in Java?
- Serialization in Java Explained
- Generics & Wildcards Explained
- Java Reflection Mechanism Explained
- Java Proxy Pattern Explained
- BigDecimal Explained
- Java Magic Class Unsafe Explained
- Java SPI Mechanism Explained
- Java Syntactic Sugar Explained
Knowledge Points/Interview Questions Summary:
- Summary of Common Java Collection Knowledge Points & Interview Questions (Part 1) (Must-see 👍)
- Summary of Common Java Collection Knowledge Points & Interview Questions (Part 2) (Must-see 👍)
- Summary of Java Container Usage Precautions
Source Code Analysis:
- ArrayList Core Source Code + Expansion Mechanism Analysis
- LinkedList Core Source Code Analysis
- HashMap Core Source Code + Underlying Data Structure Analysis
- ConcurrentHashMap Core Source Code + Underlying Data Structure Analysis
- LinkedHashMap Core Source Code Analysis
- CopyOnWriteArrayList Core Source Code Analysis
- ArrayBlockingQueue Core Source Code Analysis
- PriorityQueue Core Source Code Analysis
- DelayQueue Core Source Code Analysis
- IO Basic Knowledge Summary
- IO Design Patterns Summary
- IO Model Explanation
- NIO Core Knowledge Summary
Knowledge Points/Interview Questions Summary : (Must-read 👍)
- Common Java Concurrency Knowledge Points & Interview Questions Summary (Part 1)
- Common Java Concurrency Knowledge Points & Interview Questions Summary (Part 2)
- Common Java Concurrency Knowledge Points & Interview Questions Summary (Part 3)
Important Knowledge Points Explanation:
- Optimistic Lock and Pessimistic Lock Explanation
- CAS Explanation
- JMM (Java Memory Model) Explanation
- Thread Pool: Java Thread Pool Explanation, Java Thread Pool Best Practices
- ThreadLocal Explanation
- Java Concurrent Collections Summary
- Atomic Classes Summary
- AQS Explanation
- CompletableFuture Explanation
The JVM part mainly refers to the JVM Specification - Java 8 and Zhong Zhiming's book 《Deep Understanding of Java Virtual Machine (3rd Edition)》 (strongly recommend to read it several times!).
- Java Memory Area
- JVM Garbage Collection
- Class File Structure
- Class Loading Process
- Class Loader
- 【To Be Completed】Most Important JVM Parameters Summary (Half Translated)
- 【Bonus】Understand JVM in Plain Language
- JDK Monitoring and Troubleshooting Tools
- Java 8: Java 8 New Features Summary (Translated), Common Java 8 New Features Summary
- Java 9 New Features Overview
- Java 10 New Features Overview
- Java 11 New Features Overview
- Java 12 & 13 New Features Overview
- Java 14 & 15 New Features Overview
- Java 16 New Features Overview
- Java 17 New Features Overview
- Java 18 New Features Overview
- Java 19 New Features Overview
- Java 20 New Features Overview
- Summary of Common Operating System Knowledge Points & Interview Questions (Part 1)
- Summary of Common Operating System Knowledge Points & Interview Questions (Part 2)
- Linux:
Knowledge Points/Interview Questions Summary:
- Summary of Common Computer Network Knowledge Points & Interview Questions (Part 1)
- Summary of Common Computer Network Knowledge Points & Interview Questions (Part 2)
- Summary of Professor Xie Xiren's "Computer Network" Content (Supplementary)
Important Concept Explanations:
- Detailed Explanation of the OSI and TCP/IP Network Layer Models (Basics)
- Summary of Common Application Layer Protocols (Application Layer)
- HTTP vs HTTPS (Application Layer)
- HTTP 1.0 vs HTTP 1.1 (Application Layer)
- Common HTTP Status Codes (Application Layer)
- Detailed Explanation of the DNS Domain Name System (Application Layer)
- TCP Three-Way Handshake and Four-Way Termination (Transport Layer)
- TCP Transmission Reliability Guarantee (Transport Layer)
- Detailed Explanation of the ARP Protocol (Network Layer)
- Detailed Explanation of the NAT Protocol (Network Layer)
- Summary of Common Network Attack Means (Security)
Illustrated Data Structures:
- Linear Data Structures: Arrays, Linked Lists, Stacks, Queues
- Graphs
- Heaps
- Trees: Focus on Red-Black Trees, B-, B+, B* Trees, and LSM Trees
Other Commonly Used Data Structures:
The algorithm part is very important. If you don't know how to learn algorithms, you can refer to:
Summary of Common Algorithm Problems:
- Summary of Several Common String Algorithm Problems
- Summary of Several Common Linked List Algorithm Problems
- Part of the Coding Questions from the "Sword Refers to Offer"
- Ten Classic Sorting Algorithms
Additionally, GeeksforGeeks has a comprehensive summary of common algorithms.
Knowledge Points/Interview Questions Summary:
- MySQL Common Knowledge Points & Interview Questions Summary
- MySQL High-Performance Optimization Specification Recommendations
Important Knowledge Points:
- MySQL Index Details
- Detailed Explanation of MySQL Transaction Isolation Levels (with Pictures)
- Detailed Explanation of MySQL's Three Logs (binlog, redo log, and undo log)
- InnoDB Storage Engine's Implementation of MVCC
- How SQL Statements are Executed in MySQL
- Detailed Explanation of MySQL Query Cache
- MySQL Query Execution Plan Analysis
- Are MySQL Auto-Increment Primary Keys Always Continuous?
- Suggestions on Storing Time-Related Data in Databases
- Index Invalidation Caused by Implicit Conversion in MySQL
Knowledge Points/Interview Questions Summary (Must-Read 👍):
- Redis Common Knowledge Points & Interview Questions Summary (Part 1)
- Redis Common Knowledge Points & Interview Questions Summary (Part 2)
Important Knowledge Points:
- Detailed Explanation of 3 Common Cache Read and Write Strategies
- Can Redis Be Used as a Message Queue? How to Implement It?
- Detailed Explanation of Redis' 5 Basic Data Structures
- Detailed Explanation of Redis' 3 Special Data Structures
- Detailed Explanation of Redis Persistence Mechanism
- Detailed Explanation of Redis Memory Fragmentation
- Summary of Common Causes of Redis Blocking
- Detailed Explanation of Redis Cluster
- MongoDB Common Knowledge Points & Interview Questions Summary (Part 1)
- MongoDB Common Knowledge Points & Interview Questions Summary (Part 2)
Elasticsearch Common Interview Questions Summary (Paid)
Gradle Core Concepts Summary (Optional, Maven is still more widely used in China)
- A Brief Tutorial on RESTful API
- A Brief Tutorial on Software Engineering
- Code Naming Guide
- Code Refactoring Guide
- Unit Testing Guide
Knowledge Points/Interview Questions Summary:
- Summary of Common Spring Knowledge Points and Interview Questions
- Summary of Common SpringBoot Knowledge Points and Interview Questions
- Summary of Common Spring/SpringBoot Annotations
- SpringBoot Beginner's Guide
Detailed Explanation of Important Knowledge Points:
- Detailed Explanation of IoC & AOP (Quick Understanding)
- Detailed Explanation of Spring Transactions
- Detailed Explanation of Design Patterns in Spring
- Detailed Explanation of SpringBoot Auto-Configuration Principles
Summary of Common MyBatis Interview Questions
- Detailed Explanation of Authentication and Authorization Fundamentals
- Detailed Explanation of JWT Basics
- Analysis of Advantages and Disadvantages of JWT and Common Problem Solutions
- Detailed Explanation of SSO (Single Sign-On)
- Detailed Explanation of Permission System Design
- Summary of Common Encryption Algorithms
- Summary of Sensitive Word Filtering Solutions
- Summary of Data Desensitization Solutions
- Why Both Front-end and Back-end Need to Perform Data Validation
Detailed Explanation of Java Scheduled Tasks
Detailed Explanation of Web Real-time Message Pushing
- Interpretation of CAP Theory and BASE Theory
- Interpretation of Paxos Algorithm
- Interpretation of Raft Algorithm
- Detailed Explanation of Gossip Protocol
- Detailed Explanation of Consistent Hashing Algorithm
These two articles may have some overlapping content, it is recommended to read both.
- Summary of API Gateway Basics
- Summary of Common Spring Cloud Gateway Knowledge Points and Interview Questions
- Introduction to Distributed ID and Summary of Implementation Solutions
- Design Guide for Distributed ID
Summary of Common Distributed Transaction Knowledge Points and Interview Questions
Summary of Common Distributed Configuration Center Knowledge Points and Interview Questions
- Database Read-Write Separation and Database Sharding
- Data Separation of Cold and Hot Data
- Summary of Common SQL Optimization Methods
- Introduction to Deep Pagination and Optimization Suggestions
Summary of Common Load Balancing Knowledge Points and Interview Questions
Summary of Common CDN (Content Delivery Network) Knowledge Points and Interview Questions
- Summary of Message Queue Basic Knowledge
- Summary of Common Disruptor Knowledge Points and Interview Questions
- Summary of Common RabbitMQ Knowledge Points and Interview Questions
- Summary of Common RocketMQ Knowledge Points and Interview Questions
- Summary of Common Kafka Knowledge Points and Interview Questions
Guide to High Availability System Design
Detailed Explanation of Redundancy Design
Detailed Explanation of Service Rate Limiting
Detailed Explanation of Fallback & Circuit Breaker
Detailed Explanation of Timeout & Retry
Deploying multiple instances of the same service to avoid single point of failure.
Disaster Recovery = Disaster Tolerance + Backup.
- Backup: Backing up all important data generated by the system multiple times.
- Disaster Tolerance: Establishing two completely identical systems in different locations. When the system in one location suddenly fails, the entire application system can be switched to the other one, so that the system can continue to provide services normally.
Active-Active Deployment describes deploying services in different locations and simultaneously providing services externally. The main difference from traditional disaster recovery design is the "active-active" nature, i.e., all sites are simultaneously providing external services. Active-active deployment is to cope with unexpected situations such as fires, earthquakes and other natural or man-made disasters.
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