doocs/advanced-java

😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲:涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识

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Summary Information

Updated 15 minutes ago
Added to GitGenius on August 30th, 2026
Created on October 6th, 2018
Open Issues & Pull Requests: 0 (+0)
GitHub issues: Enabled
Number of forks: 19,165
Total Stargazers: 79,090 (+0)
Total Subscribers: 2,539 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 30.3 days
90th percentile: 33.6 days
Tracked items: 10

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Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (2)
  • help wanted (1)

Most active issues this week

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Detailed Description

Advanced-java is a knowledge base that covers core interview questions and answers for experienced Java backend developers across high concurrency, distributed systems, high availability, microservices, and large-scale data processing domains.

The project addresses the need for comprehensive, organized learning material on advanced Java backend concepts. It systematizes knowledge across multiple architectural domains including message queues, search engines, caching, and distributed systems. The material covers practical concerns like ensuring message queue reliability, preventing duplicate message consumption, optimizing search engine query performance, and designing distributed architectures. Rather than presenting isolated concepts, the project structures content around real-world problems engineers encounter when building scalable systems.

The project suits Java developers preparing for technical interviews at companies building distributed systems, as well as those seeking to deepen their understanding of backend architecture patterns. It provides structured coverage of technologies like Kafka, RabbitMQ, RocketMQ, Elasticsearch, Redis, Spring Cloud, and Dubbo. The material is organized by architectural concern rather than by technology, making it useful for developers who need to understand trade-offs between different approaches to solving high-concurrency and distributed system challenges.

Work in the project is dominated by enhancement-focused activity in the issue tracker, indicating ongoing expansion and refinement of the knowledge base content.