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Title: GitHub - moviecode/Java-Interview-Advanced: 中华石杉--互联网Java进阶面试训练营 · GitHub

Open Graph Title: GitHub - moviecode/Java-Interview-Advanced: 中华石杉--互联网Java进阶面试训练营

X Title: GitHub - moviecode/Java-Interview-Advanced: 中华石杉--互联网Java进阶面试训练营

Description: 中华石杉--互联网Java进阶面试训练营. Contribute to moviecode/Java-Interview-Advanced development by creating an account on GitHub.

Open Graph Description: 中华石杉--互联网Java进阶面试训练营. Contribute to moviecode/Java-Interview-Advanced development by creating an account on GitHub.

X Description: 中华石杉--互联网Java进阶面试训练营. Contribute to moviecode/Java-Interview-Advanced development by creating an account on GitHub.

Opengraph URL: https://github.com/moviecode/Java-Interview-Advanced

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https://github.com/moviecode/Java-Interview-Advanced/tree/master#中华石杉--互联网java进阶面试训练营
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https://github.com/moviecode/Java-Interview-Advanced/tree/master#内容说明
https://github.com/moviecode/Java-Interview-Advanced/tree/master#公众号狸猫技术窝
https://github.com/moviecode/Java-Interview-Advanced/blob/master/images/limaojishuwo.jpeg
https://github.com/moviecode/Java-Interview-Advanced/tree/master#目录
互联网Java面试指南https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E9%9D%A2%E8%AF%95%E6%8C%87%E5%8D%97
备战面试https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%A4%87%E6%88%98%E9%9D%A2%E8%AF%95
常见面试题总结https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%B8%B8%E8%A7%81%E9%9D%A2%E8%AF%95%E9%A2%98%E6%80%BB%E7%BB%93
面经https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E9%9D%A2%E7%BB%8F
互联网Java面试突击第一季https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E9%9D%A2%E8%AF%95%E7%AA%81%E5%87%BB%E7%AC%AC%E4%B8%80%E5%AD%A3
分布式消息队列https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%B8%83%E5%BC%8F%E6%B6%88%E6%81%AF%E9%98%9F%E5%88%97
分布式搜索引擎https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E6%90%9C%E7%B4%A2%E5%BC%95%E6%93%8E
分布式缓存https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%B8%83%E5%BC%8F%E7%BC%93%E5%AD%98
分库分表https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%BA%93%E5%88%86%E8%A1%A8
分布式锁https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%B8%83%E5%BC%8F%E9%94%81
分布式会话https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%B8%83%E5%BC%8F%E4%BC%9A%E8%AF%9D
分布式事务https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%B8%83%E5%BC%8F%E4%BA%8B%E5%8A%A1
分布式限流降级https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%B8%83%E5%BC%8F%E4%BA%8B%E5%8A%A1
分布式服务框架Dubbohttps://github.com/moviecode/Java-Interview-Advanced/tree/master#%E5%88%86%E5%B8%83%E5%BC%8F%E6%9C%8D%E5%8A%A1%E6%A1%86%E6%9E%B6Dubbo
互联网Java进阶面试训练营https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E4%BA%92%E8%81%94%E7%BD%91Java%E8%BF%9B%E9%98%B6%E9%9D%A2%E8%AF%95%E8%AE%AD%E7%BB%83%E8%90%A5
第一季:分布式https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E7%AC%AC%E4%B8%80%E5%AD%A3-%E5%88%86%E5%B8%83%E5%BC%8F
第二季:高并发https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E7%AC%AC%E4%BA%8C%E5%AD%A3-%E9%AB%98%E5%B9%B6%E5%8F%91
第三季:微服务https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E7%AC%AC%E4%B8%89%E5%AD%A3-%E5%BE%AE%E6%9C%8D%E5%8A%A1
第四季:海量数据https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E7%AC%AC%E5%9B%9B%E5%AD%A3-%E6%B5%B7%E9%87%8F%E6%95%B0%E6%8D%AE
第五季:高性能https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E7%AC%AC%E4%BA%94%E5%AD%A3-%E9%AB%98%E6%80%A7%E8%83%BD
第六季:高可用https://github.com/moviecode/Java-Interview-Advanced/tree/master#%E7%AC%AC%E5%85%AD%E5%AD%A3-%E9%AB%98%E5%8F%AF%E7%94%A8
https://github.com/moviecode/Java-Interview-Advanced/tree/master#面试指南
https://github.com/moviecode/Java-Interview-Advanced/tree/master#备战面试
面试一线互联网大厂？那这道题目你必须得会！https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484645&idx=1&sn=663238af983603a4c0b33cf42c3ebbcf&chksm=fba6ece6ccd165f0d78f271a21fdc1b91ad8d3def896e2f4df79d9c8d4cf99e3b2978d703dde&mpshare=1&scene=1&srcid=0608edSfhNw7AIjzl9R54Sih%23rd
阿里三面，P9面试官是如何360°无死角考察候选人的？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247485021&idx=1&sn=936b0ecbbe8bd633b1a6c10127eaf4c4&chksm=fba6ee5eccd167483e2a5b17df3f3d1f38f9b98b894f3c47d6b365821338e1380f7c6af1a49d&mpshare=1&scene=1&srcid=0608bZo70WnyWgBMGZs9aAPA%23rd
互联网公司的面试官是如何360°无死角考察候选人的？（上篇）https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484144&idx=1&sn=a6b86d38a762e317ba78e2500fb1a8ff&chksm=fba6eaf3ccd163e5403a01be51216780040511b2ddc4d5750ace6e46b4242ceaf77d0432c680&mpshare=1&scene=1&srcid=0608Ls6BQxXTdAQKvDeZx8f0%23rd
互联网公司面试官是如何360°无死角考察候选人的？（下篇）https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484148&idx=1&sn=a2e05fed6b2dda661b4da11036b883a9&chksm=fba6eaf7ccd163e19013c4204fd0997159b04cd37a235d05dab4f645b61b2f8f9e21a98614c8&mpshare=1&scene=1&srcid=0608k7qLNodHSqW0SbfpZLRG%23rd
中小公司的Java工程师应该如何逆袭冲进BAT？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484442&idx=1&sn=610f02aa18ef6a5d8c80a74959be0333&chksm=fba6ec19ccd1650fc265ac6f7f462157a7b274e358282bb7fc029e9366cfac656c58300b98c5&mpshare=1&scene=1&srcid=06089lyagf3w18D90N7RcB8q%23rd
【offer收割机必备】我简历上的Java项目都好low，怎么办？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484583&idx=1&sn=a9d43c3ee63c8e5a37c073c2b8c43fba&chksm=fba6eca4ccd165b2602a462c5589fa8dacd78558bdee7e0138b02bb26370637714f1094f4e9f&mpshare=1&scene=1&srcid=0608607GubfCXM2YaAqOLXET%23rd
Java工程师如何在1个月内做好面试准备？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484575&idx=1&sn=7075fb3a42ef62fb5e69c868f29c8c61&chksm=fba6ec9cccd1658a391bc4e60faa35b44b947dbb6f535042e392c668693524447a2604955fd8&mpshare=1&scene=1&srcid=0608BvwQetAYtHkxZX7X7r8F%23rd
https://github.com/moviecode/Java-Interview-Advanced/tree/master#常见面试题总结
互联网大厂Java面试题：使用无界队列的线程池会导致内存飙升吗？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484480&idx=1&sn=1c7262d7f185ad6f99b840fb7779a575&chksm=fba6ec43ccd16555d826772a530c280548d8fd9785a9169b87bb4ed82d8b12ad75154c98b957&mpshare=1&scene=1&srcid=0608DxO0IKPDPxNOoN1la590%23rd
阿里一面：关于【缓存穿透、缓存击穿、缓存雪崩、热点数据失效】问题的解决方案https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484884&idx=1&sn=ceb798b6e8ef0ee608a992385f7d8568&chksm=fba6edd7ccd164c155271811f7948b476955cab41b23f2333847b8c268b31cc9f3332c2e3926&mpshare=1&scene=1&srcid=0608pIX1L8Fja1H99IyorW2X%23rd
大白话聊聊Java并发面试问题之volatile到底是什么？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484058&idx=1&sn=d5c1533204ea655e65947ec57f924799&chksm=fba6ea99ccd1638f945c585cf3b2df6f4d4112b17ea3648730d50fdb5508555d5f30316f4186&mpshare=1&scene=1&srcid=0608cDtcDBaGNgIU9v4zxS3f%23rd
大白话聊聊Java并发面试问题之Java 8如何优化CAS性能?https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484070&idx=1&sn=c1d49bce3c9da7fcc7e057d858e21d69&chksm=fba6eaa5ccd163b3a935303f10a54a38f15f3c8364c7c1d489f0b1aa1b2ef293a35c565d2fda&mpshare=1&scene=1&srcid=0608QzOXG2l0z2QyfVaCKqRH%23rd
大白话聊聊Java并发面试问题之谈谈你对AQS的理解?https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484094&idx=1&sn=b337161f934b1c27ff1f059350ef5e65&chksm=fba6eabdccd163abc8978b65e155d79a133f20ee8a5bff79a33ed20a050c2bd576581db69fe6&mpshare=1&scene=1&srcid=0608yIcfsyrDG1NIBSsF58jq%23rd
大白话聊聊Java并发面试问题之公平锁与非公平锁是啥？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484095&idx=1&sn=aa915ae16d0a550bbe7ae4b6fec99173&chksm=fba6eabcccd163aa2bc0e880d7d3929eee5ff834a73a6ccc3a53237537a4555ef7fd4d9e70d0&mpshare=1&scene=1&srcid=0608QNgPOxWhMZfdNvGvcoUW%23rd
大白话聊聊Java并发面试问题之微服务注册中心的读写锁优化?https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484129&idx=1&sn=d2a95310db5751b152ba070caee4ebae&chksm=fba6eae2ccd163f48aef9d98a4dbb55d578a24af710e1436cc876fe3119b03135532e16d80bc&mpshare=1&scene=1&srcid=06089KYIxoL86LbBEP44hsnV%23rd
消息中间件集群崩溃，如何保证百万生产数据不丢失？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484257&idx=1&sn=e7704f92a1008ab7a292e2826bd079aa&chksm=fba6eb62ccd1627451d439bbc21e46e6fc1d7bfbe2a431fd887cf974a7bd0d9d482697f0e4fd&mpshare=1&scene=1&srcid=0608mcZB6SlZ2JGY46F7giS3%23rd
哥们，消息中间件在你们项目里是如何落地的？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484191&idx=1&sn=fac0c513cf9ad480fc39c5b51f6c4fde&chksm=fba6eb1cccd1620aa0b48c72d1c6b51706400f24268db6c774bac6ec02a0f31885db9b7d6cad&mpshare=1&scene=1&srcid=0608ZI28nnj1eXjYIlBg0oVb%23rd
哥们，那你说说系统架构引入消息中间件有什么缺点？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484157&idx=1&sn=f4644be2db6b1c230846cb4d62ae5be9&chksm=fba6eafeccd163e817b420d57478829d92251a6a5fd446f81805f0983a0d95cb6853a6735c4b&mpshare=1&scene=1&srcid=06083A6RVW3ZtKQRy6Ttq8tK%23rd
哥们，你们的系统架构中为什么要引入消息中间件？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484149&idx=1&sn=98186297335e13ec7222b3fd43cfae5a&chksm=fba6eaf6ccd163e0c2c3086daa725de224a97814d31e7b3f62dd3ec763b4abbb0689cc7565b0&mpshare=1&scene=1&srcid=0608fz8HKZvYxRhzFqyJ4Isq%23rd
线上服务宕机时，如何保证数据100%不丢失?https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484204&idx=1&sn=6fc43b0620857b653dbef20693d1c6c6&chksm=fba6eb2fccd16239056e4b52dc0895585292b830bfd2652dea81b7360556fe36aceac0951761&mpshare=1&scene=1&srcid=0608W9lqShQsPrfETC90Acwm%23rd
https://github.com/moviecode/Java-Interview-Advanced/tree/master#面经
小公司面试10连挂之后，我拿到了互联网一线大厂offer！https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484955&idx=1&sn=be39f51e00d78eb7d3a4ae6b7137e62c&chksm=fba6ee18ccd1670ec7dbf62f2c73d65b241cfb6897bac9316981c1e7936e31c1caee5ccee87e&mpshare=1&scene=1&srcid=0608zdpqBAGKWQr6ExuWOvtg%23rd
尴尬的面试现场：说说你们系统有多大QPS？系统到底怎么抗住高并发的？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484908&idx=1&sn=6acc6ff3ce5e2ca1d0c2639868356a5e&chksm=fba6edefccd164f92d15faab6b8f77e4118c299ea5b1c366ac2db2aad9f12c761ef051355600&mpshare=1&scene=1&srcid=0608rMH6pNVzMB7wHy5caCrN%23rd
面对BAT大厂的竞争对手时，小公司Java工程师是如何败北的？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484786&idx=1&sn=be07d63f36ee97031031dc455c03e3ca&chksm=fba6ed71ccd164677ef4e94ad64409783ec4a35d0cf8cfc2f2672a58099a382a496db2abf313&mpshare=1&scene=1&srcid=0608FUyrpWhHO2WyA36i9JK9%23rd
我一连面试了十个Java岗，统统石沉大海！https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484590&idx=1&sn=9d63dd0c4ab9150f6ac32f327d349d3b&chksm=fba6ecadccd165bb3c96ebd792d677ce25614f1cf48dbbe255534c149fe447c88761077f16b4&mpshare=1&scene=1&srcid=0608MowbddtGYWq6Fa26nPIJ%23rd
面试最让你手足无措的一个问题：你的系统如何支撑高并发？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484429&idx=1&sn=d8038c21ecd733b8bb7ff784014243f9&chksm=fba6ec0eccd165189e92a294ab2b7cd6796982c188befe05c27f4e96ae5cd39f2baf436cf37d&mpshare=1&scene=1&srcid=0608ttwG3fBdBUt7pdxL5IhX%23rd
【斩获7枚offer，入职阿里平台事业部】横扫阿里、美团、京东、 去哪儿之后，我写下了这篇面经！https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247485090&idx=1&sn=5502672d9bf52551038b911d7ab623b9&chksm=fba6eea1ccd167b73a542b76dad423da21a2b452f768aac996cb50eeac1adc5d4978afe762ce&mpshare=1&scene=1&srcid=0608mo3eKwh686hXNzvRQfEB%23rd
三年努力，梦归阿里！https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247485010&idx=1&sn=cd158d8358a0758fa81af094d58e2ea2&chksm=fba6ee51ccd1674753d77c8ab2a522cd8e32373b0a104eb9ecd6008cd12b6457eaade77e0514&mpshare=1&scene=1&srcid=0608LIOSiYzoUmlBHC4ZhnnZ%23rd
二本出身、逆袭网易、一路孤独、一路狂欢！https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484844&idx=1&sn=cfa78df2943567269909f87217fa25c8&chksm=fba6edafccd164b9f6c22162a6386734010aeee9a084de720dacbb72d58bd1c20c0f961f5315&mpshare=1&scene=1&srcid=0608Ufv5zYZu66XnNn89WYEU%23rd
小公司出身的我，是如何拿下知名独角兽公司offer的？https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484813&idx=1&sn=4c9a43e51e1cf114efcf938e60ad58fd&chksm=fba6ed8eccd16498840a715659b8a29cf3368d28cf67c6fb27255277abe63421bca9ceb2cae7&mpshare=1&scene=1&srcid=06083zOsdotiVg1juwK3MYxZ%23rd
【行走的Offer收割机】记一位朋友斩获BAT技术专家Offer的面试经历https://mp.weixin.qq.com/s?__biz=MzU0OTk3ODQ3Ng==&mid=2247484170&idx=1&sn=6c178884c1c5399e37562b9dc66cff6c&chksm=fba6eb09ccd1621ff8821b37f12d6df8a1d269ddc95ad10c0a4e71a3bf0017952bf19978d8ec&mpshare=1&scene=1&srcid=0608ezj6dEIln43Sl011MZz3%23rd
https://github.com/moviecode/Java-Interview-Advanced/tree/master#面试突击第一季
分布式消息队列https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/mq-interview.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分布式消息队列
为什么使用消息队列？消息队列有什么优点和缺点？Kafka、ActiveMQ、RabbitMQ、RocketMQ 都有什么优点和缺点？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/why-mq.md
如何保证消息队列的高可用？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/how-to-ensure-high-availability-of-message-queues.md
如何保证消息不被重复消费？（如何保证消息消费的幂等性）https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/how-to-ensure-that-messages-are-not-repeatedly-consumed.md
如何保证消息的可靠性传输？（如何处理消息丢失的问题）https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/how-to-ensure-the-reliable-transmission-of-messages.md
如何保证消息的顺序性？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/how-to-ensure-the-order-of-messages.md
如何解决消息队列的延时以及过期失效问题？消息队列满了以后该怎么处理？有几百万消息持续积压几小时，说说怎么解决？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/mq-time-delay-and-expired-failure.md
如果让你写一个消息队列，该如何进行架构设计啊？说一下你的思路。https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/mq-design.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#搜索引擎
lucene 和 es 的前世今生https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/es-introduction.md
es 的分布式架构原理能说一下么（es 是如何实现分布式的啊）？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/es-architecture.md
es 写入数据的工作原理是什么啊？es 查询数据的工作原理是什么啊？底层的 lucene 介绍一下呗？倒排索引了解吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/es-write-query-search.md
es 在数据量很大的情况下（数十亿级别）如何提高查询效率啊？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/es-optimizing-query-performance.md
es 生产集群的部署架构是什么？每个索引的数据量大概有多少？每个索引大概有多少个分片？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/es-production-cluster.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分布式缓存
在项目中缓存是如何使用的？缓存如果使用不当会造成什么后果？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/why-cache.md
Redis 和 Memcached 有什么区别？Redis 的线程模型是什么？为什么单线程的 Redis 比多线程的 Memcached 效率要高得多？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-single-thread-model.md
Redis 都有哪些数据类型？分别在哪些场景下使用比较合适？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-data-types.md
Redis 的过期策略都有哪些？手写一下 LRU 代码实现？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-expiration-policies-and-lru.md
如何保证 Redis 高并发、高可用？Redis 的主从复制原理能介绍一下么？Redis 的哨兵原理能介绍一下么？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/how-to-ensure-high-concurrency-and-high-availability-of-redis.md
Redis 的持久化有哪几种方式？不同的持久化机制都有什么优缺点？持久化机制具体底层是如何实现的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-persistence.md
Redis 集群模式的工作原理能说一下么？在集群模式下，Redis 的 key 是如何寻址的？分布式寻址都有哪些算法？了解一致性 hash 算法吗？如何动态增加和删除一个节点？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-cluster.md
了解什么是 redis 的雪崩、穿透和击穿？Redis 崩溃之后会怎么样？系统该如何应对这种情况？如何处理 Redis 的穿透？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-caching-avalanche-and-caching-penetration.md
如何保证缓存与数据库的双写一致性？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-consistence.md
Redis 的并发竞争问题是什么？如何解决这个问题？了解 Redis 事务的 CAS 方案吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-cas.md
生产环境中的 Redis 是怎么部署的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/redis-production-environment.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分库分表
为什么要分库分表（设计高并发系统的时候，数据库层面该如何设计）？用过哪些分库分表中间件？不同的分库分表中间件都有什么优点和缺点？你们具体是如何对数据库如何进行垂直拆分或水平拆分的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/database-shard.md
现在有一个未分库分表的系统，未来要分库分表，如何设计才可以让系统从未分库分表动态切换到分库分表上？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/database-shard-method.md
如何设计可以动态扩容缩容的分库分表方案？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/database-shard-dynamic-expand.md
分库分表之后，id 主键如何处理？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/database-shard-global-id-generate.md
如何实现 MySQL 的读写分离？MySQL 主从复制原理是啥？如何解决 MySQL 主从同步的延时问题？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/mysql-read-write-separation.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分布式服务框架dubbo
面试连环炮https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-system-interview.md
如何设计一个高并发系统？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-concurrency/high-concurrency-design.md
说一下 Dubbo 的工作原理？注册中心挂了可以继续通信吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-operating-principle.md
Dubbo 支持哪些序列化协议？说一下 Hessian 的数据结构？PB 知道吗？为什么 PB 的效率是最高的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-serialization-protocol.md
Dubbo 负载均衡策略和集群容错策略都有哪些？动态代理策略呢？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-load-balancing.md
Dubbo 的 spi 思想是什么？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-spi.md
如何基于 Dubbo 进行服务治理、服务降级、失败重试以及超时重试？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-service-management.md
分布式服务接口的幂等性如何设计（比如不能重复扣款）？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-system-idempotency.md
分布式服务接口请求的顺序性如何保证？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-system-request-sequence.md
如何自己设计一个类似 Dubbo 的 RPC 框架？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-rpc-design.md
手写rpc代码下载!https://github.com/shishan100/Java-Interview-Advanced/raw/master/docs/distributed-system/code/rpc-demo.zip
为什么要进行系统拆分？如何进行系统拆分？拆分后不用 Dubbo 可以吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/why-dubbo.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分布式锁
Zookeeper 都有哪些应用场景？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/zookeeper-application-scenarios.md
使用 Redis 如何设计分布式锁？使用 Zookeeper 来设计分布式锁可以吗？以上两种分布式锁的实现方式哪种效率比较高？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-lock-redis-vs-zookeeper.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分布式事务
分布式事务了解吗？你们如何解决分布式事务问题的？TCC 如果出现网络连不通怎么办？XA 的一致性如何保证？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-transaction.md
关于如何实现一个TCC分布式事务框架的一点思考http://www.bytesoft.org
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分布式会话
集群部署时的分布式 Session 如何实现？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-session.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#分布式限流降级
Hystrix 介绍https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-introduction.md
电商网站详情页系统架构https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/e-commerce-website-detail-page-architecture.md
Hystrix 线程池技术实现资源隔离https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-thread-pool-isolation.md
Hystrix 信号量机制实现资源隔离https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-semphore-isolation.md
Hystrix 隔离策略细粒度控制https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-execution-isolation.md
深入 Hystrix 执行时内部原理https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-process.md
基于 request cache 请求缓存技术优化批量商品数据查询接口https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-request-cache.md
基于本地缓存的 fallback 降级机制https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-fallback.md
深入 Hystrix 断路器执行原理https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-circuit-breaker.md
深入 Hystrix 线程池隔离与接口限流https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-thread-pool-current-limiting.md
基于 timeout 机制为服务接口调用超时提供安全保护https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/high-availability/hystrix-timeout.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#互联网java进阶面试训练营
https://github.com/moviecode/Java-Interview-Advanced/tree/master#第一季-分布式
01、互联网大厂面试要求：技术广度、技术深度、系统设计以及项目经验https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-design.md
02、Java工程师面试突击第一季总结：你离一次成功的面试还差多少？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/java-interview-season-1-summary.md
03、《21天互联网Java进阶面试训练营》的课程说明https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/21-day-course-instructions.md
04、作业：系统分析一下，自己距离大厂offer差在哪里？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/homework.md
05、感受一下BAT面试官对分布式技术的十几个面试连环炮!https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/BAT-interview-fire.md
06、你们公司用的Dubbo？那你再额外说说Spring Cloud的核心架构原理？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/core-architecture-principle%20.md
07、基于Dubbo和Spring Cloud分别搭建一个电商系统来快速体验一下！https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/Dubbo-SpringCloud-experience.md
代码下载点击这里哦!https://github.com/shishan100/Java-Interview-Advanced/raw/master/docs/distributed-system/code/code.zip
08、作业：你们的系统使用了哪种服务框架？为什么要这样技术选型？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-framework-selection.md
09、看过Dubbo源码吗？说说Dubbo的底层架构原理？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-framework-principle.md
10、咱们来聊点深入的，说说Dubbo底层的网络通信机制原理！https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-rock-bottom.md
11、Dubbo框架从架构设计角度，是怎么保证极高的可扩展性的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-augmentability.md
12、作业：自己独立画出Dubbo的底层架构原理图https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-independent-framework.md
13、如果让你设计一个RPC框架，网络通信、代理机制、负载均衡等该如何设https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/rpc-design.md
14、平时除了使用外，有研究过Spring Cloud的底层架构原理么？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/springCloud-study-theory.md
15、从底层实现原理的角度，对比一下Dubbo和Spring Cloud的优劣！https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dubbo-vs-springCloud.md
16、作业：自己独立画出Spring Cloud的架构原理图，RPC框架架构设计图！https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/springCloud-and-rpc-framework.md
17、面试官：你们的服务注册中心进行过选型调研吗？对比一下各种服务注册中心！https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/registration-center-%20guide.md
18、画图阐述一下你们的服务注册中心部署架构，生产环境下怎么保证高可用？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/register-high-availability.md
19、你们系统遇到过服务发现过慢的问题吗？怎么优化和解决的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/service-register-discovery.md
20、作业：说一下自己公司的服务注册中心怎么技术选型的？生产环境中应该怎么优化？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/register-production-optimize.md
21、你们对网关的技术选型是怎么考虑的？能对比一下各种网关技术的优劣吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/gateway-model-selection.md
22、说说生产环境下，你们是怎么实现网关对服务的动态路由的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/dynamic-route.md
代码下载点击这里哦!https://github.com/shishan100/Java-Interview-Advanced/raw/master/docs/distributed-system/code/code2.zip
23、如果网关需要抗每秒10万的高并发访问，你应该怎么对网关进行生产优化？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/gateway-high-concurrency.md
24、作业：你们公司的网关是怎么技术选型的，假设有高并发场景怎么优化？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/gateway-technical.md
25、如果需要部署上万服务实例，现有的服务注册中心能否抗住？如何优化？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/registration-center-optimize.md
26、你们是如何基于网关实现灰度发布的？说说你们的灰度发布方案？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/gray-environment.md
代码下载点击这里哦!https://github.com/shishan100/Java-Interview-Advanced/raw/master/docs/distributed-system/code/code3.zip
27、说说你们一个服务从开发到上线，服务注册、网关路由、服务调用的流程？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/service-register-gateway-router.md
28、作业：看看你们公司的服务注册中心能否支撑上万服务实例的大规模场景？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-register.md
29、画一下你们系统的整体架构图，说说各个服务在生产环境怎么部署的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/system-framework.md
30、你们系统每天有多大访问量？每个服务高峰QPS多少？压测过服务最大QPS吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/system-qps.md
31、如果系统访问量比现在增加10倍，你们考虑过系统的扩容方案吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/system-dilatation.md
32、作业：独立画出自己系统的生产部署架构图，梳理系统和服务的QPS以及扩容方案https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-system-dilatation.md
33、你们生产环境的服务是怎么配置超时和重试参数的？为什么要这样配置？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/service-request-time-out.md
代码下载点击这里哦!https://github.com/shishan100/Java-Interview-Advanced/raw/master/docs/distributed-system/code/code4.zip
34、如果出现服务请求重试，会不会出现类似重复下单的问题？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/request-retry.md
35、对于核心接口的防重幂等性，你们是怎么设计的？怎么防止重复下单问题？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/interface-idempotence.md
36、作业：看看自己系统的核心接口有没有设计幂等性方案？如果没有，应该怎么设计？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-interface-idempotence.md
37、画一下你们电商系统的核心交易链路图，说说分布式架构下存在什么问题？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/deal-line.md
38、针对电商核心交易链路，你们是怎么设计分布式事务技术方案的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-distributed-transaction.md
39、对于TCC事务、最终一致性事务的技术选型，你们是怎么做的？如何调研的？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-transaction-tcc.md
40、作业：你们公司的核心链路是否有事务问题？分布式事务方案怎么调研选型？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-distributed-transaction.md
41、在搭建好的电商系统里，落地开发对交易链路的TCC分布式事务方案https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/tcc-landing-scheme.md
42、你能说说一个TCC分布式事务框架的核心架构原理吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/tcc-framework-principle.md
43、现有的TCC事务方案的性能瓶颈在哪里？能支撑高并发交易场景吗？如何优化？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/tcc-high-concurrence.md
44、作业：如果对自己的系统核心链路落地TCC事务，应该如何落地实现？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-tcc-landing-scheme.md
45、你了解RocketMQ对分布式事务支持的底层实现原理吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/rocketmq-transaction.md
46、在搭建好的电商系统里，如何基于RocketMQ最终一致性事务进行落地开发？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/rocketmq-eventual-consistency.md
47、如果公司没有RocketMQ中间件，那你们如何实现最终一致性事务？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/eventual-consistency.md
48、作业：如果对自己的系统落地最终一致性事务，如何落地实现？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-eventual-consistency.md
49、你们生产系统中有哪个业务场景是需要用分布式锁的？为什么呢？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-lock.md
50、你们是用哪个开源框架实现的Redis分布式锁？能说说其核心原理么？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/redis-distribute-lock.md
51、如果Redis是集群部署的，那么集群故障时分布式锁还有效么？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/hitch-redis-distribute-lock.md
52、作业：自己梳理出来Redis分布式锁的生产问题解决方案https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/work-redis-distribute-lock.md
53、如果要实现ZooKeeper分布式锁，一般用哪个开源框架？核心原理是什么？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/zookeeper-distribute-lock.md
54、对于ZooKeeper的羊群效应，分布式锁实现应该如何优化？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/zookeeper-distribute-lock-optimize.md
55、如果遇到ZooKeeper脑裂问题，分布式锁应该如何保证健壮性？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/zookeeper-distribute-lock-split-brain.md
56、作业：自己梳理出来ZooKeeper分布式锁的生产问题解决方案https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/zookeeper-distribute-lock-scheme.md
57、在搭建好的电商系统中，落地开发分布式锁保证库存数据准确的方案https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/floor-distribute-lock.md
58、你们的分布式锁做过高并发优化吗？能抗下每秒上万并发吗？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/highly-concurrent-distribute-lock.md
59、淘宝和京东的库存是怎么实现的？能不能不用分布式锁实现高并发库存更新？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/distributed-lock-taobao-and-jingdong.md
60、作业：自己系统的分布式锁在高并发场景下应该如何优化？https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/highly-concurrent-majorization-distributed-lock.md
61、互联网Java工程师面试突击前两季总结以及下一季的规划展望https://github.com/moviecode/Java-Interview-Advanced/blob/master/docs/distributed-system/java-internet-interview-outlook.md
https://github.com/moviecode/Java-Interview-Advanced/tree/master#第二季-高并发
https://github.com/moviecode/Java-Interview-Advanced/tree/master#第三季-微服务
https://github.com/moviecode/Java-Interview-Advanced/tree/master#第四季-海量数据
https://github.com/moviecode/Java-Interview-Advanced/tree/master#第五季-高性能
https://github.com/moviecode/Java-Interview-Advanced/tree/master#第六季-高可用
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