mirror of
https://github.com/doocs/advanced-java.git
synced 2024-12-26 04:00:08 +08:00
146 lines
9.4 KiB
Markdown
146 lines
9.4 KiB
Markdown
- 高并发架构
|
||
|
||
- [消息队列](/docs/high-concurrency/mq-interview.md)
|
||
|
||
- [为什么使用消息队列?](/docs/high-concurrency/why-mq.md)
|
||
- [如何保证消息队列的高可用?](/docs/high-concurrency/how-to-ensure-high-availability-of-message-queues.md)
|
||
- [如何保证消息不被重复消费?](/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?](/docs/high-concurrency/how-to-ensure-the-reliable-transmission-of-messages.md)
|
||
- [如何保证消息的顺序性?](/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?](/docs/high-concurrency/mq-time-delay-and-expired-failure.md)
|
||
- [如何设计一个消息队列?](/docs/high-concurrency/mq-design.md)
|
||
|
||
- [搜索引擎](/docs/high-concurrency/es-introduction.md)
|
||
|
||
- [ES 的分布式架构原理是什么?](/docs/high-concurrency/es-architecture.md)
|
||
- [ES 写入数据的工作原理是什么?](/docs/high-concurrency/es-write-query-search.md)
|
||
- [ES 在数十亿级别数量下如何提高查询效率?](/docs/high-concurrency/es-optimizing-query-performance.md)
|
||
- [ES 生产集群的部署架构是什么?](/docs/high-concurrency/es-production-cluster.md)
|
||
|
||
- 缓存
|
||
|
||
- [在项目中缓存是如何使用的?](/docs/high-concurrency/why-cache.md)
|
||
- [Redis 和 Memcached 有什么区别?](/docs/high-concurrency/redis-single-thread-model.md)
|
||
- [Redis 都有哪些数据类型以及适用场景?](/docs/high-concurrency/redis-data-types.md)
|
||
- [Redis 的过期策略都有哪些?](/docs/high-concurrency/redis-expiration-policies-and-lru.md)
|
||
- [如何保证 Redis 高并发、高可用?](/docs/high-concurrency/how-to-ensure-high-concurrency-and-high-availability-of-redis.md)
|
||
- [Redis 主从架构是怎样的?](/docs/high-concurrency/redis-master-slave.md)
|
||
- [Redis 的持久化有哪几种方式?](/docs/high-concurrency/redis-persistence.md)
|
||
- [Redis 如何基于哨兵集群实现高可用?](/docs/high-concurrency/redis-sentinel.md)
|
||
- [Redis 集群模式的工作原理能说一下么?](/docs/high-concurrency/redis-cluster.md)
|
||
- [Redis 的雪崩、穿透和击穿,如何应对?](/docs/high-concurrency/redis-caching-avalanche-and-caching-penetration.md)
|
||
- [如何保证缓存与数据库双写一致性?](/docs/high-concurrency/redis-consistence.md)
|
||
- [如何解决 Redis 的并发竞争问题?](/docs/high-concurrency/redis-cas.md)
|
||
- [生产环境中的 Redis 是怎么部署的?](/docs/high-concurrency/redis-production-environment.md)
|
||
|
||
- 分库分表
|
||
|
||
- [为什么要分库分表?](/docs/high-concurrency/database-shard.md)
|
||
- [分库分表如何平滑过渡?](/docs/high-concurrency/database-shard-method.md)
|
||
- [设计一个动态扩容缩容的分库分表方案?](/docs/high-concurrency/database-shard-dynamic-expand.md)
|
||
- [分库分表之后,id 主键如何处理?](/docs/high-concurrency/database-shard-global-id-generate.md)
|
||
|
||
- 读写分离
|
||
|
||
- [如何实现 MySQL 的读写分离?](/docs/high-concurrency/mysql-read-write-separation.md)
|
||
|
||
- 高并发系统
|
||
- [如何设计一个高并发系统?](/docs/high-concurrency/high-concurrency-design.md)
|
||
|
||
* 分布式系统
|
||
|
||
- [面试连环炮](/docs/distributed-system/distributed-system-interview.md)
|
||
- 系统拆分
|
||
|
||
- [为什么要进行系统拆分?](/docs/distributed-system/why-dubbo.md)
|
||
|
||
- 分布式服务框架
|
||
|
||
- [说一下 Dubbo 的工作原理?](/docs/distributed-system/dubbo-operating-principle.md)
|
||
- [Dubbo 支持哪些序列化协议?](/docs/distributed-system/dubbo-serialization-protocol.md)
|
||
- [Dubbo 负载均衡策略和集群容错策略?](/docs/distributed-system/dubbo-load-balancing.md)
|
||
- [Dubbo 的 SPI 思想是什么?](/docs/distributed-system/dubbo-spi.md)
|
||
- [如何基于 Dubbo 进行服务治理?](/docs/distributed-system/dubbo-service-management.md)
|
||
- [分布式服务接口的幂等性如何设计?](/docs/distributed-system/distributed-system-idempotency.md)
|
||
- [分布式服务接口请求的顺序性如何保证?](/docs/distributed-system/distributed-system-request-sequence.md)
|
||
- [如何自己设计一个类似 Dubbo 的 RPC 框架?](/docs/distributed-system/dubbo-rpc-design.md)
|
||
- [CAP 定理的 P 是什么?](/docs/distributed-system/distributed-system-cap.md)
|
||
|
||
- 分布式锁
|
||
|
||
- [Zookeeper 都有哪些应用场景?](/docs/distributed-system/zookeeper-application-scenarios.md)
|
||
- [分布式锁如何设计?](/docs/distributed-system/distributed-lock-redis-vs-zookeeper.md)
|
||
|
||
- 分布式事务
|
||
|
||
- [分布式事务了解吗?](/docs/distributed-system/distributed-transaction.md)
|
||
|
||
- 分布式会话
|
||
- [集群分布式 Session 如何实现?](/docs/distributed-system/distributed-session.md)
|
||
|
||
* 高可用架构
|
||
|
||
- 基于 Hystrix 实现高可用
|
||
|
||
- [Hystrix 介绍](/docs/high-availability/hystrix-introduction.md)
|
||
- [电商网站详情页系统架构](/docs/high-availability/e-commerce-website-detail-page-architecture.md)
|
||
- [Hystrix 线程池技术实现资源隔离](/docs/high-availability/hystrix-thread-pool-isolation.md)
|
||
- [Hystrix 信号量机制实现资源隔离](/docs/high-availability/hystrix-semphore-isolation.md)
|
||
- [Hystrix 隔离策略细粒度控制](/docs/high-availability/hystrix-execution-isolation.md)
|
||
- [深入 Hystrix 执行时内部原理](/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](/docs/high-availability/hystrix-request-cache.md)
|
||
- [基于本地缓存的 fallback 降级机制](/docs/high-availability/hystrix-fallback.md)
|
||
- [深入 Hystrix 断路器执行原理](/docs/high-availability/hystrix-circuit-breaker.md)
|
||
- [深入 Hystrix 线程池隔离与接口限流](/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](/docs/high-availability/hystrix-timeout.md)
|
||
|
||
- 高可用系统
|
||
|
||
- 如何设计一个高可用系统?
|
||
|
||
- 限流
|
||
|
||
- [如何限流?说一下具体的实现?](/docs/high-concurrency/how-to-limit-current.md)
|
||
|
||
- 熔断
|
||
|
||
- 如何进行熔断?
|
||
- 熔断框架都有哪些?具体实现原理知道吗?
|
||
- [熔断框架,选用 Sentinel 还是 Hystrix?](/docs/high-availability/sentinel-vs-hystrix.md)
|
||
|
||
- 降级
|
||
- 如何进行降级?
|
||
|
||
* 微服务架构
|
||
|
||
- 微服务的一些概念
|
||
|
||
- [关于微服务架构的描述](/docs/micro-services/microservices-introduction.md)
|
||
- [从单体式架构迁移到微服务架构](/docs/micro-services/migrating-from-a-monolithic-architecture-to-a-microservices-architecture.md)
|
||
- [微服务的事件驱动数据管理](/docs/micro-services/event-driven-data-management-for-microservices.md)
|
||
- [选择微服务部署策略](/docs/micro-services/choose-microservice-deployment-strategy.md)
|
||
|
||
- Spring Cloud 微服务架构
|
||
- [什么是微服务?微服务之间是如何独立通讯的?](/docs/micro-services/what's-microservice-how-to-communicate.md)
|
||
- Spring Cloud 和 Dubbo 有哪些区别?
|
||
- Spring Boot 和 Spring Cloud,谈谈你对它们的理解?
|
||
- 什么是服务熔断?什么是服务降级?
|
||
- 微服务的优缺点分别是什么?说一下你在项目开发中碰到的坑?
|
||
- [你所知道的微服务技术栈都有哪些?](/docs/micro-services/micro-services-technology-stack.md)
|
||
- [微服务治理策略](/docs/micro-services/micro-service-governance.md)
|
||
- Eureka 和 Zookeeper 都可以提供服务注册与发现的功能,它们有什么区别?
|
||
- [谈谈服务发现组件 Eureka 的主要调用过程?](/docs/micro-services/how-eureka-enable-service-discovery-and-service-registration.md)
|
||
|
||
* 海量数据处理
|
||
- 10 道经典的海量数据处理面试题
|
||
- [如何从大量的 URL 中找出相同的 URL?](/docs/big-data/find-common-urls.md)
|
||
- [如何从大量数据中找出高频词?](/docs/big-data/find-top-100-words.md)
|
||
- [如何找出某一天访问百度网站最多的 IP?](/docs/big-data/find-top-1-ip.md)
|
||
- [如何在大量的数据中找出不重复的整数?](/docs/big-data/find-no-repeat-number.md)
|
||
- [如何在大量的数据中判断一个数是否存在?](/docs/big-data/find-a-number-if-exists.md)
|
||
- [如何查询最热门的查询串?](/docs/big-data/find-hotest-query-string.md)
|
||
- [如何统计不同电话号码的个数?](/docs/big-data/count-different-phone-numbers.md)
|
||
- [如何从 5 亿个数中找出中位数?](/docs/big-data/find-mid-value-in-500-millions.md)
|
||
- [如何按照 query 的频度排序?](/docs/big-data/sort-the-query-strings-by-counts.md)
|
||
- [如何找出排名前 500 的数?](/docs/big-data/find-rank-top-500-numbers.md)
|