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interview's Introduction

<<面向面试官编程>>系列

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1. Java 基础

1.1 集合框架

1.2 I/O

1.3 Socket 网络通信

1.4 注解

1.5 反射

1.6 线程基础

1.7 Java 8+( >= 11) 新特性

1,8 常见面试题剖析

2. JVM

2.0 自己编译 JDK

2.1 内存区域与OOM

2.1.1 运行时数据区域

2.2 垃圾收集器与内存分配策略

2.3 类加载机制

2.4 JVM 内存模型

2.5 JVM 性能监控工具与调优

2.5.1 jps

2.5.2 jstat

2.5.3 jinfo

2.5.4 jmap

2.5.5 jhat

2.5.6 jstack

2.5.7 jConsole

3. 多线程

3.1 线程的通信与状态转化

3.2 线程池及其实现

3.3 JUC

3.4 AQS 与 CAS

3.5 性能调优

4. 数据结构

4.1 Hash 表

4.2 二叉树

4.3 堆

4.4 图

4.5 AVL 树

4.6 红黑树

4.7 B 树

4.8 B+ 树

5. 算法

5.1 贪心算法

5.2 分治算法

5.3 回朔

5.4 动态规划

5.5 LeetCode

6. 数据库 -- MySQL

6.1 MySql 并发控制与 ACID

6.2 MySQL 存储引擎

6.3 索引

6.4 备份与恢复

6.5 MySQL 调优

6.6 高性能与高可用架构

7. 核心框架

7.1 Spring

7.2 SpringMVC

7.3 Mybatis

7.4 Spring 整合 Mybatis

7.5 SpringBoot

7.6 授权与认证

7.6.1 SpringSecurity

7.6.2 第三方登录 -- Spring Social

7.6.3 APP 认证 -- SpringSecurity OAuth

7.7 Netty

7.8 RPC 与 微服务

7.9 Dubbo

7.10 Spring Cloud

8.高并发与分布式

8.1 缓存--Redis

8.2 负载均衡服务器 -- Nginx

8.3 分布式协调服务器 -- Zookeeper

8.4 全文检索引擎 -- ElasticSearch

8.5 消息队列

8.5.1 RocketMQ

8.5.2 Kafka

8.6 分布式事务

8.7 分布式系统架构

9. 大数据

9.1 Hadoop

9.2 Hive

9.3 Spark

9.4 Flink

10. 加分技术

10.1 Linux

10.2 UML

10.3 Docker

10.4 k8s

10.5 测试

10.6 Python

11. 面试

11.1 简历制作

11.2 面试技巧

11.3 项目经验

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