Alibaba P8 broke out this interview guide for big factories. After reading it, the salary soared by 30K!

I'm sure all my friends who have had interview experience in large factories know ,

The interview questions of big factories are not as simple as they have been asked so far , Many interviewers will ask a basic question , Loop by loop , Only fully understand the deep principle and application of each technical point , To give yourself extra points in the interview .

Next is the heavy welfare , Xiaobian's Dachang friend pleaded with Xiaobian , During this period of time, I finally sorted out the notes of the interview reference guide of the large factory corresponding to the topic for me , This note makes people have to love , Currently in GitHub The heat has been marked with stars 32k 了 , It can be seen that the peer recognition of this document , It also means that it will be of great help to our learning and technical improvement .

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One 、 Distributed notes

• Features of large website system

• High concurrency , Large flow

• High availability

• Huge amounts of data

• Users are widely distributed , The network is complex

• The safety environment is bad

• Requirements change rapidly , Frequent releases

• Progressive development

• The evolution and development of large-scale website architecture

• The initial stage of the website architecture

• Separation of application services and data services

• Use caching to improve website performance

• Use the application server cluster to improve the concurrent processing ability of the website

• Database read write separation

• Use reverse proxy and CDN Speed up website response

• Use distributed file system and distributed database system

• Use NoSQL And search engines

• Business split

• Distributed microservices

• Split  VS  colony

• Split ： Different
  Different service modules are deployed on multiple servers
  , Pass between modules RPC Communication and call , Used to split business functions , Independent deployment , Multiple servers form a whole to provide services .

• colony ： Different
  Deploy the same service module on multiple servers
  , Unified scheduling through distributed scheduling software , It is used for diversion and disaster recovery , Reduce the access pressure of a single server .

• CAP Three in two and Base Theorem

• Relational databases follow ACID The rules

• CAP Three into two

• BASE Theorem

• Distributed consistency theory paxos. raft. zab Algorithm

Middleware notes

• cache

• Why use caching

• Excellent caching system Redis

• redis Why so soon?

• redis Data type of , And usage scenarios for each data type

• redis The expiration policy and memory elimination mechanism of

• Progressive type ReHash

• Progressive type rehash Why

• Cache penetration

• Cache avalanche

• Message queue

• Message queuing application scenario

• Message middleware example

• JMS Message service

• Prevent message loss

• Idempotent processing of messages

• The sequential processing of messages

• Search engine

• summary

• characteristic ( advantage ) :

• Use scenarios :

• Inverted index

• Create index

• Search index

• Lucene and ElasticSearch

• Word segmentation is

Big data and high concurrency notes

• Seckill architecture design

• Business Introduction

• Business characteristics

• Technical difficulties

• Architecture design ideas

• The overall architecture

• Client optimization

• API Access layer optimization

• SOA Service layer optimization

• Second kill overall flow chart

• summary

• Database architecture development history

• stand-alone MySQL The good times of

• Memcached( cache )+MySQL+ Split Vertically

• Mysq| Master-slave copy read-write separation

• Table depots + Horizontal split +mysq| colony

• How to store the product information of Alibaba Chinese website

• Basic information of goods

• Commodity Description 、 details 、 Evaluation information ( Multi character class )

• Pictures of goods

• Key words of the product

• High frequency information of hot spots in the band of goods

• Trade in goods 、 Price calculation 、 Integral accumulation

• Big Internet applications ( big data 、  High concurrency 、 Diverse data types ) The difficulties and solutions of

• Horizontal and vertical splitting of data

• Split Vertically

• Horizontal split

• Resolution principle

• case analysis

• Distributed transactions

• If there is no distributed transaction

• What is distributed transaction ?

• XA Two-phase commit (2PC)

• XA Three stage commit (3PC)

• MQ Business

• TCC Business

• Common current limiting algorithms

• Counter method

• The sliding window

• Vulnerability algorithm

• Token bucket algorithm

• Counter VS The sliding window

• Leaky bucket algorithm VS Token bucket algorithm

• Load balancing

• dns Domain name resolution load balancing

• Reverse agent load balancing

• htp Redirection protocol for load balancing

• Hierarchical load sharing algorithm

Database documents

• Database paradigm

• 1NF( First of all   normal form )

• 2NF( Second normal form )

• 3NF( Third normal form )

• Database development specification

• The specification

• Naming specification

• Field design specification

• summary

• Database index

• unique index

• Non unique index

• primary key

• Clustered index ( Cluster index )

• Expand : The difference between a clustered index and a nonclustered index ? Under what circumstances ?

• Index implementation mechanism

• Indexing principles

Design patterns and practice documents

• OOP Five principles SOLID

• Principle of single responsibility

• Open and closed principle

• Richter's principle of substitution

• The principle of Dependence Inversion

• Interface separation principle

• Section oriented programming （AOP）

• The basic idea

• validate logon

• be based on RBAC Authority management

• logging

• Transaction processing

• Unified exception handling

• Factory mode

• Simple factory

• Factory method

• Abstract factory

• Zookeeper

• ZK sketch

• Storage structure

• Application scenarios

• Write data flow

• Leader The election

Data structure and algorithm documents

• HashMap

• Internal implementation

• Storage structure - Field

• Function realization - Method

• Thread safety

• ConcurrentHashMap

• Lock segment Technology

• CAS No lock algorithm

• JVM Memory management algorithm

• Judge whether the object is alive

• Garbage collection algorithm

Golden nine silver ten interview questions

• Design a global bit sender in distributed environment

• Design a with expiration time LRU cache

• Design a distributed lock

• Design a distributed system configuration center

• How to prepare HR interview

Last

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