In 2020, with this pdf, I successfully got the offer from eight major manufacturers such as Ant Financial, ByteDance, Tencent and JD.

Every gold, silver and silver four, getting a big factory offer has always been a goal of programmer friends. How did I get a big factory offer? Today I will share with you the weapon I got the big factory offer, the core knowledge of the big factory Interview Collection, 375 Pages Collection, including jvm, java collection, java multi-threaded concurrency, java foundation, spring principles, microservices, network, logging, zookeeper, kafka, mongoDB, design pattern, load balancing, database, data structure Distributed cache.

The content of the entire core knowledge point is very detailed. Many knowledge points will have some deficiencies when they are summarized. They will not show all the contents in the article. They are all organized in a pdf. It can help everyone during the interview. Pay attention to the editor's likes and add the blogger vx: AAAMAXIAOXIN to receive it for free. Thanks for watching and trusting!

Because there are too many details in the pdf document, only a part of the knowledge points are edited in a rough introduction. Each chapter has more detailed content in the small node! The following is a list of some chapters. Due to space limitations, the detailed explanations on the catalogs cannot be listed one by one. At the end of the article, all the detailed knowledge of the following chapters is explained.

 

Because there are too many details in the pdf document, only a part of the knowledge points are edited in a rough introduction. Each chapter has more detailed content in the small node! The following is a list of some chapters. Due to space limitations, the detailed explanations on the catalogs cannot be listed one by one. At the end of the article, all the detailed knowledge of the following chapters is explained.

JVM

1. Thread
2. JVM memory area
3. JVM runtime memory
4. Garbage collection and algorithms
5. Java four reference types
6. GC generation collection algorithm VS partition collection algorithm
7. GC garbage collector
8. JAVA IO / NIO
9. JVM class loading mechanism

 

 

JAVA collection

1. Interface inheritance and implementation
2. List
3. ArrayList (array)
4. Vector (array implementation, thread synchronization)
5. LinkList (link list)
6. Set
7. HashSet（Hash表）
8. TreeSet (binary tree)

 

JAVA multi-threaded concurrency

1. JAVA Concurrency Knowledge Base
2. JAVA thread implementation / creation method
3. 4 thread pools
4. Thread life cycle (state)
5. 4 ways to terminate threads
6. The difference between sleep and wait
7. difference between start and run
8. JAVA background thread
9. JAVA lock
10. Thread basic method 4.1.11. Thread context switching
11. Synchronous lock and deadlock
12. Thread pool principle
13. JAVA blocking queue principle
14. Usage of CyclicBarrier, CountDownLatch, Semaphore
15. The role of the volatile keyword (variable visibility, reordering prohibited)
16. How to share data between two threads

 

JAVA basics

1. JAVA exception classification and processing
2. JAVA reflection
3. JAVA notes
4. JAVA inner class
5. JAVA generic
6. Java serialization (creating reusable Java objects)
7. JAVA replication

 

Spring principle

1. Spring features
2. Spring core components
3. Spring common modules
4. Spring main package
5. Spring common notes
6. Spring third-party integration
7. Spring IOC principle
8. Spring APO principle
9. Spring MVC principle
10. Spring Boot principle
11. JPA principle
12. Mybatis cache
13. Tomcat architecture

 

 

Microservices

1. Service registration discovery
2. API Gateway
3. Configuration Center
4. Event scheduling (kafka)
5. Service tracking (starter-sleuth)
6. Service fuse (Hystrix)
7. Hystrix circuit breaker mechanism
8. API management

 

Netty 与RPC

1. Netty principle
2. Netty high performance
3. Netty RPC implementation
4. Key technology
5. Core process
6. Message codec
7. Communication process
8. RMI implementation

 

Distributed cache

1. Cache avalanche
2. Cache penetration
3. Cache warm up
4. Cache update
5. Cache downgrade

 

The internet

1. Network 7-layer architecture
2. TCP / IP principle
3. TCP three-way handshake / four-way wave
4. HTTP principle
5. CDN principle
6. Distribution Service System
7. Load balancing system
8. Management System

 

Log

1. Slf4j
2. Log4j
3. LogBack
4. Logback advantages
5. ELK

 

Zookeeper

1. Zookeeper concept
2. Zookeeper character
3. How Zookeeper works (atomic broadcast)
4. Znode has four forms of directory nodes

 

Kafka

1. Kafka concept
2. Kafka data storage design
3. Data file of partition (offset, MessageSize, data)
4. Segmentation of data files (sequential read and write, segmentation commands, binary search)
5. Data file index (segmented index, sparse storage)
6. Producer design
7. Load balancing (partition will be evenly distributed to different brokers)
8. Bulk sending
9. Compression (GZIP or Snappy)
10. Consumer design

 

RabbitMQ

1. RabbitMQ concept
2. RabbitMQ architecture
3. Exchange type

 

Hbase

1. Hbase concept
2. Column storage
3. Hbase core concepts
4. Hbase core architecture
5. Hbase write logic
6. HBase vs Cassandra
7. MongoDB
8. MongoDB concept
9. MongoDB features

 

Cassandra

1. Cassandra concept
2. Data model
3. Cassandra consistent hash and virtual node
4. Gossip protocol
5. Data replication
6. Data write request and coordinator
7. Data read request and background repair
8. Data storage (CommitLog, MemTable, SSTable)
9. Secondary index (generate RowKey for the value summary to be indexed)
10. Data reading and writing

 

Design Patterns

1. Design Principles
2. Factory method pattern
3. Abstract factory pattern
4. Singleton pattern
5. Builder Mode
6. Prototype mode
7. Adapter mode
8. Decorator pattern
9. Proxy mode
10. Appearance mode
11. Bridge Mode
12. Combination mode
13. Flyweight model
14. Strategy Mode
15. Template method pattern
16. Observer mode
17. Iterative subpattern
18. Chain of responsibility model
19. Command mode
20. Memo mode

 

Load balancing

1. Layer 4 load balancing vs. layer 7 load balancing
2. Load balancing algorithm / strategy
3. LVS
4. Keepalive
5. Nginx reverse proxy load balancing
6. HAProxy

 

database

1. Storage engine
2. index
3. Database three paradigm
4. Database is a transaction
5. Stored procedures (SQL statements for specific functions)
6. Trigger (a program that can be automatically executed)
7. Database concurrency strategy
8. Database lock
9. Based on Redis distributed lock
10. Classification table
11. Two-phase submission agreement
12. Three-phase submission agreement
13. Flexible transaction
14. CAP

 

Consensus algorithm

1. Paxos
2. oat
3. Raft
4. NWR
5. Gossip
6. Consistency hash
7. Consistent Hash feature
8. Consistent Hash principle

 

JAVA algorithm

1. Binary search
2. Bubble Sorting Algorithm
3. Insertion sort algorithm
4. Quick Sort Algorithm
5. Hill Sorting Algorithm
6. Merge sort algorithm
7. Bucket sorting algorithm
8. Cardinality Sorting Algorithm
9. Pruning algorithm
10. Backtracking algorithm
11. Shortest path algorithm
12. Maximum subarray algorithm
13. Longest common suborder algorithm
14. Minimum spanning tree algorithm

 

data structure

1. Stack
2. Queue
3. Link (Link)
4. Hash Table
5. Sort binary tree
6. Red black tree
7. B-TREE
8. bitmap

 

Encryption Algorithm

1. AES
2. RSA
3. CRC
4. MD5

 

Hadoop

1. Hadoop concepts
2. HDFS
3. Client
4. NameNode
5. Secondary NameNode
6. DataNode
7. MapReduce
8. JobTracker
9. TaskTracker
10. Task
11. Reduce Task execution process
12. Hadoop MapReduce job life cycle
13. Job submission and initialization
14. Task scheduling and monitoring.
15. Task running environment preparation
16. Task execution
17. Homework completed

 

Spark

1. Spark concept
2. Core architecture
3. Core components
4. SPARK programming model
5. SPARK calculation model
6. SPARK operation process
7. SPARK RDD process
8. SPARK RDD

 

Storm

1. Storm concept
2. Cluster architecture
3. Nimbus (master-code distributed to Supervisor)
4. Supervisor (slave-management of worker process start and termination)
5. Worker (the process that specifically handles the logic of the component)
6. Task
7. ZooKeeper
8. Programming model (spout-> tuple-> bolt)
9. opology running
10. Storm Streaming Grouping
11. ResourceManager
12. NodeManager
13. ApplicationMaster
14. YARN operation process

 

cloud computing

1. SaaS
2. PaaS
3. IaaS
4. Docker
5. Openstack
6. Namespaces
7. Process (process isolation implemented by CLONE_NEWPID)
8. Libnetwork and network isolation
9. Resource isolation and CGroups
10. Mirroring and UnionFS
11. Storage driver

 

This article is the core knowledge of Java advanced architect road, and it is also the knowledge point that the interviewer must ask during the interview. The chapter also includes many knowledge points, including basic knowledge, Java collection, JVM, multi-threaded concurrency, Spring principles, microservices, Netty and RPC, Kafka, diary, design patterns, Java algorithms, databases, Zookeeper, distributed cache, data structures, etc.

For those who need it, there is a way to get it at the beginning of the article!