Gan! Ali P9 has worked overtime for more than 4 months. This Java core note contains more than 30 technical points.

The competition in the Internet industry has undoubtedly become more intense. Most of the previous job hunting positions are in short supply. Many people can enter large factories and get high salaries. And now some positions have begun to enter the balance of supply and demand, or even oversupply, this is the time to fight for personal strength (of course, fight for father is also an option, manual and funny). Natural selection and survival of the fittest are two sentences I often think about. It is not only reflected in nature, but also in human life. If you want to enter a big factory, want to get a higher salary, become a general manager, become a CEO, and marry Bai Fumi (Gao Fu Shuai), you must improve your own strength. This is something that no one else can help you. The era of iron rice bowls is over long ago. Now that we want to survive in this ever-changing era, it must not be a wrong choice to keep learning and embrace change.

The editor here shares a pdf document of Java must-learn knowledge from basics to architects summarized by Ali P9. It is also a knowledge point frequently asked by interviewers during interviews, including basic knowledge, Java collections, JVM, and more Thread concurrency, spring principle, microservices, Netty and RPC, Kafka, diary, design pattern, Java algorithm, database, Zookeeper, distributed cache, data structure, etc.

Due to space limitations, the detailed information of the pdf document is too comprehensive, and the details are too much, so only some of the knowledge points are screenshots for a rough introduction, and each small node has more detailed content!

Friends who need a complete PDF: one-click triple + comment, and then add my VX (tkzl6666) to receive it for free.

JAVA collection

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

 

JVM

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

 

 

JAVA multi-threaded concurrency

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

 

 

JAVA basics

1. JAVA abnormal classification and treatment
2. JAVA reflection
3. JAVA annotation
4. JAVA inner class
5. JAVA generics
6. JAVA serialization (creating reusable Java objects)
7. JAVA copy

 

Spring principle

1. Spring features
2. Spring core components
3. Spring common modules
4. Spring main package
5. Spring common annotations
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

 

 

Microservice

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 degradation

 

The internet

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

 

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Log

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

 

Zookeeper

1. Zookeeper concept
2. Zookeeper role
3. Working principle of Zookeeper (atomic broadcast)
4. Znode has four types of directory nodes

 

Kafka

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

 

 

RabbitMQ

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

 

Hbase

1. Hbase concept
2. Columnar storage
3. Hbase core concept
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 (a RowKey is generated for the summary of the value to be indexed)
10. Data read and write

 

Design Patterns

1. Design Principles
2. Factory method pattern
3. Abstract factory pattern
4. Singleton mode
5. Builder mode
6. Prototype mode
7. Adapter mode
8. Decorator mode
9. Agency model
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. Three paradigms of database
4. The database is a transaction
5. Stored procedure (a set of SQL statements for a specific function)
6. Trigger (a program that can be executed automatically)
7. Database concurrency strategy
8. Database lock
9. Distributed lock based on Redis
10. Classification table
11. Two-phase commit agreement
12. Three-phase commit agreement
13. Flexible transaction
14. CAP

 

 

Consensus algorithm

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

 

JAVA algorithm

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

 

data structure

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

 

Encryption Algorithm

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

 

Hadoop

1. Hadoop concept
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. The life cycle of Hadoop MapReduce jobs
13. Job submission and initialization
14. Task scheduling and monitoring.
15. Task operating 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 distribution to Supervisor)
4. Supervisor (slave-manages the start and termination of the Worker process)
5. Worker (process that specifically handles component logic)
6. Task
7. ZooKeeper
8. Programming model (spout->tuple->bolt)
9. opology operation
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

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