How can I get an offer from a major factory? If I don’t have the absolute technology, I must keep learning.
How did I laugh at the Golden Nine and Silver Ten, I got offers from eight major companies such as Ali and Tencent. Today I share my secret weapon, the Java core knowledge points compiled by the Meituan God, and the knowledge points that the interviewer must ask during the interview. The chapter includes a lot of knowledge points, including basic knowledge, Java collections, JVM, multi-threaded concurrency, spring principles, microservices, Netty and RPC, Kafka, diary, design patterns, Java algorithms, databases, Zookeeper, distributed cache , Data structure, etc.
Since the entire document is relatively comprehensive and contains a lot of content, there may be some omissions and confusion in the knowledge I shared. The entire core knowledge points are organized in a pdf document. Friends who need it can see the method of obtaining in the picture!
JVM
- Thread
- JVM memory area
- JVM runtime memory
- Garbage collection and algorithms
- Four reference types in JAVA
- GC generational collection algorithm VS partition collection algorithm
- GC garbage collector
- JAVA IO / NIO
- JVM class loading mechanism
JAVA collection
- Interface inheritance and implementation
- List
- ArrayList (array)
- Vector (array implementation, thread synchronization)
- LinkList (linked list)
- Set
- HashSet(Hash表)
- TreeSet (binary tree)
JAVA multithreaded concurrency
- JAVA Concurrent Knowledge Base
- JAVA thread implementation / creation method
- 4 types of thread pools
- Thread life cycle (state)
- 4 ways to terminate threads
- The difference between sleep and wait
- The difference between start and run
- JAVA background thread
- JAVA lock
- Basic thread method 4.1.11. Thread context switch
- Synchronization and deadlock
- Principle of Thread Pool
- JAVA blocking queue principle
- Usage of CyclicBarrier, CountDownLatch, Semaphore
- The role of the volatile keyword (variable visibility, prohibit reordering)
- How to share data between two threads
JAVA basics
- JAVA abnormal classification and treatment
- JAVA reflection
- JAVA annotation
- JAVA inner class
- JAVA generic
- JAVA serialization (creating reusable Java objects)
- JAVA copy
Spring principle
- Spring features
- Spring core components
- Spring common modules
- Spring main package
- Spring common annotations
- Spring third-party integration
- Spring IOC principle
- Spring APO principle
- Spring MVC principle
- Spring Boot principle
- JPA principle
- Mybatis cache
- Tomcat architecture
Microservice
- Service registration discovery
- API gateway
- Configuration Center
- Event scheduling (kafka)
- Service tracking (starter-sleuth)
- Service Fuse (Hystrix)
- Hystrix circuit breaker mechanism
- API management
Netty 与RPC
- Netty principle
- Netty high performance
- Netty RPC implementation
- Key technology
- Core process
- Message codec
- Communication process
- RMI implementation
Distributed cache
- Cache avalanche
- Cache penetration
- Cache warm-up
- Cache update
- Cache degradation
The internet
- 7-layer network architecture
- TCP/IP principle
- TCP three-way handshake/four waved hands
- HTTP principle
- CDN principle
- Distribution service system
- Load balancing system
- Management system
Log
- Slf4j
- Log4j
- LogBack
- Logback advantages
- ELK
Zookeeper
- Zookeeper concept
- Zookeeper role
- Working principle of Zookeeper (atomic broadcast)
- Znode has four types of directory nodes
Kafka
- Kafka concept
- Kafka data storage design
- Data file of partition (offset, MessageSize, data)
- Data file segmentation (sequential read and write, segment command, binary search)
- Data file index (segment index, sparse storage)
- Producer design
- Load balancing (partitions will be evenly distributed to different brokers)
- Batch send
- Compression (GZIP or Snappy)
- Consumer design
RabbitMQ
- RabbitMQ concept
- RabbitMQ architecture
- Exchange type
Hbase
- Hbase concept
- Columnar storage
- Hbase core concept
- Hbase core architecture
- Hbase write logic
- HBase vs Cassandra
- MongoDB
- MongoDB concept
- MongoDB features
Cassandra
- Cassandra concept
- Data model
- Cassandra consistent hash and virtual node
- Gossip protocol
- Data replication
- Data write request and coordinator
- Data read request and background repair
- Data storage (CommitLog, MemTable, SSTable)
- Secondary index (a RowKey is generated for the value summary to be indexed)
- Data read and write
Design Patterns
- Design Principles
- Factory method pattern
- Abstract factory pattern
- Singleton mode
- Builder mode
- Prototype mode
- Adapter mode
- Decorator mode
- Agency model
- Appearance mode
- Bridge mode
- Combination mode
- Flyweight model
- Strategy mode
- Template method pattern
- Observer mode
- Iterative subpattern
- Chain of Responsibility Model
- Command mode
- Memo mode
Load balancing
- Layer 4 load balancing vs. Layer 7 load balancing
- Load balancing algorithm/strategy
- LVS
- Keepalive
- Nginx reverse proxy load balancing
- HAProxy
database
- Storage engine
- index
- Three paradigms of database
- Database is transaction
- Stored procedures (set of SQL statements for specific functions)
- Trigger (a program that can be executed automatically)
- Database concurrency strategy
- Database lock
- Distributed lock based on Redis
- Classification table
- Two-phase commit agreement
- Three-phase commit agreement
- Flexible transaction
- CAP
Consensus algorithm
- Paxos
- Oats
- Raft
- NWR
- Gossip
- Consistency Hash
- Consistent Hash feature
- Consistency Hash principle
JAVA algorithm
- Binary search
- Bubble sort algorithm
- Insertion sort algorithm
- Quick sort algorithm
- Hill sorting algorithm
- Merge sort algorithm
- Bucket sorting algorithm
- Base sorting algorithm
- Pruning algorithm
- Backtracking algorithm
- Shortest path algorithm
- Maximum subarray algorithm
- Longest Common Subsequence Algorithm
- Minimum spanning tree algorithm
data structure
- Stack
- Queue
- Link
- Hash Table
- Sorted binary tree
- Red black tree
- B-TREE
- bitmap
Encryption Algorithm
- AES
- RSA
- CRC
- MD5
Hadoop
- Hadoop concept
- HDFS
- Client
- NameNode
- Secondary NameNode
- DataNode
- MapReduce
- JobTracker
- TaskTracker
- Task
- Reduce Task execution process
- The life cycle of Hadoop MapReduce jobs
- Job submission and initialization
- Task scheduling and monitoring.
- Task operating environment preparation
- Task execution
- Homework completed
Spark
- Spark concept
- Core architecture
- Core components
- SPARK programming model
- SPARK calculation model
- SPARK operation process
- SPARK RDD process
- SPARK RDD
Storm
- Storm concept
- Cluster architecture
- Nimbus (master-code distribution to Supervisor)
- Supervisor (slave-manages the start and termination of the Worker process)
- Worker (process that specifically handles component logic)
- Task
- ZooKeeper
- Programming model (spout->tuple->bolt)
- opology operation
- Storm Streaming Grouping
- ResourceManager
- NodeManager
- ApplicationMaster
- YARN operation process
cloud computing
- SaaS
- PaaS
- IaaS
- Docker
- Openstack
- Namespaces
- Process (process isolation implemented by CLONE_NEWPID)
- Libnetwork and network isolation
- Resource isolation and CGroups
- Mirroring and UnionFS
- Storage driver
**Due to space limitation, 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!
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