About programmers, in addition to doing projects to improve their skills, there is a way to improve their professional skills is: more! Look! Book!

Ma has compiled a core knowledge of the path to Java advanced Architect, which is also a must-ask knowledge during the interview. The chapter also includes many knowledge points. These include the basics, Java collections, JVMS, multi-threaded concurrency, Spring Principles, microservices, Netty and RPC, Kafka, diaries, design patterns, Java algorithms, databases, Zookeeper, distributed caching, data structures, and more!

Due to the details in the PDF document is too much so only edited part of the knowledge points of the chapter rough introduction, each chapter of the small nodes there are more detailed content! The following is part of the chapter table of contents. Due to the space limit of the headlines, the detailed explanation in the table of contents cannot be listed one by one. At the end of this article, all the detailed knowledge in the following chapters can be obtained.

JVM

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

Due to the space limit, the details are too much, so only part of the knowledge point screenshots out of the rough introduction, each small node inside have more detailed content! Partners in need can click on [here】 get

JAVA collection

  1. Interface inheritance and implementation
  2. List
  3. ArrayList
  4. Vector (Array implementation, thread synchronization)
  5. LinkList
  6. Set
  7. HashSet
  8. TreeSet

JAVA multithreaded concurrency

  1. JAVA Concurrent Knowledge base
  2. JAVA thread implementation/creation
  3. Four thread pools
  4. Thread life cycle (state)
  5. There are four ways to terminate a thread
  6. To sleep is different from to wait
  7. Start is different from run
  8. JAVA background thread
  9. JAVA lock
  10. Thread Basics 4.1.11. Thread context switching
  11. Synchronous locks and deadlocks
  12. Thread Pool Principle
  13. JAVA blocking queue principle
  14. CyclicBarrier, CountDownLatch, Semaphore
  15. The role of the volatile keyword (variable visibility, disallow reordering)
  16. How do I share data between two threads

JAVA based

  1. JAVA exception classification and processing
  2. JAVA reflection
  3. JAVA annotations
  4. JAVA inner class
  5. JAVA generics
  6. JAVA serialization (creating reusable JAVA objects)
  7. JAVA copy

Principle of the Spring

  1. Spring characteristics
  2. Spring Core Components
  3. Spring Common Modules
  4. Spring is mainly package
  5. Spring Spring
  6. Spring third-party integration
  7. Principle of the Spring IOC
  8. Spring APO principle
  9. Spring MVC principles
  10. Spring Boot principle
  11. JPA principle
  12. Mybatis cache
  13. Tomcat architecture

Due to the limited length of the small series, the details are too much, so only part of the knowledge point screenshots out of the rough introduction, each small node there are more detailed content!

Partners in need can click on [here】 get

Micro service

  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 and RPC

  1. Netty principle
  2. Netty high-performance
  3. Netty RPC implementation
  4. The key technology
  5. The core processes
  6. Message codec
  7. The communication process
  8. RMI implementation

Distributed cache

  1. Cache avalanche
  2. The cache to penetrate
  3. Cache warming
  4. The cache update
  5. Cache the drop

network

  1. Network layer 7 architecture
  2. Principle of TCP/IP
  3. TCP three handshakes/four waves
  4. Principle of HTTP
  5. Principle of CDN
  6. Distribution service system
  7. Load balancing system
  8. Management system

The log

  1. Slf4j
  2. Log4j
  3. LogBack
  4. Advantages of Logback
  5. ELK

Zookeeper

  1. Zookeeper concepts
  2. Zookeeper role
  3. How Zookeeper works (Atomic Broadcast)
  4. Znode has four types of directory nodes

Kafka

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

RabbitMQ

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

Hbase

  1. Hbase concept
  2. The column type storage
  3. Hbase Core Concepts
  4. Hbase Core Architecture
  5. Hbase write logic
  6. HBase vs Cassandra
  7. MongoDB
  8. Directing a concept
  9. Mongo characteristics

Cassandra

  1. Cassandra concept
  2. The data model
  3. Cassandra is consistent with Hash and virtual nodes
  4. Gossip protocols
  5. Data replication
  6. Data write requests and coordinators
  7. Data read request and background repair
  8. Data stores (CommitLog, MemTable, and SSTable)
  9. Secondary index (Generate RowKey for the value summary to be indexed)
  10. Read and write data

Design patterns

  1. Design principles
  2. Factory method pattern
  3. Abstract Factory pattern
  4. The singleton pattern
  5. Builder model
  6. The prototype pattern
  7. Adapter mode
  8. Decorator mode
  9. The proxy pattern
  10. The appearance model
  11. The bridge model
  12. Portfolio model
  13. The flyweight pattern
  14. The strategy pattern
  15. Template method pattern
  16. Observer model
  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/policy
  3. LVS
  4. Keepalive
  5. Nginx reverse proxy load balancer
  6. HAProxy

The database

  1. The storage engine
  2. The index
  3. Database three paradigm
  4. Databases are transactions
  5. Stored procedures (a set of SQL statements for a specific function)
  6. Trigger (a piece of program that can execute automatically)
  7. Database concurrency Strategy
  8. The database lock
  9. Redis based distributed lock
  10. The partition table
  11. Two-phase commit protocol
  12. Three-phase commit protocol
  13. Flexible transaction
  14. CAP

Consistency algorithm

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

JAVA algorithm

  1. Binary search
  2. Bubble sort algorithm
  3. Insertion sort algorithm
  4. Quicksort algorithm
  5. Hill sorting algorithm
  6. Merge sort algorithm
  7. Bucket sorting algorithm
  8. Radix sort 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

The data structure

  1. The stack (stack)
  2. Queue
  3. Linked list
  4. Hash Table
  5. Sort binary trees
  6. Red and black tree
  7. B-TREE
  8. The bitmap

The 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. Life cycle of Hadoop MapReduce jobs
  13. Job submission and initialization
  14. Task scheduling and monitoring.
  15. Prepare the task running environment
  16. Task execution
  17. Job completion

Spark

  1. The Spark concept
  2. Core architecture
  3. Core components
  4. SPARK programming model
  5. SPARK computing model
  6. SPARK Running Process
  7. The SPARK RDD process
  8. SPARK RDD

Storm

  1. Storm concept
  2. Cluster architecture
  3. Nimbus (Master – Code distributed to Supervisor)
  4. Supervisor (slave- Manages the startup and termination of Worker processes)
  5. Worker (process that deals specifically with component logic)
  6. Task
  7. ZooKeeper
  8. Programming model (spout->tuple-> Bolt)
  9. Opology run
  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. Processes (process isolation for CLONE_NEWPID implementation)
  8. Libnetwork is isolated from the network
  9. Resource isolation and CGroups
  10. Mirror with UnionFS
  11. Storage drive

Due to the space limitation, the detailed information of the PDF document is too comprehensive, and the details are too much, so I only give a rough introduction to some knowledge points by taking screenshots, and each small node has more detailed content!

Partners in need can click on [here】 get

How to obtain free architecture learning Materials?

Information acquisition method:

Java interview

Content includes Java basics, collection classes, Hashmap, locking, volatile, synchronized Lock ReentrantLock AQS CAS, Java multithreading, Java advanced SSH \ SSM framework, Java memory model and garbage collection, JUC packages, design patterns, algorithms, massive data, data structures in algorithms, databases, networks, Linux commands, and so on

Jaav basis

Hashmap

Volatile and synchronized

The lock

Java multi-thread

Java advanced SSH \ SSM framework

Java memory model and garbage collection


Design patterns

algorithm

Massive database

Data structures and algorithms


Due to the space limitation, the detailed information of these two PDF documents is too comprehensive and the details are too much, so I only give a rough introduction to some knowledge points by taking screenshots, and there are more detailed contents in each small node!

Partners in need can click on [here】 get

sum