Java Yumeng 2022-01-27 00:54:08 阅读数:439
As a senior Java Development , I've interviewed a lot of people in recent years . Find out that most interviewers , Although it seems to work hard , But the level of competence they show , But not enough to pass the interview , Or get the expected salary .
in my opinion , The reason for this is , There are mainly two aspects :
First of all ,“ Know what it is and don't know why it is ”. I've done technology for a few years , Developed some business applications , But I haven't thought about the logic behind these technology choices . therefore , It's hard for me to define their future growth potential , I will not trust to give them tasks with a certain depth .
second , Fragmentation of knowledge , No system . in fact , When the interviewer can't be complete 、 When you clearly describe the system you've developed or the technology you're using , The interviewer will wonder if he has the ability to solve complex problems 、 The ability to design complex systems .
therefore , If you just work hard , Or too much of an implementation detail , I haven't looked up at these technologies , So in preparation for the interview , It's necessary to sort it out Java Knowledge system , Only in this way can we win the satisfied Offer.
here , Share a document that helped me a lot 《Java Core skills 》 , I got it by accident , From a friend of mine , After reading it, he thought it was very good , Very detailed , comprehensive . I asked him where he came from , He only told me that he copied it from a big man who has worked for more than ten years .
The document covers knowledge :
Interview must ask :Java Basics 、 High concurrency 、 Multithreading 、 Distributed 、 Design patterns 、Spring Family bucket 、Java、MyBatis、ZooKeeper、Dubbo、Elasticsearch、Memcached、MongoDB、Redis、MySQL、RabbitMQ、Kafka、Linux、Netty、Tomcat And so on knowledge point detailed explanation and interview questions .
In document , It also starts from the knowledge points and necessary abilities of the interview investigation of large factories , Select out 485 Avenue Java Interview questions , It not only gives typical answers and test site analysis , It also analyzes Java Core knowledge points , Let you understand the key ability of interview , Help you get to “ Know why ” And systematic goals .
Java Basics
Java annotation
Java Reflection
Java Generic
Java Inner class
Java Copy
Java serialize
Java Exception classification processing
Java Basic brain maps
JAVA The basis corresponds to the detailed parsing document
JAVA The basis corresponds to the detailed parsing document
Java Multithreaded concurrency
JAVA Concurrent knowledge base
JAVA Thread realize / How it was created
4 Thread pool
Thread life cycle ( state )
Thread termination 4 Ways of planting
sleep And wait difference
start And run difference
JAVA Background thread
JAVA lock
Thread basic method
Thread context switch
Synchronization lock and deadlock
Thread pool principle
JAVA Blocking queue principle
CyclicBarrier、CountDownLatch、Semaphore Usage of
volatile The role of keywords ( Variable visibility 、 No reordering )
How to share data between two threads
ThreadLocal effect ( Thread local storage )
synchronized and ReentrantLock The difference between
ConcurrentHashMap Concurrent
Java Thread scheduling used in
Process scheduling algorithm
What is? CAS( Compare and exchange - Optimistic locking mechanism - Lock spin )
What is? AQS( Abstract queue synchronizer )
Java Multithreading concurrent brain mapping
Java Multithreading concurrent knowledge points corresponding to the detailed analysis of the document
Java Multithreading concurrent knowledge points corresponding to the detailed analysis of the document
JVM
Threads
JVM Memory area
JVM Run time memory
Garbage collection and algorithm
JAVA Four types of references
GC Generational collection algorithm VS Partition collection algorithm
GC Garbage collector
JAVA IO/NIO
JVM Class loading mechanism
JVM Brain map
JVM Brain map corresponding to detailed document analysis
JVM Detailed document analysis
Spring principle
Spring characteristic
Spring Core components
Spring Common modules
Spring Main package
Spring Commonly used annotations
Spring Third party combination
Spring IOC principle
Spring AOP principle
Spring MVC principle
Spring Boot principle
JPA principle
Mybatis cache
Tomcat framework
Spring Principle brain map
Spring The principle corresponds to the detailed parsing document
Spring The principle corresponds to the detailed parsing document
database
Storage engine
Indexes
Three paradigms of database
A database is a transaction
stored procedure
trigger
Database concurrency strategy
The database lock
be based on Redis Distributed lock
Partition table
Two phase submission agreement
Three stage submission agreement
Flexible business
CAP
The database corresponds to the detailed parsing document
The database corresponds to the detailed parsing document
Data structure and algorithm
data structure
encryption algorithm
JAVA Algorithm
Consistency algorithm
Data structure and algorithm brain map
Microservices
Service registration found
API gateway
Configuration center
Event scheduling (kafka)
Service tracking (starter-sleuth)
Service failure (Hystrix)
API management
Microservice brain map
Microservices are important for parsing documents
Microservices are important for parsing documents
Netty And RPC
Netty principle
Netty High performance
Netty RPC Realization
RMI Realization way
Protoclol Buffer
Thrift
Netty And RPC Brain map
Netty And RPC Corresponding to the detailed parsing document
Netty And RPC Corresponding to the detailed parsing document
The Internet
The Internet 7 Layer architecture
TCP/IP principle
TCP Three handshakes / Four waves
HTTP principle
CDN principle
Zookeeper
Zookeeper Concept
Zookeeper role
Zookeeper working principle ( Atomic broadcasting )
Znode There are four forms of directory nodes
Kafka
Kafka Concept
Kafka Data storage design
Producer design
Consumer Design
RabbitMQ
Concept
RabbitMQ framework
Exchange type
Hbase
Concept
The column type storage
Hbase The core concept
Hbase Core architecture
Hbase Writing logic
HBase vs Cassandra
Cassandra
Concept
Data model
Cassandra Agreement Hash And virtual nodes
Gossip agreement
Data replication
Data write request and coordinator
Data read request and background repair
data storage (CommitLog、MemTable、SSTable)
Secondary indexes ( To index value Abstract , Generate RowKey)
Data reading and writing
Load balancing
Four layer load balancing vs Seven layer load balancing
Load balancing algorithm / Strategy
LVS
Keepalive
Nginx Reverse agent load balancing
HAProxy
HaDoop
Concept
HDFS
MapReduce
Hadoop MapReduce The life cycle of the assignment
Spark
Concept
Core architecture
Core components
SPARK Programming model
SPARK Calculation model
SPARK Operation process
SPARK RDD technological process
SPARK RDD
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