Last week, the company asked me to meet 32 Year old Java programmer
, Every aspect was very good , Ask anything , For distributed , Microservices ,Spring The source code answered well , The project has been hyped up for a while , It made me feel that I might have met rare talents ! I was just about to ask one or two questions when I finished , Something's wrong , This is very wrong , it's a pity ……
The last question is actually a hundred million level traffic JVM How to optimize practical problems , I can't answer , I almost shed tears when I left ... alas !
Many programmers will also encounter problems similar to high concurrency scenarios in their work , Often helpless , Take a look at these scenes. Are you familiar ：
Online system CPU,IO, The memory is suddenly full , Interface response time is too long
The online system is suddenly stuck and inaccessible , Frequently received GC call the police
Sudden memory overflow of online system OOM, Memory leak cannot be located
I don't know how to set the online production environment JVM Various parameters
yes JVM The details of various garbage collectors are blurred
For the double ten first-line system JVM Know nothing about how to optimize
Most people are always masked when they encounter these performance problems , Then turn over blogs or read books online , But found it almost difficult to find the right solution .
Of course, some people do the system on a small scale , I haven't encountered any similar problems , But I was asked similar questions during the job hopping interview , I can only spread my hands ..
Here I asked myself a lot of guys around me to come , The most complete information is free to share with you , Whether used to consolidate the foundation , It is also useful to improve competitiveness in the interview .
Some screenshots are shown below , The download method is at the end of the article , Free download !
1.Java Concurrent programming
（ involve Java Working principle and application of multithreading ,Java Working principle and application of thread pool , And lock , Process scheduling algorithm, etc )
2. Principle and application of distributed cache
( Introduction to distributed caching ,Ehcache Principle and Application ,Redis Principle and Application , The core issues of distributed cache design )
3.ZooKeeper Principle and Application
( involve ZooKeeper Election mechanism ,ZooKeeper Data model and ZooKeeper Application scenarios, etc )
4.Netty Principle and application of network programming
5.Kafka Principle and Application
( involve Kafka form ,Kafka Data storage design ,Kafka Producer concurrent design ,Kafka Consumer concurrent design , as well as Kafka Installation and Application )
6. Design mode
( Involving common 23 A classic design pattern )
7.Spring Principle and Application
( involve Spring IoC principle ,Spring AOP principle ,Spring MVC principle , affair ,MyBatis Cache and other contents )
8.Spring Cloud Principle and Application
( involve Spring Boot,Spring Cloud
Nacos,Eureka,Consul,Sentinel,Hystrix,Seata,Zuul and Spring Cloud Link monitoring, etc )
9. Data structure and algorithm
( Involving stack , queue , Linked list , Hash table , Binary tree , Red black tree , Graphs and bitmaps , Binary search , Bubble sorting , Insert sort , Quick sort , Shell Sort , Merge sort , Bucket sorting , Cardinality sorting algorithm, etc )
10. Network and load balancing principle
( involve TCP/IP,HTTP, Common load balancing algorithms and LVS Principle, etc )
( involve JVM operating mechanism ,JVM Memory model , Common garbage collection algorithms and JVM Class loading mechanism, etc )
12.ElasticSearch Principle and Application
( involve ElasticSearch data model ,ElasticSearch Distributed architecture ,ElasticSearch Data reading and writing principle and segment merging )
13.Spark Principle and Application
( involve Spark characteristic ,Spark Module composition ,Spark operating mechanism , as well as Spark RDD,Spark Streaming,Spark
SQL,DataFrame,DataSet,Spark Structured Streaming Principle and application of )
14.Flink Principle and Application
( involve Flink Core concept ,Flink framework ,Flink Event driven model ,Flink Data analysis and Application Flink State based memory calculation, etc )
15.Hadoop Principle and Application
( involve HDFS,MapReduce,YARN Other contents )
16.HBase Principle and Application
( involve HBase Column storage data model ,HBase Architecture composition and HBase Data reading and writing process, etc )
There are too many contents to show one by one , I hope it can help you understand the knowledge points more comprehensively , And review well before the interview and find a good job , It also saves you time to study by searching for information on the Internet !
Click on the business card below if you need , Code scanning for free .