JVM
JVM is the abbreviation of Java Virtual Machine (Java Virtual Machine). JVM is a specification for computing devices. It is a fictitious computer that is realized by simulating various computer functions on an actual computer.
After the introduction of the Java language virtual machine, the Java language does not need to be recompiled when it runs on different platforms. The Java language uses the Java virtual machine to shield the information related to the specific platform, so that the Java language compiler only needs to generate the object code (bytecode) that runs on the Java virtual machine, and it can run on multiple platforms without modification. .
Since there are too many details, only some of the knowledge points are screenshots for a rough introduction, and each small node has more detailed content!
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In-depth understanding of the Java virtual machine: JVM advanced features and best practices
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The first part approaches Java
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Chapter 1 Approaching Java
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The second part of automatic memory management mechanism
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Chapter 2 Java memory area and memory overflow exception
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Chapter 3 Garbage Collector and Memory Allocation Strategy
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Chapter 4 Virtual Machine Performance Monitoring and Troubleshooting Tools
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Chapter 5 Tuning Case Analysis and Actual Combat
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The third part of the virtual machine execution subsystem
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Chapter 6 Class File Structure
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Chapter 7 Virtual Machine Class Loading Mechanism
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Chapter 8 Virtual Machine Bytecode Execution Engine
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Chapter 9 Class Loading and Execution Subsystem Cases and Actual Combat
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The fourth part of the program compilation and code optimization
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Chapter 10 Early (Compile Time) Optimization
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Chapter 11 Late (runtime) optimization
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Part 5 Efficient Concurrency
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Chapter 12 Java Memory Model and Threads
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Chapter 13 Thread Safety and Lock Optimization
ava multithreaded programming
Java provides built-in support for multithreaded programming. A thread refers to a single sequential control flow in a process. Multiple threads can be concurrent in a process, and each thread executes different tasks in parallel.
Multithreading is a special form of multitasking, but multithreading uses less resource overhead.
Another term related to threads is defined here-process: A process includes the memory space allocated by the operating system and contains one or more threads. A thread cannot exist independently, it must be part of the process. A process has been running until all non-daemon threads have finished running.
Multithreading can satisfy programmers to write highly efficient programs to achieve the purpose of making full use of the CPU.
Since there are too many details, only some of the knowledge points are screenshots for a rough introduction, and each small node has more detailed content!
Java multithreaded programming core technology_full version
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Chapter 1 Java Multithreading Skills
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Chapter 2 Concurrent Access to Objects and Variables
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Chapter 3 Inter-Thread Communication
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Chapter 4 Use of Lock
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Chapter 5 Timer
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Chapter 6 Singleton Mode and Multithreading
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Chapter 7 Supplements
Kafka
Kafka is an open source stream processing platform developed by the Apache Software Foundation, written in Scala and Java. Kafka is a high-throughput distributed publish-and-subscribe messaging system that can process all the action flow data of consumers on the website. Such actions (web browsing, search and other user actions) are a key factor in many social functions on the modern web. These data are usually resolved by processing logs and log aggregation due to throughput requirements. For log data and offline analysis systems like Hadoop, but with the limitations of real-time processing, this is a feasible solution. The purpose of Kafka is to unify online and offline message processing through Hadoop's parallel loading mechanism, and also to provide real-time messages through clusters.
Since there are too many details, only some of the knowledge points are screenshots for a rough introduction, and each small node has more detailed content!
Deep understanding of Kafka: core design and practical principles
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Chapter 1 Getting to Know Kafka
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Chapter 2 Producers
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Chapter 3 Consumers
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Chapter 4 Topics and Divisions
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Chapter 5 Log Storage
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Chapter 6 Deep into the server
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Chapter 7 In-depth Client
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Chapter 8 Reliability Research
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Chapter 9 Kafka Application
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Chapter 10 Kafka Monitoring
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Chapter 11 Advanced Applications
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Chapter 12 Integration of Kafka and Spark
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Appendix A: Kafka source environment setup
Deep analysis of Sping source code
I won’t introduce more about this book, I believe many friends have read that the author is Hao Jia
Mainly introduces the spring source code from two parts: core implementation, enterprise application
1. Spring core implementation
Pay attention to the WeChat public account: [Programming Technician] to check how to obtain information for free!
Two, enterprise applications
Redis
Redis is a key-value storage system. Similar to Memcached, it supports relatively more value types for storage, including string (string), list (linked list), set (collection), zset (sorted set - ordered set) and hash (hash type). These data types all support push/pop, add/remove, intersection, union and difference, and richer operations, and these operations are all atomic. On this basis, redis supports a variety of different ways of sorting. Like memcached, in order to ensure efficiency, data is cached in memory. The difference is that redis periodically writes updated data to disk or writes modification operations to additional record files, and on this basis, it realizes master-slave (master-slave) synchronization.
Redis is a high-performance key-value database. The emergence of redis has largely compensated for the inadequacy of key/value storage such as memcached, and can play a good supplementary role in relational databases in some cases. It provides clients for Java, C/C++, C#, PHP, JavaScript, Perl, Object-C, Python, Ruby, Erlang, etc., which is very convenient to use.
Redis supports master-slave synchronization. Data can be synchronized from the master server to any number of slave servers, and the slave server can be the master server associated with other slave servers. This allows Redis to perform single-level tree replication. Save to disk can write data intentionally or unintentionally. Since the publish/subscribe mechanism is fully implemented, when the slave database is synchronizing the tree anywhere, it can subscribe to a channel and receive the complete message publishing record of the master server. Synchronization is very helpful for the scalability and data redundancy of read operations.
The official website address of redis, very easy to remember, is redis.io. (I specifically checked, the domain name suffix io belongs to the national domain name, which is the british Indian Ocean territory, that is, the British Indian Ocean Territory)
Currently, VMware is funding the development and maintenance of the redis project.
Since there are too many details, only some of the knowledge points are screenshots for a rough introduction, and each small node has more detailed content!
Redis actual combat core articles
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Chapter 1 Getting to Know Redis
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Chapter 2 Using Redis to Build Web Applications
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Core Concepts of Part Two
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Chapter 3 Redis Commands
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Chapter 4 Data Security and Performance Assurance
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Chapter 5 Using Redis to Build Support Programs
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Chapter 6 Using Redis to Build Application Components
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Chapter 7 Search-Based Applications
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Chapter 8 Building a Simple Social Website
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The third part of advanced content
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Chapter 9 Reducing Memory Usage
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Chapter 10 Extending Redis
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Chapter 11 Redis Lua Script Programming
Nginx
Nginx (engine x) is a high-performance HTTP and reverse proxy web server. It also provides IMAP/POP3/SMTP services. Nginx was developed by Igor Sesoyev for the second most visited site in Russia, Rambler.ru (Russian: Рамблер). The first public version 0.1.0 was released on October 4, 2004.
It releases its source code in the form of a BSD-like license, and is known for its stability, rich feature set, sample configuration files and low system resource consumption. On June 1, 2011, nginx 1.0.4 was released.
Nginx is a lightweight web server/reverse proxy server and email (IMAP/POP3) proxy server, issued under the BSD-like protocol. Its characteristics are that it occupies less memory and has strong concurrency. In fact, the concurrency of nginx does perform better in the same type of web server. Mainland Chinese users of nginx websites include: Baidu, JD, Sina, NetEase, Tencent, Taobao, etc.
Since there are too many details, only some of the knowledge points are screenshots for a rough introduction, and each small node has more detailed content!
Nginx actual combat core
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Chapter 1 Introduction to Nginx
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Chapter 2 Installation and Configuration of Nginx Server
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Chapter 3 Basic Configuration and Optimization of Nginx
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Chapter 4 Installation, Configuration and Optimization of Nginx and PHP (FastCGI)
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Chapter 5 Installation and Configuration of Nginx and JSP, ASP.NET and Perl
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Chapter 6 Configuration and Optimization of Nginx HTTP Load Balancing and Reverse Proxy
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Chapter 7 Nginx Rewrite Rules and Examples
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Chapter 8 Nginx Module Development
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Chapter 9 Nginx’s Web Cache Service and Sina’s Open Source NCACHE Module
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Chapter 10 Application Cases of Nginx in Well-known Domestic Websites
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Chapter 11 Atypical Application Examples of Nginx
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Chapter 12 Nginx Core Modules
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Chapter 13 Nginx's Standard HTTP Module
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Chapter 14 Other HTTP Modules of Nginx
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Chapter 15 Nginx Mail Module
High-performance MySQL
High-performance MySQL is a book that shares practical experience with MySQL. It can not only help MySQL beginners improve their skills, but also the more experienced MySQL DBA points out the way to develop high-performance MySQL applications.
High-performance MySQL (Section 2 contains 16 chapters and 6 appendices, covering MySQL system architecture, design and application skills, SQL statement optimization, server performance tuning, system configuration management and security settings, monitoring analysis, and replication, expansion, and backup/ The content of each chapter is self-contained and suitable for selective reading by those skilled in various fields.
Since there are too many details, only some of the knowledge points are screenshots for a rough introduction, and each small node has more detailed content!
High-performance MySQL practical e-book
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Chapter 1 MySQL Architecture and History
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Chapter 2 MySQL Benchmark Test
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Chapter 3 Server Performance Analysis
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Chapter 4 Schema and Data Type Optimization
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Chapter 5 Creating High-Performance Indexes
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Chapter 6 Query Performance Optimization
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Chapter 7 MySQL Advanced Features
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Chapter 8 Optimizing Server Settings
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Chapter 9 Operating System and Hardware Optimization
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Chapter 10 Copy
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Chapter 11 Scalable MySQL
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Chapter 12 High Availability
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Chapter 13 MySQL in the Cloud
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Chapter 14 Application Layer Optimization
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Chapter 15 Backup and Recovery
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Chapter 16 MySQL User Tools
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Appendix A MySQL branches and variants
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Appendix B MySQL Server Status
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Appendix C Large File Transfer
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Appendix D EXPLAIN
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Appendix E Lock debugging
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Appendix F Using Sphinx on MySQL
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