Java multithreaded programming core technology _ complete version

Chapter 1 Java multithreading skills

Chapter 2. Concurrent access to objects and variables

Chapter 3. Interthread Communication

Chapter 4: Use of Lock

Chapter 5 Timer

Chapter 6 singleton patterns and multithreading

Chapter 7 addenda

Java provides built-in support for multithreaded programming. A thread is a single sequential flow of control in a process, and multiple threads can be concurrent in a process, each performing a different task in parallel.

Multithreading is a special form of multitasking, but it uses less resource overhead.

Another thread-related term is defined here – process: a process consists of memory allocated by the operating system and contains one or more threads. A thread cannot exist on its own; it must be part of a process. A process runs until all non-daemons have finished running.

Multithreading can satisfy programmers to write efficient programs to make full use of CPU.

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Redis combat core

Chapter 1 First acquaintance with Redis

Chapter 2 uses Redis to build Web applications

The second part is core concept

Chapter 3 Redis command

Chapter 4 Data security and performance assurance

Chapter 5 uses Redis to build support

Chapter 6 uses Redis to build application components

Chapter 7 search-based applications

Chapter 8: Building a simple social network

The third part advanced content

Chapter 9: Reduce Memory Footprint

Chapter 10 extends Redis

Chapter 11 Lua scripting for Redis

Redis is a key-value storage system. Like Memcached, it supports storing a relatively large number of value types, including String (string), list(linked list), set(collection), zset(sorted set — ordered set), and hash (hash). All of these data types support push/ POP, add/remove, intersection union and difference sets, and richer operations, all of which are atomic. On this basis, Redis supports sorting in various ways. As with memcached, the data is cached in memory for efficiency. The difference is that Redis periodically writes the updated data to disk or the modified operation to the appended record file, and on this basis realizes master-slave synchronization.

Redis is a high performance key-value database. Redis largely compensates for memcached key/value storage and complements relational databases in some cases. It provides Java, C/C++, C#, PHP, JavaScript, Perl, object-C, Python, Ruby, Erlang and other clients, easy to use. [1]

Redis supports master/slave synchronization. Data can be synchronized from the primary server to any number of secondary servers, which can be the primary server associated with other secondary servers. This allows Redis to perform single-layer tree replication. Data can be written intentionally or unintentionally. The fully implemented publish/subscribe mechanism makes it possible to subscribe to a channel and receive a complete record of message releases from the master server when the tree is synchronized anywhere from the database. Synchronization helps with scalability and data redundancy for read operations.

The official address of Redis, very easy to remember, is redis. IO. (please check the suffix IO belongs to the national domain name, which is British Indian Ocean Territory.)

Vmware is funding the development and maintenance of the Redis project.

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The core of Nginx

Chapter 1 Introduction to Nginx

Chapter 2 Nginx server installation and configuration

Chapter 3 basic configuration and optimization of Nginx

Chapter 4 Nginx and PHP(FastCGI) installation, configuration and optimization

Chapter 5 Nginx and JSP, ASP.NET, Perl installation and configuration

Chapter 6 Nginx HTTP load balancing and reverse proxy configuration and optimization

Chapter 7. Rewrite rules and examples for Nginx

Chapter 8 Nginx module development

Chapter 9 Nginx Web cache service and the open source NCACHE module of Sina

Chapter 10 is the application case of Nginx in well-known websites in China

Chapter 11 is an atypical application of Nginx

Chapter 12 Nginx core modules

Chapter 13 Nginx’s standard HTTP module

Chapter 14 other HTTP modules for Nginx

Chapter 15 Nginx mail module

Nginx (Engine X) is a high-performance HTTP and reverse proxy Web server that also provides IMAP/POP3/SMTP services. Nginx was developed by Igor Sesoyev for the second most visited rambler.ru site in Russia (р а блер), the first public version 0.1.0 was released on 4 October 2004.

It distributes source code under a BSD-like license and is known for its stability, rich feature set, sample configuration files, and low consumption of system resources. On June 1, 2011, Nginx 1.0.4 was released.

Nginx is a lightweight Web/reverse proxy server and E-mail (IMAP/POP3) proxy server distributed under the BSD-like protocol. It is characterized by less memory and strong concurrency. In fact, Nginx’s concurrency does perform better in the same type of web server. In Mainland China, nginx website users include baidu, JINGdong, Sina, netease, Tencent, Taobao and so on.

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High performance MySQL combat ebook

Chapter 1 MySQL architecture and history

Chapter 2 MySQL Benchmarks

Chapter 3 Server performance analysis

Chapter 4: Schema and data type optimization

Chapter 5 creates a high-performance index

Chapter 6 query Performance Optimization

Chapter 7 advanced features of MySQL

Chapter 8 Optimizing server Settings

Chapter 9 operating system and hardware optimization

Chapter 10 Replication

Chapter 11. Extensible MySQL

Chapter 12 high Availability

Chapter 13 MySQL in the Cloud

Chapter 14 application layer optimization

Chapter 15 Backup and Recovery

Chapter 16 MySQL User tools

Appendix A MySQL Branches and variations

Appendix B MySQL Server Status

Appendix C Large File Transfer

Appendix D EXPLAIN

Appendix E Lock debugging

Appendix F Using Sphinx on MySQL

High Performance MySQL is a book that shares practical experience with MySQL. It not only helps MySQL beginners improve their skills, but also points out ways for more experienced MySQL DBAs to develop high-performance MySQL applications.

High Performance MySQL(Chapter 2 contains 16 chapters and 6 appendices covering MySQL system architecture, design and application tips, SQL statement optimization, server performance tuning, system configuration management and security Settings, monitoring analysis, and replication, scaling, and backup/restore. Each chapter is self-contained. Suitable for various fields of technical personnel for selective reading.

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An in-depth understanding of the Java Virtual Machine: Advanced JVM features and Best practices

The first part looks at Java

Chapter 1 approaches Java

The second part automatic memory management mechanism

Chapter 2. Java Memory regions and memory overflow exceptions

Chapter 3 garbage collector and memory allocation strategy

Chapter 4 VM Performance Monitoring and troubleshooting tools

Chapter 5 tuning case analysis and actual practice

The third part is virtual machine execution subsystem

Chapter 6 class file structure

Chapter 7 Virtual machine class loading mechanism

Chapter 8 Virtual machine bytecode execution engine

Chapter 9 is a case study of class loading and execution subsystem

The fourth part is program compilation and code optimization

Chapter 10: Early (compile-time) Optimization

Chapter 11 late (run-time) optimization

Part v Efficient concurrency

Chapter 12 Java Memory model and threads

Chapter 13 thread safety and lock optimization

The JVM, short for Java Virtual Machine, is a specification for computing devices. The JVM is an imaginary computer that is implemented by emulating various computer functions on an actual computer.

With the introduction of Java language virtual machines, the Java language does not need to be recompiled when running on different platforms. The Java language uses the Java Virtual machine to mask platform-specific information, allowing Java language compilers to run unmodified on multiple platforms by generating object code (bytecode) that runs on the Java Virtual machine.

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In-depth understanding of Kafka: Core design and practice

Chapter 1 introduction to Kafka

Chapter 2 Producers

Chapter 3 Consumers

Chapter 4 theme and Zoning

Chapter 5 Log Storage

Chapter 6 delves into the server

Chapter 7 Delves into the client

Chapter 8 Reliability research

Chapter 9 Kafka application

Chapter 10 Kafka Monitoring

Chapter 11 advanced applications

Chapter 12 integration of Kafka and Spark

Appendix A Kafka source code environment setup

Kafka is an open source stream processing platform developed by the Apache Software Foundation and written in Scala and Java. Kafka is a high-throughput distributed publish-subscribe messaging system that processes all of the consumer’s action-flow data in a website. This action (web browsing, searching and other user actions) is a key factor in many social functions on the modern web. This data is usually addressed by processing logs and log aggregation due to throughput requirements. This is a viable solution for logging data and offline analysis systems like Hadoop that require real-time processing limitations. Kafka is designed to unify online and offline message processing through Hadoop’s parallel loading mechanism, and to provide real-time messaging across clusters.

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