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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