Understanding MySQL Internals
Although MySQL's source code is open in the sense of being publicly available, it's essentially closed to you if you don't understand it. In this book, Sasha Pachev -- a former member of the MySQL Development Team -- provides a comprehensive tour of MySQL 5 that shows you how to figure out the inner workings of this powerful database. You'll go right to heart of the database to learn how data structures and convenience functions operate, how to add new storage engines and configuration options, and much more.
The core of Understanding MySQL Internals begins with an Architecture Overview that provides a brief introduction of how the different components of MySQL work together. You then learn the steps for setting up a working compilable copy of the code that you can change and test at your pleasure. Other sections of the book cover:
Core server classes, structures, and API
The communication protocol between the client and the server
Configuration variables, the controls of the server; includes a tutorial on how to add your own
Thread-based request handling -- understanding threads and how they are used in MySQL
An overview of MySQL storage engines
The storage engine interface for integrating third-party storage engines
The table lock manager
The parser and optimizer for improving MySQL's performance
Integrating a transactional storage engine into MySQL
The internals of replication
Understanding MySQL Internals provides unprecedented opportunities for developers, DBAs, database application programmers, IT departments, software vendors, and computer science students to learn about the inner workings of this enterprise-proven database. With this book, you will soon reach a new level of comprehension regarding database development that will enable you to accomplish your goals. It's your guide to discovering and improving a great database.
Download link:
http://depositfiles.com/files/2458327
http://www.filefactory.com/file/242d5d/
[Fast Download] Understanding MySQL Internals
Hands-On Deep Learning for Images with TensorFlow
Power BI Data Analysis and Visualization
Effective SQL: 61 Specific Ways to Write Better SQL
Agile Query-Driven Data Modeling for NoSQL
Databases: Executive Briefing
The Node.js Handbook
Practical Oracle E-Business Suite: An Implementation and Management Guide
Digital Forensic Science: Issues, Methods, and Challenges
Dissecting SQL Server Execution Plans
php|architect's Guide to PHP Security
Oracle SQL Jumpstart with Examples
Oracle Hyperion Interactive Reporting 11 Expert Guide
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Python GUI Programming with Tkinter: Devel(2627)
Web Scraping with Python: Collecting More (2537)
Big Data Architect's Handbook: A guide to (2489)
Web Coding & Development All-in-One For Du(2432)
Machine Learning with Python Cookbook : Pr(2291)
Data Science for Dummies, 2nd Edition(2177)
Statistical Data Science(2171)
Python Programming Blueprints: Build nine (2141)
Building Machine Learning Systems with Pyt(2118)
Data Analytics: Concepts, Techniques, and (1989)
HBR Guide to Data Analytics Basics for Man(1982)
Seven Databases in Seven Weeks: A Guide to(1956)
Hands-On Data Science and Python Machine L(1946)
A General Introduction to Data Analytics(1887)
