Querying MySQL

Querying MySQL

Author: Adam Aspin

Publisher: BPB Publications

Published: 2022-06-28

Total Pages: 682

ISBN-13: 9355512678

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Carry out real-world analytics to advance your career KEY FEATURES ● Learning the principles of data analysis with MySQL datasets in a practical manner. ● Extensive examples guide the reader through all stages of SQL proficiency, from complete newbie to master. ● Includes methods and methodologies for doing sophisticated MySQL database queries. DESCRIPTION This book will take you on an interactive journey to understand SQL querying from the most basic to the most expert level utilising a variety of SQL techniques to extract relevant insights from your MySQL databases. The first section of this book serves as an introduction to the fundamental ideas of both SQL and MySQL. It then walks readers through constructing queries using simple and then more sophisticated table joins and gradually more advanced data filtering to produce advanced queries based on a range of SQL techniques. The reader will better understand MySQL database analysis by mastering the fundamentals of SQL computation, relational logic, and data grouping and aggregation. SQL fundamentals such as query formatting, constructing subqueries, generating derived tables, joining and filtering tables, etc., are also covered. In addition, the book explains how to do rolling analysis, study time-series data, and manage huge and complex MySQL datasets. After completing the book, readers can create their methods for analysing relational MySQL datasets and gaining the needed insights. WHAT YOU WILL LEARN ● Review SQL concepts like table join, data filtering, query structuring, and table derivation. ● Make it easier to work with data that is spread out over several tables with similar or identical structures. ● Use simple math and logic, multiple filters, and data aggregation to look at the data. ● Learn how to use table expressions, subqueries, and complex calculations well. ● Use advanced methods to do rolling analysis and time series analysis. WHO THIS BOOK IS FOR This book is for data professionals, such as database developers, SQL developers, data analysts, and BI experts, who wish to construct complex queries and extract the desired analytics from their datasets. The book also encourages smart new learners to learn SQL and use it right away in their first jobs. TABLE OF CONTENTS Introduction 1. Writing Basic SQL Queries 2. Using Multiple Tables When Querying Data 3. Using Advanced Table Joins 4. Filtering Data 5. Applying Complex Filters to Queries 6. Making Simple Calculations 7. Aggregating Output 8. Working with Dates in MySQL 9. Formatting Text in Query Output 10. Formatting Numbers and Dates 11. Using Basic Logic to Enhance Analysis 12. Subqueries 13. Derived Tables 14. Common Table Expressions 15. Correlated Subqueries 16. Dataset Manipulation 17. Using SQL for More Advanced Calculations 18. Segmenting and Classifying Data 19. Rolling Analysis 20. Analyzing Data Over Time 21. Complex Data Output


MySQL Troubleshooting

MySQL Troubleshooting

Author: Sveta Smirnova

Publisher: "O'Reilly Media, Inc."

Published: 2012-02-08

Total Pages: 265

ISBN-13: 1449330231

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Stuck with bugs, performance problems, crashes, data corruption, and puzzling output? If you’re a database programmer or DBA, they’re part of your life. The trick is knowing how to quickly recover from them. This unique, example-packed book shows you how to handle an array of vexing problems when working with MySQL. Written by a principal technical support engineer at Oracle, MySQL Troubleshooting provides the background, tools, and expert steps for solving problems from simple to complex—whether data you thought you inserted doesn’t turn up in a query, or the entire database is corrupt because of a server failure. With this book in hand, you’ll work with more confidence. Understand the source of a problem, even when the solution is simple Handle problems that occur when applications run in multiple threads Debug and fix problems caused by configuration options Discover how operating system tuning can affect your server Use troubleshooting techniques specific to replication issues Get a reference to additional troubleshooting techniques and tools, including third-party solutions Learn best practices for safe and effective troubleshooting—and for preventing problems


MySQL Reference Manual

MySQL Reference Manual

Author: Michael Widenius

Publisher: "O'Reilly Media, Inc."

Published: 2002

Total Pages: 822

ISBN-13: 9780596002657

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This comprehensive reference guide offers useful pointers for advanced use of SQL and describes the bugs and workarounds involved in compiling MySQL for every system.


MySQL 8 Query Performance Tuning

MySQL 8 Query Performance Tuning

Author: Jesper Wisborg Krogh

Publisher: Apress

Published: 2020-03-16

Total Pages: 974

ISBN-13: 1484255844

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Identify, analyze, and improve poorly performing queries that damage user experience and lead to lost revenue for your business. This book will help you make query tuning an integral part of your daily routine through a multi-step process that includes monitoring of execution times, identifying candidate queries for optimization, analyzing their current performance, and improving them to deliver results faster and with less overhead. Author Jesper Krogh systematically discusses each of these steps along with the data sources and the tools used to perform them. MySQL 8 Query Performance Tuning aims to help you improve query performance using a wide range of strategies. You will know how to analyze queries using both the traditional EXPLAIN command as well as the new EXPLAIN ANALYZE tool. You also will see how to use the Visual Explain feature to provide a visually-oriented view of an execution plan. Coverage of indexes includes indexing strategies and index statistics, and you will learn how histograms can be used to provide input on skewed data distributions that the optimizer can use to improve query performance. You will learn about locks, and how to investigate locking issues. And you will come away with an understanding of how the MySQL optimizer works, including the new hash join algorithm, and how to change the optimizer’s behavior when needed to deliver faster execution times. You will gain the tools and skills needed to delight application users and to squeeze the most value from corporate computing resources. What You Will LearnMonitor query performance to identify poor performersChoose queries to optimize that will provide the greatest gainAnalyze queries using tools such as EXPLAIN ANALYZE and Visual ExplainImprove slow queries through a wide range of strategiesProperly deploy indexes and histograms to aid in creating fast execution plansUnderstand and analyze locks to resolve contention and increase throughput Who This Book Is For Database administrators and SQL developers who are familiar with MySQL and need to participate in query tuning. While some experience with MySQL is required, no prior knowledge of query performance tuning is needed.


MySQL Cookbook

MySQL Cookbook

Author: Paul DuBois

Publisher: "O'Reilly Media, Inc."

Published: 2003

Total Pages: 1026

ISBN-13: 9780596001452

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DuBois organizes his cookbook's recipes into sections on the problem, the solution stated simply, and the solution implemented in code and discussed. The implementation and discussion sections are the most valuable, as they contain the command sequences, code listings, and design explanations that can be transferred to outside projects.


MySQL in a Nutshell

MySQL in a Nutshell

Author: Russell J.T. Dyer

Publisher: "O'Reilly Media, Inc."

Published: 2008-04-15

Total Pages: 568

ISBN-13: 1449379370

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When you need to find the right SQL keyword or MySQL client command-line option right away, turn to this convenient reference, known for the same speed and flexibility as the system it covers so thoroughly. MySQL is packed with so many capabilities that the odds of remembering a particular function or statement at the right moment are pretty slim. With MySQL in a Nutshell, you get the details you need, day in and day out, in one concise and extremely well organized book. The new edition contains all the commands and programming information for version 5.1, including new features and language interfaces. It's ideal for anyone using MySQL, from novices who need to get up to speed to advanced users who want a handy reference. Like all O'Reilly Nutshell references, it's easy to use and highly authoritative, written by the editor of the MySQL Knowledge Base at MySQL AB, the creator and owner of MySQL. Inside, you'll find: A thorough reference to MySQL statements, functions, and administrative utilities Several tutorial chapters to help newcomers get started Programming language APIs for PHP, Perl, and C Brief tutorials at the beginning of each API chapter to help anyone, regardless of experience level, understand and master unfamiliar territory New chapters on replication, triggers, and stored procedures Plenty of new examples of how MySQL is used in practice Useful tips to help you get through the most difficult subjects Whether you employ MySQL in a mission-critical, heavy-use environment or for applications that are more modest, this book puts a wealth of easy-to-find information at your fingertips, saving you hundreds of hours of trial and error and tedious online searching. If you're ready to take advantage of everything MySQL has to offer, MySQL in a Nutshell has precisely what it takes.


Learning MySQL

Learning MySQL

Author: Seyed Tahaghoghi

Publisher: "O'Reilly Media, Inc."

Published: 2007-11-28

Total Pages: 620

ISBN-13: 0596008643

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This new book in the popular Learning series offers an easy-to-use resource for newcomers to the MySQL relational database. This tutorial explains in plain English how to set up MySQL and related software from the beginning, and how to do common tasks.


Web Database Applications with PHP and MySQL

Web Database Applications with PHP and MySQL

Author: Hugh E. Williams

Publisher: "O'Reilly Media, Inc."

Published: 2002

Total Pages: 592

ISBN-13: 9780596000417

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Introduces techniques for building applications that integrate large databases with web interfaces. Using a three-tier architecture, the book focuses on the middle tier and the application logic that brings together the fundamentally different client and database tiers. The authors explain the principles behind searching, browsing, storing user data, validating user input, managing user transactions, and security. Annotation copyrighted by Book News, Inc., Portland, OR.


MySQL Administrator's Guide and Language Reference

MySQL Administrator's Guide and Language Reference

Author: MySQL AB

Publisher: Sams Publishing

Published: 2006-04-27

Total Pages: 891

ISBN-13: 0672332841

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Written by the creators of MySQL and edited by one of the most highly respected MySQL authors, the MySQL Administrator's Guide and Language Reference is the official guide to installing MySQL, to setting up and administering MySQL databases, and to storing and retrieving data in these databases. This new edition combines into one book the MySQL Language Reference (on CD) with the practical information of the MySQL Administrator's Guide book.


Querying MariaDB

Querying MariaDB

Author: Adam Aspin

Publisher: BPB Publications

Published: 2022-07-25

Total Pages: 677

ISBN-13: 935551252X

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Employ analytics in relational databases to advance your career KEY FEATURES ● Use of multiple MariaDB datasets to gain hands-on experience with data analysis principles. ● Extensive examples take the reader through all levels of SQL skill, from novice to expert. ● Includes methods and techniques for doing complex database queries in MariaDB. DESCRIPTION This book will take you on an engaging experience to understand SQL querying from the most basic to the most expert level, using various SQL techniques to extract valuable insights from your MariaDB databases. The adventure will begin with the most basic level and end with the most professional level. This book's first section provides an introduction to the fundamental concepts of both SQL and MariaDB. It then guides users through building queries using simple and then more complex table joins and progressively more powerful data filtering to generate advanced queries utilizing various SQL techniques. The reader will understand MariaDB database analysis better by learning the basics of SQL computation, relational logic, and data grouping and aggregation. Also covered are SQL basics like formatting queries, making subqueries, making derived tables, joining and filtering tables, etc. In addition, the book explains how to conduct rolling analysis, investigate time-series data, and manage enormous and complex MariaDB datasets. When readers have finished the book, they can devise their techniques for analyzing relational MariaDB datasets and acquiring the necessary insights. WHAT YOU WILL LEARN ● Examine SQL principles such as table joins, data filtering, query design, and table derivation. ● Make it simpler to manipulate data that is dispersed across multiple tables. ● Use basic math and logic, multiple filters, and data aggregation to look at the data. ● Learn to use table expressions, subqueries, and complex calculations well. ● Utilize sophisticated techniques for rolling analysis and time series analysis. WHO THIS BOOK IS FOR This book is for MariaDB users and data professionals, including database developers, SQL developers, data analysts, and BI specialists, who wish to design complicated queries and extract the needed insights from their datasets. TABLE OF CONTENTS 1. Writing Basic SQL Queries 2. Using Multiple Tables When Querying Data 3. Using Advanced Table Joins 4. Filtering Data 5. Applying Complex Filters to Queries 6. Making Simple Calculations 7. Aggregating Output 8. Working with Dates in MariaDB 9. Formatting Text in Query Output 10. Formatting Numbers and Dates 11. Using Basic Logic to Enhance Analysis 12. Subqueries 13. Derived Tables 14. Common Table Expressions 15. Correlated Subqueries 16. Dataset Manipulation 17. Using SQL for More Advanced Calculations 18. Segmenting and Classifying Data 19. Rolling Analysis 20. Analyzing Data Over Time 21. Complex Data Output