Jesper Wisborg Krogh - My SQL Concurrency: Locking and Transactions for MySQL Developers and DBAs
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Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/9781484266519 . For more detailed information, please visit http://www.apress.com/source-code .
To my wife Ann-Margrete Thanks for the patience and support.
When working with databases, locks and transactions are some of the most difficult and misunderstood topics. This book aims at improving your understanding of these two concepts, how they work, how you can investigate them, and how you can improve your workload, so it works the best with them. This is achieved through a combination of discussing monitoring, the lock and transaction theory, and a series of case studies.
MySQL is famous for its support for storage engines. However, this book exclusively covers the InnoDB storage engine, and only MySQL 8 is considered. That said, most of the discussion also applies to older versions of MySQL, and in general, it is mentioned when a feature is new in MySQL 8 or that MySQL 8 has a different behavior compared to older versions.
The book has been written for developers and database administrators who have experience working with MySQL and want to expand their knowledge of how locks and transactions work in the realm of MySQL concurrency.
I have tried to add as many examples and outputs from examples as possible. Some of the examples are quite short, some are quite long. In either case, I hope you are able to follow them and reproduce the effect or result demonstrated. At the same time, please do bear in mind that by nature there is often randomness involved, and the exact outcome of the examples may depend on how the tables and data have been used prior to the example. In other words, you may get different results even if you did everything right. This particularly applies to numbers that relate to lock ids, memory locations, mutexes/semaphores, timings, and the like.
Examples that are long or produce outputs that are either long or wide have been added to this books GitHub repository. This includes some of the figures that may be hard to read with the image size that the page format allows.
The link to the repository can be found from the books home page at www.apress.com/gp/book/9781484266519 . It can also be found directly at www.github.com/Apress/mysql-concurrency .
To make it easier to reproduce the examples and to provide example queries that can be used to examine the issue the test demonstrates, a module written in Python for use in MySQL Shell is also included in the books GitHub repository. The basic installation and usage instructions are covered in Chapter and the full documentation in Appendix B.
The GitHub repository will also be the home of the errata for the book once that is created. I will use the errata not only to communicate errors in the book but also to provide updates when bug fixes and new features in MySQL 8 cause changes to book content. If necessary, I will also update the examples in the repository to reflect the behavior in the newer releases. For these reasons, I recommend that you keep an eye on the repository.
I have attempted to keep each chapter relatively self-contained with the aim that you can use the book as a reference book. The drawback of this choice is that there is some duplication of information from time to time. This is particularly evident in the case studies that repeat some of the information discussed in earlier chapters. This was a deliberate choice, and I hope it helps you to reduce the amount of page flipping to find the information you need.
Chapter, Introduction: This introductory chapter covers some high-level concepts as well as introduces the MySQL Shell module for reproducing the example and the test data used in this book.
Chapter, Monitoring Locks: This chapter covers how you can monitor locks using the Performance Schema, the sys schema, status counters, and InnoDB metrics. There is also information on how to use the InnoDB lock monitor and the deadlock information in the InnoDB monitor and how to obtain information about mutex and semaphore contention.
Chapter, Monitoring InnoDB Transactions: This chapter primarily shows how you can use the information_schema.INNODB_TRX view to investigate InnoDB transaction. The transaction list in the InnoDB monitor and transaction-related InnoDB metrics are also covered.
Chapter, Transactions in the Performance Schema: This chapter continues where the previous stopped by going through the transaction information in the Performance Schema and how you can find the statements for a transaction.
Chapter, Lock Access Levels:
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