I was attempting to download the MySQL slow query logs to perform a slow query review. In this blog we will explore the issue I faced while downloading the slow…

The post How to overcome Throttling and Rate Exceeded Errors in DownloadDBLogFilePortion first appeared on Change Is Inevitable.

These are the slides of the “Efficient Use Of Indexes In MySQL” talk we delivered on the SFMySQL Meetup.

This is an introductory talk for developers on MySQL indexes. In my opinion, it’s quite important to understand how InnoDB organizes data. If you know how MySQL accesses data, it’s easier to write optimal queries.

When working with queries, I imagine secondary indexes as a table with records sorted by secondary key fields. This is a powerful concept that helps to understand the MySQL logic. It’s also easy to understand complex optimizations like loose index scan.

For example, for index (last_name, rank) the secondary index table looks like:

Enjoy the slides!

…

For Percona Live Europe this year, I got accepted a workshop on query optimization and a 50-minute talk covering TLS for MySQL at Large Scale, talking about our experiences at the Wikimedia Foundation.

Workshop

The 3-hour workshop on Monday, titled Query Optimization with MySQL 8.0 and MariaDB 10.3: The Basics is a beginners’ tutorial–though dense in content. It’s for people who are more familiar with database storage systems other than InnoDB for MySQL, MariaDB or Percona Server. Or who, already familiar with …

I am happy that the MySQL team is, during the last years, blogging about each major feature that MySQL Server is getting; for example, the series on Recursive Common Table Expressions. Being extremely busy myself, …

Notes/errata/updates for Chapter 7:
See the official book errata at http://tahaghoghi.com/LearningMySQL/errata.php – Chapter 7 includes pages 223 – 275.

Supplemental blog post – ORDER BY NULL – read the blog post and the comments!

GROUP BY and HAVING examples – Supplemental blog post. The example of HAVING in the text shows a use case where HAVING is the same function as WHERE. This blog posts shows examples of HAVING that you cannot do any other way.

In the section called “The GROUP BY clause”, on pages 231-232, the book says:
“you can count any column in a group, and you’ll get the same answer, so COUNT(artist_name) is the same as …

Want to learn or refresh yourself on MySQL? MySQL Marinate is the FREE virtual self-study group is for you!

MySQL Marinate quick links if you know what it is all about.

This is for beginners – If you have no experience with MySQL, or if you are a developer that wants to learn how to administer MySQL, or an administrator that wants to learn how to query MySQL, this course is what you want. If you are not a beginner, you will likely still learn some nuances, and it will be easy and fast to do. If you have absolutely zero experience with MySQL, this is perfect for you. The first few chapters walk you through getting and installing MySQL, so all you need is a computer and the book.

The format of a virtual self-study group is as follows:
Each participant acquires the same textbook ( …

We all know that if we add a MySQL index to speed up a read, we end up making writes slower. How often do we do the analysis to look at how much more work is done?

Recently, a developer came to me and wanted to add an index to a very large table (hundreds of gigabytes) to speed up a query. We did some testing on a moderately used server:

Set long_query_time to 0 and turn slow query logging on
Turn slow query logging off after 30 minutes.

Add the index (was on a single field)

Repeat the slow query logging for 30 minutes at a similar time frame (in our case, we did middle of the day usage on a Tuesday and Wednesday, when the database is heavily used).

Then I looked at the write analysis – there were no DELETEs, no UPDATEs that updated the indexed field, and no UPDATEs that used the indexed field in the filtering. There were only INSERTs, and with the help of pt-query-digest, here’s what I found: …

In May, I presented two talks – one called “Are you getting the best out of your indexes?” and “Optimizing Queries Using EXPLAIN”. I now have slides and video for both of them.

The first talk about indexing should probably be titled “Why is MySQL doing this?!!?!!?” It gives insight into why the MySQL optimizer chooses indexes that you do not expect; especially when it does not use an index you expect it to.

The talk has something for everyone – for beginners it explains B-trees and how they work, and for the more seasoned DBA it explains concepts like average value group size, and how the optimizer uses those concepts applied to metadata to make decisions.

Slides are at http://technocation.org/files/doc/2017_05_MySQLindexes.pdf.
Click the slide image below to go to the video at …

In this blog, I will provide answers to the Q & A for the “Introduction into storage engine troubleshooting” webinar.

First, I want to thank everybody for attending the July 14 webinar. The recording and slides for the webinar are available here. Below is the list of your questions that I wasn’t able to answer during the webinar, with responses:

Q: At which isolation level do 

pt-online-schema-change

 and 

pt-archive

  copy data from a table?

A: Both tools do not change the server’s default transaction isolation level. Use either

REPEATABLE READ

 or …

The slides of “Efficient Use of Indexes in MySQL” talk we delivered on SFMySQL Meetup.

This is an introductory talk for developers on MySQL indexes. In my opinion it’s quite important to understand how InnoDB organizes data. If you know how MySQL accesses data it’s easier to write optimal queries.

When working with queries I imagine secondary indexes as a table with records sorted by secondary key fields. This is a powerful concept that helps to understand MySQL logic. It’s also easy to understand complex optimizations like loose index scan.

For example, for index (last_name, rank) the secondary index table looks like:

…