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Efficient MySQL Performance

After 17 years with MySQL, I wrote a book: Efficient MySQL Performance.

I’ll make a bold claim: a MySQL book like this has never been written—not even close. The preface explains why this book is unique:

Efficient MySQL Performance

After 17 years with MySQL, I wrote a book: Efficient MySQL Performance.

I’ll make a bold claim: a MySQL book like this has never been written—not even close. The preface explains why this book is unique:

Backup Performance Comparison: mysqldump vs MySQL Shell Utilities vs mydumper vs mysqlpump vs XtraBackup

In this blog post, we will compare the performance of performing a backup from a MySQL database using mysqldump, MySQL Shell feature called Instance Dump, mysqlpump, mydumper, and Percona XtraBackup. All these available options are open source and free to use for the entire community.

To start, let’s see the results of the test.

Benchmark Results

The benchmark was run on an …

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Using MySQL Database Service in OCI – Part 3: faster with MySQL HeatWave !

The goal of this series if to get familiar with MDS, HeatWave and useful MySQL Shell utilities. We can now start a query on our MDS instance that has been populated with >200M rows ...

CodeIgniter 4 Query Builder set() function with update()

CodeIgniter 4 Query Builder class has an update() function used to process UPDATE Data Manipulation Language (DML) commands. Using update() as a standalone function call is perfectly valid. However, there is also a set() function used for setting column values as you would with the SET keyword in an SQL UPDATE statement. Used in conjunction with the Query Builder where() function, you can easily UPDATE column values for an individual row or multiple rows. Continue reading for more information…

Image by  …

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Using MySQL Database Service in OCI – Part 2: importing Data to MySQL DB System

Before we start, I would like to highlight that the fastest and recommended way to import data to a MySQL DB System in OCI is to use a parallel dump created using MySQL to Object Storage and load it during the creation of the MDS instance. MDS enables special features to increase the ingestion speed ...

MySQL Query Optimization: Top 3 Tips

MySQL Query Optimization is usually simple engineering. But seeking information about how to tune queries is treated on many web reference sites like some Harry Potter-ish spell casting. There are simple tips you need to be aware of to get the best of your queries...

OpenLamp.tech issue #6

Hey all good folks! I’ve published another issue of your favorite newsletter, OpenLamp.tech, the newsletter for PHP/MySQL developers. This issue (like all the rest) is loaded with fantastic curated content. Enjoy and do share with others!

Self-Promotion:

If you enjoy the content written here, by all means, share this blog and your favorite post(s) with others who may benefit from or like it as well. Since coffee is my favorite drink, you can even buy me one if you would like!

I enjoy writing and curating the OpenLamp.tech newsletter. If you would like to support my efforts and you are finding value in the weekly publication, please share this post or an issue with someone you think would value the content as well.

The Newsletter for PHP and MySQL Developers

In this week’s issue, we have …

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Using MySQL Database Service in OCI – Part 3: faster with MySQL HeatWave !

This post is the third and last of a series of articles dedicated to MySQL Database Service (MDS):

The goal of this series if to get familiar with MDS, HeatWave and useful MySQL Shell utilities.

We can now start a query on our MDS instance that has been populated with >200M rows:

 SQL > SELECT year, Reporting_Airline,  
              AVG(ArrDelay) AS avgArrDelay …
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Using MySQL Database Service in OCI – Part 1: creating a MySQL DB System

In this first article we will start by creating a MySQL DB System and a Compute instance in OCI. One of the goal is also to see the benefits of HeatWave, so we will start by creating this single MySQL DB System on a HeatWave compatible shape. We will then see how to import a large amount of data ...

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