Data loss or corruption can be daunting. With MySQL point-in-time recovery, you can restore your database to the moment before the problem occurs.

This article delivers a practical roadmap for using backups and binary logs to achieve accurate MySQL recovery, detailed steps for setting up your server, and tips for managing recovery and backups effectively without overwhelming you with complexity.

Key Takeaways

• MySQL Point in Time Recovery (PITR) enables restoration to a specific point after a full backup. It relies heavily on binary log files to record the incremental changes needed for recovery.
• Preparation for PITR is crucial and involves enabling binary logging and creating a full database backup. Monitoring and managing binary log activities, such as file retention, are essential for effective recovery.
• Executing PITR requires …

This blog explains how to setup inbound replication from an on-premises MySQL server to a MySQL HeatWave DB System.

MySQL Enterprise Data Masking and De-Identification component now has new features that allow for more elastic management of masking dictionaries.

Announcing Vitess 19 # We're thrilled to announce the release of Vitess 19, our latest version packed with enhancements aimed at improving scalability, performance, and usability of your database systems. With this release, we continue our commitment to providing a powerful, scalable, and reliable database clustering solution for MySQL. What's New in Vitess 19 # Dropping Support for MySQL 5.7: As Oracle has marked MySQL 5.7 end of life in October 2023, we're also moving forward by dropping support for MySQL 5.

What makes a great user experience? There are probably as many answers to this question as there are users because we are talking about very subjective and personal feelings and observations.While there are multiple experts at Percona, we also believe that one should not be forced to become a database expert to be able to […]

The latest version of MySQL Server, 8.3, has been available as a General Availability (GA) release for a while. In case you have missed it, here is a brief recap of the newly available features and enhancements.

The post What’s New in MySQL 8.3: Feature Overview appeared first on Devart Blog.

Back again, now with MySQL installs. And this means using the MySQL repository this time around.

I’ve been installing and configuring InnoDB Clusters and ClusterSets and thinking about the Ansible and Terraform users amongst us, maybe one-liners might help someone out there.

So, what about if I share how to install the MySQL repo, install the MySQL instance, create an InnoDB Cluster, add a MySQL Router, create a ClusterSet, make sure the Router is ClusterSet-aware, and then test it out. And all via one-liners.

First up, obrigado Miguel for https://github.com/miguelaraujo/ClusterSet-Demo.

To simplify the command execution sequence, these sections aim to help summarize the technical commands required to create the whole platform. And on a default path & port configuration, to ease operational deployments for all those 000’s of installs …

This article will walk you through the essentials of MySQL, shedding light on the intricacies of column types, and explore scenarios where altering column types becomes a necessity, exemplified through the lens of dbForge Studio for MySQL.

The post How to Change a Column Type in MySQL appeared first on Devart Blog.

In 2021, I wrote a MySQL example for my class on the usefulness of Common Table Expressions (CTEs). When discussing the original post, I would comment on how you could extend the last example to build a parametric reporting table.

Somebody finally asked for a concrete example. So, this explains how to build a sample MySQL parametric query by leveraging a filter cross join and tests the parameter use with a Python script.

You can build this in any database you prefer but I used a studentdb database with the sakila sample database installed. I’ve granted privileges to both databases to the student user. The following SQL is required for the example:

-- Conditionally drop the levels table.
DROP TABLE IF EXISTS levels;
 
-- Create the levels list.
CREATE TABLE levels
( level_id       int unsigned primary key auto_increment
, …

This exclusive webinar is tailored for database administrators and IT professionals aiming to enhance their systems’ efficiency and reliability using Galera Cluster. This session focuses on practical best practices, showcases new features, and provides an extended platform for your queries.

What You Will Learn:

* Core Best Practices: Dive into essential practices, from employing primary keys and leveraging InnoDB to deciding if to optimise read/write splits and managing AUTO_INCREMENT settings.

* Advanced Configuration: Uncover advanced techniques for error monitoring, configuring Galera across networks, and fine-tuning the gcache for optimal performance. * Innovative Features: Stay ahead with insights on implementing Non-Blocking Operations for seamless schema changes, coordinating distributed …