The latest from the MySQL community

On October 1-2, Chernihiv Polytechnic National University held the II International scientific and practical conference “Free/Open Source Software in Education, Science & Business”. The conference was online and free for everyone. The idea is to bring together people from universities, from industry and from open source communities and talk about how free software is used in education, science and business.

This year Percona was well represented. There were six speakers from Percona, and two more keynote speakers also worked at Percona in the past.

Day 1: keynotes

The first day started with welcome words from Volodymyr Bazylevych, Chair of the Organizing Committee, and Anatolii Prystupa, Vice-Rector for Research. After that there were five keynote talks.

Yevhen Patlan (Percona) spoke about embedding DuckDB …

A MySQL InnoDB Cluster provides high availability for a single database cluster using Group Replication. This works well for node failures inside the cluster, but disaster recovery usually requires another cluster in a separate location: another Kubernetes cluster, region, data center, or cloud.

This replica cluster needs to stay in sync with the primary, remain protected from accidental writes, and be ready to take over when you need to move traffic, either as a planned operation or during an outage.

InnoDB ClusterSet addresses this by linking multiple MySQL clusters into a single disaster-recovery topology. One cluster handles writes, while the others stay synchronized as read-only replicas.

Starting from v1.2.0, the Percona Operator for MySQL adds a new custom resource, PerconaServerMySQLClusterSet, which …

Starting with version 1.1.0, the Percona Kubernetes Operator for MySQL now supports incremental backups. This feature lets you backup only the changed data since the last backup, instead of copying your entire dataset each time. The result is dramatically smaller backup sizes, faster backup windows, and lower cloud storage costs.

In this post, we’ll walk through how the feature works under the hood, how to configure it, and what to keep in mind when designing your backup strategy.

How Incremental Backups Work in Percona XtraBackup

The foundation of this feature is Percona XtraBackup (PXB), an open source backup tool for MySQL. PXB has supported incremental backups for a while, and the operator now brings that capability into the backup workflow.

Every InnoDB data page carries a Log Sequence Number …

Introduction

Many MySQL setups begin life with a familiar incantation:

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innodb_buffer_pool_size = 70% of RAM

…and then nothing changes.

That’s not tuning. That’s a starting guess.

Real tuning starts when the workload pushes back.

Visual Overview

The InnoDB buffer pool is where database performance is quietly decided. It determines whether your workload hums along in memory or drags itself across disk. If you’re not actively observing and tuning it, you’re leaving performance on the table.

This guide walks through how to monitor, understand, and tune the buffer pool using real signals instead of guesswork.

What the Buffer Pool Really Is

The buffer pool isn’t just “memory for MySQL.” It’s a living system under constant pressure:

• A cache of data and indexes
• A write staging area …

MySQL Security Best Practices: A Practical Guide for Locking Down Your Database Introduction

MySQL runs just about everywhere. I’ve seen it behind small personal projects, internal tools, SaaS platforms, and large enterprise systems handling serious transaction volume. When your database sits at the center of everything, it becomes part of your security perimeter whether you planned it that way or not. And that makes it a target.

Securing MySQL isn’t about flipping one magical setting and calling it done. It’s about layers. Tight access control. Encrypted connections. Clear visibility into what’s happening on the server. And operational discipline that doesn’t drift over time.

In this guide, I’m going to walk through practical MySQL security best practices that you can apply right away. These are the kinds of checks and hardening steps that reduce real risk in real environments, and help build a database …

There is a special kind of boredom that only database people know. The kind where you stare at a server humming along and think, surely there is something here I can tune. Good news: there is.

This post walks through the most important MySQL variables to tune for performance, why they matter, and when touching them helps versus when it quietly makes things worse. This is written with InnoDB-first workloads in mind, because let’s be honest, that’s almost everyone.

1. innodb_buffer_pool_size Real metrics to watch

Before touching this variable, look at these:

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SHOW GLOBAL STATUS LIKE 'Innodb_buffer_pool_read%';

Key fields:

• Innodb_buffer_pool_reads – physical reads from disk
• Innodb_buffer_pool_read_requests – logical reads

…

Configuring the Component Keyring in Percona Server and PXC 8.4

(Or: how to make MySQL encryption boring, which is the goal)

Encryption is one of those things everyone agrees is important, right up until MySQL refuses to start and you’re staring at a JSON file wondering which brace ruined your evening.

With MySQL 8.4, encryption has firmly moved into the component world, and if you’re running Percona Server 8.4 or Percona XtraDB Cluster (PXC) 8.4, the supported path forward is the component_keyring_file component.

The good news: the setup is mostly identical for Percona Server and PXC.
The bad news: PXC 8.4.4 and 8.4.5 shipped with a bug that makes this less fun than it should be.

Let’s walk through a setup that works, keeps your keys locked down, and avoids the usual landmines.

Step 1: Tell …

MySQL replication has been around forever, and yet… people still manage to set it up in ways that break at the worst possible moment. Even in 2025, you can get burned by tiny schema differences, missing primary keys, or one forgotten config flag. I’ve seen replicas drift so far out of sync they might as well live in a different universe.

This guide covers the practical best practices—the stuff real DBAs use every day to keep replication stable, predictable, and boring. (Boring is a compliment in database land.)

Always Use GTIDs. Yes, Always.

GTID-based replication is one of those features that people resist turning on, and then once they do, they never want to go back.

Why GTIDs?

• Failover become sane
• Reparenting replicas stops being a headache
• Missing transactions are easy to detect

Your my.cnf should absolutely include:

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When I first got into woodworking, my mentor shared a piece of advice that has stuck with me ever since: “Use the right tool for the job.” You wouldn’t reach for a belt sander to flatten a board when a planer can accomplish the task faster, cleaner, and with far better results.

The same principle applies in the world of database engineering. When working with MySQL or Percona Server, choosing the correct tool can be the difference between efficient diagnostics and unnecessary downtime.

In this post, I’ll highlight several of the most practical and commonly used utilities from the Percona Toolkit. While the toolkit includes many powerful commands, I’ll focus on the ones that provide the most value in day-to-day operations, troubleshooting, and gathering actionable details for support cases.

PT Summary

A Percona Toolkit utility that provides a concise, high-level overview of a system’s hardware, OS …

In my first post on the MySQL 8.4 Audit Log Filter component, I covered how to install the component and configure a basic filter that captures all events. The Audit Log Filter framework offers a highly granular and configurable auditing mechanism, enabling administrators to log specific events based on criteria such as user, host, or event type. This selective approach enhances observability, supports compliance initiatives, and minimizes unnecessary logging overhead.

In this follow-up, we’ll take a deeper technical look at defining and optimizing audit log filters to capture only the most relevant database activities—delivering actionable audit data while significantly reducing noise and log volume.

Example 1

Audit all events:

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SELECT audit_log_filter_set_filter('log_all_events', …