The latest from the MySQL community

You no longer need to manually parse the MySQL Error log via scripting and RegEx pattern matching. Using the component_log_sink_json component you can obtain JSON error logging for easier parsing.

Historically installing MySQL on a RedHat Compatible Linux server was as simple as yum install mysql-server. Today’s MySQL Oracle Linux, Red Hat Enterprise Linux, CentOS, and Fedora 9.7 instructions are not accurate mixing in 8.

Historically installing MySQL on a RedHat Compatible Linux server was as simple as yum install mysql-server. Today’s MySQL Oracle Linux, Red Hat Enterprise Linux, CentOS, and Fedora 9.7 instructions are not accurate mixing in 8.

On April 21st, 2026, we released MySQL 9.7.0, the latest Long-Term Support release. As always, we are grateful to the MySQL community for helping improve MySQL with bug reports, patches, pull requests, and continued feedback. Community contributions help make MySQL better for everyone, and we are happy to recognize the contributors whose work was included […]

Understanding the New Cadence: Quarterly CPUs, Targeted CSPUs, and Transitioning to Calendar Versioning MySQL is updating its release model to make releases easier to understand, plan for, and follow: The goal is not simply to change the number on a release. The goal is to give users, DBAs, developers, Linux distributions, cloud platforms, and ecosystem […]

Managing data retention policies is one of the most common operational tasks in MySQL.

Applications continuously generate transactional, audit, logging, telemetry, and event data. Over time, these tables can grow to billions of rows, causing:

• Larger backups
• Longer recovery times
• Reduced buffer pool efficiency
• Slower index maintenance
• Increased storage costs
• Degraded query performance

To address these problems, organizations typically implement retention policies based on dates or timestamps. Examples include deleting events older than 90 days or purging session data older than 30 days and so forth. The deleted data can then eventually be archived somewhere else, like in another DBMS or on external files.

One of the most widely used tools for implementing these policies in MySQL ecosystems is pt-archiver, part of the Percona Toolkit. …

If you have a typical MySQL production setup using MySQL 8.0 (EOL) with replication, you can take advantage of VillageSQL extensions to generate AI responses directly with your source data with no impact on your production setup or existing application software.

If you have a typical MySQL production setup using MySQL 8.0 (EOL) with replication, you can take advantage of VillageSQL extensions to generate AI responses directly with your source data with no impact on your production setup or existing application software.

This blog post is about installing Ghost 5 CMS on Ubuntu 26.04 OS with MySQL and Caddy. Ghost is a ...

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It is time to talk again about Flow control and group replication. This time with a special eye on the use of Group Replication in the Kubernetes context. In this article we will dig a bit on how it works and what are the various side effects. 

The problem

Recently I was refining the calculation I use in the MySQL calculator for Operator given I was constantly encountering a very serious problem with the Percona Server Operator.

The problem is that when the deployment was/is serving a high level of traffic, it will, no matter what, end up in getting OMMKill by the K8 system. 

This because the pod was gradually consuming more and more memory, reaching the memory limit set in the CR specification. 

Now let me clarify a few things, to get straight to the facts.

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