AI and machine learning are seemingly everywhere, and that’s forcing every database company to think about vector search. Companies want to build things like smart search that actually understands what you mean, recommendation systems that know what you’ll like, and tools that can spot when something’s off. To make all of this work at the […]

This post guides newcomers through accessing and exploring their databases using MySQL Shell. Clear instructions, friendly guidance, and practical tips ensure a confident start for any data explorer eager to interact with tables and data in real time.

The audit log filter component in MySQL 8.4 provides administrators with a powerful mechanism for auditing database activity at a fine-grained level. While it offers significant flexibility—such as selectively logging events based on users, hosts, or event types—it can also be challenging to understand and configure correctly.

In this article, we will examine how the audit log filter component works, walk through its core concepts, and share practical tips for configuring and managing audit filters effectively. Our goal is to help you leverage this feature to improve observability, meet compliance requirements, and reduce unnecessary logging overhead.

Enabling Audit Log Filter

We will be using Percona Server 8.4.4 or higher in the examples below. First, we need to enable the audit log filter component. To install the audit log filter component, we need to run the following command:

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Announcing the release of MySQL AI, an option to MySQL Enterprise Edition, that provides built-in predictive and generative AI capabilities and a vector store.

When you run a simple write, …it may look simple, but under the hood, MySQL’s InnoDB engine kicks off a pretty complex sequence to ensure your data stays safe, consistent, and crash-recoverable. In the top-left corner of the diagram, we see exactly where this begins — the moment the query is executed: [crayon-697773637c60c399076158/] The log […]

MySQL is the most widely used open-source database. For over 30 years it has enabled organizations to run business-critical and scalable applications. It is the database of choice for visionary startups, small and medium-sized businesses, some of the largest enterprises run on MySQL. It is globally trusted for its reliability and ease of use. As […]

Begin your hands-on MySQL adventure! This post guides newcomers through accessing and exploring their databases using MySQL Shell. Clear instructions, friendly guidance, and practical tips ensure a confident start for any data explorer eager to interact with tables and data in real time.

MySQL HeatWave is a fully managed database service designed to help enterprises efficiently handle data warehousing, analytics, machine learning, and transaction processing within a single database. With the launch of HeatWave GenAI, the platform’s capabilities now extend to unstructured data, empowering enterprises to harness the potential of Generative AI. HeatWave GenAI features in-database LLMs, in-database […]

Create a chatbot in LangChain using HeatWave GenAI

Congratulations, data explorer! Your library is open for business, the shelves are organized, and the tables are finally filled with real, tangible data—authors, books, and eager readers galore. But what if you want to see what’s actually on those digital shelves? Enter the mighty SELECT statement: SQL’s super-powered magnifying glass that lets you find, browse, and admire your collection. […]