Planet MySQL HA Blog

An overview of Library Feature in the MySQL HeatWave managed cloud service and elsewhere.

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When Oracle announced the deprecation of MySQL Enterprise Monitor (MEM), many organizations running MySQL Enterprise Server suddenly faced a gap in their operations stack. MEM had long been part of the Enterprise subscription, providing monitoring and limited automation. Now, DBAs and DevOps teams must look elsewhere for visibility and control. The good news? Moving away […]

The post From MEM to Automation: Managing MySQL Enterprise with ClusterControl appeared first on Severalnines.

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Bridging natural language processing with semi-structured data brings both opportunity and complexity.

MySQL HeatWave GenAI’s NL2SQL feature shows how natural language can simplify data interaction — even for JSON documents. Yet, because JSON embeds both data and metadata within a single column, LLMs may struggle without explicit schema cues.

By creating well-structured views that reveal JSON’s internal organization, you can transform unstructured data into a relational format the model understands — improving both query accuracy and overall usability.

This approach…

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Discover how to tame big tables using LIMIT and OFFSET in MySQL! This post makes pagination easy for newcomers, using friendly library metaphors, step-by-step SQL examples, and practical tips to help you view your data one page at a time.

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This blog post introduces the MySQL Autopilot Indexing feature.

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We are excited to announce the release of Natural Language to SQL (NL2SQL) capability for MySQL (with the AI option) and MySQL HeatWave cloud service. Natural language interface is essential for modern data platforms, allowing users to explore information more quickly.

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Ready to grow your querying skills? This post introduces curious newcomers to the WHERE clause in MySQL, showing how simple conditions, clever operators, and cheerful library metaphors can help you filter data like a pro. Find the exact records you need using approachable SQL examples—no dusty catalogs required!

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We’re introducing a powerful set of enhancements aimed at boosting service availability and manageability thereby simplifying migrations from AWS Aurora, RDS, or MySQL on EC2, and improving performance.

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MySQL is still the workhorse behind modern applications. From SaaS platforms to e-commerce, it powers the transactional data that businesses rely on. As more organizations adopt Kubernetes for its promise of portability, automation, and infrastructure efficiency, it’s natural to want MySQL to live alongside the rest of the stack. Running databases as containers is appealing: one control plane, unified pipelines, and elastic scaling.

But while Kubernetes makes stateless services almost effortless, MySQL exposes the limits of that model. Persistence, replication, and…

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This blog post shows the performance evaluation of the BLOB_INLINE_SIZE column option for NDB tables in comparison without it, as well as the benefits of batching BLOB read and writes.

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