In this post, we demonstrate how to perform an incremental dump of data using MySQL Shell by leveraging the `util.dumpBinlogs()` function.
Based in China, Hytera Communications Corporation Limited is a global leader in providing innovative communications technologies and solutions. MySQL Enterprise Edition has enhanced both the performance and security of their systems, enabling them to deliver high-quality, reliable solutions to their customers. With MySQL’s competitive advantages, Hytera can continue to drive customer satisfaction and maintain its position as a global leader in mission-critical communications.
In this article you will see how to create embeddings of your database's content and store those vectors in MySQL HeatWave. Then you will discover the power of HeatWave GenAI to RAG your data with LLMs
MySQL HeatWave integrates GenAI capabilities into MySQL on OCI. We have demonstrated how HeatWave GenAI can leverage RAG’s capability to utilize ingested documents (unstructured data) in LakeHouse and generate responses to specific questions or chats. See: The common theme here is the use of data stored in Object Storage (LakeHouse). I previously discussed how to […]
When performing backups, reducing the amount of time your server is locked can significantly improve performance and minimize disruptions. Percona XtraBackup 8.4 Pro introduces improvements in how DDL (Data Definition Language) locks (aka Backup Locks) are managed, allowing for reduced locking during backups. In this post, we’ll explore the impact of these enhancements. TL;DR (Summary) […]
How to use MySQL HeatWave on AWS and OCI and connect them to replicate.
In the previous post, we saw how to deploy MySQL HeatWave on Amazon. Multicloud refers to the coordinated use of cloud services from multiple providers. In addition to our previous post, where we deployed MySQL HeatWave on Amazon, we will explore how to connect with another cloud service. Oracle has partnered with Microsoft to offer […]
MySQL databases serve as the foundation of countless applications, powering everything from simple blogs to massive enterprise platforms. But as these applications evolve and user bases expand, MySQL performance issues tend to pop up and ensuring smooth database performance becomes crucial. Fast queries mean happy users, while sluggish performance can lead to frustration and lost […]
I just submitted a MySQL Contribution and I would like to gather feedback about it. Depending on the received feedback, I might submit an updated contribution. The contribution is Counters for Slow InnoDB Sync Reads, and its goal is to make MySQL easier to operate on “complex” IO subsystems (like network drives in the cloud).
The bug report / feature request Bug #117740 :