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ENUM Data Type in MySQL: Syntax, Examples and Best Practices

Learn how to use ENUM in MySQL to store predefined values efficiently. Find syntax, examples, and best practices for the ENUM data type.

The post ENUM Data Type in MySQL: Syntax, Examples and Best Practices appeared first on Devart Blog.

MySQL TIMESTAMPDIFF() Function: Syntax, Examples & Use Cases

The TIMESTAMPDIFF() function in MySQL calculates differences between two points in time. This article explores TIMESTAMPDIFF(), covering its syntax, everyday use cases, and best practices for real-world applications.

The post MySQL TIMESTAMPDIFF() Function: Syntax, Examples & Use Cases appeared first on Devart Blog.

Doing a 'Incremental' Dump With MySQL Shell

In this post, we demonstrate how to perform an incremental dump of data using MySQL Shell by leveraging the `util.dumpBinlogs()` function.

Hytera Leverages MySQL Enterprise Edition to Enhance Equipment Performance and Boost Data Security

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.

Doing a ‘Incremental’ Dump With MySQL Shell

In previous posts, I discussed how to use MySQL Shell to dump and load data using a multithreaded process. When using util.dumpInstance(), we create a dump of all the data and schema changes, even those that have already been dumped previously. But what if we only want to dump the data and schema changes that have occurred since the last dump? In […]

MySQL HeatWave as Vector Store and more with GenAI

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 […]

MySQL HeatWave as Vector Store and more with GenAI

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

Using Readyset Caching with AWS RDS MySQL

Readyset is a next-generation database caching solution that offers a drop-in; no application code changes; approach to improve database performance. If you are using a legacy application where it is difficult to modify SQL statements, or the database is overloaded due to poorly-designed SQL access patterns, implementing a cache is a common design strategy for addressing database reliability and scalability issues.

Using Readyset Caching with AWS RDS MySQL

Readyset is a next-generation database caching solution that offers a drop-in; no application code changes; approach to improve database performance. If you are using a legacy application where it is difficult to modify SQL statements, or the database is overloaded due to poorly-designed SQL access patterns, implementing a cache is a common design strategy for addressing database reliability and scalability issues.

MySQL HeatWave as Vector Store and more

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 […]