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Introducing JSON/Relational Duality for MySQL REST Service

JSON/Relational Duality for MySQL REST Service The MySQL REST SERVICE (MRS) now adds full support for JSON/Relational Duality to combine the benefits of both relational tables and JSON documents, without the tradeoffs of either model. MySQL Shell for VS Code offers full SQL support for JSON/Relational Duality REST views and an intuitive, easy-to-use JSON/Relational Duality […]

MySQL October 2023 GA Releases Now Available

MySQL Server 8.2.0, 8.0.35 and 5.7.44 are now available for download.  These are the latest General Availability (GA) releases as of October 24, 2023. MySQL Server 8.2.0 GA, an innovation release includes: MySQL Server 8.0.35 GA release includes: MySQL Server 5.7.44 GA release includes: Both 8.0.35 and 8.2.0 releases come with full production support. What’s new […]

How to batch INSERT statements with MySQL and Hibernate

Introduction In this article, we are going to see how we can batch INSERT statements when using MySQL and Hibernate. While Hibernate has long supported automated JDBC batch inserts, this feature doesn’t work when using the IDENTITY identifier generator strategy. Unfortunately, MySQL doesn’t support SEQUENCE objects, so using IDENTITY is the only reasonable option. Therefore, I’m going to show you a technique you can use to get Hibernate batch INSERT statements for entities that use the IDENTITY generator. Default batch INSERT with MySQL and Hibernate Let’s say we have created the following... Read More

The post How to batch INSERT statements with MySQL and Hibernate appeared first on Vlad Mihalcea.

Developer Interview with Kyle Galbraith – OpenLampTech Repost

OpenLampTech continues to publish stellar content and be a sounding board for developers. I have recently published another fantastic developer interview in the publication. Don’t miss this valuable content.

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Simple Example of MySQL Date Comparison

This tutorial helps to understand MySQL Date Comparison with examples. MySQL offers a rich set of functions and operators to handle date and time data. We’ll go through working with dates in date comparison. There are a number of conditions in web applications where we need to to filter, sort, and manipulate data based on […]

The post Simple Example of MySQL Date Comparison appeared first on Phpflow.com.

Introducing Bulk Ingest Functionality in MySQL HeatWave on AWS

Introducing Bulk Ingest Functionality in MySQL HeatWave on AWS   Overview MySQL HeatWave on AWS provides a MySQL native data import functionality (LOAD DATA statement) to import data from a client machine into a table in MySQL. This is convenient if you only want to import a small data set into MySQL HeatWave. However, enterprise […]

Introducing Bulk Ingest Functionality in MySQL HeatWave on AWS

Introducing Bulk Ingest Functionality in MySQL HeatWave on AWS

Using CLONE INSTANCE With DATA DIRECTORY on Replicas With Data

This blog post discusses using the [crayon-659c2fe27b13a472295750-i/]  command with the safety option [crayon-659c2fe27b141470126814-i/]  when you do not have enough disk space to store two datasets.In my previous blog post on the [crayon-659c2fe27b142478330007-i/]  command, The MySQL Clone Plugin Is Not Your Backup, I mentioned that using the option [crayon-659c2fe27b143176725038-i/]  helps to avoid situations where you need to re-initialize […]

Read column names from headers in data files with MySQL HeatWave Lakehouse

Introduction MySQL HeatWave is a fully managed database service, delivering the best performance and price-performance in the industry for data warehouse and data lake workloads. It is available in Oracle Cloud, AWS, and Azure, and offers fully automated in-database machine learning and uses machine learning to automate various aspects of the database services which reduces […]

Read column names from headers in data files with MySQL HeatWave Lakehouse

In this blog post we will see how to use MySQL HeatWave Lakehouse to load data using MySQL Autopilot and have it automatically extract the header row to use as column names in the generated tables.

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