One of the standout features of dbForge Studio is its ability to import data from various sources, including ODBC data. This significantly expands your capabilities, both for direct conversion of data stored on different platforms and for the convenient development of database-related objects such as ETL procedures, reports, and more.

The post How to Migrate From SQL Server to MySQL appeared first on Devart Blog.

MySQL 8.0 and newer change and improve how we measure and monitor replication lag. Even though multi-threaded replication (MTR) has been on by default for the last three years (since v8.0.27 released October 2021), the industry has been steeped in single-threaded replication for nearly 30 years. As a result, replication lag with MTR is a complicated topic because it depends on version, configuration, and more. This three-part series provides a detailed understanding, starting from what was originally an unrelated feature: binary log group commit.

It’s very difficult explaining to students new to relational databases how SQL works. There are many parts that seem intuitive and then there are others that confuse and confound.

For beginners, the idea that a SQL statement is simply a text string that you must dispatch to a SQL statement processing engine is new. That’s because they use an Integrated Development Environment (IDE) that hides, or abstracts the complexity, of how SQL executes.

I start my core SQL class by demonstrating how to run a text literal query without a FROM clause in MySQL Workbench, like this:

SELECT 'Hello World!' AS "Output";

After writing the query, I highlight everything except the semicolon and click the lightening bolt that dispatches the static string to the SQL statement engine. They see this result:

Then, I launch a mysql Monitor session and write the query with a semicolon to dispatch the SQL …

Installing Example Databases on HeatWave Using Cloud Shell and MySQL Shell

A new feature to MySQL NDB Cluster replication allows the NDB data nodes to skip sending unnecessary updates to subscribing MySQL Server nodes. These updates reflect changes that occurred in the NDB cluster, and some subscribing MySQL Servers are configured to discard changes applied by a replica or that are not to be written to binary log at all. Instead of having MySQL Servers discarding changes, the NDB data nodes do such work for them saving computing resources for the whole cluster.

You can connect to MySQL Server using MySQL Client (the command-line utility) and GUI tools. This article will review each method in detail.

The post How to Connect to a MySQL Database appeared first on Devart Blog.

In this guide, we are going to walk you through the process of transferring a database from a local machine or a traditional server to AWS with the help of the command line as well as with a convenient GUI - dbForge Studio for MySQL.

The post How to Migrate MySQL Database to Amazon RDS or Aurora appeared first on Devart Blog.

Join us for an in-depth webinar where we introduce the new Helm Chart for Galera Cluster for MySQL, now available from Codership (read the blog).

In this session, we’ll guide you through the process of deploying a high-availability MySQL cluster using Galera Cluster on Kubernetes (live demo!). You’ll learn how Helm Charts can simplify Kubernetes application management, including installation and upgrades, while ensuring robust deployment automation.

This webinar is ideal for database administrators, DevOps engineers, and anyone looking to streamline their MySQL high availability deployments on Kubernetes, whether on cloud platforms like Amazon EKS, Google GKE, or on-premises solutions. We’ll cover best practices for configuration, deployment, and scaling of your Galera Cluster, and offer insights on how to …

Interpreting the results and exit codes of your upgrade tests is essential for assessing the process’s outcome. In this blog, we’ll explore the significance of pt-upgrade return codes and how…

The post Understanding Return Codes of pt-upgrade: A quick guide first appeared on Change Is Inevitable.

HeatWave MySQL now supports Automatic Storage Expansion. HeatWave Automatic Storage Expansion dynamically adjusts storage capacity to accommodate increasing database workloads, ensuring continuous operation without any downtime.