F.Marchioni When working with JPA (Java Persistence API) and defining entity classes, it’s crucial to avoid using reserved words as identifiers for attributes or table names. Failure to do so may lead to SQL syntax errors, as demonstrated by the given issue.
In this tutorial, we’ll walk through the steps to resolve the SQL syntax error caused by using reserved words in a JPA entity class.
The error java.lang.OutOfMemoryError:Metaspace indicates that you have exhausted an area of JVM which serves as a registry for your application’s Class Metadata. This article is a step-by-step guide to analyze the issue, determine the root cause of it and take actions to resolve it.
This article will detail how to get started quickly with Jakarta EE which is the new reference specification for Java Enterprise API. As most of you probably know, the Java EE moved from Oracle to the Eclipse Foundation under the Eclipse Enterprise for Java (EE4J) project. There are already a list of application servers which offer a Jakarta EE compatible implementation such as WildFly. In this tutorial we will learn how to bootstrap a Jakarta EE project.
In the third article of this series, we will learn how to configure RabbitMQ as broker for a Reactive Application running on WildFly. We will show which are the changes we need to apply both on Rabbit MQ and on the Reactive Application to make them work together smoothly.
In this updated article we will learn how to deploy an application built with WildFly Bootable JAR Maven on OpenShift using JKube Maven plugin. We will show how to add the plugin configuration to your Maven project and how to run and test the application on OpenShift.
This tutorial will teach you how to run WildFly applications on Openshift using WildFly S2I images. At first, we will learn how to build and deploy applications using Helm Charts. Then, we will learn how to use the S2I legacy approach which relies on ImageStreams and Templates.
In the second article of this series, we will learn how to code, configure and deploy a Reactive Application using WildFly and an AMQP Broker such as Artemis MQ. We will show step-by-step how to set up the environment with Docker and deploy an example application on WildFly.
In this updated tutorial we will learn how to design, configure and deploy a Messaging Reactive application on WildFly, using smallrye-reactive-messaging and Apache Kafka as distributed data streaming platform for our demo application.
GitHub Actions provides powerful capabilities for automating workflows, including the ability to control job execution based on specific conditions. By using if conditions in workflow files, you can create dynamic workflows that execute certain steps or jobs only when certain conditions are met. In this tutorial, we’ll explore how to use if conditions in GitHub Actions workflows, along with basic examples and variations to demonstrate their usage.
Introduction: GitHub Actions and Jenkins are two popular tools used for automating software development workflows, including continuous integration (CI) and continuous delivery (CD). While both serve similar purposes, they have different architectures, features, and capabilities. In this tutorial, we’ll compare GitHub Actions and Jenkins, explore their key differences, and provide examples to illustrate their usage.