Software developer constantly need to implement and deploy a new version of an application. In issue 5-2017 of German Java magazine, our colleague Steffen Mall argues that simple and fast refactoring of a database model is one of the most important things in order to implement flexible business requirements.
Java, Web and Mobile
Category: Java EE
Setup your local development workspace with test data to ensure that each developer is able to start immediately on a clean and useful workspace.
Java EE7 introduced JSON-P, which is supposed to standardize processing and parsing of JSON. This year, EE8 now brings ‘Java API for JSON Binding’ (JSON-B). Time for a closer look.
Using an object-relational mapping framework like Hibernate disburdens developers from creating complex DDL scripts to setup an application’s database schema. However, in real life such scripts are still needed – at least for the DBA who forbids applications to alter database objects. This post shows how to easily generate the database schema DDL script without typing an SQL commands.
Unit testing is essential to produce good software. As a unit test is intended to cover only a very small piece of code we need to mock out other components. This post provides an introduction into the widely used mocking framework Mockito.
In addition to my first liquibase post I give you some best practice in order to integrate liquibase in JUnit using hibernate JPA to ensure same datamodel during unit test and other stages. Use the power of mockito to setup your JUnit test class and inject your entity manager.
About two weeks ago, June 15th-17th, the Java Enterprise Summit and the Microservices Summit 2016 took place in Munich, Germany. While having the chance to visit two events at the same place, there was a lot new input for all attendees.
Simple and fast refactoring of your database model is one of the most important things in order to implement flexible business requirements. Learn the basics of continuous database integration with liquibase. Liquibase supports tracking, managing and applying database schema changes. Feel the power and simplicity of liquibase.
Long running transactions might be killed by the App Server’s Transaction Reaper. I have implemented a litte helper to programmatic handle such kinds of exceptions.
For long running transactions sometimes we wish to commit a kind of intermediate result to the database. This sounds pretty simple – however, if we do not want to commit the current transaction, you may run into deadlock situations. In my current project I implemented a nice solution using JPA and EJB.