It's been a while since the last Countdown blog post, but the release of 2.0.0.RC3 gives me a good reason to write another. In the last post, I focused on database migration and how we are standardising on the new Database Migration Plugin. I'll be continuing on the theme of persistence here and introducing several Read more…

We saw in the previous blog post Using Cloud Foundry Services with Spring: Part 2 – Auto-reconfiguration that when you deploy a Spring application, your use of data services will be detected, and your application will automatically be re-configured to use the cloud services available to your application. This works great for simple applications and Read more…

Java enterprise applications can take many shapes and forms. Depending on their requirements, developers need to decide which specific architectural layers their application needs. Up until now, Spring Roo has taken a pragmatic approach to reduce the often unnecessary complexity introduced by service facade, repository or DAO layers. The newly-released Spring Roo 1.2.0.M1 (see announcement) Read more…

When the new open source Platform-as-a-Service (PaaS) offering Cloud Foundry from VMware launched earlier this year, it included a relational database service powered by MySQL along with the NOSQL options of MongoDB and Redis. One of the promises of the Open PaaS is to provide choice both in languages and frameworks you can develop with Read more…

One of the many nice features of Grails is the way it will automatically create your database schema for you from your domain model. Admittedly it's a feature of Hibernate that Grails uses, but still, it helps you get started very quickly with database-driven web applications without having to worry about the database schema. What Read more…

Spring has rich support for transaction management through its PlatformTransactionManager interface and the hierarchy of implementations. Spring's transaction support provides a consistent interface for the transactional semantics of numerous APIs. Broadly, transactions can be split into two categories: local transactions and global transactions. Local transactions are those that affect only one transaction resource. Most often, Read more…

It's only been a few days only since we've released Spring Data JPA 1.0 GA which is the first major version of a Spring Data project shipping with an implementation of the repository abstraction inside our Spring Data Commons module. The repository abstraction consists of three major parts: defining a repository interface, exposing CRUD methods Read more…

Traditionally, applications have been defined by the principle technology they use. If you're building a Spring MVC application, we call it a "Java app". Since our application is primarily composed of Java components, we tend to stay in our own yards and not be terribly friendly with our neighbors until we're forced to interact with Read more…

One of the drivers behind the popularity of NoSQL solutions is performance (especially) under heavy loads. Due to their data model, key value stores lead the pack, providing lightweight yet flexible means of working with data. In this entry, I am going to quickly showcase what it takes to work with a key value store Read more…

In my last blog post I introduced the basic feature set of Spring Data JPA. In this post I'd like to dive into some more features and how they can help you simplify data access layer implementation even further. The Spring Data repository abstraction consists of an interface based programming model, some factory classes and Read more…