Java 8 streams and JTA chunking?


Java 8 streams are very expressive – even if RxJava is even more ;) – but sometimes EE integration is not that advanced. In case of a batch import of data it would be handy to use Stream API since we iterate over data to persist them but how to ensure we can use chunking – ie get a commit interval to not commit for each record?

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A single TomEE ApplicationComposer instance for all your tests!


TomEE ApplicationComposer is a nice solution for embedded EE testing. The goal is to describe its application in Java and deploy this model. However it starts OpenEJB and deploys/undeploys the application either by class or method depending the setup.

When this feature can be insane for small deployments which would benefit of an insanely easy configuration and simple mock solution it can be an issue for application deploying again and again the same model.

To avoid that the coming TomEE 7.0.0-M2 provides a new JUnit runner but you can already benefit from it with a single class!

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JavaEE and Swagger: TomEE example


More and more applications are composed of REST services. In JavaEE land it means you develop and expose JAX-RS services.

Once developped and well tested with TomEE the first thing you will realize is that to make an API useful you need to document it. There are a lot of ways to do it but Swagger seems to be the trendy one and it is indeed a nice solution as we’ll see in this post.

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Mix TomEE embedded and Angular 2 with Maven


Since months a typical web application is a JAX-RS for the server-side and a javascript on the client-side.

This powerful architecture can sometimes reveal some challenges in the build pipeline.

However today it is not that hard to mix both frontend and backend build tools to get a single build pipeline easily integrable in a continuous integration solution.

To illustrate that we’ll digg into how to create an Angular 2 application packaged with Maven.

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JPA + Java8 Stream = paginated findAll()


For batch tasks it is quite common to need to browse a full table. Depending the table it can be done in memory without thinking much or it can be too big and needs pagination.

A common solution was to use a kind of PageResult object which was representing the current page and its index and let the client/caller iterating over PageResults.

With java 8 streams the API can be more concise and efficient.

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