Articles Tagged ‘db’

Using Throwaway Containers for Integration Testing with Java, JUnit 5 and Testcontainers.

Wednesday, January 30th, 2019

A lot of boilerplate code is written when developers need to test their applications with different connected systems like databases, stream platforms and other collaborators.

Docker allows to handle those dependencies but there is still some glue code required to bind the container’s lifecycle and the configuration to the concrete integration test.

Testcontainers is a testing library that offers lightweight throwaway instances of anything able to run in a Docker container, with bindings to configure the specific containers and also provides wrappers to manage our own custom containers.

In the following short tutorial I am going to demonstrate how to start Apache Kafka as well as a classical Postgresql database from a JUnit 5 integration test.

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Using jetstreamDB as in-memory Database for Java

Saturday, June 30th, 2018

JetstreamDB is a in-memory database engine for Java that claims to be built for ultra-high speed and the ability of managing complex data structures by storing real Java objects instead of serializing data structures to other database specific formats.

In the following short example I would like to demonstrate how to create and read items from such a database by building a small article management sample app.

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Creating and Providing HipChat Integrations with Atlassian Connect, Nodejs and Express

Tuesday, August 18th, 2015

HipChat is Atlassian’s alternative to Slack and its solution to team collaboration chats. Atlassian Connect offers developer tools to bootstrap applications, connect to Atlassian’s cloud products with easy and in combination with HipChat’s REST APIs allows us to write integrations for such a chat server in no time.

In the following tutorial I’d like to show how to write an integration within a few steps using Atlassian Connect, Node.js and Express and how to connect the integration to a HipChat server.

Finally on the one hand I’m going to explain how to speed up local development with ngrok, an in-memory database and nodemon for automatic application restarts and on the other hand I’m going to demonstrate how to configure the application for production, running with a Redis key-value store on Heroku.

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Java EE 7 Database Migrations with Liquibase and WildFly

Thursday, July 31st, 2014

I have written about other database migration frameworks before but in this article I’d like to cover the Liquibase framework in combination with WildFly as Java EE 7 compatible application server.

In the following tutorial, we’re going to write a full Java EE 7 book store application with a few steps and with Liquibase on board to create the database structure and insert example data into the database.

Thanks to the WildFly Maven Plug-in we even do not need to download and configure the application server but let Maven and the plug-in do the work for us.

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