Having fun with Jolt transformations

Jolt is a Java library which can be used to transform JSON to JSON (here). A Jolt transformation itself is also a JSON file. You can use it in products such as Apache NiFi and Apache Camel. In this blog post I'll describe my first experiences with Jolt transformations. 

For me personally Jolt transformations are not intuitive and not that powerful when for example compared to the capabilities of XSLT for transforming XML. It is available in Apache NiFi though and can be used without the 'execute code' permission, that is why I decided to use it to transform JSON files. I might misunderstand basic Jolt concepts which can cause suggested solutions to be overly complex or in other ways suboptimal.

Apache NiFi: JSON to SOAP

Apache NiFi is a powerful open source integration product. A challenge you might encounter when integrating systems is that one system can produce JSON messages and the other has a SOAP API available. In this blog post I'll show how you can use NiFi to convert JSON input to a SOAP service call. This involves abstracting an AVRO schema for the JSON, converting it to XML and transforming the XML to a SOAP message. 

In this example I'm using several publicly available websites. You should of course be careful. Do not copy/paste sensitive XML or JSON on these sites!

Apache NiFi: Automating tasks using NiPyAPI

Apache NiFi has a powerful web-based interface which provides a seamless experience between design, control, feedback, and monitoring. Sometimes however, you want to automate tasks instead of doing them manually using the UI. This does not only allow you to perform the tasks a lot quicker but it also helps make them more reproducible. It allows you to incorporate tasks in for example a CI/CD system without requiring human intervention. A NiFi feature to help you automate tasks is its powerful API. In order to more easily use this API from Python, NiPyAPI is available. In this blog post I'll describe some things you can do with NiPyAPI, some challenges I encountered and how I fixed them. You can find my sample code here.