In one of my previous Spring Batch blog articles, I wrote about the need to read a set of data, process the data, and export the transformed data into XML for consumption by another system. In this blog, I’ll be doing the opposite. Iโll show you how to read data from an XML format instead.
Comments In Our Code: Necessary or Not?
No matter what your opinion is on comments, one thing is universally true: developers should create code that the next developer can understand.
Sometimes, comments are a safe, simple way to leave the code better than how you found it. Sometimes, extracting sections of code into a well-named method can be an alternative way of doing this, with the added benefit that (a) you can test this method individually and (b) it may help you to spot smells in your code or see places for further refactoring or simplification.
Each situation you encounter will require different treatment, but I hope this post has given you a starting place for creating clean, readable code in your own life!
Spring Boot With GraphQL: What The Cool Kids Are Doing
Attention: This article was published over 5 years ago, and the information provided may be aged or outdated. While some topics are evergreen, technology moves fast, so please keep that in mind as you read the post.This article is going to introduce you to Spring Boot with GraphQL. Weโll walk through a simple beer app to show you what it …
Spring Batch: Using JAXB And StaxEventItemWriter To Generate XML
While working with a client recently, my team was given the task to retrieve the held securities and account data from the system and export it to XML with the goal of importing it into another external system. The solution involved building a Spring Batch job that would read a set held security data, export that to XML data, and deliver the file to the external vendor securely.
In this blog, I’ll be giving a tutorial on how to execute this solution. These requirements form the basis for the example we’ll use.
Utilizing Spring Batch for Large Dataset Summarization
Attention: This article was published over 6 years ago, and the information provided may be aged or outdated. While some topics are evergreen, technology moves fast, so please keep that in mind as you read the post.I was recently tasked with summarizing the data of a several-million-row table, and the task proved to be a bit grueling at first. Eventually, …





