XML Processing Made Easy with Ballerina

XML Processing Made Easy with Ballerina

XML Processing Made Easy with Ballerina. Let's take a look at a modern approach in handling XML as a built-in functionality in a programming language.

Introduction

The Ballerina programming language contains built-in support for XML data. It supports defining, validating, and manipulating XML directly from the language syntax itself. In this article, we will go through its features, and how to use it effectively.

Creating and Manipulating XML

The first approach when defining an XML value in Ballerina is to use direct literals. 

The XML value above is created using the XML literal syntax. In this way, the compiler identifies this specifically as an XML value and validates the literal value given by the user. So if we have mistakes in the XML value, such as mismatching start/end tags, you will be immediately given an error at compile-time, and of course, it will be highlighted as an invalid value in the IDE. 

An XML value in Ballerina is structured as a sequence of singleton XML values. These singletons are XML elements, processing instructions, comments, and text. The following example shows how to create a single XML value by combining two XML elements.

xml data schema transformation ballerina

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Applications Of Data Science On 3D Imagery Data

The agenda of the talk included an introduction to 3D data, its applications and case studies, 3D data alignment and more.

Data Quality Testing Skills Needed For Data Integration Projects

Data Quality Testing Skills Needed For Data Integration Projects. Data integration projects fail for many reasons. Risks can be mitigated when well-trained testers deliver support. Here are some recommended testing skills.

Database Vs Data Warehouse Vs Data Lake: A Simple Explanation

A data lake is totally different from a data warehouse in terms of structure and function. Here is a truly quick explanation of "Data Lake vs Data Warehouse".

How To Blend Data in Google Data Studio For Better Data Analysis

Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories.

Data Transformation

Data Transformation - Understanding why the “Unsexy” component of a data scientist’s job could be one of the most important and cool parts