XML Processing Made Easy with Ballerina

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

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XML Processing Made Easy with Ballerina

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

A Complete Process to Create an App in 2021

It’s 2021, everything is getting replaced by a technologically emerged ecosystem, and mobile apps are one of the best examples to convey this message.

Though bypassing times, the development structure of mobile app has also been changed, but if you still follow the same process to create a mobile app for your business, then you are losing a ton of opportunities by not giving top-notch mobile experience to your users, which your competitors are doing.

You are about to lose potential existing customers you have, so what’s the ideal solution to build a successful mobile app in 2021?

This article will discuss how to build a mobile app in 2021 to help out many small businesses, startups & entrepreneurs by simplifying the mobile app development process for their business.

The first thing is to EVALUATE your mobile app IDEA means how your mobile app will change your target audience’s life and why your mobile app only can be the solution to their problem.

Now you have proposed a solution to a specific audience group, now start to think about the mobile app functionalities, the features would be in it, and simple to understand user interface with impressive UI designs.

From designing to development, everything is covered at this point; now, focus on a prelaunch marketing plan to create hype for your mobile app’s targeted audience, which will help you score initial downloads.

Boom, you are about to cross a particular download to generate a specific revenue through your mobile app.

#create an app in 2021 #process to create an app in 2021 #a complete process to create an app in 2021 #complete process to create an app in 2021 #process to create an app #complete process to create an app

Making Sense of Unbounded Data & Real-Time Processing Systems

Unbounded data refers to continuous, never-ending data streams with no beginning or end. They are made available over time. Anyone who wishes to act upon them can do without downloading them first.

As Martin Kleppmann stated in his famous book, unbounded data will never “complete” in any meaningful way.

“In reality, a lot of data is unbounded because it arrives gradually over time: your users produced data yesterday and today, and they will continue to produce more data tomorrow. Unless you go out of business, this process never ends, and so the dataset is never “complete” in any meaningful way.”

— Martin Kleppmann, Designing Data-Intensive Applications

Processing unbounded data requires an entirely different approach than its counterpart, batch processing. This article summarises the value of unbounded data and how you can build systems to harness the power of real-time data.

#stream-processing #software-architecture #event-driven-architecture #data-processing #data-analysis #big-data-processing #real-time-processing #data-storage

XML Dataset: XML Parsing Made Easy

XML Dataset: simple xml parsing

• Documentation: https://xmldataset.readthedocs.io

A Python library that simplifies the extraction of datasets from XML content.

XML is a simple markup format. Whilst simple, extracting data of interest is often more complicated than it needs to be.

xmldataset addresses this through an easy to use plaintext declaration that follows the structure of the XML document. The declaration is indented, matching the XML structure, the data we are interested in is tagged against a dataset.

Features

• Handles missing data from the XML structure, if it’s missing in the XML it is not populated in the dataset
• Handles both XML Elements and Attributes using the plaintext collection schema (attributes are depicted as a sublevel of an element)
• Easy to rename XML attributes/elements during processing to meet your requirements
• Inline manipulation of XML content through the process mechanism
• Dispatch mechanism, allows datasets to be dispatched for every N instance to allow asynchronous processing

Author: spurin
Source Code: https://github.com/spurin/xmldataset
License: BSD-3-Clause License

#python #html #xml 

GraphQL Made Easy With Ballerina

Take a look at how the Ballerina programming makes it a trivial task to implement a feature-rich GraphQL scenario using its in-built services functionality.

Introduction

GraphQL has become a prominent technology in implementing data APIs. It provides a convenient and intuitive approach for querying data. Let’s look at a sample use case using the  Ballerina programming language and see how GraphQL compares to other traditional approaches such as implementing REST-style HTTP APIs.

Use Case: E-commerce Data Query

Let’s take a typical e-commerce scenario of processing orders in an online store. The entity-relationship diagram below shows a typical representation that can be used in a relational database. This is of course a simplified representation of a real-life implementation.

One approach for exposing such a data set would be to create a service with operations for each database table. This would be similar to the following.

• getOrder(id): OrderInfo
• getCustomer(id): CustomerInfo
• getShipper(id): ShipperInfo

#graphql #ballerina #microservice