#Data Import and Export

Dynamic Entities (objects and arrays) in IRIS are incredibly useful in situations where you are having to transform JSON data into an Object Model for storage to the database, such as in REST API endpoints hosted within IRIS. This is because these dynamic objects and arrays can easily serve as a point of conversion from one data structure to the other.

Hello everybody, 

I would like to export project contents using Visual Studio Code, as well as I do with InterSystems Studio.

However, while attempting the export through the InterSystems extension I get the following error:

- There are no folders in the current workspace that code can be exported to.

These are the step to reproduce my error:

1. Create and save a new VSCode workspace
2. Open a local directory 
3. Go to the InterSystems extension
4. Open "Projects" panel and right-click on the project you want to export
5. Click on "Export Project Contents"

Anyone can help me solving this issue?

Hello Community! 👋
Welcome to the second part of the IRIS IO Utility series. This extension represents my submission for the InterSystems "Bringing Ideas to Reality" Contest 2025 and offers you an intuitive and powerful interface for importing and exporting data directly inside VS Code.

• You can find the extension on my GitHub page: pietrodileo/iris_io_utility
• VSIX file to install the extension on VSCode can be found on the related release page: releases: iris-io-utility

If you find this extension useful, please consider voting for me at the contest!

I'm pleased to announce the publication of gj :: dataLoader, a new VS Code extension that simplifies the task of loading data from local CSV files into SQL tables on your InterSystems IRIS servers.

Here's an introductory video:

gj :: dataLoader is now available on Marketplace for direct installation into VS Code. It is my entry in the "Bringing Ideas to Reality" Contest 2025 and implements this idea - https://ideas.intersystems.com/ideas/DPI-I-667

Feedback is welcome.

Hello Developers! 👋
I’m excited to introduce IRIS IO Utility, my submission for the InterSystems "Bringing Ideas to Reality" Contest 2025. This VS Code extension provides you an intuitive and powerful interface for importing and exporting data without leaving your IDE. The extension implements and expand this idea submitted on the Ideas Portal turning a common developer need into a real tool: seamless IO operations with any IRIS instance directly inside VS Code.

Hi,

It's me again😁, recently I am working on generating some fake patient data for testing purpose with the help of Chat-GPT by using Python. And, at the same time I would like to share my learning curve.😑

1st of all for building a custom REST api service is easy by extending the %CSP.REST

Creating a REST Service Manually

Let's Start !😂

1. Create a class datagen.restservice which extends  %CSP.REST

Class datagen.restservice Extends %CSP.REST
{
Parameter CONTENTTYPE = "application/json";
}

2.

Hi folks!

It is very easy to import CSV data into IRIS. But what if we want to preserve the original IDs in CSV?

Recently I came across with the situation when I needed to import two csv's into IRIS which were linked by one column referencing  to another csv's col: a typical Foreign Key and Primary Key situation, where csv1 contains this column as Primary Key, and csv2 as Foreign key with id's related to csv1.

The image is generated by ChatGPT so don't blame it - it tried its best to generate countries as primary keys with countries.csv-cities.csv relationship :)

Profiling CCD Documents with LEAD North’s CCD Data Profiler
Ever opened a CCD and been greeted by a wall of tangled XML? You’re not alone. Despite being a core format for clinical data exchange, CCD's are notoriously dense, verbose, and unfriendly to the human eye. For developers and analysts trying to validate their structure or extract meaningful insights, navigating these documents can feel more like archaeology than engineering.