InterSystems IRIS supports a unique data structure, called globals, for information storage. Essentially, globals are persistent arrays with multi-level indices, having several extra capabilities—transactions, quick traversal of tree structures, and a programming language known as ObjectScript.

I'd note that for the remainder of the article, or at least the code samples, we'll assume you have familiarised yourself with the basics of globals:

Globals Are Magic Swords For Managing Data. Part 1.
Globals - Magic swords for storing data. Trees. Part 2.
Globals - Magic swords for storing data.

The capacity of taking numerous records every second while also facilitating real-time queries simultaneously in real time is called Hybrid Transactional Analytical Processing (HTAP). It is also called Transactional analytics or Transanalytics or Translytics and is a very useful element in scenarios where there is constant flow of real time data coming from IIOT sensors or data on fluctuations in stock market, and supporting the need for querying these data sets in real-time or near real-time.

It’s often useful to make changes inside the current transaction, that would not be rolled-back if transaction is rolled-back. For example to do some logging.

This can be achieved by using global that is mapped to temporary database -- IRISTEMP. All globals that start with ^IRIS.Temp* are mapped to IRISTEMP by default. Problem with such approach is that IRISTEMP is cleaned on InterSystems IRIS restart, so this log is lost.

What else you can do is -- suspend transaction temporarily, do the logging, and then resume the same transaction.

Overview

This web interface is designed to facilitate the management of Data Lookup Tables via a user-friendly web page. It is particularly useful when your lookup table values are large, dynamic, and frequently changing. By granting end-users controlled access to this web interface (read, write, and delete permissions limited to this page), they can efficiently manage lookup table data according to their needs.

The data managed through this interface can be seamlessly utilized in HealthConnect rules or data transformations, eliminating the need for constant manual monitoring and management of the lookup tables and thereby saving significant time.

Note:
If the standard Data Lookup Table does not meet your mapping requirements, you can create a custom table and adapt this web interface along with its supporting class with minimal modifications. Sample class code is available upon request.