One of the pain points for maintaining HL7 interfaces is the need to run a reliable regression test upon deployment to new environments and after upgrades. The %UnitTest class allows unit tests to be created and packaged alongside interface code. Test data can also be maintained within the unit test class, allowing for quick and easily repeatable smoke-testing and regression testing.

Resources:

  • Standard %UnitTest class

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Hey everyone.

I'm currently looking at a process where we're utilising the Class Ens.StreamContainer, and was looking to do some deletions outside of any purge routines.

Having been burned before, I wanted to make sure that deleting the container also deletes the contents within.

From looking in the class, the %OnDelete ClassMethod appears to be removing an index from a search table and nothing more.

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Our client says the call to send email (method (%Net.SMTP).Send) started returning error # 6167 (Authentication expected but failed.) after installing IRIS 2022.1.2; email had worked before. Properties (%Net.Authenticator).UserName and .Password were configured. We can get email to work when we don't set property (%Net.SMTP).authenticator.

Any ideas what is going on? Thanks.

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Hello,

One of our clients has a 'Notes' class with over 3 million records. We have a report that pulls data from this table that was taking about an hour to run. Our test environment (which has a copy of the production database) runs the same report query in 1 second.

We attempted to purge and rebuild indices which made an improvement (down to 15 minutes) but still not great.

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Hi, Community!

Looking to get quicker insights from your supply chain data? See how InterSystems® Data Fabric Studio™ can help:

Leveraging Data Fabric Studio in Supply Chain Management

https://www.youtube.com/embed/R1KqK4uVNNI?utm_source=youtube&utm_medium=social&utm_campaign=R1KqK4uVNNI
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Hi everyone,


I'm currently testing out IRIS 2024.3 for a new project, and it's been running smooth for the most part. However, I noticed that when running some heavier analytical queries, the memory usage spikes more than I expected, even when result sets aren’t that large.

I’ve gone through the basics (buffer sizes, query plans, etc.), but I’m wondering if there are any new tweaks or recommended settings in 2024.3 specifically for managing memory better during these peak loads.

Anyone else run into something similar or have tips to fine-tune this?

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Hi Community,

Let's meet at the online meetup with the winners of the AI Programming Contest: Vector Search, GenAI and AI Agents! It's a great opportunity to chat with the InterSystems Experts team and our contestants.

Winners' demo included!

Date & Time: Thursday, April 10, 12:00 pm EDT | 6:00 pm CEST

https://www.youtube.com/embed/wRuuKtYSU74?si=v0YREzoZ15gMqEz_
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Background

Embeddings is a new IRIS feature empowering the latest capability in AI semantic search.
This presents as a new kind of column on a table that holds vector data.
The embedding column supports search for another existing column of the same table.
As records are added or updated to the table, the supported column is passed through an AI model and the semantic signature is returned.
This signature information is stored as the vector for future search comparison.

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I have a segment within a Group (grp) that needs to be validated that it is populated within the message.

When you use a Foreach within a Business Rule how should you account for the counter in the group?

For example, Epic sends their MFN message in the following format.

MSH~MFI~[~{~MFE~STF~PRA~[~ZPR~]~[~ZLK~]~[~CER~]~[~ZMG~]~[~ZTF~]~[~ZGP~]~[~ZDD~]~}~]

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Hey Developers,

Thank you very much for being a part of the InterSystems Developer Community Ecosystem for yet another year! We absolutely love that you participate in the life of the Developer Community, Open Exchange, Global Masters, and Ideas Portal.

We'd like to know how you feel about our portals. Please take a moment to let us know what you think and what could be improved:

👉 InterSystems Developer Ecosystem Annual Survey 2025 👈

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I am receiving the garbled text due to incorrect encoding or decoding. I tried to use the $zconvert function to convert it into the normal text but failed to do that. Can anybody suggest what I have to use to convert that into normal text?

Example: Garbled text that I am getting is "canââ¬â¢t , theyââ¬â¢re".

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Introduction to OMOP Platform

https://www.youtube.com/embed/5O9J-tRQZM8
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Motivation

I didn't know about ObjectScript until I started my new job. Objectscript isn't actually a young programming language. Compared to C++, Java and Python, the community isn't as active, but we're keen to make this place more vibrant, aren't we?

I've noticed that some of my colleagues are finding it tricky to get their heads around the class relationships in these huge projects. There aren't any easy-to-use modern class diagram tool for ObjectScript.

Related Work

I have tried relavant works:

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Article
· Feb 1, 2023 17m read
OpenAPI Suite - Part 1

Hi Community,

I would like to present my last package OpenAPI-Suite, this is a set of tools to generate ObjectScript code from an OpenAPI specification version 3.0. In short, these packages allow to:

  • Generate server-side class. It’s pretty similar to the generated code by ^%REST but the added value is the version 3.0 support.
  • Generate HTTP client classes.
  • Generate client production (business services, business operation, business process, Ens.Request, Ens.Response) classes.
  • A web interface to generate and download the code or generate and compile directly on the server.
  • Convert specification from version 1.x, 2.x to version 3.0.

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Migrating InterSystems IRIS and InterSystems IRIS for Health from on-premises to the cloud offers many advantages for Application Providers and Solution Providers. These advantages include simplified operations, access to flexible resources, and enhanced resilience. Companies no longer need to worry about the physical constraints and expenses associated with maintaining on-prem infrastructure, such as power and space requirements and expensive computer hardware.

One of the most compelling benefits is the ability to accelerate speed to market. By removing the burden of infrastructure maintenance, cloud environments enable faster development and deployment cycles, allowing businesses to respond quickly to market demands and opportunities. Operational costs are also lowered, because companies can scale resources up or down based on actual needs, leading to more efficient use of capital. Moreover, migrating to the cloud can contribute to a reduced carbon footprint by optimizing energy usage through shared cloud infrastructure.

Transitioning to the cloud may involve significant changes. Companies may benefit from a more operational focus, managing and optimizing cloud resources continuously. This shift may require changes to business models, reconsideration of margins, and strategies for scaling operations up or out. While requiring more investment, embracing these changes can lead to improved agility and competitive advantage in the marketplace.

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Introduction

Database performance has become a critical success factor in a modern application environment. Therefore identifying and optimizing the most resource-intensive SQL queries is essential for guaranteeing a smooth user experience and maintaining application stability.

This article will explore a quick approach to analyzing SQL query execution statistics on an InterSystems IRIS instance to identify areas for optimization within a macro-application.

Rather than focusing on real-time monitoring, we will set up a system that collects and analyzes statistics pre-calculated by IRIS once an hour. This approach, while not enabling instantaneous monitoring, offers an excellent compromise between the wealth of data available and the simplicity of implementation.

We will use Grafana for data visualization and analysis, InfluxDB for time series storage, and Telegraf for metrics collection. These tools, recognized for their power and flexibility, will allow us to obtain a clear and exploitable view.

More specifically, we will detail the configuration of Telegraf to retrieve statistics. We will also set up the integration with InfluxDB for data storage and analysis, and create customized dashboards in Grafana. This will help us quickly identify queries requiring special attention.

To facilitate the orchestration and deployment of these various components, we will employ Docker.

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I'm exploring this right now: given a bunch of types defined as Pydantic models, how can I come up with an equivalent %RegisteredObject/%SerialObject and convert to/from (e.g., to support persistence and match validation as much as possible)?

People who know Python better than I do (e.g., your average undergraduate from this decade): is this a stupid idea or a cool idea? Has anyone else done this before?

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