Hi community!

I am excited to say that since the beginning of this year we have published many of the client SDKs for InterSystems IRIS, InterSystems IRIS for Health and Health Connect to the corresponding external repositories (Maven, NuGet, npm and PyPI). This provides many benefits to you such as:

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Over time, while I was working with Interoperability on the IRIS Data Platform, I developed rules for organizing a project code into packages and classes. That is what is called a Naming Convention, usually. In this topic, I want to organize and share these rules. I hope it can be helpful for somebody.

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Environment:
Targeted *.inc file (with hundreds of defined macros) is in use throughout the application and included into every class declaration.
Statement "set a = $$$TestIf(3)" is included into a classmethod with no other code in. Expected output 5
Same macro options in *.inc:
#define TestIf(%arr) if %arr>0 QUIT 5
#define TestIf(%arr) if (%arr>0) {QUIT 5}
Issue:
failure to compile class with the same error on all tried definition options as:

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Window functions in InterSystems IRIS let you perform powerful analytics — like running totals, rankings, and moving averages — directly in SQL.
They operate over a "window" of rows related to the current row, without collapsing results like GROUP BY.
This means you can write cleaner, faster, and more maintainable queries — no loops, no joins, no temp tables.

In this article let's understand the mechanics of window functions by addressing some common data analisys tasks.

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Over the past several years, the InterSystems Developer Community has accumulated more than 1,000 open-source projects. Many of them serve as examples and learning materials — but a significant number have become useful tools, libraries, integrations, and real-world components used in production.

Some of these projects are mine, and like many community developers, I’ve seen the same recurring problem:

  • It’s easy to create an open-source project.
  • It’s hard to maintain, support, and develop it sustainably — especially without funding.

Writing code is one thing.
Supporting it for years, keeping up with new IRIS versions, building CI pipelines, writing documentation, fixing issues, reviewing PRs — all of this demands both time and motivation, and the biggest motivator is often financial support.

This is not a new challenge.
The global open-source world has faced this for decades and has developed various models to support OSS ecosystems.

I believe it’s time for the InterSystems community to start a discussion about adopting a similar model.

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The most upvoted idea on the InterSystems Ideas Portal—garnering 74 votes—requests a lightweight version of IRIS. While the platform has grown into a powerful data engine, many projects require only its SQL database capabilities. This article demonstrates how to build an unofficial, compact IRIS Community Edition image focused solely on core database functionality, reducing the image size by over 80%.

⚠️ Disclaimer

This project produces an unofficial, experimental image of InterSystems IRIS Community Edition.

  • Not supported or endorsed by InterSystems.
  • Use at your own risk. The modifications remove core platform features and may break compatibility with tools, APIs, and expected behaviors.
  • No warranties or guarantees apply, including fitness for production use.
  • Intended only for educational and experimental purposes by advanced users.

Why a Lightweight IRIS?

While IRIS today includes rich functionality—interoperability, analytics, machine learning, system management, etc.—many projects only require its core SQL capabilities. The official Community Edition Docker image is approximately:

  • Disk usage: 3.5–3.8 GB
  • Compressed size: ~1.1 GB

IRIS Light reduces that to:

  • Disk usage: ~575–583 MB
  • Compressed size: ~144–148 MB

This makes it suitable for:

  • Microservice or containerized SQL use
  • CI pipelines with faster startup and pull
  • Horizontal scaling where full features are unnecessary

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The 2025.3 release of InterSystems IRIS® data platform, InterSystems IRIS® for Health, and HealthShare® Health Connect is now Generally Available (GA). This is a Continuous Delivery (CD) release.

Release Highlights:

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Modern data architectures utilize real-time data capture, transformation, movement, and loading solutions to build data lakes, analytical warehouses, and big data repositories. It enables the analysis of data from various sources without impacting the operations that use them. To achieve this, establishing a continuous, scalable, elastic, and robust data flow is essential. The most prevalent method for that is through the CDC (Change Data Capture) technique. CDC monitors for small data set production, automatically captures this data, and delivers it to one or more recipients, including analytical data repositories. The major benefit is the elimination of the D+1 delay in analysis, as data is detected at the source as soon as it is produced, and later is replicated to the destination.

This article will demonstrate the two most common data sources for CDC scenarios, both as a source and a destination. For the data source (origin), we will explore the CDC in SQL databases and CSV files. For the data destination, we will use a columnar database (a typical high-performance analytical database scenario) and a Kafka topic (a standard approach for streaming data to the cloud and/or to multiple real-time data consumers).

Overview

This article will provide a sample for the following interoperability scenario:

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

Using SerenityGPT to Build Out an Application GenAI Middleware at InterSystems @ Ready 2025

https://www.youtube.com/embed/ZXULSWMmOD0
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Hello

I'm using from visual code. My routines are server-side files. If I try to search patterns in files (e.g find all routines containing the string "version=3") , the search runs but didn't find anything. If I do the same search from the management portal, it finds all routines including this pattern with a good performance.

regards Matthias

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When I started my journey with InterSystems IRIS, especially in Interoperability, one of the initial and common questions I had was: how can I run something on an interval or schedule? In this topic, I want to share two simple classes that address this issue. I'm surprised that some similar classes are not located somewhere in EnsLib. Or maybe I didn't search well? Anyway, this topic is not meant to be complex work, just a couple of snippets for beginners.

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

Analytics and AI with InterSystems IRIS - From Zero to Hero @ Ready 2025

https://www.youtube.com/embed/-oswnejrNSA?si=4vC-wkrPaoZIm-1i
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In some cases, it's necessary to manipulate data from one namespace to another. For example, a routine in the "N1" namespace needs data from the "N2" namespace. In legacy systems (using only globals), it's common to make the global universal, but what about persistent classes? Is this type of globalization also possible?

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Overview

This release introduces the FHIR Server 2025.10.0, delivering the latest standards compliance and performance improvements. It also enhances the Health Connect Cloud (HCC)upgrade process for greater reliability and adds new flexibility to Network Connect through prefix list support in VPN configurations.


New Features and Enhancements

Category

Feature / Improvement

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InterSystems FAQ rubric

When exporting using the Export() method of the %Library.Global class, if the export format (fourth argument: OutputFormat) is set to 7, "Block format/Caché block format (%GOF)," mapped globals cannot be exported (only globals in the default global database of the namespace are exported). To export mapped globals in "Block format/Caché block format (%GOF)," specify the database directory to which you want to map them in the first parameter of %Library.Global.Export().

An example of execution is shown below.

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Hi,

We very much appreciate the interest in the Developer Community for IRIS Vector Search and hope our technology has helped many of you build innovative applications or advanced your R&D efforts. With a dedicated index, integrated embeddings generation, and deep integration with our SQL engine now available in InterSystems IRIS, we're looking at the next frontier, and would love to hear your feedback on the technology to prioritize our investments.

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