Hey everyone,

I'm diving deeper into Caché ObjectScript and would love to open a discussion around the most useful tips, tricks, and best practices you’ve learned or discovered while working with it.

Whether you're an experienced developer or just getting started, ObjectScript has its own set of quirks and powerful features—some well-documented, others hidden gems. I’m looking to compile a helpful set of ideas from the community.

Some areas I’m especially interested in:

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InterSystems Developer Community is a community of 26,002 amazing developers
We're a place where InterSystems IRIS programmers learn and share, stay up-to-date, grow together and have fun!
Learn more

If you want to know if a class about a topic already exists asking a simple natural language question, it is possible now. Download and run the application https://openexchange.intersystems.com/package/langchain-iris-tool to know all about your project classes in a Chat.

Open Exchange app
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Here are the technology bonuses for the InterSystems "Bringing Ideas to Reality" Contest 2025 that will give you extra points in the voting:

  • Developer Experience Idea implemented - 4
  • IRIS Vector Search usage -3
  • Embedded Python usage -3
  • InterSystems Interoperability - 3
  • InterSystems IRIS BI - 3
  • VSCode Plugin - 3
  • FHIR Tools - 3
  • Docker container usage -2
  • ZPM Package Deployment - 2
  • Online Demo -2
  • Find and report a bug - 2
  • Article on Developer Community - 2
  • The second article on Developer Community - 1
  • Video on YouTube - 3
  • YouTube Short - 1
  • First Time Contribution - 3

See the details below.<--break->

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We are receiving an ORU message and the vendor is requesting that we append a new OBX segment at the end of the message and I wanted to reach out to see what options might be available.

So far, I tried the append action in the DTL editor with a single OBX-3 field but it seems to be appending to the field directly instead of creating a new OBX. I've started looking into if whether I could use a function but wanted to first check with the experts on the Discussion here in case there's an easier way to accomplish this. Thank you.

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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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  1. I like the Application Error Log functionality a lot. However, it becomes time consuming to inspect it date by date and directory by directory on a multidirectory server. Ideally, I would use an existing error class to write a custom error report by date, selected namespaces, etc. Does such a system class actually exist? Not that I found. The detail level on the screenshot below is enough.
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#InterSystems Demo Games entry

⏯️ Eliminating Waste in Healthcare Supply Chains

Between recalled supplies, expired inventory, and rogue spending, an estimated $25 billion per year goes to waste in healthcare supply chains. We know how critical supply chain is in healthcare, so we know this is a problem worth solving! What could a proposed solution look like? Watch and find out!

Presenters:
🗣 @Georgia Gans, Sales Engineer, InterSystems
🗣 @Annie Tong, Sales Engineer, InterSystems
🗣 @Boris Mamkin, Senior Sales Engineer, InterSystems

https://www.youtube.com/embed/NOgKJ09k5O8
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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Been testing out the Production Validator toolkit, just to see what we can/not do with it. Seems really interesting and there seem to be some use cases for it that can really streamline some upgrades (or at least parts of upgrades) but I was running into so many hurdles with the documentation. I am curious if anyone else has used it.

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InterSystems is pleased to announce the General Availability (GA) of the 2025.2 release of InterSystems IRIS® data platform. This is a Continuous Delivery (CD) release. Please note that the GA versions of InterSystems IRIS for Health™ and HealthShare® Health Connect™ 2025.2 are currently withheld due to mirroring limitations introduced by security updates (details below).

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Faced with the enormous and evergrowing amounts of data being generated in the world today, software architects need to pay special attention to the scalability of their solutions. They must also design systems that can, when needed, handle many thousands of concurrent users. It’s not easy, but designing for massive scalability is an absolute necessity.

A workload averaging 1000 1-kilobyte queries per second is compared with another involving 10 1-terabyte queries per hour

Software architects have several options for designing scalable systems. They can scale vertically by using bigger machines with dozens of cores. They can use data distribution (replication) techniques to scale horizontally for increasing numbers of users. And they can scale data volume horizontally through the use of a data partitioning strategy. In practice, software architects will employ several of these techniques, trading off hardware costs, code complexity, and ease of deployment to suit their particular needs.

This article will discuss how InterSystems IRIS Data Platform supports vertical scalability and horizontal scalability of both user and data volumes. It will outline several options for distributing and partitioning data and/or user volume, giving scenarios in which each option would be particularly useful. Finally, this paper will talk about how InterSystems IRIS helps simplify the configuration and provisioning of distributed systems.

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Background

For a variety of reasons, users may wish to mount a persistent volume on two or more pods spanning multiple availability zones. One such use case is to make data stored outside of IRIS available to both mirror members in case of failover.

Unfortunately the built-in storage classes in most Kubernetes implementations (whether cloud or on-prem) do not provide this capability:

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SQL injection remains one of the most critical vulnerabilities in database-driven applications, allowing attackers to manipulate queries and potentially access or compromise sensitive data. In InterSystems IRIS, developers have access to both Dynamic SQL and Embedded SQL, each with distinct characteristics. Understanding how to use them securely is essential for preventing SQL injection.

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Question
· Apr 25, 2025
Setting Python

Hi Guys,

I'm a newbie running IRIS in a container (IRIS for UNIX (Ubuntu Server LTS for x86-64 Containers) 2024.3 (Build 217U) Thu Nov 14 2024 17:30:43 EST) and trying to setup Python so I can start working on ML & Autosklearn,my understanding is that IRIS already comes with embedded Python but unable to do something like "import pandas as pd" in VSCode which looks like I need install a more complete version of Python or packages, so what I'm missing?

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Hi Community!

I'm super excited to be your on-the-ground reporter for the biggest developer event of the year - InterSystems Ready 2025!

As you may know from previous years, our global summits are always exciting, exhilarating, and packed with valuable knowledge, innovative ideas, and exciting news from InterSystems. This year is no different. But let's not get ahead of ourselves and start from the beginning.

Pre-summit day was, as usual, filled with fun and educational experiences. Those who enjoy playing golf (I among them) got up at the crack of dawn to tee off before the sun got too high up. Here's our dream team in action:

@sween, @Mark Bolinsky, @Anzelem Sanyatwe, @Iryna Mykhailova

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Hi Community,

We're pleased to invite you to the upcoming webinar in Hebrew:

👉 Hebrew Webinar: GenAI + RAG - Leveraging Intersystems IRIS as your Vector DB👈

📅 Date & time: February 26th, 3:00 PM IDT

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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:

Open Exchange app
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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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Is there any way of saving a representation of the results of a query created in the Message Viewer to a file - most obviously CSV.

We are reasonably adept at creating queries. We'd like to be able to send the output to a file, rather than resorting to cut'n'pasting from the message viewer window...

Is this possible? (on any version of Ensemble/Iris?)

Desired output to file something like:

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Hey Community,

Great news for all those of you who have missed the Super Early Bird discount for the InterSystems READY 2025! You still have a chance to get an Early bird discount up until 26th of May! So don't miss you chance to participate in the event of the year.

➡️ InterSystems Ready 2025

🗓 Dates: June 22-25, 2025

📍 Location: Signia Hilton Bonnet Creek, Orlando, FL, USA

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