If you thought native Go support for IRIS was exciting, wait until you see what happens when GORM enters the mix.

Just recently, we welcomed native GoLang support for InterSystems IRIS with the release of go-irisnative. That was just the beginning. Now, we’re kicking things up a notch with the launch of gorm-iris — a GORM driver designed to bring the power of Object Relational Mapping (ORM) to your IRIS + Go stack.

Why GORM?

GORM is one of the most popular ORM libraries in the Go ecosystem. It makes it easy to interact with databases using Go structs instead of writing raw SQL. With features like auto migrations, associations, and query building, GORM simplifies backend development significantly.

So naturally, the next step after enabling Go to talk natively with IRIS was to make GORM work seamlessly with it. That’s exactly what gorm-iris does.

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InterSystems Developer Community is a community of 25,632 amazing developers
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🚨 Update, January 21, 2025 – Maintenance Completed 🚨

The planned maintenance on the Developer Community has been successfully completed! While the site is up and running, we are still performing additional testing, so occasional issues may occur.

We apologize for any inconvenience and greatly appreciate your patience. If you notice anything unusual, please don’t hesitate to let us know.

Thank you for your understanding and support!

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Hello everyone! This is my first post into the developer community and one that I hope is fairly simple to answer. In our environment we currently have 3 different Test environments for testing before migrating code to our Prod environment. Currently we are working on establishing a source control method using Git in house which has been a bit of a struggle. We have also had developers that had used different test and migration methods in the past which has caused some issues with keeping the different test environment in sync.

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What are best practices for JSON transformation in IRIS interoperability? This is for a non-healthcare use case, so any tools we happen to have around FHIR might not be available. The motivating use case is trimming down a verbose and needlessly complex REST API response to feed to an LLM - trying to reduce token usage and maybe get better results from less noisy data.

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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.

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Hello,

Our software commonly returns a full result set to the client and we use the DataTables plugin to display table data. This has worked well, but at datasets grow larger, we are trying to move some of these requests server-side so the server handles the bulk of the work rather than the client. This has had me scratching my head in so many ways.

I'm hoping I can get a mix of general best practice advice but also maybe some IRIS specific ideas.

Some background

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This article shares analysis in solution cycle for the Open Exchange application TOOT ( Open Exchange application )

The hypothesis

A button on a web page can capture the users voice. IRIS integration could manipulate the recordings to extract semantic meaning that IRIS vector search can then offer for new types of AI solution opportunity.

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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.

Dynamic Objects

Dynamic Objects are very similar to the standard ObjectScript object model you get when you create a new instance of a class object, but with some key differences:

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I have VS Code with extensions connected to IRIS for Health. One top-level ObjectScript package is not displayed in the workspace for this namespace. This package exists in the namespace and is visible in SMP. If I create a new class with a different top-level package name (package that didn't previously exist) it will immediately appear in the workspace.

Is there any debug logging I can enable to look for errors or do any other troubleshooting?

Forgot to mention: the missing package is custom, not a system package.

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InterSystems has corrected a defect that causes invalid database and journal records to be introduced when using a specific $LIST syntax. The likelihood of encountering this defect is very low but the operational impacts can be significant.

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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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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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Hi, I am unsure how to remove this restriction; when I am performing dynamic SQL using ##class(%SQL.Statement).%ExecDirectNoPriv(, .query, args...)

It works fine, but the moment I add specific properties from the persistent class I am performing the select on into the WHERE clause, I get: ERROR #5540: SQLCODE: -99 Message: User UnknownUser is not privileged for the operation. Despite using %ExecDirectNoPriv, I've tried with prepared statement as well, exact same situation.

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Article
· May 2, 2025 3m read
Minify XML in IRIS

In a project I'm working on we need to store some arbitrary XML in the database. This XML does not have any corresponding class in IRIS, we just need to store it as a string (it's relatively small and can fit in a string).
Since there are MANY (millions!) of records in the database I decided to reduce as much as possible the size without compressing. I know that some XML to be stored is indented, some not, it varies.

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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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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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Hi Community,

We're excited to invite you to the webinar Configuring a Web Server for use with InterSystems IRIS.

Join this webinar for an engaging and insightful tech talk on the configuration of a web server to use with InterSystems IRIS.

⏱ Date & Time: Thursday, February 27, 10:30 AM GMT

👨‍🏫 Speaker: @Steve Mallam, HealthShare Team Lead, InterSystems UK&I

2025 Tech Talk Social Tile 27 Feb

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At the moment we're creating multiple BPLs are using a router (or another BPL) to direct to these based on a unique key modulo the amount of BPLs available, e.g. if we have 3 BPLs created.

Message key = 1 mod 3 + 1 -> BPL02
Message key = 2 mod 3 + 1 -> BPL03
Message key = 3 mod 3 + 1 -> BPL01

FIFO only matters in that each messages for each key is processed in order.

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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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For my hundredth article on the Developer Community, I wanted to present something practical, so here's a comprehensive implementation of the GPG Interoperability Adapter for InterSystems IRIS.

Every so often, I would encounter a request for some GPG support, so I had several code samples written for a while, and I thought to combine all of them and add missing GPG functionality for a fairly complete coverage. That said, this Business Operation primarily covers data actions, skipping management actions such as key generation, export, and retrieval as they are usually one-off and performed manually anyways. However, this implementation does support key imports for obvious reasons. Well, let's get into it.

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Visual Studio Code releases new updates every month with new features and bug fixes, and the February 2025 release is now available.

There have been enhancements to GitHub Copilot with predictive editing, autonomous task completion, smarter code search, improved terminal and notebook support, and UI and workflow refinements.

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