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We recently changed the 'UserID" property in a "User" class from type of %String to be %Library.Username. This is for better consistency across our codebase regarding MAXLEN limit.

%Library.Username is a system wrapper datatype which extends %String and has a MAXLEN of 160. This change should have minimal/no impact on code behavior. However, we found that some SQL query cannot return expected rows after the change. Query will return empty values even if the entry is in the table.

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Our goal on the Developer Community is to foster a high-quality, trustworthy, and original body of technical content created by and for developers. While AI tools like ChatGPT can be helpful in the writing process, we expect all published content to reflect authentic expertise and personal understanding. If you have any questions or wish to discuss your coding problem with an AI, consider using our Developer Community AI chat.

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Hi Community!

We’re excited to announce that several winners of the InterSystems AI Programming Contest have been invited to showcase their projects at the Tech Exchange during InterSystems Ready 2025!

Join us on Wednesday, June 25, to explore innovative, real-world solutions built with InterSystems IRIS, AI, LLMs, and intelligent agent technologies — directly from the developers who created them:

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When using standard SQL or the object layer in InterSystems IRIS, metadata consistency is usually maintained through built-in validation and type enforcement. However, legacy systems that bypass these layers—directly accessing globals—can introduce subtle and serious inconsistencies.

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Hello InterSystems EHR community,

InterSystems Certification is currently developing a certification exam for InterSystems EHR Reports specialists, and if you match the exam candidate description given below, we would like you to beta test the exam! The exam will be available for beta testing starting June 30, 2025.

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Hi all,

Let's do some more work about the testing data generation and export the result by REST API.😁

Here, I would like to reuse the datagen.restservice class which built in the pervious article Writing a REST api service for exporting the generated patient data in .csv

This time, we are planning to generate a FHIR bundle include multiple resources for testing the FHIR repository.

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In this article I'll show you how to set up in your laptop, very quickly, a cluster of IRIS nodes in sharding. It's not the goal of this article neither to talk about sharding in detail nor define a deployment of a production ready architecture, but to show how to set up quickly, in your own machine, a cluster of IRIS instances configured as shard nodes, with which you'll able to play and test this functionality. If you're insterested in knowing more about sharding in IRIS, take a look at the documentation clicking here.

First and foremost, I want to remark that IRIS sharding will allow us 2 things:

  • Define, load and query shard tables, which data will be distributed transparently between the cluster's nodes
  • Define federated tables, which offer a global and composed view of data belonging to different tables that will be physically stored in different distributed nodes

So, as I said, we let for other article playing with shard or federated tables, and just focus now in the previous step, that is, setting up the cluster of shard nodes.

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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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Article
· Sep 4, 2025 4m read
IRIS in Docker for beginners

The article was motivated by the 2025 September Article Bounty
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The principle of Docker is just convincing to me.

  • Get a sandbox where you play and try whatever you want/need to do
  • Once done. You drop it without leaving traces in your working environment

This was the technical base for me to run about 700 reviews in OEX
with almost no side effects (except those caused by myself).

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Hi Community,

In the first part of this series, we examined the fundamentals of Interoperability on Python (IoP), specifically how it enables us to construct such interoperability elements as business services, processes, and operations using pure Python.

Now, we are ready to take things a step further. Real-world integration scenarios extend beyond simple message handoffs.They involve scheduled polling, custom message structures, decision logic, filtering, and configuration handling.In this article, we will delve into these more advanced IoP capabilities and demonstrate how to create and run a more complex interoperability flow using only Python.

To make it practical, we will build a comprehensive example: The Reddit Post Analyzer Production. The concept is straightforward: continuously retrieving the latest submissions from a chosen subreddit, filtering them based on popularity, adding extra tags to them, and sending them off for storage or further analysis.

The ultimate goal here is a reliable, self-running data ingestion pipeline. All major parts (the Business Service, Business Process, and Business Operation) are implemented in Python, showcasing how to use IoP as a Python-first integration methodology.

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Hey Community! New rewards have arrived on Global Masters 🎁

With our July update, we’ve added some fresh new options for you to choose from! The rewards catalog is now packed with even more exciting ways to exchange your points for something truly useful, , and well-deserved If you’ve been saving up your points, now’s the perfect time to treat yourself!



➡️ Enter Global Masters to check out available prizes*.

🧩 Want to learn how to earn points faster? You can find tips and guidance here

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As applications grow, every database eventually hits scaling limits. Whether it's storage capacity, concurrent users, query throughput, or I/O bandwidth, single-server architectures have inherent constraints. This guide explains fundamental approaches to database scalability and shows how InterSystems IRIS implements these patterns to support enterprise-scale workloads.

We'll explore two complementary scaling strategies: horizontal scaling for user volume (distributing computational load) and sharding for data volume (partitioning datasets). Understanding the general principles behind these approaches will help you make informed decisions about when and how to scale your IRIS applications.

The examples in this guide use InterSystems IRIS in Docker containers.

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We are receiving the report in text format and it has special characters like ', - like that in the text. Source system is using the UTF8 encoding format hence the text is showing as ' � ' . Is there a way to convert the utf8 to actual character in the DTL.

Thank you,

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Article
· Jul 11, 2025 7m read
Metabase IRIS Driver

Hi InterSystems Community! I'm Sidd one of the interns at the Singapore office and I recently had the chance to develop to develop a driver to connect IRIS to Metabase to help some of the Sales Engineers here. I was encouraged to share it here so that if any others have a similar issue they can use the driver and as well as get some feedback on potential improvements. The full GitHub repo with the quick start step, brief overview and the driver building process can be found here.

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