We’re excited to announce the first mini hackathon “Building AI Agents with InterSystems”, taking place on a pre-conference day as part of InterSystems READY 2026.

In this hands-on challenge, participants will design and build AI agents using upcoming InterSystems capabilities, exploring how intelligent automation, orchestration, and reasoning can be applied to practical use cases.

📅 Event date: 27 April 2026
📍 Location: Gaylord National Resort & Convention Center, National Harbor, Maryland
🔗 Learn more here: Building AI Agents with InterSystems mini-hackathon at InterSystems READY 2026

Needs some help with FHIR return code 200 or 201 when processing HL7 messages in HealthConnect.

Issue:

1. If FHIR code is 200 or 201, HealthConnect keep processing HL7 messages

2. If FHIR code is NOT 200 or 201, HealthConnect keep suspend the HL7 messages in the messages queue, then keep processing NEXT subsequent HL7 messages in the TEXT file if the FHIR code is 200 or 201

Where can I download the Cache ODBC drivers?

Where can I download the Cache ODBC drivers for Windows?

I need to connect to a cache database by odbc but the FPTs that I have found do not work,
could you tell me where to download the ODBC drivers

I like to install Cache Evaluation version for learning purpose. Could you please share the download link to install it? I appreciate any help you all provide. Thanks.

Why do these clauses affect SQL performance?

select ID from some_table where row_status in ('I','U') order by ID limit 5 - makes the query infinite
select top 10 ID from some_table where row_status in ('I','U') order by ID - the same
select ID from some_table where row_status in ('I','U') order by ID - is fast

Actually there are no rows in the table having row_status 'I' or 'U'.

I asked Gemini and it recommended me rewrite the query as

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.

RabbitMQ is a message broker that allows producers (those who send a data message) and consumers (those who receive a data message) to establish asynchronous, real-time, and high-performance massive data flows. RabbitMQ supports AMQP (Advanced Message Queuing Protocol), an open standard application layer protocol.
The main reasons to employ RabbitMQ include the following:

• You can improve the performance of the applications using an asynchronous approach.
• It lets you decouple and reduce dependencies between services, microservices, and applications with the help of a data message mediator, meaning that there is no need for producers and consumers of exchanged data to know each other.
• It allows the long-running processing of sent data (with the results) to be delivered after utilizing a response queue.
• It helps you migrate from monolithic to microservices, where microservices exchange data via Rabbit in a decoupled and asynchronous way.
• It offers reliability and resilience by making it possible for messages to be stored and forwarded. A message can be delivered multiple times until it is processed.
• Message queueing is the key to scaling your application. As the workload increases, you will only have to add more workers to handle the queues faster.
• It works well with data streaming applications.
• It is beneficial for IoT applications.
• It is a must for Bots’ communication.

We are hiring! 100% Remote W2 Contract | 3-6+ Months (numerous extensions likely)

Two Roles:
🔹InterSystems Engineer
🔹Epic Bridges Certified/InterSystems Engineer

Having solid experience with the below:

There are numerous excellent tools available for testing your REST APIs, especially when they are live. Postman, various web browser extensions, and even custom ObjectScript written with %Net.HttpRequest objects can get the job done. However, it is often difficult to test just the REST API without inadvertently involving the authentication scheme, the web application configuration, or even network connectivity. Those are a lot of hoops to jump through just to test the code within your dispatch class. The good news is that if we take our time to understand the inner workings of the %CSP.REST class, we will find an alternative option suited for testing only the contents of the dispatch class. We can set up the request and response objects to invoke the methods directly.

Sometimes customers need a small IRIS instance to do something in the cloud and shut it down, or they need hundreds of containers (i.e. one per end user or one per interface) with small workloads. This exercise came about to see how small an IRIS instance could be. For this exercise we focused on what is the smallest amount of memory we can configure for an IRIS instance. Do you know all the parameters that affect the memory allocated by IRIS ?

Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Innovations in FHIR Data Management@ Ready 2025

https://www.youtube.com/embed/Q5CrlqcJAkA
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If one of your packages on OEX receives a review, you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I have a Postgres table which should be migrated to IRIS. The table has a computed column, like:

CREATE TABLE example_table (
    id VARCHAR(10) PRIMARY KEY,
    normalized_id VARCHAR(10) GENERATED ALWAYS AS (LPAD(id, 10, '0')) STORED
);

IRIS also has the LPAD function but I can't figure out how to achieve the same result using pure SQL DDL.

Tried this:

Hi developers!

There is a very neat variable in IPM ${ipmdir} that lets packages be installed on a particular IRIS server and ensures that the data and resources they bring don't mess around as ${ipmdir} variable during the installation transforms into:

iris installation dir/ipm/package_name/version/whatever_you_install_here

It is very convenient, e.g., to bring some data and resource files that can be useful during the installation setup, e.g., via FILECOPY. Indeed, suppose you bring some csv_file, e.g. titanic.csv via FILECOPY as:

<FileCopy Name="data/titanic.csv" Target="${ipmdir}data/titanic.csv"/>

or even the whole folder of data in the source code repo into the package:

<FileCopy Name="data/" Target="${ipmdir}data/"/>

And in the case of Iris in Docker it resides in:

/usr/irissys/ipm/package_name/1.0.0/data/titanic.csv

This is all great, but is there any way for the installed code to determine the location of the data files? It'd be neat to let the installed app know somehow where is the data that came with it? Could it be the method in the IPM client that will resolve ${ipmdir} for the app?