Hi Community,

Watch this short exercise in writing basic code snippets in InterSystems ObjectScript using Copilot in VSCode and the GPT-4.0 engine. This screencast covers "Hello, World," global manipulation, class creation, and building a simple REST API application.

>> Coding InterSystems ObjectScript with Copilot <<

🗣 Presenter: @Evgeny Shvarov, Senior Manager of Developer and Startup Programs, InterSystems

📌 The related code can be found here: objectscript-copilot-demo.

https://www.youtube.com/embed/CanxHvMZyLY
[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]

I am developing a business operation that receives a request, creates a message with the data contained in it and sends it to an outlook email. For testing purposes both the sender and the destination are the same email account
This is the code:

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

I'm experiencing an issue while compiling code in Visual Studio Code with "cuk" qualifiers.

When I try to compile, the following message appears after a while:

In VSC, the "cuk" qualifiers are always used as default and the following message is shown in the Output panel of VSC when a compilation is successful:

I am a volunteer at a nonprofit that is attempting to connect to a product that uses InterSystems Cache (Clinisys LIMS). I have not used this database before, but I have used many others (MS-SQL, Oracle, etc.). I am hoping IRIS is compatible enough with Cache for this project.

I downloaded IRIS. I learned about Terminal [IRIS]. Using it I was able to create a new table, insert data, and retrieve it. I also used the Management Portal to query the new table. It also returned the data.

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:

Hello!!!

Data migration often sounds like a simple "move data from A to B task" until you actually do it. In reality, it is a complex process that blends planning, validation, testing, and technical precision.

Over several projects where I handled data migration into a HIS which runs on IRIS (TrakCare), I realized that success comes from a mix of discipline and automation.

Here are a few points which I want to highlight.

1. Start with a Defined Data Format.

Before you even open your first file, make sure everyone, especially data providers, clearly understands the exact data format you expect. Defining templates early avoids unnecessary bank-and-forth and rework later.

While Excel or CSV formats are common, I personally feel using a tab-delimited text file (.txt) for data upload is best. It's lightweight, consistent, and avoids issues with commas inside text fields.

PatID   DOB Gender  AdmDate
10001   2000-01-02  M   2025-10-01
10002   1998-01-05  F   2025-10-05
10005   1980-08-23  M   2025-10-15

Make sure that the date formats given in the file is correct and constant throughout the file because all these files are usually converted from an Excel file and an Basic excel user might make mistakes while giving you the date formats wrong. Wrong date formats can irritate you while converting into horolog.

The task is to find all globals that are referenced in certain routines. I could search for ^ using class(%Studio.Project).FindInFiles but that would also find ^ in comments and function calls. I can distinguish between a global and a function call visually, but it would be lovely to be able to skip function calls programmatically. Is it possible?

When working with InterSystems IRIS, database developers and architects often face a critical decision: whether to use Dynamic SQL or Embedded SQL for querying and updating data. Both methods have their unique strengths and use cases, but understanding their performance implications is essential to making the right choice. Response time, a key metric in evaluating application performance, can vary significantly depending on the SQL approach used. Dynamic SQL offers flexibility, as queries can be constructed and executed at runtime, making it ideal for scenarios with unpredictable or highly variable query needs. Conversely, Embedded SQL emphasizes stability and efficiency by integrating SQL code directly into application logic, offering optimized response times for predefined query patterns.

In this article, I will explore the response times when using these two types of SQL and how they depend on different class structures and usage of parameters. So to do this, I'm going to use the following classes from the diagram:

I need to make changes to OBX 5 which shows as immutable

I have tried ConstructClone, ThrowOnError, and Streams but I can't get the syntax correct

Example

OBX|1|TX|2000.02^REASON FOR REQUEST^AS4|142|REASON FOR REQUEST: Total Cost: 0.00||||||O
^^^^ remove "REASON FOR REQUEST" ^^ add cr/lf so down stream reports can be formatted more easily

I need to create a JWT to connect to EPIC FHIRserver sandbox.

https://fhir.epic.com/Documentation?docId=oauth2&section=BackendOAuth2Guide

You will generate a one-time use JSON Web Token (JWT) to authenticate your app to the authorization server and obtain an access token that can be used to authenticate your app's web service calls. There are several libraries for creating JWTs. See jwt.io for some examples.

I have a new project to store information from REST responses into an IRIS database. I’ll need to sync information from at least two dozen separate REST endpoints, which means creating nearly that many ObjectScript classes to store the results from those endpoints.

Monitor incremental changes in the database through scheduled tasks, display change trends through charts, set alarm thresholds, and write information to messages.log

How to use it

You can install it through Docker or ZPM

Deploying with Docker Prerequisites

Make sure you have git and Docker desktop installed.