#InterSystems IRIS

UPDATE: Developer Preview 7 has been released.

Update 7 includes a number of stability improvements over previous updates and support for support for all of the planned 2022.1 features. If you notice any problems at all, now's the time to let us know. The docker pull commands below have been updated with the latest build numbers. Enjoy!

Developer Preview releases are now available for the 2022.1 version of InterSystems IRIS, IRIS for Health, and HealthShare Health Connect.

As this is InterSystems' first developer preview release, let's take a moment to describe what these are. The developer preview program enhances the previous IRIS preview program with approximately bi-weekly releases that add features as they are ready. This allows us to get feedback on capabilities and enhancements as they're available. You'll see below a list of enhancements that are targeted for 2022.1, which are not included in the first developer preview. Look for those over the coming weeks.

We are eager to learn from your experiences with this new release ahead of its General Availability release. Please share your feedback through the Developer Community so we can build a better product together.

InterSystems IRIS Data Platform 2022.1 is an extended maintenance (EM) release. 2022.1 includes the many important new capabilities and enhancements have been added in 2021.2, the continuous delivery (CD) release, since 2021.1, the previous EM release. Please refer to the release notes for 2021.2 for an overview of these enhancements.

InterSystems FAQ rubric

A tool (^GLOBUFF utility) is available to check the database cache usage for each global variable.

You can run the utility directly or programmatically in the %SYS namespace.

Here's how to run the utility directly:

Hi fellows,

I'm glad in annouce that now I'm certified:

https://www.youracclaim.com/badges/30f9d00f-82a3-45ab-a879-b83a7053f00d/...

Hi colleagues!

Often when we collaborate to someone's repo in GitHub we do the following cycle:

Fork-Clone-Change-Commit-Push-Pull-Request-Merge to the original repo.

This is all great and works fine!

And if we want to make a second collaboration right after the merge you need to perform "Fetch upstream" to your forked repo first to "ingest" your own Pull-request in the original repo.

Geeky git-professionals do it with ease but this was always a headache for me so I usually simply deleted the fork and created a new one.

And today I figured that Github added a new UI feature that I can easily fetch-upstream for my fork with the original one and make it up to date and capable for pull-requests.

Here is where the button is:

This is a relief! )

Wanted to share this relief and productivity tip with you!

Bring more collaborations to Github repos!

And speaking of PR - I just made a PR with docker to Google Cloud Run deployment for the FHIRaaS demo made by @Anton Umnikov for the current FHIR Contest! Looking for more of your contributions!

A quine is a computer program which takes no input and produces a copy of its own source code as its only output.

Wikipedia.

How about a fun challenge?

The task is to write a quine in InterSystems ObjectScript. It can be a class, or a method, or a routine, or just a line to be executed in a terminal. You decide!

Here's some resources you might consider useful:

• $TEXT
• XECUTE
• $XECUTE
• %Compiler.UDL.TextServices:GetTextAsString
• %Dictionary package
• Indirection

Hard mode: do not use source code access functions.

Here's my (extremely uninspired, I know) attempt:

Class User.Quine
{

/// do ##class(User.Quine).Test()
ClassMethod Test()
{
    set sc = ##class(%Compiler.UDL.TextServices).GetTextAsString($namespace, $classname(), .str)
    write str
}

}

It produces this output:

How many different ways of producing a quine are there in ObjectScript?

Modern businesses need new kinds of applications — ones that are smarter, faster, and can scale more quickly and cost-effectively to accommodate larger data sets, greater workloads, and more users.

With this in mind, we have unveiled InterSystems IRIS Data Platform™, a complete, unified solution that provides a comprehensive and consistent set of capabilities spanning data management, interoperability, transaction processing, and analytics. It redefines high performance for application developers, systems integrators, and end-user organizations who develop and deploy data-rich and mission-critical solutions.

​

As most of you probably already know, since approximately the end of 2022 InterSystems IRIS included the columnar storage functionality to its database, well, in today's article we are going to put it to the test in comparison to the usual row storage.

Preview releases are now available for InterSystems IRIS Advanced Analytics, and InterSystems IRIS for Health Advanced Analytics! The Advanced Analytics add-on for InterSystems IRIS introduces IntegratedML as a key new feature.

Introduction

This is a simple tutorial on the quickest way I found to create a sample database for any purposes such as testing, making samples for tutorials, etc.

Creating a namespace

1. Open the terminal
2. Write the command "D $SYSTEM.SQL.Shell()"
3. Write "CREATE DATABASE " and the name you want for your namespace.

Now you have a new namespace in a faster way than creating it from the Management Portal - which of course offers way more configuration options.

We now get to make use of the IKO.

Below we define the environment we will be creating via a Custom Resource Definition (CRD). It lets us define something outside the realm of what the Kubernetes standard knows (this is objects such as your pods, services, persistent volumes (and claims), configmaps, secrets, and lots more). We are building a new kind of object, an IrisCluster object.

Introduction

As the health interoperability landscape expands to include data exchange across on-premise as well as hosted solutions, we are seeing an increased need to integrate with services such as cloud storage. One of the most prolifically used and well supported tools is the NoSQL database DynamoDB (Dynamo), provided by Amazon Web Services (AWS).

The demo is based on the raw class descriptions.
The data classes used are Address, Person, Employee, Company
For a more attractive demo, a JSONtoString method by ID was added.

Hi Community!

Do you usually work with automated tasks? Then let me share with you a pair of tips ;-)

Tip 1: How to know when my automated task will end (approximately)

In Cache for Windows (x86-64) 2018.1.3 (Build 414U) I found something very useful