Article
· Jul 20, 2020 1m read
IRIS NativeAPI for Node.js compact

An all-in-1 package of the WebSocket MicroService Demo

To simplify the demo of the WebSocket-Micro-Server (WSockClientMicroSV)
the whole package is now bundled into a single Docker Image

How to use it

From the same terminal start the IRIS based client and prepare your orders

  docker-compose exec iris iris session iris %ZSocket

on WebTerminal it is simply

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Is anyone like me, and felt really jealous that they didn't have enough points to acquire the IRIS-based Raspberry Pi system when it was offered? Do you have a spare Raspberry Pi 4 handy? If so, I'll walk you through setting up Docker and IRIS on your Raspberry Pi so you can have the smallest IRIS computer in town!

Things you'll need:

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Sometimes we need to convert FHIR message to HL7 V2, e.g. to register a patient to the PACS system.
In this article, I will explain the steps to achieve the desired by using IRIS FHIR Server production.

Below are the steps we need to follow:

  1. Make sure FHIRServer production is started.
  2. Register Business Service with FHIRServer endpoint.
  3. Define Business Processes to convert FHIR message to SDA and then Convert SDA to HL7 v2.
  4. Post JSON resource to FHIRServer endpoint and get HL7 V2 response.

Let's review the steps in detail.

Step 1. Make sure FHIRServer production is started

Open the production page and make sure Production is started. In the next step, we need to make sure business service HS.FHIRServer.Interop.Service is registered with FHIRServer

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Those of you who are following the FullStack competition here in the Developer Community will know that I submitted an entry named qewd-conduit. I wanted to summarise why I think it's something worth you taking a bit of time to check out.

qewd-conduit uses the Node.js-based QEWD framework alongside IRIS to implement the back-end REST APIs for something known as the RealWorld Conduit application:

https://github.com/gothinkster/realworld

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This is the third part of the series of articles on migrating from the main databases on the market to InterSystems IRIS. In this part, the procedures for migrating from DB2 will be detailed.As described in previous articles, there are currently a few options to do the migration. However, the two most popular options include the usage of DBeaver (https://openexchange.intersystems.com/package/DBeaver) or SQLGateway.

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We resume our series of articles on the FHIR Adapter tool available to HealthShare HealthConnect and InterSystems IRIS users.

In the previous articles we have presented the small application on which we set up our workshop and showed the architecture deployed in our IRIS instance after installing the FHIR Adapter. In today's article we will see an example of how we can perform one of the most common CRUD (Create - Read - Update - Delete) operations, the reading operation, and we will do it by recovering a Resource.

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Article
· Jun 13, 2024 4m read
How to check the size of your data

InterSystems FAQ rubric

Data for InterSystems products (table row data, object instance data) is stored in global variables.
The data size of each global can be obtained by clicking the properties of the global you want to view from the Management Portal > System > Configuration > Local Database > Globals page, and then clicking the Calculate Size button on the Global Attributes page that appears.
To display the data sizes of globals in a namespace, you can call ^%GSIZE utility on the terminal.

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Article
· Feb 17, 2023 2m read
Returning values with python

Why am I writting this?

Last year I made an article for starters on using embedded python. Later, it started a little discussion on how to return values with python and I found some interesting observations that are worth writing a little article. Also, hopefully I can reach more people by writing this.

Possible situations

There are two things you'll need to care about when returning a value with python. The first is the type you're trying to return and the second is where you're returning it.

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Article
· May 29, 2019 1m read
Simple Remote Server Control

This example is extracted from a long-running installation.
The purpose is to have simple monitoring of several servers at a rather primitive level.
Just slightly more intelligent than a raw PING. But still easy to integrate.
It avoids the overkill of information you are often confronted with while you are just
interested in the number of active processes or similar basic figures.
The example shows a basic skeleton that might be easily filled by your real needs.

It consists of 3 sections:

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Article
· Feb 14, 2017 1m read
Portal tip: The inconspicuous Menu button

Amongst the large fonts and chunky icons of Portal's pages, the Menu button in the top left corner is easily overlooked:

When clicked, it often produces the following menu:

When I remember it's there, I find the "View Console Log" option particularly handy.

I wrote "often" above because I've also noticed that the Menu contents change when I'm on a page within the Ensemble section of Portal:

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This is a quick note on what happens when, on your CSP page, you call a cache script which returns a %Boolean and store that value in a javascript variable.

When you call a script with language="cache" and returntype="%Boolean" from a javascript script, the return value is interpreted as a string, not as a boolean.

Here's an example:

A cache script that returns (in theory) a "false" value:

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With the advent of Embedded Python, a myriad of use cases are now possible from within IRIS directly using Python libraries for more complex operations. One such operation is the use of natural language processing tools such as textual similarity comparison.

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This is the third article in our short series around innovations in IRIS SQL that deliver a more adaptive, high-performance experience for analysts and applications querying relational data on IRIS. It may be the last article in this series for 2021.2, but we have several more enhancements lined up in this area. In this article, we'll dig a little deeper into additional table statistics we're starting to gather in this release: Histograms

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As a former JAVA developer it has always been a challenge to decide which database was the most suitable for the project we were going to develop, one of the main criteria I used was their performance, as well as their HA configuration capabilities ( high availability). Well, now is the time to put IRIS to the test with respect to some of the most commonly used databases, so I've decided to create a small Java project based on SpringBoot that connects via JDBC with a MySQL database, another of PostgreSQL and finally with IRIS.

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Article
· Jul 12, 2019 2m read
Basic Database Metrics example

This is a self contained class that can be run from the Intersystems Task Scheduler which records peak usage details for databases and licenses built up throughout the day and retaining 30 days history.

To schedule the task to run every hour:

d ##class(Metrics.Task).Schedule()

You can also specify your own start time, stop time, and run interval:

d ##class(Metrics.Task).Schedule(startTime, stopTime, intervalMins)

Metrics are stored in ^Metrics in the namespace that the class resides in/is run from.

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Article
· Nov 20, 2023 3m read
Parquet files and InterSystems IRIS

In the world of Big Data, selecting the right file format is crucial for efficient data storage, processing, and analysis. With the massive amount of data generated every day, choosing the appropriate format can greatly impact the speed, cost, and accuracy of data processing tasks. There are several file formats available, each with its own set of advantages and disadvantages, making the decision of which one to use complex. Some of the popular Big Data file formats include CSV, JSON, Avro, ORC, and Parquet.

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FHIR Terminology Service specification describes a set of operations on CodeSystem, ValueSet and ConceptMap resources. Among those operations, the following four operations appear to be the most widely adopted ones:

CodeSystem ValueSet
$lookup
$validate-code
$expand
$validate-code

Developing a partial implementation of the specification has been an effective way to explore the new FHIR framework introduced in IRIS for Health 2020.1. The implementation includes four operations listed above, and supports read and search interactions for CodeSystem and ValueSet resources.

It's important to note that the implementation uses plain ObjectScript persistent classes as source terminology tables.

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Hi Developers!

As discussed in previous parts of Package Manager stories to turn your IRIS application into a deployable package you just need to introduce the module.xml file into the root folder of the repository and describe all the resources.

I’m pleased to introduce you to a new project template on Open Exchange which contains examples of how to make different types of resources of your InterSystems IRIS application a part of the ObjectScript package and so make the deployable ObjectSctipt package.

Let's see how you can describe your application resources using this template project as an example.

See the details below.

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Article
· Feb 8, 2022 1m read
GlobalToJSON-embeddedPython-pure

I have created a package to export a Global into JSON object file and to re-create it by reloading from this file
embeddedPython refers to the new available technologies. It should be understood as a learning exercise of
how to handle the language interfaces. Only Global nodes containing data are presented in the generated JSON file.
Differently from the previous example, this one is using embedded Python only, no ObjectScript. Therefore PURE

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Hi Community!

Just want to share with you an exercise I made to create "my own" chat with GPT in Telegram.

It became possible because of two components on Open Exchange: Telegram Adapter by @Nikolay Solovyev and IRIS Open-AI by @Kurro Lopez

So with this example you can setup your own chat with ChatGPT in Telegram.

Let's see how to make it work!

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Article
· Mar 2, 2024 4m read
IKO - Lessons Learned (Part 1 - Helm)

The IKO documentation is robust. A single web page, that consists of about 50 actual pages of documentation. For beginners that can be a bit overwhelming. As the saying goes: how do you eat an elephant? One bite at a time. Let's start with the first bite: helm.

What is Helm?

Helm is to Kubernetes what the InterSystems Package Manager (IPM, formerly ObjectScript Package Manager - ZPM) is to IRIS.

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Article
· Nov 19, 2020 6m read
OCR and NLP together into InterSystems IRIS

According to IDC, more than 80% of information it is NoSQL, especially text into documents. When the digital services or applications not process all this information, the business lose. To face this challenge, it is possible use OCR technology. OCR uses machine learning and/or trained image patterns to transform image pixels into text. This is important, because many documents are scanned into images inside PDF, or many documents contains images with text inside. So OCR are an important step to get all possible data from a document.

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