Have you ever needed a math function but could not find what you needed and ended up writing your own? Look no further! ObjectScript-Math is here to solve all your math related function needs.
ObjectScript-Math is an Open Source library for ObjectScript Math functions. It is now available on Open Exchange. This library contains a mix of new functions that are not currently available and functions that are available. The existing functions will be wrapped for use from ObjectScript-Math so that all Math functions can have a central location.
This library will continue to grow, so give it a try and give your feedback!
Don't see what you are looking for? Please feel free to submit requests for additional functions or contribute code yourself!
In today's data landscape, businesses encounter a number of different challenges. One of them is to do analytics on top of unified and harmonized data layer available to all the consumers. A layer that can deliver the same answers to the same questions irrelative to the dialect or tool being used.
Monitoring your IRIS deployment is crucial. With the deprecation of System Alert and Monitoring (SAM), a modern, scalable solution is necessary for real-time insights, early issue detection, and operational efficiency. This guide covers setting up Prometheus and Grafana in Kubernetes to monitor InterSystems IRIS effectively.
This guide assumes you already have an IRIS cluster deployed using the InterSystems Kubernetes Operator (IKO), which simplifies deployment, integration and mangement.
In today's digital age, effective data management and accurate information analysis are becoming essential for successful enterprise operations. InterSystems IRIS Data Platform offers two critical tools, ARCHITECT and ANALYZER, developed to deliver convenient data management.
In most cases, a global used by default storage has just 1 subscript level that represents the IDKEY. For an index-globals we may see 2 or more subscript levels. Arrays, or parent-child relationships or persistent classes extending a base data class are examples where we see more levels. Though all these globals are quite uniform.
If you're using Firefox, you probably know that there are search engine addons that allow us to use website search directly. Now, docs.intersystems.com is also available as a search engine here. Here's how it looks:
We have a lot of good articles posted on Community to the date. Even more questions with great answers (see the stats). Thank you for your contribution!
So sometimes it worth to use search to find an answer or the best practices or the post you remember was posted but cannot find.
(Possibly?) little-known fact: It's possible to use $ListBuild on the left hand side of the equals sign in a set command to extract multiple list values at once:
set $ListBuild(several,individual,variables) = list
I've released a comprehensive, free online training course on the new EWD 3 suite of products that allow the integration of Cache with the burgeoning Node.js world, and allow you to create and run browser-based and mobile applications with all the very latest development technologies from the JavaScript world.
With the world (as well as our own technology) moving to the cloud at such a fast pace it is easy (at least for myself) to get caught up in the little details. One thing I, and some clients of ours, had run into a couple of times was the necessity to specify the version of the images one plans to use with the IKO.
In this article, I will introduce my application iris-VectorLab along with step by step guide to performing vector operations.
IRIS-VectorLab is a web application that demonstrates the functionality of Vector Search with the help of embedded python. It leverages the functionality of the Python framework SentenceTransformers for state-of-the-art sentence embeddings.
Application Features
Text to Embeddings Translation.
VECTOR-typed Data Insertion.
View Vector Data
Perform Vector Search by using VECTOR_DOT_PRODUCT and VECTOR_COSINE functions.
Demonstrate the difference between normal and vector search
HuggingFace Text generation with the help of GPT2 LLM (Large Language Model) model and Hugging Face pipeline
Integrating frontend React applications with backend services like IRIS database via REST APIs can be a powerful way to build robust web applications. However, one common hurdle developers often encounter is the Cross-Origin Resource Sharing (CORS) issue, which can prevent the frontend from accessing resources on the backend due to security restrictions enforced by web browsers. In this article, we'll explore how to tackle CORS issues when integrating React web apps with IRIS backend services.
Unlike the movie mentioned in the image (for those who don't know, Matrix, 1999), the choice between Dynamic SQL and Embedded SQL is not a choice between truth and fantasy, but it is still a decision to be made.Below, I will try to make your choice easier.
If your need is interactions between the client and the application (and consequently the database), Dynamic SQL may be more appropriate, as it "adapts" very easily to these query changes.However, this dynamism has a cost: with each new query, it is remodeled, which can have a higher cost to execute.Below is a simple example of a Python code snippet.
The challenge today is about some basic cryptography : you will have to generate data for a one-time pad (OTP) (see https://en.wikipedia.org/wiki/One-time_pad for more info).
Recently DigitalOcean introduced new plans for droplets, but as existing droplets stayed on the old plans I decided to use API to resize them automatically. After reading tutorial, I wrote partial client for DigitalOcean API, which I would like to share today.
If you're deploying to more than one environment/region/cloud/customer, you will inevitably encounter the issue of configuration management.
While all (or just several) of your deployments can share the same source code, some parts, such as configuration (settings, passwords) differ from deployment to deployment and must be managed somehow.
In this article, I will try to offer several tips on that topic. This article talks mainly about container deployments.
I'm running reviews on Open Exchange since April 2021. I have seen excellent packages, good ones, and some that made me feel just lost. And I started to recognize contributors also by their style and organization of the submitted packages.
In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana.
Note that the Google Cloud Platform used in this article is not free (price list), but you can leverage a free tier. This article assumes that you already have a project in the Google Cloud Platform (referred to as <your_project_id>) and have permission to use it.
Packed Pretty.xml installs routine ZPretty in any namespace. calling $$Do^ZPretty(input,[filler],[newline])returns a wrapped JSON string. filler is the optional string for the indent, default = " " newline is optional, default = $C(13,10) input accepts: JSON_String, JSON_Stream, %DynamicAbstractObject
We return with our example of using the FHIR Adapter, in this article we are going to review how we can configure it in our IRIS instances and what the result of the installation is.
The steps taken to configure the project are the same as indicated in the official documentation, you can review them directly here. Well, let's get to work!
I have attached a document that describes the product I have developed called NiPaRobotica Pharmacy. This is an interface I developed that accepts Pharmacy Dispense Requests and converts the line items on the order into dispense dialogues which it sends to pharmacy robots. I deployed the interface into 3 Hospital pharmacies two of which had 6 robots that were arranged in such a way that the dispense chutes channelled medications to desks by the pharmacists sitting in windows serving 1200 patients a day. The robots cut the average waiting time from 2 hours down to one hour.
InterSystems has also released IRIS as containerized deployments. This post is to demonstrate how InterSystems IRIS and applications those rely on IRIS a backend can be packaged into an image and be run in other machines in containers and how simple it is to do that.
A container runs image/s which have all the necessary executables, binary code, libraries, and configuration files. And the images can be moved from one machine to another, and an images repository like Docker Hub can simplify that process.
I have used an application from Open Exchange for this demo.
Welcome to NewBie's Corner, a weekly or biweekly post covering basic Caché Material.
InterSystems Caché provides a GUI (Graphical User Interface) based Integrated Development Environment (IDE) called Caché Studio. Developers can use Studio to create and maintain applications.
InterSystems has a new IDE called Atelier but that is for later.
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