When I describe InterSystems IRIS to more technically-minded people, I always start with how it is a multimodel DBMS at its core.

In my opinion that is its main advantage (on the DBMS side). And the data is stored only once. You just choose the access API you want to use.

Hi Developers!

Many of you publish your InterSystems ObjectScript libraries on Open Exchange and Github.

But what do you do to ease the usage and collaboration to your project for developers?

In this article, I want to introduce the way how to introduce an easy way to launch and contribute to any ObjectScript project just by copying a standard set of files to your repository.

Let's go!

Nowadays so much noise around LLM, AI, and so on. Vector databases are kind of a part of it, and already many different realizations for the support in the world outside of IRIS.

Why Vector?

• Similarity Search: Vectors allow for efficient similarity search, such as finding the most similar items or documents in a dataset. Traditional relational databases are designed for exact match searches, which are not suitable for tasks like image or text similarity search.
• Flexibility: Vector representations are versatile and can be derived from various data types, such as text (via embeddings like Word2Vec, BERT), images (via deep learning models), and more.
• Cross-Modal Searches: Vectors enable searching across different data modalities. For instance, given a vector representation of an image, one can search for similar images or related texts in a multimodal database.

And many other reasons.

So, for this pyhon contest, I decided to try to implement this support. And unfortunately I did not manage to finish it in time, below I'll explain why.

IRIS 2023.3.0 ASQ

Abstract Set Query, ASQ, is a super set of JSON Path Language, JPL, which was first introduced by the 2016 ISO SQL Standard. JPL is only defined within the context of SQL. In 2023.3, we introduced classes that implement ASQ. It works on any implementation of %Library.AbstractSet. The complete syntax for ASQ will be documented later. This is just a quick introduction to a few of its features. This implementation comes with a nice utility as well. You will know it when you see it!

Hi Community!

We're pleased to announce that that InterSystems IRIS Community Edition is available on the Docker Store! InterSystems IRIS Community Edition is the no-cost developer edition designed to lower the barriers to entry to get started with IRIS. Now that it is listed on the Docker Store, running an IRIS Community instance is as easy as -

Hey Developers,

We'd like to invite you to join our next contest dedicated to creating AI/ML solutions that use Cloud SQL to work with data:

🏆 InterSystems IRIS Cloud SQL and IntegratedML Contest 🏆

Duration: April 3 - April 23, 2023

Prize pool: $13,500

We have a yummy dataset with recipes written by multiple Reddit users, however most of the information is free text as the title or description of a post. Let's find out how we can very easily load the dataset, extract some features and analyze it using features from OpenAI large language model within Embedded Python and the Langchain framework.

InterSystems IRIS Document Database (DocDB) offers a flexible and dynamic approach to managing database data. DocDB embraces the power of JSON (JavaScript Object Notation), providing a schema-less environment for storing and retrieving data.

It is a powerful tool, enables developers to bypass a ton of boiler plate code in interaction with existing applications, serialization, pagination and integration. the seamless flow of DocDB with Interoperability Rest services and operations, gives a big leap in API production and management.

for full DocDB documentation Here. in the context of this article i will showcase a use case in which DocDB will make a perfect fit.

Jupyter Notebook is an interactive environment consisting of cells that allow executing code in a great number of different markup and programming languages.

To do this Jupyter has to connect to an appropriate kernel. There was no ObjectScript Kernel, that is why I decided to create one.

You can try it out here.

Here's a sneak peek of the results:

I would say it is a post of pain after years of using InterrSystems IRIS Docker images in many projects.

And I hope InterSystems will hear me and do something with it.

We have a lot of issues with Docker images, but I see no progress in solving them.

• containers.intersystems.com - any new releases substitute previous versions, makes build useless
  • ARM64 images have separate names, and it makes a pain to use them
• flags in iris-main, appears and disappears from version to version, which may fail the start the container
• healthcheck does not work as expected

Security wanted!

Welcome to the next InterSystems online programming competition:

🏆 InterSystems Security Contest 🏆

Duration: November 15 - December 05, 2021

Prizes: $9,450 in prizes!

One of the most common kinds of integration we are asked to do is emailing. One of the most typical email services our customers use is Microsoft’s Office 365. After setting up the right configuration on the Microsoft side, we can email from IRIS with two HTTP requests.

Hyper-Converged Infrastructure (HCI) solutions have been gaining traction for the last few years with the number of deployments now increasing rapidly. IT decision makers are considering HCI when scoping new deployments or hardware refreshes especially for applications already virtualised on VMware. Reasons for choosing HCI include; dealing with a single vendor, validated interoperability between all hardware and software components, high performance especially IO, simple scalability by addition of hosts, simplified deployment and simplified management.

Introduction

Hello! In this article, I will be discussing database degrade, a type of data integrity issue one can face when using IRIS. First, I will be going over a review of the structure of IRIS databases. I'll then discuss how database degrade can manifest and common causes of degrade issues. I'll then conclude with general tips we give our customers about how to prevent or prepare for database degrade issues.