#InterSystems IRIS

Why to use it

This app offers an easy interface to analyze memory:

• Filter by database (namespace), global name, used size, or allocated size;
• View a sum of the used and allocated sizes for the filters applied;
• Export the table to JSON, CSV, or XML.

How to use it

Follow the instructions on the README file from the GitHub repository, and configure the settings to connect to your instance.

Hello to all developers and IRIS users.
I am submitting to the competition a project for an alternative IRIS management portal that I have long wanted to create. The project was implemented on the Django framework and the intersystems_irispython-3.2.0-py3-none-any.whl library using native IRIS. The Django project is integrated with the telegram messenger and can be launched from a docker container or directly.

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.

Hello developers,

In this article, I'll show you how to run code at compile time with ObjectScript macros.

Here's a use case that recently led me to use this feature:

As part of a medical application developed for more than 20 years, we have a large number of parameters. Although we have procedures for documenting these settings, it can be helpful to have a quick view of which settings are actually used by the application code.

native-api-py-demo

This is a demo of IRIS Native API for Python, which uses Python to call the Object Script method and flow the message in production. Python obtains the message after flow and the message in global, and uses ZPM Package deployment.

Firstly, we need to install the Native API package

Enter on the command line

InterSystems FAQ rubric

It can be retrieved using the schema INFORMATION_SCHEMA.

INFORMATION_SCHEMA is a system schema and is not displayed by default in the SQL menu of the Management Portal.

The method to display it is as follows.

1. Open Management Portal → System Explorer → SQL menu.
2. Check "System" on the left of the schema drop-down.
3. Select INFORMATION_SCHEMA from the schema dropdown.

We continue with the series of articles related to the QuinielaML application. In this article we are going to cover how to prepare the raw data that we have captured using the Embedded Python functionality.

Welcome everybody!

InterSystems FAQ rubric

You can avoid the error by specifying a stream object as the argument of %ToJSON() used when generating a JSON string from a dynamic object.

A code example is below.

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.

Overview

The online documentation contains a reference Defining and Using Class Queries -

Customizing Stored Procedures with ObjectScript directly has been useful to access NoSQL storage and external messaging via integration, to present output in tabular format.

While starting the development with IRIS we have a distribution kit or in case of Docker we are pulling the docker image and then often we need to initialize it and setup the development environment. We might need to create databases, namespaces, turn on/off some services, create resources. We often need to import code and data into IRIS instance and run some custom code to init the solution.

And there plenty of templates on Open Exchange where we suggest how to init REST, Interoperability, Analytics, Fullstack and many other templates with ObjectScript. What if we want to use only Python to setup the development environment for Embedded Python project with IRIS?

So, the recent release of Embedded Python template is the pure python boilerplate that could be a starting point for developers that build python projects with no need to use and learn ObjectScript. This article expresses how this template could be used to initialize IRIS. Here we go!

In this article, I am demonstrating how to create a table column(formerly known as properties) with your custom datatype classes by using User defined DDL. Properties are the crucial member of the persistent class definition. Datatypes are essential to define types of values that are stored in a table column. In general, the datatype names of SQL different from Intersystems datatypes, such as VARCHAR = %String.

We continue with the series of articles based on the QuinielaML application.

In today's article I will describe how to work with the Embedded Python functionality available in InterSystems products.

Our objective

Today we continue expanding our last article by sharing information about some features we added to our portal. We will include a pinch of CSS to visualize the available data better and export it. Finally, we will study how to add some filtering and ordering options. By the end of this article, you should be able to display a complete simple query beautifully.