#InterSystems IRIS

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InterSystems IRIS is a Complete Data Platform
InterSystems IRIS gives you everything you need to capture, share, understand, and act upon your organization’s most valuable asset – your data.
As a complete platform, InterSystems IRIS eliminates the need to integrate multiple development technologies. Applications require less code, fewer system resources, and less maintenance.

Why to use it

This app offers an easy interface to analyze storage:

  • 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.

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In the ever-evolving landscape of data science and machine learning, having the right tools at your disposal can make all the difference. In this article, we want to shine a spotlight on two essential Python libraries that have become indispensable for data scientists and machine learning practitioners alike: Matplotlib and scikit-learn.

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Hello developers!

We are holding the first technical article contest on Japan's InterSystems Developer Community!

The first contest is a technical document writing contest, and you can submit any content related to the InterSystems IRIS/InterSystems IRIS for Health. (The article must be in Japanese.)

✍ InterSystems Japan Technical Document Writing Contest: Articles related to IRIS ✍

🎁 Participation prize: There will be a participation prize for everyone who submits an article for the contest.

🏆 Special prize: Authors of three selected works will receive special prizes.

Entering the contest is easy! Please post an article related to IRIS on the developer community during the period from Wednesday, September 6, 2023 to Monday, November 6, 2023.

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Hi Interoperability experts!

Recently noticed an interesting conceptual discussion in our Interoperability Discord channel to which I want to give more exposure.

All we know that typical InterSystems Interoperability production consists of the following chain:

Inbound adapter->Business Service->Business Process->Business Operation->Outbound adapter.

And Business Process (BO) here is always considered as a passive "listener" either on port/folder/rest API for an incoming data.

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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.

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Doing a new project with %JSON.Adaptor, unexpectedly realized that %JSON.Adaptor does not support export to native JSON. %JSONExport just outputs directly to the current device, and there are two more methods %JSONExportToString, and %JSONExportToStream.

In conjunction with generating REST from swagger specification, where any generated method accepts as a result %DynamicObject, which is good.

I have multiple places in my REST where I have to return JSON for an object, but I have to modify the result a bit, just extend it with some other way.

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I am planning upgrade my PC OS to windows 10 to Windows 11.

There is any compactibility issue is with windows 11 with JReport and Intersystes Studio.

Intersystems Studio Version: - InterSystems Studio Client 2021.1.0 Build 215
Server IRIS for UNIX (Red Hat Enterprise Linux for x86-64) 2021.1 (Build 215_0_21953U)

JReport Designer Version :- JReport Designer 15.5

Anyone help to know there is any compactibility issue is there.

Thanks in Advance.

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Hi Community

In this article, I will introduce my application IRIS-GenLab.

IRIS-GenLab is a generative AI Application that leverages the functionality of Flask web framework, SQLALchemy ORM, and InterSystems IRIS to demonstrate Machine Learning, LLM, NLP, Generative AI API, Google AI LLM, Flan-T5-XXL model, Flask Login and OpenAI ChatGPT use cases.

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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.

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Enhanced Password Management: Edit Passwords Seamlessly

In the ever-evolving landscape of digital security, robust password management tools have become indispensable. Our password management application, designed to simplify and secure your online life, now comes with an enhanced feature – the ability to edit passwords with ease.

Why is this feature a game-changer?

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Article
· Sep 17, 2023 1m read
native-api-py-demo

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

pip install intersystems_irispython-3.2.0-py3-none-any.whl
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Hey Community,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Best Practices for InterSystems IRIS System Performance in the Cloud @ Global Summit 2023

https://www.youtube.com/embed/2nUzXjymRXs
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For several years now Visual Studio Code has supported the notebook coding paradigm with a maturing UX and an API that is enabling a notebook extensions ecosystem to grow. One of the best-known notebook platforms is Jupyter Notebooks. A Microsoft team publishes an extension that allows VS Code to handle .ipynb notebook files. These can either work against a local Python environment or connect to a Jupyter Server, which typically hosts remote Python environments with beefier resources.

What if your InterSystems IRIS environments, whether local on your workstation or remote in your organization / cloud, could operate as Jupyter Servers? And not only for Embedded Python but also for ObjectScript and SQL

"If we build it, will they come?"

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Hi Community,

We're pleased to invite you to the upcoming webinar in Hebrew:

👉 Leveraging Embedded Python in Hebrew 👈

🗓️ Date & time: September 12th, 3:00 PM IDT

https://www.youtube.com/embed/shr7yMRj83Q?si=EGmYxBk0v-2j6j6c
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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.

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Still working on my first External REST API call, and I am struggling to find the exact answer I am looking for... I get a JSON response from my API call but I am not quite sure how to dynamically get the JSON response into the Ens.Response Object with its lists of Arrays that I have defined.

set tSC = ..Adapter.SendFormDataArray(.tHTTPResposne,"POST",tHTTPRequest,,,tURL)

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Hi everyone,

I have a question related to a strange issue I've been experiencing over the last few days.

Context

I'm attempting to create an automatic resending system that, if no reply is received from the server, raises an error and re-sends the message. This process continues for the a duration defined by the FailureTimeout (e.g., 20 seconds), and a new message is being sent every 5 seconds until the FailureTimeout is reached. If no response was obtained from the server, the system returns an error.

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Currently, the SQL privileges (SELECT, INSERT, UPDATE, DELETE) are managed at the tables level, which can be very tedious when you have to administer many roles in an organization, and need to keep them sync with a constantly evolving data models.
By managing privileges at the schemas level, will allow to give SELECT and other DML privileges to *all* or *several schemas* to a role|user, fixing the need to manually synchronize the new tables|views to the roles.

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