#InterSystems IRIS

Hi, Community!

Since this article is an overview of Flask Login, let's begin with Flask Introduction!

What is Flask?

In the realm of web development, Python has emerged as a formidable force, offering its versatility and robustness to create dynamic and scalable applications. For that reason, tools and services compatible with this language are in demand these days. Flask is a lightweight and easy-to-use web framework for Python. It stands out as a lightweight and user-friendly option. Its simplicity and flexibility have made it a popular choice for developers, particularly for creating smaller-scale applications. It is based on the Werkzeug toolkit and provides a simple but powerful API for building web applications.
Unlike its full-stack counterparts, Flask provides a core set of features, focusing on URL routing, template rendering, and request handling. This minimalist approach makes Flask lightweight and easy to learn, allowing developers to build web applications quickly and without the burden of unnecessary complexity.

Here we are again with an article related to the Mirror!

In the previous article we saw how we could configure a Mirror between two IRIS instances, one acting as an active node and the other as a passive one. This mirroring system works on the transfer of a journal file that keeps the instance that works as a passive node continuously updated, but what happens if due to some communication failure or permissions of the journal file it is not transferred correctly?

When AMD published the x86-64 standard in 1999, little did they know they were inventing what would become the de-facto architecture for server CPUs. But the CPUs of today aren’t the same as ones produced 20 years back – as they have extensions for everything from Advanced Vector Extensions (AVX) to Hardware-Assisted Virtualization (VT-d).

InterSystems would like to take better advantage of these new extensions in upcoming versions of InterSystems IRIS. While our compilers are smart enough to create optimized code for many situations, some optimizations can only be turned on by explicitly cutting off support for processors that do not have that instruction set. Additionally, we are finding it increasingly difficult to maintain older CPU models to test on.

InterSystems FAQ rubric

Using the Config.Configuration class and SYS.Database class methods, you can create and register a namespace database from the terminal.

Below is a series of execution examples that create database file /CacheDB/AAA/cache.dat and register database AAA and namespace AAA in the configuration file (cache.cpf).
* Execute in the %SYS namespace. *

* Make sure that this script runs as the user that is used for all IRIS processes to ensure that the directory has appropriate ownership and permissions *

The latest Node.js Weekly newsletter included a link to this article:

https://thecodebarbarian.com/getting-started-with-vector-databases-in-no...

I'm wondering if anyone has been considering or actually using IRIS as a vector database for this kind of AI/ChatGPT work?

In part I of this article, we have already learned more about HL7, its messages, structure, segments, and fields. In this part II, we will show you how to transform proprietary/custom data into HL7 using IRIS for Health. For our sample, we used the data generated by the SYNTHEA bulk data generation project (https://synthea.mitre.org/downloads). So, we will show you how to convert 1000 patients from a CSV file to HL7 v2, using the Interoperability features of IRIS for Health.

In case you're planning on deploying IRIS For Health, or any of our containerized products, via the IKO on OpenShift, I wanted to share some of the hurdles we had to overcome.

As with any IKO based installation, we first need to deploy the IKO itself. However we were getting this error:

The extended maintenance releases of InterSystems IRIS, InterSystems IRIS for Health, and HealthShare Health Connect 2023.1.1 are now available. This release provides bug fixes for the previous 2023.1.0 releases.

You can find the detailed change lists / upgrade checklists on these pages:

InterSystems FAQ rubric

To resolve the error <PROTECT>, remove the read-only attribute of the system-wide library database (IRISLIB for InterSystems IRIS, CACHELIB for Caché/Ensemble/HealthShare (Caché-based))

Once you have finished importing the routine, remember to change it back to read-only.

[Version 2013.1 and above]
[Management Portal] > [System Administration] > [Configuration] > [System Configuration] > [Local Database] Uncheck "Mount read-only" from the database name link.

Join the latest InterSystems Developer Meetup to learn how to analyze healthcare data.

FHIR (Fast Healthcare Interoperability Resources) is a global data standard in healthcare and it's great for interoperability but not great for analysis of that data.💡 Learn from InterSystems product managers and engineers how make SQL projections of FHIR data and build out Python Panda applications leveraging those projections.

Presentations:

From time to time InterSystems must respin a release to correct 1-2 issues. This process generates new kits called "Point Releases".

A Point Release is distinct from maintenance or feature releases. Its objective is to correct an urgent issue in the field quickly and surgically.

InterSystems FAQ rubric

If you restart the OS after changing the machine name without stopping InterSystems IRIS (hereinafter referred to as IRIS), a problem occurs when IRIS cannot start.

To get started, delete the <installation directory>\mgr\iris.ids file.

InterSystems FAQ rubric

To remove InterSystems products installed on your Windows system, use Add or Remove Programs in Control Panel (in Windows 10, select Apps from Windows Settings).

Since we will be making changes to the system, you will need to log in as a user with administrator privileges.

1) Log in to the system as an administrator.

2) From the system tray, exit the launcher of the InterSystems product instance you want to uninstall (click launcher → exit).