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#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.

Updated Jan 19th, 2023.

Hi all,

I want to share a quick little method you can use to enable ssl with a self signed certificate on your local development instance of IRIS/HealthShare. This enables you to test https-specific features such as OAuth without a huge lift.

1. Install OpenSSL

Windows     : Download from https://www.openssl.org or other built OpenSSL Binary. 

Debian Linux: $ sudo apt-get -y install openssl

RHEL        : $ sudo yum install openssl
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Hey Developers,

Don't miss the new exciting promo video from our Brazilian developers on InterSystems Developers YouTube:

🍿 Promo video + Screencast for No Project Mess By IRIS

https://www.youtube.com/embed/gyvpdnPkV5c
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It is a recommended security practice to login into sensitive Administrator Portals without any input passwords. Thus, it is necessary to identify and authenticate the users correctly. A common technique employed by web portals and mobile applications is to use Google social login. Today, Google Gmail has 2 billion users (source: https://www.usesignhouse.com/blog/gmail-stats). Therefore, it is a perfect shared login service to utilize to login InterSystems IRIS users when they need to manage their instances. This article will detail all the steps to embed Google Login into your InterSystems Management Portal.


Register your InterSystems instance in the Google Console

1. Go to https://console.cloud.google.com and log in with your Google user account.
2. On the header click Select a project:

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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.

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What I find really useful about IRIS when teaching my subject of Postrelational databases is the fact that it is a multi model database. Which means that I can actually go into architecture and structure and all that only once but then show the usage of different models (like object, document, hierarchy) using the same language and approach. And it is not a huge leap to go from an object oriented programming language (like C#, Java etc) to an object oriented database.

However, along with advantages (which are many) come some drawbacks when we switch from object oriented model to relational. When I say that you can get access to the same data using different models I need to also explain how it is possible to work with lists and arrays from object model in relational table. With arrays it is very simple - by default they are represented as separate tables and that's the end of it. With lists - it's harder because by default it's a string. But one still wants to do something about it without damaging the structure and making this list unreadable in the object model.

So in this article I will showcase a couple of predicates and a function that are useful when working with lists, and not just as fields.

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Mirroring 101

Caché mirroring is a reliable, inexpensive, and easy to implement high availability and disaster recovery solution for Caché and Ensemble-based applications. Mirroring provides automatic failover under a broad range of planned and unplanned outage scenarios, with application recovery time typically limited to seconds. Logical data replication eliminates storage as a single point of failure and a source of data corruption. Upgrades can be executed with little or no downtime.

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In recent versions of IRIS, a powerful new data loading command has been introduced to SQL: LOAD DATA. This feature has been highly optimized to import data into IRIS extremely fast, allowing hundreds of gigabytes of data to be inserted in seconds instead of hours or days.

This is a very exciting improvement. However, a big problem in the data loading experience still exists. Namely, the time and hassle it takes to:

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Hi Everyone,

New Coding Talk, recorded by @Evgeny Shvarov, is already on InterSystems Developers YouTube:

GitHub Repository Template To Develop and Debug ObjectScript in InterSystems IRIS

https://www.youtube.com/embed/PumOI3q5Gdk
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Article
· Apr 4, 2023 2m read
InterSystems SQL Cheat Sheet

Hi developers!

As you know InterSystems IRIS besides globals, object, document and XML data-models also support relational where SQL is expected as a language to deal with the data.

And as in other relational DBMS InterSystems IRIS has its own dialect.

I start this post to support an SQL cheatsheet and invite you to share your favorites - I'll update the content upon incoming comments.

Here we go!

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Hi all, I have released the latest version of VSCode extension for ObjectScript already a month ago, and finally a time for the info about this new release.

So, what's new in the release:

What's new in this version

  • added export setting "objectscript.export.addCategory" if enabled uses the previous behaviour, adds category folder to export folder, disabled by default
  • added Server actions menu, by clicking on server info from status bar. Open Management portal, Class Reference and toggle connection.
  • Class Suggestion in ##class, Extends, As, CompileAfter, DependsOn, PropertyClass
  • $SYSTEM suggestion by Classes from %SYSTEM
  • Import and compile folder or file by context menu in File Explorer
  • Server Explorer, now possible to open any other namespace
  • Macros suggestion

For details how it works now, look further.

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Article
· Jul 20, 2020 1m read
IRIS NativeAPI for Node.js compact

An all-in-1 package of the WebSocket MicroService Demo

To simplify the demo of the WebSocket-Micro-Server (WSockClientMicroSV)
the whole package is now bundled into a single Docker Image

How to use it

From the same terminal start the IRIS based client and prepare your orders

  docker-compose exec iris iris session iris %ZSocket

on WebTerminal it is simply

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It has been asked a few times recently, how one can make Laravel Framework work with InterSystems IRIS Data Platform. It's been a while since this post about Laravel and InterSystems Caché was published. To bring it up to date, the article gives a brief instruction set on how to setup and configure a Laravel project for use with InterSystems IRIS through ODBC.

What is Laravel?

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If you are using Python, you can use the built-in venv module to create a virtual environment. This module is the recommended way to create and manage virtual environments.

A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them. It solves the “Project X depends on version 1.x but, Project Y needs 4.x” dilemma, and keeps your global site-packages directory clean and manageable.

So if like me you work a lot with Python, you can use the venv module to create a virtual environment for your project. This will allow you to install packages without affecting the global Python installation.

You will find here two neat alias to create and activate a virtual environment.

Python aliases

alias venv="python3 -m venv .venv; source .venv/bin/activate"
alias irisvenv="python3 -m venv .venv; source .venv/bin/activate; pip install https://github.com/grongierisc/iris-embedded-python-wrapper/releases/download/v0.0.3/iris-0.0.3-py3-none-any.whl"

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Article
· Feb 25, 2019 4m read
Using Grafana directly from IRIS

There have been some very helpful articles in the community that show how to use Grafana with IRIS (or Cache/Ensemble) by using an intermediate database.

But I wanted to get at IRIS structures directly. In particular, i wanted to access the Cache History monitor data that is accessible by SQL as described here

https://community.intersystems.com/post/apm-using-cach%C3%A9-history-mon...

and didn't want anything between me and the data.

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This is the third article in our short series around innovations in IRIS SQL that deliver a more adaptive, high-performance experience for analysts and applications querying relational data on IRIS. It may be the last article in this series for 2021.2, but we have several more enhancements lined up in this area. In this article, we'll dig a little deeper into additional table statistics we're starting to gather in this release: Histograms

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· Feb 22 4m read
IRIS 2024.1 Preview - New Feature

There is an interesting new feature in the recently announced 2024.1 preview, JSON_TABLE. JSON_TABLE is one of a family of functions introduced by the 2016 version of the SQL Standard (ISO Standard, published in early 2017). It allows for JSON values to be mapped to columns and queried using SQL. JSON_TABLE is valid in the FROM clause of some SQL statements.

The syntax of JSON_TABLE is quite large, allowing for exceptional conditions where the provided JSON values don't match expectations, nested structures and so on.

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Introduction

As the health interoperability landscape expands to include data exchange across on-premise as well as hosted solutions, we are seeing an increased need to integrate with services such as cloud storage. One of the most prolifically used and well supported tools is the NoSQL database DynamoDB (Dynamo), provided by Amazon Web Services (AWS).

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