#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.

Hello fellow developers!

When developing with ObjectScript Package Manager, one crucial thing is the package version, which we place in the module.xml file. When we add changes to the package and are ready to publish a new version of the package in the registry, we also need to increase the version number. This is clear, but it is annoying, and we can often forget to do that.

This small article will help you to automate such a process.

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** Revised Feb-12, 2018

While this article is about InterSystems IRIS, it also applies to Caché, Ensemble, and HealthShare distributions.

Introduction

Memory is managed in pages. The default page size is 4KB on Linux systems. Red Hat Enterprise Linux 6, SUSE Linux Enterprise Server 11, and Oracle Linux 6 introduced a method to provide an increased page size in 2MB or 1GB sizes depending on system configuration know as HugePages.

At first HugePages required to be assigned at boot time, and if not managed or calculated appropriately could result in wasted resources. As a result various Linux distributions introduced Transparent HugePages with the 2.6.38 kernel as enabled by default. This was meant as a means to automate creating, managing, and using HugePages. Prior kernel versions may have this feature as well however may not be marked as [always] and potentially set to [madvise].

Transparent Huge Pages (THP) is a Linux memory management system that reduces the overhead of Translation Lookaside Buffer (TLB) lookups on machines with large amounts of memory by using larger memory pages. However in current Linux releases THP can only map individual process heap and stack space.

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1. iris-dollar-list

PyPI - Status


Interpretor of $list for python named DollarList.

This interpretor was made because :

  • I wanted to use $list in python.
  • Embedded Python do not support $list.
  • The native API version do not support embedded $list in $list.

This is a work in progress. For now, it only support embedded $list in $list, int and string.

WIP float,decimal,double

This module is available on Pypi :

pip3 install iris-dollar-list

It is compatible with embedded python and native api.

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Adding VSCode into your IRIS container

One of the easiest ways to setup repeatable development environments is to spin up containers for them. I find that when iterating quickly, it was very convenient to host a vscode instance within my development container. Thus, I have created a quick container script to add a browser-based vscode into an IRIS container. This should work for most 2021.1+ containers. My code repository can be found here

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YASPE is the successor to YAPE (Yet Another pButtons Extractor). YASPE has been written from the ground up with many internal changes to allow easier maintenance and enhancements.

YASPE functions:

  • Parse and chart InterSystems Caché pButtons and InterSystems IRIS SystemPerformance files for quick performance analysis of Operating System and IRIS metrics.
  • Allow a deeper dive by creating ad-hoc charts and by creating charts combining the Operating System and IRIS metrics with the "Pretty Performance" option.
  • The "System Overview" option saves you from searching your SystemPerformance files for system details or common configuration options.

YASPE is written in Python and is available on GitHub as source code or for Docker containers at:

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Overview

We started to use Azure Service Bus (ASB) as an enterprise messaging solution 3 years ago. It is being used to publish and consume data between many applications in the organization. Since the data flow is complex, and one application’s data is usually needed in multi applications the “publisher” ---> ”multiple subscribers” model was a great fit. The ASB usage in the organization is dozens of millions of messages per day, while IRIS platform is having around 2-3 million messages/day.

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Article
· Oct 24, 2022 4m read
Embedded Python Template

Hi developers!

Let me share with you a minimal embedded python template, that I can recommend as a starting point for any general project with InterSystems IRIS that will use embedded python.

Features:

  • Embedded Python ready;
  • Examples of 3 ways of Embedded python development;
  • VSCode development ready;
  • Docker enabled;
  • Online demo enabled;
  • ZPM First development ready.

Let's discuss the features below!

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NB. Please be advised that PKI is not intended to produce certificates for secure production systems. You should make alternate arrangements to create certificates for your productions.
NB. PKI is deprecated as of IRIS 2024.1: documentation and announcement.

In this post, I am going to detail how to set up a mirror using SSL, including generating the certificates and keys via the Public Key Infrastructure built in to InterSystems IRIS Data Platform. I did a similar post in the past for Caché, so feel free to check that out here if you are not running InterSystems IRIS. Much like the original, the goal of this is to take you from new installations to a working mirror with SSL, including a primary, backup, and DR async member, along with a mirrored database. I will not go into security recommendations or restricting access to the files. This is meant to just simply get a mirror up and running. Example screenshots are taken on a 2018.1.1 version of IRIS, so yours may look slightly different.

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FTP (File Transfer Protocol) is a network protocol for transmitting files over TCP/IP connections in a network (including the Internet) configured to transfer files via this protocol. In an FTP transaction, a file sender is called a local host. A file receiver involved in FTP is a remote host, and it is usually a server. Although many file transfers can be conducted using Hypertext Transfer Protocol (HTTP), FTP is still commonly used to transfer files behind the scenes for other applications, such as banking services.

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I just wrote up a quick sample to help a colleague load data into IRIS from R using RJDBC, and figured it's worth sharing here for future reference.

Ultimately it was pretty simple, aside from IRIS not liking "." in column names; the workaround is to just rename the columns. Someone better at R than me could probably provide some generic approach. smiley

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Hello everyone!

We are Longevica (https://www.longevica.com/) Healthtech, a Boston-based healthy aging digital health startup. Longevica was born as a research company back in 2009; we pioneered the screening of chemicals, which would drastically extend the life span. With 1000 screened pharmaceuticals and 20 000 mice experiments, we have identified specific compounds that, if taken daily, could extend life by years. This discovery leads to two questions: how to measure the effect of aging progress in real-time and how to make this a lifelong habit. This led us to the digital health market to create a new company Longevica HealthTech.

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Hi Developers,

Python has a large and powerful ecosystem that contains thousands of libraries and packages available, especially in data science.

Therefore, I wanted to have a first try in using a recent feature of IRIS called Embedded Python, to simply import a python library called datetime, generate data with a timestamp component and persist it in InterSystems IRIS for Health Data Platform. The same will work on IRIS Data Platform as well.

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Welcome to the next chapter of my CI/CD series, where we discuss possible approaches toward software development with InterSystems technologies and GitLab.

Today, let's talk about interoperability.

Issue

When you have an active interoperability production, you have two separate process flows: a working production that processes messages and a CI/CD process flow that updates code, production configuration and system default settings.

Clearly, CI/CD process affects interoperability. But questions are:

  • What exactly happens during an update?
  • What do we need to do to minimize or eliminate production downtime during an update?
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Article
· Jul 12, 2019 2m read
Basic Database Metrics example

This is a self contained class that can be run from the Intersystems Task Scheduler which records peak usage details for databases and licenses built up throughout the day and retaining 30 days history.

To schedule the task to run every hour:

d ##class(Metrics.Task).Schedule()

You can also specify your own start time, stop time, and run interval:

d ##class(Metrics.Task).Schedule(startTime, stopTime, intervalMins)

Metrics are stored in ^Metrics in the namespace that the class resides in/is run from.

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