In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

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Dmitry Maslennikov · Aug 20, 2021 6m read
GitHub Codespaces with IRIS

Some time ago GitHub, has announced the new feature, GitHub Codespaces. It gives an ability to run VSCode in the browser, with almost the same power as it would run locally on your machine, but also with a power of clouds, so, you are able to choose the machine type with up to 32 CPU cores and 64 GB of RAM.

Looks impressive, is not it? But how it could help us, to work with projects driven by InterSystems IRIS? Let's have a look, how to configure it for us.

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Dmitry Maslennikov · Dec 3, 2021 1m read
VSCode-ObjectScript on GitHub

Not so while ago GitHub introduced, ability to very quickly run VSCode in the browser for any repository hosted there. Press the . key on any repository or pull request, or swap .com with .dev in the URL, to go directly to a VS Code environment in your browser.

github dev

This VSCode is a light version of the Desktop version but works entirely in Browser. And due to this, it has a limitation for extensions which was allowed to work this way. And let me introduce the new version 1.2.1 of VSCode-ObjectScript extension which now supports running in Browser mode.

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Robert Cemper · Mar 5, 2021 3m read
Using ECP across IRIS and Caché

Migration from Caché to IRIS can be quite a challenge if your code is grown over many years
and probably not so clean structured as you may like it. So you face the need to check your
migrated code against some reference data. A few samples might not be a problem,
but some hundred GB of data for testing might be.  

A possible step could be to have your fresh code in IRIS but leave your huge datastore on Caché and connect both environments over ECP.  I have created a demo project that gives you the opportunity to try this based on 2 Docker images with IRIS and with Caché connected over ECP.

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Oliver Wilms · Aug 4, 2021 3m read
IRIS Mirror in the cloud (AWS)

I have been working on redesigning a Health Connect production which runs on a mirrored instance of Healthshare 2019. We were told to take advantage of containers. We got to work on IRIS 2020.1 and split the database part from the Interoperability part. We had the IRIS mirror running on EC2 instances and used containers to run IRIS interoperability application. Eventually we decided to run the data tier in containers as well.

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I'd like to share with you some storage features that also exist in Caché but are almost 
unknown and mostly not used. They are of course available in IRIS and gain importance
with large and distributed storage architectures.

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Working in support, I usually get asked how many days I should keep journals. Should it be two days or after two backups? More? Less? Why two?

The correct answer (for most of the environments) is that you should keep the journals since the last validated Backup. I.e., until you don't check if a Backup is valid (restoring the file and checking with the Integrity utility), you can't be sure there is a good copy of your data and can't purge the journals safely.

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Hey Developers,

You asked - we did it! We're glad to announce the next competition for InterSystems Developers! Please welcome: 

🏆 InterSystems Programming Contest: Developer Tools 🏆

Submit an application that helps to develop faster, contribute more qualitative code, helps in testing, deployment, support, or monitoring of your solution with InterSystems IRIS.

Duration: March 29 - April 25, 2021

Total prize: $8,500 

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I'm pleased to announce a major release of the InterSystems Server Manager extension. It has gained a UI!

Read more at Open Exchange.

Right now version 2.0 is like an aircraft at the start of the runway (remember those days before COVID-19?), waiting for the control tower to give final clearance. Will you be an early adopter, downloading the VSIX from GitHub, installing it into your VS Code, and posting back here to confirm that we haven't left anything critical behind at the gate? Then I'll push the throttles forward, publish to Marketplace, and we'll all be on our way.

Server Manager 2.0 is my entry for the current contest. If you like it maybe you'll vote for me it. wink

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Eduardo Anglada · May 11, 2021 8m read
IRIS in Astronomy

In this article we are going to show the results of the comparision between IRIS and Postgress when handling Astronomy data.


Since the earliest days of human civilization we have been fascinated by the sky at night. There are so many stars! Everybody has dreamed about them and fantasized about life in other planets.

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Rob Tweed · Dec 20, 2021 1m read
Holiday Reading: What Lies Beneath!

For those of you who might be new to IRIS, and even those who have used Cache or IRIS for some time but want to explore beyond its usually-assumed boundaries and practices, you might want to dive into this detailed exploration of the database engine that is at its heart, and discover just what you can really do with it, going way beyond what InterSystems have done with it for you. 

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Timothy Leavitt · Mar 17, 2021 3m read
Making the most of $Query

I ran into an interesting ObjectScript use case today with a general solution that I wanted to share.

Use case:

I have a JSON array (specifically, in my case, an array of issues from Jira) that I want to aggregate over a few fields - say, category, priority, and issue type. I then want to flatten the aggregates into a simple list with the total for each of the groups. Of course, for the aggregation, it makes sense to use a local array in the form:

agg(category, priority, type) = total

Such that for each record in the input array I can just:

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Robert Cemper · Dec 25, 2021 1m read

After >40 years writing in-countable lines of code in M*/COS/ISOS (and a bunch of archaic  languages)
I decided for myself to set a strong signal for the future. We have Embedded Python available
(still pre-release)! I just felt it as a sacrilege to ignore this excellent NEW opportunity and
stay with the old sermon that I had used for decades.

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Eduard Lebedyuk · Apr 21, 2021 1m read
Ctrl+C / Ctrl+V in IRIS Terminal

It's possible to enable Ctrl+C / Ctrl+V in IRIS Terminal for Windows.

To do that, open Terminal and select Edit > User Settings and enable Windows edit accelerators. This setting specifies whether the Terminal enables the common Windows edit shortcuts (Ctrl+C, Ctrl+V, Ctrl+Shift+V), in addition to the basic Terminal edit shortcuts (Ctrl+Insert and Shift+Insert).

After that Ctrl+C / Ctrl+V would work.

Also <SYNTAX> errors after incorrect copy/paste go away.


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The 2021.2 release of the InterSystems IRIS Data Platform includes many exciting new features for fast, flexible and secure development of your mission-critical applications. Embedded Python definitely takes the limelight (and for good reason!), but in SQL we've also made a massive step forward towards a more adaptive engine that gathers detailed statistical information about your table data and exploits it to deliver the best query plans. In this brief series of articles, we'll take a closer at three elements that are new in 2021.2 and work together towards this goal, starting with Run Time Plan Choice.

It's hard to figure out the right order to talk about these (you can't imagine how often I've reshuffled them in writing this article!) because they fit together in such a nice way. As such, feel free to go on a limb and read these in random order smiley.

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Some changes in IRIS configuration require a restart of IRIS.
This is no big issue as long as I have access to the server command line with sufficient privileges.

In a container, this is not always given.
Stopping IRIS from the terminal/session prompt is no problem.
But the restart after is.  

Note1: container start-stop is no option as it might be removed by option --rm in docker run
Note2: the target is linux (manly in docker).  Windows is excluded

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