Sometimes customers need a small IRIS instance to do something in the cloud and shut it down, or they need hundreds of containers (i.e. one per end user or one per interface) with small workloads. This exercise came about to see how small an IRIS instance could be. For this exercise we focused on what is the smallest amount of memory we can configure for an IRIS instance. Do you know all the parameters that affect the memory allocated by IRIS ?

InterSystems FAQ rubric

The following code downloads https://www.intersystems.com/assets/intersystems-logo.png and saves the file as c:\temp\test.png.

You need to define an SSL configuration called SSLTEST before executing this code

Introduction

In InterSystems IRIS 2024.3 and subsequent IRIS versions, the AutoML component is now delivered as a separate Python package that is installed after installation. Unfortunately, some recent versions of Python packages that AutoML relies on have introduced incompatibilities, and can cause failures when training models (TRAIN MODEL statement). If you see an error mentioning "TypeError" and the keyword argument "fit_params" or "sklearn_tags", read on for a quick fix.

The Good Old Days

The %Library.DynamicObject class has been in IRIS since before it became IRIS. If you have been using it since the Cache days, you may want to brush up on some of its changes.

In Cache 2018, the %Get method only had one argument. It was the key to retrieving from the JSON, meaning that if your JSON object called myObj, it would look like the following:

The VS Code extension development team is looking for beta testers to provide feedback on a proposed overhaul of the client-side editing workflow. The full list of changes can be found in the GitHub pull request description. Here are the highlights:

Hi,

We’re launching an Early Access Program for an upcoming Table Partitioning feature that will help IRIS customers manage very large tables, and distribute row data and associated indices across databases and storage tiers. Table Partitioning cuts deep into the core of IRIS relational data management, so we want to make sure we get things right through working with a few engaged customers who can provide feedback on the initial deliverables, and fine-tune as needed.

I recently met an ages old issue related to code maintenance:

• You have access to your IRIS server just over ODBC/JDBC
• no VSCode access, no Studio access
• no (Web-)Terminal access

But you need to take a look on Classes or Routines or Globals !!
Anyhow SQL is your friend.

In this article I'll show you how to set up in your laptop, very quickly, a cluster of IRIS nodes in sharding. It's not the goal of this article neither to talk about sharding in detail nor define a deployment of a production ready architecture, but to show how to set up quickly, in your own machine, a cluster of IRIS instances configured as shard nodes, with which you'll able to play and test this functionality. If you're insterested in knowing more about sharding in IRIS, take a look at the documentation clicking here.

First and foremost, I want to remark that IRIS sharding will allow us 2 things:

• Define, load and query shard tables, which data will be distributed transparently between the cluster's nodes
• Define federated tables, which offer a global and composed view of data belonging to different tables that will be physically stored in different distributed nodes

So, as I said, we let for other article playing with shard or federated tables, and just focus now in the previous step, that is, setting up the cluster of shard nodes.

Here at InterSystems, we often deal with massive datasets of structured data. It’s not uncommon to see customers with tables spanning >100 fields and >1 billion rows, each table totaling hundred of GB of data. Now imagine joining two or three of these tables together, with a schema that wasn’t optimized for this specific use case. Just for fun, let’s say you have 10 years worth of EMR data from 20 different hospitals across your state, and you’ve been tasked with finding….

The amazing Iris-nator has arrived in town.

He knows what you think, with just a few questions he is able to guess the character you have thought of.

Do you dare?

Auditing is a critical capability ensuring the security of your server, and for quite a while ago we have included the ability to audit SQL statements run on the server.

With v2024.3 out already we're providing finer-grained options for defining these events to audit.

The "Ask Developer Community AI" tool is an excellent resource for studying for the certification. I asked it about each topic that will be covered in the test and the results are below.
Note: I classified each answer by the assertiveness that I consider as good, average and bad.

Note 2: The article has 4 parts, each one for an exam area.

Regardless of whether an instance of IRIS is in the cloud or not, high availability and disaster recovery are always important considerations. While IKO already allows for the use of NodeSelectors to enforce the scheduling of IRISCluster nodes across multiple zones, multi-region k8s clusters are generally not recommended or even supported in the major CSP's managed Kubernetes solutions. However, when discussing HA and DR for IRIS, we may want to have an async member in a completely separate region, or even in a different cloud provider altogether.