This is a demo to make use of a simple WebSocket Client with Embedded Python in IRIS.

How to Test it

• Run an Iris Session in Docker
• Select your WebSocket Echo Server
• Enter the text you want to send or generate it
• Send it and see the result

$ docker-compose exec iris iris session iris "##class(rccpy.WSockPy).Run()"

*** Welcome to WebSocket Embedded Python Demo ***

Every now and then you may encounter a situation where for various reasons
ODBC is the only option to access a remote system. Which is sufficient as long as you need to examine or change tables.
But you can't directly execute some commands or change some Global.

It seems to me that for some reason this didn't make its way to the official documentation
and seems to be rather unknown though implemented already in IRIS 2020.1

Thanks to @Dan Pasco I got a hint on the classes involved.
I used the recommended sequence of how to use it.
it is all directly taken from Class Reference and I just collected it to create a first overview.

Triggered by a question placed by @Kurro Lopez recently
I took a closer look at the indexing of collections.
My simple test setup is a serial class and a persistent class with a list of this serial.

Globals in Caché / Ensemble / IRIS are normally invisible over SQL access
This example shows how to overcome this limit.

The offer of ZPM is growing daily and the short names and
acronyms of the offer are sometimes hard to understand and
also hard to type with my lazy fingers.

So I decided to have

• a listing with the descriptions from the repository,
• split in short junks to avoid backscroll,
• controlled forward / backward scrolling,
• the option to select my packages by number,
• to install or uninstall with limited typing.

It runs with do ^zpmshow

A snapshot from the screen:

This is a sample to use %JSON.Adaptor class available in IRIS to produce a snapshot of your object.

The sample consists of 2 classes that are variations of what was known in Caché/SAMPLES as Sample.Person.
Be aware that the possibilities are limited by %JSON.Adapter and how you make use of it.

Once in place, you create some test data by Populate().
You select an object and take a snapshot.
You apply changes to your object and take another snapshot.
And see the difference.

BINGO!

t's also an example for a customized command extension (ZZJSN) in Caché & IRIS

This is the Caché version for fast JSON formatting but it also works in IRIS.
Requires package ZPretty
To allow parallel existence in IRIS this is named ZZJSN

see:

It is a classic Global Mapping exercise presenting ^SPOOL as Class / Table

Background

Device #2 named SPOOL dates back to the predecessors of Caché and IRIS
It was the first "%Stream" like option to buffer output before printing.
It is also the first and till today the most simple way of output redirection.

Solution

This is also an example of a mapped Global.
USE 2 redirects the output into the Global ^SPOOL