Hi all!

In this article I would like to review those VS Code extensions which I use myself to work with InterSystems and which make my work much more convenient. I am sure this article will be useful for those who are just starting their journey to learn InterSystems technologies. However, I also hope that this article could be useful for experienced developers with many years of experience and open up new possibilities for them when using VS Code for development.

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The title of the contest subject is not quite precise but addresses the %Library.classes involved.
What is meant is officially named Class Query and is dating back to the early days of Caché.
CLASS is used because it is embedded in a COS class.
Though there is a precise description in the official documentation it remains rather abstract.
My tutorial should guide you step-by-step through a simple example in COS to make it tangible to you

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Robert Cemper · Mar 2 4m read
Tutorial - Streams in Pieces

This tutorial is a follow on to Working with %Query
It was displaying the content of the input stream chopped in fixed-size chunks.
But often those streams are structured and have well-defined separators (e.g HL7)
So as a side subject of this tutorial, this chapter shows how to break a stream into PIECES.

It is exactly the same idea as the $PIECE() function for strings with some add-ons.

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This article is intended to be a simple tutorial on how to create ODBC connections and working with them, since I found starting with them a little bit confused, but I had amazing people to take my hand and walk me through it, and I think everyone deserves that kind of help too.
I'm going to divide each little part in sections, so feel free to jump to the one you feel the need to, although I recommend reading everything.

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My previous article introduced you to SQL based Basic Class Query
where a clever wizard created all the required code for you and your essential
contribution was an SQL statement.

Now we enter the real Custom Class Query that provides more freedom but
requires a deeper understanding of the mechanic behind the scene.
The full code example is again on GitHub

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