Article
· Jul 21, 2020 1m read
Snapshot to JSON

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!

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Article
· Jul 20, 2020 1m read
Fast JSON formatting (IRIS)

t's also an example for a customized command extension (ZZJSON) in IRIS

IRIS has a nice %JSON.Formatter class.
But for debugging it is not really handy.
see:

ZWRITE js1  
js1="{""Name"":""Cunningham,John C."",""SSN"":""294-11-9150"",""DOB"":""1933-01-08"",""Home"":{""Street"":""4249 Ash Street"",""City"":""Tampa"",""State"":""MD"",""Zip"":""30176""},""FavoriteColors"":\[""White"",""Red"",""Green""]}"

so you proceed for the most simple case

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Article
· Jul 20, 2020 1m read
IRIS NativeAPI for Node.js compact

An all-in-1 package of the WebSocket MicroService Demo

To simplify the demo of the WebSocket-Micro-Server (WSockClientMicroSV)
the whole package is now bundled into a single Docker Image

How to use it

From the same terminal start the IRIS based client and prepare your orders

  docker-compose exec iris iris session iris %ZSocket

on WebTerminal it is simply

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Article
· Jul 20, 2020 2m read
SPOOL as SQL Table

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

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Article
· Jul 19, 2020 1m read
Organize ZLANG

The guide “Extending Languages with %ZLANG Routines”
Tells you all details you need to know to extend your programming language.
EXCEPT: How to do it in a clean way.

This example of a %ZLANGC00.mac may show a possible approach
to get an easy to overview and to manage setup.
With less than 50 lines of code you might not be affected.
But if your Studio shows close to 1000 rows or more you may get in troubles.

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This is the third post of a series explaining how to create an end-to-end Machine Learning system.

Training a Machine Learning Model

When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline?
Training could mean all the development process of a machine learning model OR the specific point in all development process
that uses training data and results in a machine learning model.

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This is the second post of a series explaining how to create an end-to-end Machine Learning system.

Exploring Data

The InterSystems IRIS already has what we need to explore the data: an SQL Engine! For people who used to explore data in
csv or text files this could help to accelerate this step. Basically we explore all the data to understand the intersection
(joins) which should help to create a dataset prepared to be used by a machine learning algorithm.

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As you probably know, InterSystems IRIS has a mechanism for auto-generating methods. So, when you create an index in a class, you create methods that make your work easier. There is also a good article on Community that describes such methods.

Take, for example, IndexNameOpen(val), where IndexName is the name of the corresponding index. This method returns an object in which the value of this index corresponds to the value of val.

But this method is available only for unique indexes.

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A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

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Hi All,

With this article, I would like to show you how easily and dynamically System Alerting and Monitoring (or SAM for short) can be configured. The use case could be that of a fast and agile CI/CD provisioning pipeline where you want to run your unit-tests but also stress-tests and you would want to quickly be able to see if those tests are successful or how they are stressing the systems and your application (the InterSystems IRIS backend SAM API is extendable for your APM implementation).

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This is my introduction to a series of posts explaining how to create an end-to-end Machine Learning system.

Starting with one problem

Our IRIS Development Community has several posts without tags or wrong tagged. As the posts keep growing the organization
of each tag and the experience of any community member browsing the subjects tends to decrease.

First solutions in mind

We can think some usual solutions for this scenario, like:

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Currently, the process of using machine learning is difficult and requires excessive consumption of data scientist services. AutoML technology was created to assist organizations in reducing this complexity and the dependence on specialized ML personnel.

AutoML allows the user to point to a data set, select the subject of interest (feature) and set the variables that affect the subject (labels). From there, the user informs the model name and then creates his predictive or data classification model based on machine learning.

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Article
· Jul 8, 2020 7m read
Tips for debugging with %Status

Introduction

If you're solving complex problems in ObjectScript, you probably have a lot of code that works with %Status values. If you have interacted with persistent classes from an object perspective (%Save, %OpenId, etc.), you have almost certainly seen them. A %Status provides a wrapper around a localizable error message in InterSystems' platforms. An OK status ($$$OK) is just equal to 1, whereas a bad status ($$$ERROR(errorcode,arguments...)) is represented as a 0 followed by a space followed by a $ListBuild list with structured information about the error. $System.Status (see class reference) provides several handy APIs for working with %Status values; the class reference is helpful and I won't bother duplicating it here. There have been a few other useful articles/questions on the topic as well (see links at the end). My focus in this article will be on a few debugging tricks techniques rather than coding best practices (again, if you're looking for those, see links at the end).

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Article
· Jul 4, 2020 4m read
Editor Archaeology

During the development of the Terminal Multi-Line Command Editor I discovered in my IRIS installation
a piece of software that I just can classify as a historic artifact. And it is still fully operational !!!

As it dates back to times before InterSystems was founded in 1978 you may understand my surprise.
I personally stepped into that environment in 1978 and used it then for daily work.

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Article
· Jul 4, 2020 2m read
Terminal Multi-Line Command Editor

The Command extension enables the execution of Multi-Line Commands from Terminal prompt.

Terminal Multi-Line Input with Edit, Insert, Delete, Print extension for IRIS and Caché
IRIS and Caché have just single command lines in terminal available
This Multi-Line Commands Editor also will execute the Multi-line Commands.
In addition, it is independent of access to %SYS and can be installed in any namespace

Special thanks to @Jeffrey Drumm who inspired me to this and supported me as beta-tester.

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Article
· Jun 30, 2020 3m read
Replicating Audit Log Near Real Time
Many organisations implement centralised log management systems to separate and centralise the log data in order to e.g. automate threat detection (and response) and to comply with regulatory requirements. The primary systems of interest are the various user facing applications, but increasingly also other kinds of systems including integration platforms.
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Article
· Jun 29, 2020 3m read
Terminal Multi-Line Option


The Command extension enables the execution of Multi-Line Commands from Terminal prompt.

Installation & Execution

Import %ZML.xml to Namespace %SYS

Optionally you may add this line to your %ZLANGC00.mac for a simplified use:

ZML do ^%zml quit  ; add multi line command in terminal

and
USER>zml

otherwise, just call it from the terminal command prompt

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Using SOAP Web Services or REST API Resources, if you want to deliver strategic digital assets for your organization, SOA aproach is an excellent option. The InterSystems IRIS supports like a charm the SOA principles with Contract First technique to model services aligned with the business, and create the services from the service contracts (Open API or WSDL).

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Now available on Open Exchange is a library of third party charts available to use within DeepSee/InterSystems IRIS BI dashboards. To start, simply download and install, select the new portlet as the widget type, then select the chart type that you desire. If you don't find the type of chart you are looking for, you can easily extend the portlet to implement your desired chart type. These new chart types can be used within existing dashboards or you can create new dashboards using them.

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Article
· Jun 25, 2020 12m read
Backport %JSON.* to Caché

Attention:

This is a coding example working on Caché 2018.1.3
It will not be kept in sync with new versions 
It is also NOT serviced by InterSystems Support !

Full backport from IRIS for Windows (x86-64) 2020.1 (Build 215U) Mon Mar 30 2020 20:14:33 EDT

IRIS brought us an excellent %JSON.Package
It is an essential component of the Project Manager (ZPM)
This backport makes it available also in Caché and builds a base to eventually backport also ZPM.

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