This is the second article in a series on iKnow demo applications, showcasing how the concepts and context provided through iKnow's unique bottom-up approach can be used to implement relevant use cases and help users be more productive in their daily tasks. Last week's article discussed the Knowledge Portal, a straightforward tool to browse iKnow indexing results.

This week, we'll look into the Set Analysis demo, a slightly more advanced application where you'll be using the concepts identified by iKnow to organize your content into sets of documents. The original version of this demo was developed by Danny Wijnschenk & Alain Houf for an academy session at GS2015, but the app has evolved significantly since then.

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Article
· Sep 10, 2020 3m read
How To Create "Write-Only" Code

One of the leading benefits of ObjectScript is the speed and efficiency it allows for an experienced developer. Let's look at an example of how you can benefit from ObjectScript today.

Suppose you have a class that stores the names of your users. We'll call the class Data.User, and give it a string property Name. Next, we will need a method to create a new user or update an existing one. A naive, simplistic approach might look like this example:

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Article
· Oct 11, 2022 2m read
ZPM Simple Implementation Cookbook

ZPM is designed to work with applications and modules for InterSystems IRIS Data Platform. It consists of two components, the ZPN Client which is a CLI to manage modules, and The Registry which is a database of modules and meta-information. We can use ZPM to search, install, upgrade, remove and publish modules. With ZPM you can install ObjectScript classes, Frontend applications, Interoperability productions, IRIS BI solutions, IRIS Datasets or any files such as Embedded Python wheels.

Today this cookbook will go through 3 sections:

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Article
· Jan 22 2m read
Getting JSON from SQL

Did you know that you can get JSON data directly from your SQL tables?

Let me introduce you to 2 useful SQL functions that are used to retrieve JSON data from SQL queries - JSON_ARRAY and JSON_OBJECT.
You can use those functions in the SELECT statement with other types of select items, and they can be specified in other locations where an SQL function can be used, such as in a WHERE clause

The JSON_ARRAY function takes a comma-separated list of expressions and returns a JSON array containing those values.

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Some weeks ago, I was reading a book by Stephen Hawking and Leonard Mlodinow, The Grand Design. At a certain point, trying to define why do we exist? , why do we use the models we use in physics?, ...those kind of things you know... they pointed at the Game of Life example invented by the mathematician John Coward in 1970... Basically he wanted to show that a system with really basic fundamental laws (Physics) could evolve and "live" to become a more complex system (Chemistry) in which "something" (humans) could work out its own model and complex rules to explain its reality… the rules for this deterministic model that he exposed were so basic that I thought it could be funny to implement them in ObjectScript when I had some spare time... there are others implementations in JavaScript and other languages... but not in ObjectScript... and that had to be corrected!!… so here you are!

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Article
· Nov 26, 2021 13m read
Traditional Debugging in ObjectScript

Finding errors in your code or examining unexpected behavior is the main purpose of Debugging
I will try to refresh the traditional tools away from the helpers you have in Studio, VScode, Serenji, ....
to the basics which have been there before your preferred EDI used it in the background.

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Hello,

This package may be of interest...

Link: https://github.com/litesolutions/cachedb-import

I have programmed this over a hunch, in order to facilitate the retrieval of source code from a Caché installation. It makes use of the Java API provided by Caché.

Right now, I use it as a means to salvage sources in order to analyze them using the SonarQube plugin I develop for my employer. Unfortunately this plugin is not open source.

I am calling for help here, on two fronts:

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In the last post we scheduled 24-hour collections of performance metrics using pButtons. In this post we are going to be looking at a few of the key metrics that are being collected and how they relate to the underlying system hardware. We will also start to explore the relationship between Caché (or any of the InterSystems Data Platforms) metrics and system metrics. And how you can use these metrics to understand the daily beat rate of your systems and diagnose performance problems.

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Article
· Mar 31, 2018 1m read
What Are You Using For Issue Tracking?

Hi, Community!

What is your favorite issue tracking system for projects with InterSystems Data Platform? What did you use and what are you using now?

In projects with InterSystems Data Platform, I worked with Redmine, JIRA, Trello. A lot of code versioning systems now have this feature too (Gitlab, Github).

Now my favorite for small and medium projects is Github, because it is simple, is very close to code (commit-issue linkage) and it has kanban).

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Hi Community!

I think everyone keeps the source code of the project in the repository nowadays: Github, GitLab, bitbucket, etc. Same for InterSystems IRIS projects check any on Open Exchange.

What do we do every time when start or continue working with a certain repository with InterSystems Data Platform?

We need a local InterSystems IRIS machine, have the environment for the project set up and the source code imported.

So every developer performs the following:

  1. Check out the code from repo
  2. Install/Run local IRIS installation
  3. Create a new namespace/database for a project
  4. Import the code into this new namespace
  5. Setup all the rest environment
  6. Start/continue coding the project

If you dockerize your repository this steps line could be shortened to this 3 steps:

  1. Check out the code from repo
  2. Run docker-compose build
  3. Start/continue coding the project

Profit - no any hands-on for 3-4-5 steps which could take minutes and bring head ache sometime.

You can dockerize (almost) any your InterSystems repo with a few following steps. Let’s go!

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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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Article
· Jun 12, 2023 11m read
Examples to work with IRIS from Django

Introducing Django

Django is a web framework designed to develop servers and APIs, and deal with databases in a fast, scalable, and secure way. To assure that, Django provides tools not only to create the skeleton of the code but also to update it without worries. It allows developers to see changes almost live, correct mistakes with the debug tool, and treat security with ease.

To understand how Django works, let’s take a look at the image:

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Article
· Dec 22, 2015 1m read
Sign and verify in SMIME format

In some project, I found the need to use SMIME format https://www.ietf.org/rfc/rfc3851.txt, basically is an standard used to wrap a message together with its signature using a certificate (usually X509). Ensemble don't have a single class to do that but inside the Ensemble installation we have the openssl utility, so in this example I use the "openssl smime" command to sign or verify a message.

The example has two Business Process that able to sign or verify and in order to test I made a simple production.

Hope this helps

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This week I am going to look at CPU, one of the primary hardware food groups :) A customer asked me to advise on the following scenario; Their production servers are approaching end of life and its time for a hardware refresh. They are also thinking of consolidating servers by virtualising and want to right-size capacity either bare-metal or virtualized. Today we will look at CPU, in later posts I will explain the approach for right-sizing other key food groups - memory and IO.

So the questions are:

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The following steps show you how to display a sample list of metrics available from the /api/monitor service.

In the last post, I gave an overview of the service that exposes IRIS metrics in Prometheus format. The post shows how to set up and run IRIS preview release 2019.4 in a container and then list the metrics.


This post assumes you have Docker installed. If not, go and do that now for your platform :)

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Hi Developers!

Often I find questions on how to install IRIS, connect to IRIS from IDE, setup the environment, compile, debug, maintain the repository.

Here below possibly the shortest way to set up all the environment and start development with ObjectScript on InterSystems IRIS.

Prerequisites

Make sure you have Git, Docker, and VSCode installed

Install Docker and ObjectScript extensions into VSCode

Sign in or Create an account on Github

Here we go!

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