Motivation

This project was thought of when I was thinking of how to let Python code deal naturally with the scalable storage and efficient retrieving mechanism given by IRIS globals, through Embedded Python.

My initial idea was to create a kind of Python dictionary implementation using globals, but soon I realized that I should deal with object abstraction first.

So, I started creating some Python classes that could wrap Python objects, storing and retrieving their data in globals, i.e., serializing and deserializing Python objects in IRIS globals.

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Article
Yuri Marx · Apr 4 12m read
Store Mindmaps using Globals

  

Globals are the core of the InterSystems IRIS for data persistence. It is flexible, allowing store JSON documents, relational data, object oriented data, OLAP cubes and custom data models, like Mindmaps. To see how to store, delete and get mindmap data using globals, follow these steps:

1. Clone/git pull the repo into any local directory

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Article
Yuri Marx · Mar 30 9m read
3DES support

There are several ways of classifying cryptographic algorithms: 1) Secret Key Cryptography (SKC) - Uses a single key for both encryption and decryption. It is also called symmetric encryption. Primarily, it was used for privacy and confidentiality; 2) Public Key Cryptography (PKC) - Uses one key for encryption and another one for decryption. It is also called asymmetric encryption.

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What is Selective Build?

Selective Build is a BI feature in InterSystems IRIS (introduced in version 2020.1). Selective Build allows you to build specific elements of your cube while keeping your cube online.

What is special about Selective Build?

Before getting into the details of Selective Build, a brief recap of the different phases during a regular cube build is important. Here are the phases in a regular cube build:
1) Delete existing data in cube
2) Populate cube with full set of data
3) Build all indices in the cube

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This example demonstrates the difference you may experience when you write to
Gllobals directly from Embedded Python compared to native ObjectScript.

To make this demo useful I start 2 background jobs that simply write sequentially
to a dedicated global. A common control method signals for a synchronous start.
Similar a common stop & view interrupts data feeding.

That's the principle process:

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This is the fourth part of the series of articles on migrating from the main databases on the market to InterSystems IRIS. In this part, the procedures for migrating from Microsoft SQL Server will be detailed. As described in previous articles, there are currently a few options to do the migration, but the two most popular options include the use of DBeaver (https://openexchange.intersystems.com/package/DBeaver) or SQLGateway.

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This is the third part of the series of articles on migrating from the main databases on the market to InterSystems IRIS. In this part, the procedures for migrating from DB2 will be detailed.As described in previous articles, there are currently a few options to do the migration. However, the two most popular options include the usage of DBeaver (https://openexchange.intersystems.com/package/DBeaver) or SQLGateway.

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Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.  

Wikipedia

FaaS is an extremely popular approach to running workloads in the cloud, allowing developers to focus on writing code.

This article will show you how to deploy InterSystems IRIS methods in a FaaS way.

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Time travel is like visiting Paris. You can't just read the guide, you have to throw yourself into it. Eat the food, use the wrong verbs, get double the charges, and end up kissing complete strangers.

The Doctor

We are now going to travel through time, that is, we are going to see future and past dates and how to calculate them in different formats. The TARDIS doesn't wait, take the controls and hold on tight.

Travel in TARDIS

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Good men don’t need rules.

The Doctor.

It's not an easy task to be a master of dates and times, it is always a problem and sometimes confusing in any programming language, we are going to clarify and put a few tips to make this task as simple as possible.

Get on the TARDIS and I'm going to turn you into a Time lord

Tardis

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Article
Evgeniy Potapov · Feb 27 2m read
Dash-Python-IRIS

We are happy to share interesting information with you, as well as tell you why Python is good, where it is used.

Among the most used libraries are NumPy and Pandas. NumPy (Numerical Python) is used to sort large datasets. It simplifies mathematical operations and their vectorization on arrays. Pandas offers two data structures: Series (a list of elements) and Data Frames (a table with multiple columns). This library converts data into a Data Frame, allowing you to remove and add new columns, as well as perform various operations.

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