Globals are multidimensional sparse arrays which are stored in InterSystems Data Platform. Everything in InterSystems Products is stored in Globals: Classes, Tables, Documents, Code.
The power of the presented tool becomes visible with a large JSON file. The example I have prepared is composed of the daily results of AoC 2023. Anonymization makes it usable for demo purposes.
The similarity between JSON objects + arrays and Globals in IRIS or Caché is evident. With small and medium size JSON objects navigation across %Dynamic Objects is comfortable. But with large and/or deep cascaded objects it becomes a challenge.
The presented tool offers 3 variants
loading an already existing %Dyamic object or Array into a global of your choice
loading a %Stream containing a JSON object into a global of your choice
loading an external File containing a JSON object into a global of your choice
is there anything special to consider when running a foundation production regarding purge jobs (Ens.Util.Tasks.Purge)? I am thinking specifically of the QuickStreams, which according to my information are stored in a temporary database until the system is restarted. Since a system reboot is much less frequent then the purges, I wonder what happens to the QuickStreams whose messages and headers have already been purged. Is there a way to view Quickstreams (not content, but rather metadata) e.g. via the Management Portal?
In this article, I will introduce Python Flask Web Framework. Together we will create a minimal web application to connect to IRIS and get data from it.
Below you can find the steps we will need to follow:
Step 1 : Introduction to Python Flask Web Framework
Step 2 : Installation of Flask module
Step 3 : Creation of web application using Flask
Step 4 : Use of HTML Templates
Step 5 : Installation of IRIS Python Native module
Step 6 : Establishment of a connection with IRIS
Step 7 : Transferring data from IRIS to Flask and displaying it
So Let's start with step 1
Step1-Introduction to Python Flask Web Framework
Flask is a small and lightweight Python web framework that provides useful tools and features that make creating web applications in Python easier. It gives developers flexibility and is a more accessible framework for new developers since it allows to build a web application quickly using only a single Python file. Flask is also extensible and doesn’t requires a particular directory structure or complicated boilerplate code before getting started.
In this article you will have access to the curated base of articles from the InterSystems Developer Community of the most relevant topics to learning InterSystems IRIS. Find top published articles ranked by Machine Learning, Embedded Python, JSON, API and REST Applications, Manage and Configure InterSystems Environments, Docker and Cloud, VSCode, SQL, Analytics/BI, Globals, Security, DevOps, Interoperability, Native API. Learn and Enjoy!
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.
You may have seen my series of articles on GlobalToJSON closing with Embedded Python. And to me, Embedded means inside a Class and not PEX or other external variants. The first variants showed that ePy is not an ultimate requirement. ISOS/COS may do it as well. Here I try to position ePy inside IRIS.
This package offers a utility to export an XLarge Global into a JSON object file and to show or import it again. In a previous example, this all was processed in memory. But if this is a large Global you may either experience <MAXSTRING> or an <STORE> error if the generated JSON structure exceeds available memory.
I have number of hosts on an Ensemble production that are not updating the %LastActivity property in the
^CacheTemp.EnsHostMonitor global. This in return create an issue with our dashboard software which is showing wrong results even as the host is processing messages without issues.
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
I have created a package that offers a utility to load a Global into JSON object and reverse to create a Global from this type of JSON object. Compact refers to the structure created. Globals nodes are included with data for a fast data load. But also the related code is quite compact.
Learn about InterSystems globals, the data model native to InterSystems IRIS® data platform that makes data storing efficient and provides the flexibility your data needs:
https://www.youtube.com/embed/b8muossBdKo [This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]
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