Globals are multidimensional sparse arrays which are stored in InterSystems Data Platform. Everything in InterSystems Products is stored in Globals: Classes, Tables, Documents, Code.
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.
M:N Relationship is a recurring object of my interest for a long time. So the subject turns up with me repeatedly. For this article, I found a nice example with TWO separate M:N relationships. Some M:N².
It is not pure fiction but taken from a closer view of OEX Contests that we run on a regular base.
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:
In this webinar, we’ll show you how to deal with Globals to implement different data models and sophisticated indexes. As always, our experts will answer the questions on how to develop, build, and deploy Globals solutions using InterSystems IRIS.
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. Efficient refers to the structure created. Only Globals nodes containing data are presented in the generated JSON object.
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.
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