Globals are multidimensional sparse arrays which are stored in InterSystems Data Platform. Everything in InterSystems Products is stored in Globals: Classes, Tables, Documents, Code.
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 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.
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
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.
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:
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.
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.
This is probably far-fetched - is there a way to get notified/get a piece of code triggered whenever the state of a global changes?
Now what could I possibly want with that? Quite simple! I would like to forward the content of a global (in this case the "FSLog" global written by the FHIR implementation) while adding timestamps to it - to create some sort of file-based logging for it.
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.
In my article I described the work using iris.gref . As the official documetation is rather slim on the subject it was necessary to dig into it. Using the power of Python I was able to detect what I needed but was hidden. I decided to share this with you. pydoc did the magic.
Let's consider you would like to efficiently store your historical data in a similar structure than the one used for your current data, but without sharing the same physical storage (ie : not in the same global). What is the most efficient way to do it ?
I (really) spent hours on finding the maximum size a Global is allowed to be (for Windows, if that matters). All I seem to run into are database sizes (derived from a max number of blocks and block size), but I refuse to believe that is correct because too small to be realistic.
I will give you some additional information on my first embedded Python package. it is written as a mix of python and ObjectScript to take the best of both worlds.
I have created a package to export a Global into JSON object file and to re-create it by reloading from this file embeddedPython refers to the new available technologies. It should be understood as a learning exercise of how to handle the language interfaces. Only Global nodes containing data are presented in the generated JSON file. Differently from the previous example, this one is using embedded Python only, no ObjectScript. Therefore PURE
I have created a package to export a Global into JSON object file and to re-create it by reloading from this file embeddedPython refers to the new available technologies. It should be understood as a learning exercise of how to handle the language interfaces. Only Global nodes containing data are presented in the generated JSON file.
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.
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.
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. Academic refers to the structure created. Each logical node of the Global is presented separately with all its descendants. Even if they don't contain any stored data.
I started some development with the IRIS 2020.4 version and did not continue it for some months.
Now I just wanted to continue, but saw the license is not valid anymore.
Is there still a possibility to upgrade to 2021.2 community edition and to recover the globals from the old edition without having a valid license key?
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