Continuing to observe the possibilities of Django, and usage with IRIS. The first we have looked how to define models and connect to tables already existing in IRIS, than we extended embedded Django Administration portal, with an ability to see what data we have in that models, with filters, editing and even pagination.

Time to go to real action, now we a going to create some REST API, on Django, based on the same data, we used before from the package posts-and-tags.

To do so, we will use Django REST Framework

Django REST framework is a powerful and flexible toolkit for building Web APIs.

Some reasons you might want to use REST framework:

• The Web browsable API is a huge usability win for your developers.
• Authentication policies including packages for OAuth1a and OAuth2.
• Serialization that supports both ORM and non-ORM data sources.
• Customizable all the way down - just use regular function-based views if you don't need the more powerful features.
• Extensive documentation, and great community support.
• Used and trusted by internationally recognised companies including Mozilla, Red Hat, Heroku, and Eventbrite.

Some time ago I introduced a new driver for Django for IRIS. Now, let's see how to use Django with IRIS in practice.

Very recently Docker showed a very new feature added to their Docker Desktop tool. It was a good way to start using Docker on macOS and Windows, and they also released the same tool for Linux as well. And new feature Extensions add an ability to extend this GUI application with some extra abilities from extensions.

With the latest improvements in support for Python in IRIS, and continued work on Python DB-API support by InterSystems. I've implemented IRIS support to the Django project where is Python DB-API is used to work with some other databases.

Let's try a simple application on Django, which stores its data in IRIS.

Hi, I’m recently decided to stay for some months in Dubai. And looking for new opportunities here, as well as even would like to meet in person with local people who works with InterSystems. I can share my knowledge and experience. What do you think? Do we have somebody from Dubai, or other from other parts of UAE?

How to check if the password is strong enough, so it will not be cracked very fast? And how to make a strong password?

I've developed a tool that may help with this. You can find it on OpenExchange. Install it with zpm

zpm "install passwords-tool"

This module will install just one class caretdev.Passwords, which contains a few helpful methods in it

Previously I have already tried to play with Google Data Studio when I connected it to InterSystems FHIRaaS. It has quite a nice UI, with a few chart types available out of the box, it can be quite easily connected to some plain tables (stored as CSV or JSON, for instance), and gives the ability to build quite flexible analytics over it. So, I have decided to implement a new connector to InterSystems Analytics (DeepSee), with the ability to select a cube and do some queries on it.

Found one interesting behaviour in one system with Ensemble. Some Request class has a property with type %XML.CharacterStream by design, this class is the heaviest request in the system, and with profiling journal files, it got about 40% of the file. When I counted all the sizes of such streams per one day and found that the real stored data is three times less.

I have some system with heavy production. There are about 500GB of journals daily. And I'm looking at the ways, how to decrease the amount of data that appeared there.

I found no way, on how to split have the journal separately for mirroring databases and for others. So, I'm thinking about moving some of the globals to CACHETEMP. So, they will disappear from journals. So, thinking about Ens.* globals, I have about 30% of data in journals just for such data. Which production data can be safely moved to CACHETEMP, with no issues for mirroring?