Article
· Jul 30, 2022 5m read
Introduction to Django part 3

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

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.

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Why I decided to write this

Recently I had the challenge to create a secure authentication method to authorize access to some data, but unfortunately I had zero experience with those security configurations and I felt that I was missing some basic concepts to have a better understanding of the official documentation.

After studying and managing to deliver the classes that I was asked to develop, I'd like to share a little bit of my new knowledge, which helped me follow the topics in the documentation.

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Introduction

InterSystems would like to optimize IRIS to take advantage of modern CPU instruction set extensions. That’s great for product performance, but how do you know if your CPU will still be supported for new IRIS builds? Here’s how to know your CPU’s microarchitecture family as well as how to find out your CPU’s specific instruction set extensions.

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In our previous article we presented the general concepts as well as the problem that we wanted to solve by using the task engine integrated in InterSystems IRIS, in today's article we will see how we configure an interoperability production to provide a solution.

Workflow Engine Configuration

First we are going to define the roles of the tasks that we are going to manage, in our example we are going to define two types:

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Data Analysis

This is the sequel to Data Collection. If you have not had a chance to go through and install that you should first do that.

What is provided here is the analysis for the collection of that data that was collected earlier.

In much the same way as was done in that repository you will need to import the xml that makes up this repository.

Starting at the topmost level there is a task:

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The rise of Big Data projects, real-time self-service analytics, online query services, and social networks, among others, have enabled scenarios for massive and high-performance data queries. In response to this challenge, MPP (massively parallel processing database) technology was created, and it quickly established itself. Among the open-source MPP options, Presto (https://prestodb.io/) is the best-known option. It originated in Facebook and was utilized for data analytics, but later became open-sourced.

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Hi beloved members of the Community!

It is very common in the daily life of IRIS or Health Connect users that it is necessary to install new instances or update the ones they already have and in many cases it is not these same users who carry out the installation, but rather systems personnel who often do not take into account the particularities of the assignment of permissions necessary for the installation.

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Parallel query hinting boosts certain query performances on multi-processor systems via parallel processing. The SQL optimizer determines when this is beneficial. On single-processor systems, this hint has no effect.

Parallel processing can be managed by:

  1. Setting the auto parallel option system-wide.
  2. Using the %PARALLEL keyword in the FROM clause of specific queries.

%PARALLEL is ignored when it applied to:

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Often InterSystems technology architect team is asked about recommended storage arrays or storage technologies. To provide this information to a wider audience as reference, a new series is started to provide some of the results we have encountered with various storage technologies. As a general recommendation, all-flash storage is highly recommended with all InterSystems products to provide the lowest latency and predictable IOPS capabilities.

The first in the series was the most recently tested Netapp AFF A300 storage array. This is middle-tier type storage array with several higher models above it. This specific A300 model is capable of supporting a minimal configuration of only a few drives to hundreds of drives per HA pair, and also capable of being clustered with multiple controller pairs for tens of PB's of disk capacity and hundreds of thousands of IOPS or higher.

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This code snippet uses %ZEN.Auxiliary.jsonSQLProvider. The namespace and string of SQL can be edited for different situations. The class method "test" runs the code:


Class eduardlebedyuk.passQuestionParams
{
    classmethod test(pValue = 50) {
        s ns = $Namespace
        zn "samples"
        s tSQL = "SELECT ID, Name FROM Sample.Person WHERE Id > ?"
        s tPR = ##class(%ZEN.Auxiliary.jsonSQLProvider).%New()
        s tPR.sql = tSQL
        s tPR.%Format = "tw"
        s tPR.maxRows = 100
     
        s tParam = ##class(%ZEN.Auxiliary.parameter).%New()
        s tParam.value = pValue
        d tPR.parameters.SetAt(tParam,1)
      
        d tPR.%DrawJSON() 
        //d ##class(%ZEN.Auxiliary.jsonSQLProvider).%WriteJSONFromSQL(,,,,,tPR)  //same thing
        zn ns
    }
}

(Originally posted to Intersystems CODE by @Eduard Lebedyuk, 5/13/15)

Here's a link to the code on GitHub

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Article
· Feb 8, 2019 2m read
Client Websockets based CSP

The Caché / Ensemble standard distribution contains in namespace SAMPLES
a nice example of a CSP page consuming WebService as a Client.
I have modified it not only to display the replies but to feed them back into a Global.
I used the classic Hyperevent to achieve this. The replies end up as a log in global^WSREPLY.
When there is no input anymore the page closes and goes away.

There are 2 versions with visible and hidden display during operation.
dc.WSCSP.reverseVerbose.cls and dc.WSCSP.reverseHidden.cls

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Article
· Mar 31, 2019 20m read
How to write the home address right?

How Tax Service, OpenStreetMap, and InterSystems IRIS
could help developers get clean addresses

Pieter Brueghel the Younger, Paying the Tax (The Tax Collector), 1640

In my previous article, we just skimmed the surface of objects. Let's continue our reconnaissance. Today's topic is a tough one. It's not quite BIG DATA, but it's still the data not easy to work with: we're talking about fairly large amounts of data. It won't all fit into RAM at once, and some of it won't even fit on the drive (not due to lack of space, but because there's a lot of junk). The name of our subject is FIAS DB: the Federal Information Address System database - the databases of addresses in Russia. The archive is 5.5 GB. And it's a compressed XML file. After extraction, it will be a full 53 GB (set aside 110 GB for extraction). And when you start to parse and convert it, that 110 GB won't be enough. There won't be enough RAM either.

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¡Hi everybody!

As you likely are aware, the new version of InterSystems IRIS for Health (I4H) it's already available in Docker Hub. It's the Community version and is free and fully functional. There have been comments about it in other articles and posts,... so today I won't add anything about features. Here I want to explore "the mistery about the disappearance, or better, absence of our persistent data when we run a container with the durable option" (I didn't find a terrifying font to emphasize the thriller... post editor is not terrific for styling smiley ) .

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Have you ever needed a math function but could not find what you needed and ended up writing your own? Look no further! ObjectScript-Math is here to solve all your math related function needs.

ObjectScript-Math is an Open Source library for ObjectScript Math functions. It is now available on Open Exchange. This library contains a mix of new functions that are not currently available and functions that are available. The existing functions will be wrapped for use from ObjectScript-Math so that all Math functions can have a central location.

This library will continue to grow, so give it a try and give your feedback!

Don't see what you are looking for? Please feel free to submit requests for additional functions or contribute code yourself!

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Article
· Jun 18, 2020 1m read
Debugging Business Operations

Often we need to debug a Business Operation. Tracing and logging work but sometimes you want to work with a BO as with your local terminal session.

Here's how you can do that on any operating system.

Windows has a great tool for debugging Business Operations - Foreground mode. In that mode Windows launches a local terminal with operation job.

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As you probably know, InterSystems IRIS has a mechanism for auto-generating methods. So, when you create an index in a class, you create methods that make your work easier. There is also a good article on Community that describes such methods.

Take, for example, IndexNameOpen(val), where IndexName is the name of the corresponding index. This method returns an object in which the value of this index corresponds to the value of val.

But this method is available only for unique indexes.

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