Article
Chris Stewart · Feb 18, 2021 2m read
Basic JSON Compare

Hi Dev Community

I thought i would share a little method I knocked together to traverse and compare 2 JSON objects for basic equivilance.   I'm currently working on some data migration, and wanted a basic sanity check to validate that the JSON output is basically equivliant between the old and new, excluding a few things like timestamps.  

It's a basic little recurvsive method, that will bubble up any differences over a nested structure.   It's very low tech, as that's all I need it to do, but I thought it might be useful for others?

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Index to Articles

Hi All

It's been 6 weeks since my original article sad
- - - - -but I have been busy on this project smiley

I have been looking at/thinking about a replacement for ZEN for around 12 months but only really started in depth 4 months ago.
Also been in IT for long enough that I can "get a feel" for a product/technology and make decisions accordingly without going into great detail. 
Any new technology has a learning curve and I don't want to waste time and effort on something that won't fly. 
And, as always, I am looking to minimise the learning curve as I want to concentrate on delivering business benefit. 

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There are couple of options to do this.

1. You can extend your class &JSON.Adaptor, it will do it for you with inbuilt logicaldtodisplay methods

2. Create another request class and do your transformations

3. Before calling the json convert to stream methods, transform the object's field with a ZDT.

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I have an extremely simple example where there is a class with 3 properties

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QEWD is assumed by most people to only integrate with IRIS (or Cache) via a connection through IRIS's high-performance C interface.  This requires QEWD (and its Node.js environment) to be installed and configured on the same machine as IRIS.

I'm frequently asked if QEWD can run on a separate server (or servers), and access IRIS (or Cache) over a network connection.  The answer is yes it can, but the information on how to set it up in this way has been admittedly a bit tricky to discover.

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Over the past year or so, my team (Application Services at InterSystems - tasked with building and maintaining many of our internal applications, and providing tools and best practices for other departmental applications) has embarked on a journey toward building Angular/REST-based user interfaces to existing applications originally built using CSP and/or Zen. This has presented an interesting challenge that may be familiar to many of you - building out new REST APIs to existing data models and business logic.

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Developing a Full-Stack JavaScript web app with Caché requires you to bring together the right building blocks. Previously, I outlined the basic steps to install and connect Node.js to Caché and make it's powerful multi-model database capabilites available for use with Node.js. You can use Caché as a NoSQL-, document- (with unique key-level access!), SQL- and object-database with Node.js. When developing JavaScript applications, you'll see how powerful this combination is and makes Caché a perfect fit for Node.js.

In the first part of this article series I will show how to get started with the React framework, one of the most popular frameworks currently taking over front-end development. In the next parts you'll learn how to connect a basic web app to a Caché back-end.

You'll see, it's very easy to get started with this technology - you can even compare the amount of basic knowledge you need to COS because you only need to know a few basic concepts to start!

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How can you allow computers to trust one another in your absence while maintaining security and privacy?

“A Dry Martini”, he said. “One. In a deep champagne goblet.”
“Oui, monsieur.”
“Just a moment. Three measures of Gordons, one of vodka, half a measure of Kina Lillet. Shake it very well until it’s ice-cold, then add a large thin slice of lemon peel. Got it?”
"Certainly, monsieur." The barman seemed pleased with the idea.
Casino Royale, Ian Fleming, 1953


OAuth helps to separate services with user credentials from “working” databases, both physically and geographically. It thereby strengthens the protection of identification data and, if necessary, helps you comply with the requirements of countries' data protection laws.

With OAuth, you can provide the user with the ability to work safely from multiple devices at once, while "exposing" personal data to various services and applications as little as possible. You can also avoid taking on "excess" data about users of your services (i.e. you can process data in a depersonalized form).

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$LIST string format and %DynamicArray and %DynamicObject classes

IRIS, and previously Cache, contain several different ways to create a sequence containing a mixture of data values.  A data sequence that has been available for many years is the $LIST string.  Another more recent data sequence is the %DynamicArray class, which along with the %DynamicObject class, is part of the IRIS support for JSON string representation.  These two sequences involve very different tradeoffs.

$LIST String Format

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Article
Michael Smart · Oct 7, 2016 4m read
Forwarding Requests in a REST Service

One useful feature of our REST framework is the ability for a dispatch class to identify request prefixes and forward them to another dispatch class. This approach of modularizing your URL map will improve code readability, enable you to easily maintain separate versions of an interface, and provide a means to protect API calls that only certain users will be allowed to access.

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Let's imagine if you would like to write some real web application, for instance, some simple clone of medium.com. Such sort of application can be written using any different language on the backend side, or with any framework on the frontend side. So many ways to do the same application, and you can look at this project. Which offers a bunch of frontends and backends realizations for exactly the same application. And you can easily mix them, any chosen frontend should work with any backend.

Let me introduce the same application realization for InterSystems IRIS on a backend side.

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Article
Istvan Hahn · Sep 23, 2016 6m read
Creating a RESTful Service using Ensemble

This is a detailed guide to develop RESTful services using InterSystems Ensemble. The goal of this guide is to make you understanding the basic concept and building blocks of a RESTful service. The service is going to provide a very basic functionality (a “Hello world!”).

You will learn how to create required components as Ensemble classes, configure the run-time as an Ensemble Production and create a service configuration as a web application.

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This is a coding example working on Caché 2018.1.3 and IRIS 2020.2 
It will not be kept in sync with new versions 
It is also NOT serviced by InterSystems Support !

This  an example of a customized SystemFunction extension (ZZISJSON) in Caché & IRIS
This time it is  to be included in %ZLANGF00.mac

A JSON string is mostly imported from a file or over REST.
You rely on a clean and compatible structure. This is the check.

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This is a coding example working on Caché 2018.1.3 and IRIS 2020.2 
It will not be kept in sync with new versions 
It is also NOT serviced by InterSystems Support !

It is also an example of a customized command extension (ZZJSN) in Caché / Ensemble & IRIS

This is the Caché version for fast JSON formatting. But iIt also works in IRIS .  
To allow parallel existence in IRIS with the previous example this is named ZZJSN

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Wrap JSON to multi lines / Test ISJSON

   This is a coding example working on Caché 2018.1.3 and IRIS 2020.2
   It will not be kept in sync with new versions   
   It is also NOT serviced by InterSystems Support !

install and usage

Packed Pretty.xml installs routine ZPretty in any namespace.
calling $$Do^ZPretty(input,[filler],[newline]) returns a wrapped JSON string.
filler is the optional string for the indent, default = "  "
newline is optional, default = $C(13,10)
input accepts: JSON_String, JSON_Stream, %DynamicAbstractObject

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Article
Robert Cemper · Jun 25, 2020 12m read
Backport %JSON.* to Caché

Attention:

This is a coding example working on Caché 2018.1.3
It will not be kept in sync with new versions 
It is also NOT serviced by InterSystems Support !

Full backport from IRIS for Windows (x86-64) 2020.1 (Build 215U) Mon Mar 30 2020 20:14:33 EDT

IRIS brought us an excellent %JSON.Package
It is an essential component of the Project Manager (ZPM)
This backport makes it available also in Caché and builds a base to eventually backport also ZPM.

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Article
Sabit Issakhan · Jun 8, 2020 1m read
Convert XML to JSON

Hello everyone! 

I have had problem with XML format in Cache Object Script, it was diffucult to parse XML format,

So i decided to convert XML to JSON and parse json easily

So for that i wrote code in java which convert xml to json and build package with maven

Anyone interested can download jar file and see the instructions at the link:

https://github.com/Sabit2092/xmlToJsonCache
 

 

 

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Article
Oleh Dontsov · Jun 4, 2020 1m read
Easy data import into IRIS

Sometimes you need quickly and easily import data into IRIS. For this, an IRIS import manager has been developed.

This application allows you to import JSON data and also provides a really simple interface for transferring data from MongoDB collections to IRIS globals. It has never been so easy.

Let's look at examples.

Import JSON

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Article
Peter Cooper · Mar 18, 2018 1m read
Replacing ZEN - Index to articles

Hi All
This is the index to a series of articles I hope to create over the coming months.

ZEN and ZEN Mojo are no longer being actively developed by Intesystems - this is a great shame as it is a fine product that works so well for business applications.
However ZEN is a 15 year old product and I need a path forward to replace the ZEN UI with a supported development framework.

This article is an index of the other articles I have, or plan to write. - the articles will be subject to change as I develop my thoughts and climb the learning curve.

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Article
Pravin Barton · May 1, 2020 1m read
Code sample to concatenate JSON arrays

ObjectScript doesn't include any built-in method for appending one JSON dynamic array to another. Here's a code snippet I use that's equivalent to the JavaScript concat() method.

Call it with any number of arguments to concatenate them into a new array. If an argument is a dynamic array, its elements will be added. Otherwise the argument itself will be added.

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As you know in Caché / IRIS you have the possibility to define a property as Multidimensional as documented here:
https://docs.intersystems.com/iris20201/csp/docbook/DocBook.UI.Page.cls?KEY=GOBJ_proplit#GOBJ_proplit_multidim
and the explanation of how to use it
https://docs.intersystems.com/iris20201/csp/docbook/Doc.View.cls?KEY=GOBJ_proplit#GOBJ_proplit_multidim_values

Though the access is quite comfortable (in traditional COS sense) there are 2 main restrictions that hurt:

#1) It is not saved to disk unless your application includes code to save it specifically.
#2) It cannot be stored in or exposed through SQL tables
   there are some more
I'll show how to overcome these limits

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Article
Oliver Wilms · Apr 24, 2020 2m read
REST for Tasks on my Status Report

I enjoy the challenge of being in a contest. Currently I participate in InterSystems IRIS with REST API Programming Contest. My idea for this contest was to create an app to help me keep track of tasks for my Status Reports. I started with the template provided by Evgeny Shvarov. I created a persistent class for Tasks and a REST Dispatch class. I defined my URL map and I even figured out how to test my REST app using Postman.

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Full-Stack JavaScript development allows you to create state-of-the-art applications with Caché. With any (web) app you build nowadays, one has to make a lot of architectural decisions and you want to make the right ones. With the Node.js connector available for Caché, you can create a very powerful server side application server, allowing you to use the latest JavaScript technology and frameworks client- and server-side.

With all these new technologies, the most important is to integrate them in the most efficient way and to create a very productive development experience. This article willl get you started step-by-step with Node.js technology.

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There are several options how to deliver user interface(UI) for DeepSee BI solutions. The most common approaches are:

  • use native DeepSee Dashboards, get web UI in Zen and deliver it in your web apps.
  • use DeepSee REST API, get and build your own UI widgets and dashboards.

The 1st approach is good because of the possibility to build BI dashboards without coding relatively fast, but you are limited with preset widgets library which is expandable but with a lot of development efforts.

The 2nd provides you the way to use any comprehensive js framework (D3, Highcharts, etc) to visualize your DeepSee data, but you need to code widgets and dashboards on your own.

Today I want to tell you about yet another approach which combines both listed above and provides Angular based web UI for DeepSee Dashboards -  DeepSee Web library.

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