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Introduction

We are in the age of the multiplatform economy and APIs are the "glue" in this digital scenario. Since they are so important, they are seen by developers as a service or product to be consumed. Therefore, usage experience is a crucial factor for its success.

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Doing a new project with %JSON.Adaptor, unexpectedly realized that %JSON.Adaptor does not support export to native JSON. %JSONExport just outputs directly to the current device, and there are two more methods %JSONExportToString, and %JSONExportToStream.

In conjunction with generating REST from swagger specification, where any generated method accepts as a result %DynamicObject, which is good.

I have multiple places in my REST where I have to return JSON for an object, but I have to modify the result a bit, just extend it with some other way.

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InterSystems IRIS currently limits classes to 999 properties.

But what to do if you need to store more data per object?

This article would answer this question (with the additional cameo of Community Python Gateway and how you can transfer wide datasets into Python).

The answer is very simple actually - InterSystems IRIS currently limits classes to 999 properties, but not to 999 primitives. The property in InterSystems IRIS can be an object with 999 properties and so on - the limit can be easily disregarded.

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Announcement
· Mar 27, 2020
Give it a try on SQLBuilder tool

SQLBuilder is a flexible and powerful SQL query string builder for InterSystems IRIS,

With SQLBuilder you have nice and clean object oriented methods, instead of having to use concatenation and substituition to generate dynamic queries.

A Dynamic SQL without SQLBuilder

A Dynamic SQL with SQLBuilder

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In the WRC, we often see customers raise questions regarding a new Web Gateway setup where the Management Portal half-loads, but doesn’t show images. This article will explain why this error occurs, as well as how to fix it. This explanation is focused on the Web Gateway serving InterSystems IRIS instances, but the same explanation should apply to the CSP Gateway serving Caché instances as well.

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Now the Classes/Rutines/DeepSee files will be automatically exported to the working directory after saving or compiling and files will be automatically deleted .

https://www.youtube.com/embed/B1pmqAQqd4M
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Installation

To install isc-dev , you just need to download and import the file isc-dev.xml from last release.
Some ways to import isc-dev .xml file:

  • Go to Management Portal -> System Explorer -> Classes -> Import and select the XML file.
  • Drag the file over Studio.
  • Terminal command:
NS>do $system.OBJ.Load("yourpath/isc-dev.xml","ck")
NS>zpm
zpm: NS>install isc-dev

How to enable this feature:

  • After importing the class in the target namespace, run the following method to set up the working directory:
NS>do ##class(dev.code).workdir("/path/to/your/working/directory/src/")
  • Go to Management Portal -> System Administration -> Configuration -> Additional Settings -> Source Control.
  • Select the target namespace and set the dev.FileManExtension class as the main one and save it.
  • Try to create a new class in the studio and save/compile it
  • Enjoy!
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Hi Community!

We're pleased to invite all DC members to the InterSystems Global Masters Gamification Platform to get points and prizes for your contribution to the Community, learn with selected content about InterSystems technology, network with your peers and have fun!

▶️ What is Global Masters?

Global Masters is a gamification platform, where you learn technology, complete tech quizzes, watch videos, etc. You will be completing challenges (tasks) related to ISC technology, earning badges & points, and exchanging points for a variety of rewards.

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Okay, we've got a quite useful way to very easily Import and export our objects as JSON, similar to what we already had before for XML.

So, It's a %JSON.Adaptor. But the issue here I faced with, working with Stream properties.

I have an example, when I generate an object, with stream binary stream properties. Export and Import the same, but getting the different resulting objects, depends on the original size of streams.

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I'm always on the lookout for tools that make the development and testing of my interfaces more efficient. A couple of years ago I came across HL7 Spy, from Inner Harbour Software. It quickly became my go-to tool for running message comparison reports for interface engine migrations, message statistics gathering, and troubleshooting message receipt and delivery. It also offered enhanced functionality for things like fetching messages via sftp that other tools don't provide.

I've recently been working with HL7 Spy's author, Jon Reis, to enable support for fetching messages directly from the Ensemble message store. Its SQL Loader feature now has native Caché/IRIS support, and I've contributed a small server-side class to support the extraction of messages using it.

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If you are seeing this error during import: ERROR #6301 Line: 2 Offset: 118 This does not appear to be a Cache exported file, unable to import.

This error is caused by exporting from InterSystems IRIS and trying to import into Caché. If you plan on exporting from IRIS to Caché, you can use the following qualifier to export your classes so that Caché does not throw an error on import:

w $SYSTEM.OBJ.Export(<items>,<filename>,"/exportversion=cache2018.1")

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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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Hey Developers,

Please welcome a new set of Global Masters badges for ✔️Accepted Answers on Developer Community!

As you may remember, you get +150 points on Global Masters each time your answer marked as accepted on DC. And now we have a special set of badges and additional points for a number of accepted answers!

Badge's Name
Rules

Master of Answers - 5 accepted answers on DC

+ 4,000 points

Awarded after your 5 / 10 / 25 / 50 answers marked as accepted answers on the Developer Community.

Bronze Master of Answers - 10 accepted answers on DC

+8,000 points

Silver Master of Answers - 25 accepted answers on DC

+20,000 points

Gold Master of Answers - 50 accepted answers on DC

+40,000 points

And...

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Hi Community,

We've launched a nice competition on Global Masters under the "Season of Giving" campaign, which I hope will bring inspiration to all of you!

We inviting you to share your task ideas for new applications that could be developed on InterSystems Technology. Let's enrich our Open Exchange apps gallery with great applications in 2021!

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Hi Developers!

Suppose you have a persistent class with data and you want to have a simple Angular UI for it to view the data and make CRUD operations.

Recently @Alberto Fuentes described how to build Angular UI for your InterSystems IRIS application using RESTForms2.

In this article, I want to tell you how you can get a simple Angular UI to CRUD and view your InterSystems IRIS class data automatically in less than 5 minutes.

Let's go!

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Hi Developers!

"objectscript.conn" :{
      "ns": "IRISAPP",
      "active": true,
      "docker-compose": {
        "service": "iris",
        "internalPort": 52773
      }

I want to share with you a nice new feature I came across in a new 0.8 release of VSCode ObjectScript plugin by @Dmitry Maslennikov and CaretDev.

The release comes with a new configuration setting "docker-compose" which solves the issue with ports you need to set up to make your VSCode Editor connect to IRIS. It was not very convenient if you had more than one docker container with IRIS running on the same machine. Now, this is solved!

Read below how it works now.

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InterSystems IRIS for Health ENSDEMO

Yet another basic setup of ENSDEMO content into InterSystems IRIS for Health.

Make sure you have Docker up and running before starting.

Setup

Clone the repository to your desired directory

git clone https://github.com/OneLastTry/irishealth-ensdemo.git

Once the repository is cloned, execute:

Always make sure you are inside the main directory to execute docker-compose commands.

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Hi Developers!

Sometimes we need to import CSV data programmatically to InterSystems IRIS either from CSV or from URL. And we expect the class with proper datatypes to be created and the data to be imported.

I published a module csvgen on Open Exchange which does exactly that.

If you just need the CSV file be imported into IRIS you can do the following:

USER>do ##class(community.csvgen).Generate("/usr/data/titanic.csv",,"Data.Titanic")

Class name: Data.Titanic
Header: PassengerId INTEGER,Survived INTEGER,Pclass INTEGER,Name VARCHAR(250),Sex VARCHAR(250),Age INTEGER,SibSp INTEGER,Parch INTEGER,Ticket VARCHAR(250),Fare MONEY,Cabin VARCHAR(250),Embarked VARCHAR(250)
Records imported: 891
USER>

Or if you have the CSV on the internet, e.g. COVID-19 Data on Github you can get the data in the following way:

USER>d ##class(community.csvgen).GenerateFromURL("https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/05-29-2020.csv",",","Data.Covid19")

Class name: Data.Covid19
Header: FIPS INTEGER,Admin2 VARCHAR(250),Province_State VARCHAR(250),Country_Region VARCHAR(250),Last_Update DATE,Lat MONEY,Long_ DOUBLE,Confirmed INTEGER,Deaths INTEGER,Recovered INTEGER,Active INTEGER,Combined_Key VARCHAR(250),Incidence_Rate DOUBLE,Case-Fatality_Ratio DOUBLE
Records imported: 3522
USER>

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ObjectScript Kernel Logo
Jupyter Notebook is an interactive environment consisting of cells that allow executing code in a great number of different markup and programming languages.

To do this Jupyter has to connect to an appropriate kernel. There was no ObjectScript Kernel, that is why I decided to create one.

You can try it out here.

Here's a sneak peek of the results:

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