質問 Anna Golitsyna · 11月 11, 2020

Hi everybody,

Is there a way to run code on another machine? Of course, all authentication info is known. I know only about RemoteResultSet but that seems to be query specific.

Thanks in advance,
Anna
P.S. The ultimate goal, in case that matters, is to create identical globals on 2 different machines with one run.

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お知らせ Evgeny Shvarov · 11月 18, 2020

Hooray! 

I'm pleased to announce that 100 ZPM modules are available in the public InterSystems IRIS zpm-repository! Now!

Thank you, developers! This is great that you adopt ZPM Package manager that fast and share your open source add-on libraries for InterSystems IRIS in a form of ZPM packages which means that each of them could be installed as:

USER>zpm "install module-name"

Wish to see the next milestone of 1,000 modules soon in 2021!

Thank you!

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記事 Claudio Devecchi · 11月 26, 2020 16m read

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.

In order to improve this experience, specification standards such as the OpenAPI Specification (OAS) are increasingly being adopted in the development of RESTFul APIs.

What is IRIS ApiPub?

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お知らせ Anastasia Dyubaylo · 1月 4, 2021
Hey Developers!
Please check out the 2020 annual Developer Community Posts digest. Don't miss the most popular and commented posts!
Most viewed




















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記事 Anton Umnikov · 1月 21, 2021 26m read

In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

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記事 Sergey Lukyanchikov · 4月 7, 2021 9m read

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see our effort to suggest an “applied” definition) though partitioned across several computers that are not clustered together (neither data-wise, nor via applications, not by providing access to particular computers in principle). I.e., ideally, distributed artificial intelligence should be arranged in such a way that none of the computers participating in that “distribution” have direct access to data nor applications of another computer: the only alternative becomes transmission of data samples and executable scripts via “transparent” messaging. Any deviations from that ideal should lead to an advent of “partially distributed artificial intelligence” – an example being distributed data with a central application server. Or its inverse. One way or the other, we obtain as a result a set of “federated” models (i.e., either models trained each on their own data sources, or each trained by their own algorithms, or “both at once”).

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お知らせ Timothy Leavitt · 11月 8, 2021

If you're building solutions on IRIS and want to use Git, that's great! Just use VSCode with a local git repo and push your changes out to the server - it's that easy.

But what if:

  • You're collaborating with other developers on a shared, remote development environment and want to avoid concurrent editing of the same file
  • You're using editors based in the management portal for BPL, DTL, pivots, dashboards, etc.
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ディスカッション Guillaume Rongier · 11月 16, 2021

For all docker versions we have direct download links.

Like on our repository or on docker hub :

However, there is no direct link to download the installable (non docker) versions.

I propose you these two scripts to solve this need, the first one is with the wget command, the other one in curl.

Wget :

wget --delete-after --keep-session-cookies --save-cookies cookies.txt \
--post-data='UserName=<Your Login>&Password=<Your password>'  \
'https://login.intersystems.com/login/SSO.UI.Login.cls?
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記事 Guillaume Rongier · 2月 7, 2022 25m read
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記事 Bob Schat · 2月 10, 2022 7m read

The InterSystems Iris Fhirserver running on a Raspberry Pi Raspberry running as a FHIRserver

Raspberry running as FHIRserver

About a year ago I wrote some articles about the installation of the HAPI FHIRserver on a   Raspberry Pi. At that time, I only knew the basics of the FHIR standard, little about the technology behind FHIR-servers and not much more about the Raspberry. By trying, failing, giving up and trying again I learned a lot.

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記事 Evgeny Shvarov · 2月 13, 2022 2m read

Folks!

Recently I found several one-line long ObjectScript commands on DC and think that it'd be great not to lose it and to collect more!

So I decided to gather a few first cases, put in one OEX project, and share them with you!

And here is how you can use them.

1. Create client SSL configuration.

set $namespace="%SYS", name="DefaultSSL" do:'##class(Security.SSLConfigs).Exists(name) ##class(Security.SSLConfigs).Create(name)

Useful if you need to read content from an URL.

Don't forget to return to a previous namespace. Or add 

n $namespace

before the call.

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記事 Alberto Fuentes · 4月 5, 2022 2m read

You have read about OAuth2 / OpenID Connect but you don't know how to use it? Have you ever needed to implement Single Sign-On (SSO) or secure web services based on tokens? Did you have to add authentication / authorization to your web applications or services and you didn't know how to start?

What about a step by step example where you can set up an authorization server, a client and a resource server? Here you can find an example where you will configure InterSystems IRIS instances to act as each one of these OAuth2 roles.

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記事 Nicholai Mitchko · 4月 12, 2022 2m read

Background

In InterSystems IRIS versions >=2021.2 we can use the accompanying irispython binary to directly write python code on top of our IRIS instances. This lets us use python packages, call methods, make SQL queries, and do nearly anything in Objectscript but pythonic.

For example, below I check if a namespace is present:

#!/usr/irissys/bin/irispython
import iris
# call arbitrary class methods
result = iris.cls('%SYS.Namespace').Exists('USER')
if result == 1:
    print(f"Namespace USER is present")

But, what if my method in IRIS has special parameters such as Output and ByRef parameters?

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質問 Megumi Kakechi · 4月 18, 2022

How can I get the Python error object(exception return value) from the embedded python method?
I have an embedded Python method like as below;

ClassMethod test2() As XXX [ Language = python ]
{
   try:
    a=1/0
   
   except Exception as ex:
    print("Exception: %s" % str(ex))
    return ex
}

I'm not sure what kind of return type to set for this classmethod.   "As XXX" <--
I tried to set "ClassMethod test2() As %Exception.PythonException [ Language = python ]"
However, I got the following return value when I run the method in the IRIS terminal.

USER>set st= ##class(User.PythonTest).
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記事 Lorenzo Scalese · 4月 22, 2022 8m read

Apache Web Gateway with Docker

Hi, community.

In this article, we will programmatically configure an Apache Web Gateway with Docker using:

  • HTTPS protocol.
  • TLS\SSL to secure the communication between the Web Gateway and the IRIS instance.

image

We will use two images: one for the Web Gateway and the second one for the IRIS instance.

All necessary files are available in this GitHub repository.

Let’s start with a git clone:

git clone https://github.com/lscalese/docker-webgateway-sample.
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記事 Yuri Marx · 8月 8, 2022 24m read

In this article you will have access to the curated base of articles from the InterSystems Developer Community of the most relevant topics to learning InterSystems IRIS. Find top published articles ranked by Machine Learning, Embedded Python, JSON, API and REST Applications, Manage and Configure InterSystems Environments, Docker and Cloud, VSCode, SQL, Analytics/BI, Globals, Security, DevOps, Interoperability, Native API. Learn and Enjoy!

 

Machine Learning

Machine Learning is a mandatory technology to build advanced data analysis and automate manual activities with excellent efficiency.

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