Hey Developers,

Don't miss the new exciting promo video from our Brazilian developers on InterSystems Developers YouTube:

🍿 Promo video + Screencast for No Project Mess By IRIS

1.Background

1.1 I met a few project that their interface servers were crashed. Cutoms wanted resume server as fast as we can. their servers are running at lan,and they can't use git,there are some namesapce in the server running different service,and usualy there is only one server.

1.2 In the message,it has property in type of characterstream,as you know,the message search page doesn't support filtering with property of characterstream,so it's so hard to find the messge you want.

Continuing the description of work on the use of the openhl python module in productive mode.

Since the version of iris with Embedded Python, does not yet have a final release, it is already necessary to use it in production now. We decided to back up the service for exporting requests to a xlsx file on a separate server, and save the query result in a global in a separate database.

1. interoperability-embedded-python

This proof of concept aims to show how the iris interoperability framework can be use with embedded python.

1.1. Table of Contents

• 1. interoperability-embedded-python
  • 1.1. Table of Contents
  • 1.2. Example
  • 1.3. Regsiter a component
• 2. Demo
• 3. Prerequisites
• 4. Installation with Docker
• 5. Installation without Docker
• 6. How to Run the Sample
• 7. What's inside the repository
  • 7.1. Dockerfile
  • 7.2. .vscode/settings.json
  • 7.3. .vscode/launch.json
  • 7.4. .vscode/extensions.json
  • 7.5. src folder
• 8. How to add a new component
  • 8.1. InboundAdapter
  • 8.2. OutboundAdapter
  • 8.3. BusinessService
  • 8.4. BusinessProcess
  • 8.5. BusinessOperation
  • 8.6. Regsiter a component
  • 8.7. Direct use of Grongier.PEX
• 9. Future work
• 10. Credits

1.2. Example

import grongier.pex
import iris
import MyResponse

class MyBusinessOperation(grongier.pex.BusinessOperation):

    def OnInit(self):
        print("[Python] ...MyBusinessOperation:OnInit() is called")
        self.LOGINFO("Operation OnInit")
        return

    def OnTeardown(self):
        print("[Python] ...MyBusinessOperation:OnTeardown() is called")
        return

    def OnMessage(self, messageInput):
        if hasattr(messageInput,"_IsA"):
            if messageInput._IsA("Ens.StringRequest"):
                self.LOGINFO(f"[Python] ...This iris class is a Ens.StringRequest with this message {messageInput.StringValue}")
        self.LOGINFO("Operation OnMessage")
        response = MyResponse.MyResponse("...MyBusinessOperation:OnMessage() echos")
        return response

1.3. Regsiter a component

No ObjectScript code is needed.

iris-docker-multi-stage-script

A python script to keep your docker iris images in shape ;)

Witout changing your dockerfile or your code you can reduce the size of your image by 50% or more !

TL;DR

Name the builder image builder and the final image final and add this to end of your Dockerfile:

Modify your Dockerfile to use a multi-stage build:

ARG IMAGE=intersystemsdc/irishealth-community:latest
FROM $IMAGE as builder

Add this to end of your Dockerfile:

FROM $IMAGE as final

ADD --chown=${ISC_PACKAGE_MGRUSER}:${ISC_PACKAGE_IRISGROUP} https://github.com/grongierisc/iris-docker-multi-stage-script/releases/latest/download/copy-data.py /irisdev/app/copy-data.py

RUN --mount=type=bind,source=/,target=/builder/root,from=builder \
    cp -f /builder/root/usr/irissys/iris.cpf /usr/irissys/iris.cpf && \
    python3 /irisdev/app/copy-data.py -c /usr/irissys/iris.cpf -d /builder/root/ 

Boom! You're done!

I have just created a new Global Master Topic, "IRIS Cheatsheets". IRIS has introduced a lot of new functionality, especially in scripting languages, FHIR R4 support, enhanced Interoperability Tools, and IRIS Analytics. Having spent 35 years working on Windows-based PC's and Laptops, I have surprisingly little knowledge of Linux, Docker and Git. Furthermore, I have written almost every application and Interface in ObjectScript with splatterings of SQL, .Net, and Java Gateways and the most basic knowledge of WinSCP, Putty, SSH. All that changed when I received my first Raspberry Pi.

I have created a package to export a Global into JSON object file and to re-create it by reloading from this file
embeddedPython refers to the new available technologies. It should be understood as a learning exercise of
how to handle the language interfaces. Only Global nodes containing data are presented in the generated JSON file.
Differently from the previous example, this one is using embedded Python only, no ObjectScript. Therefore PURE

Hi developers.
I often miss the ZPM program on a clean system.
Nothing complicated? Take and install.
And in one line? Especially in a docker container.
There is a solution. I'm very happy with it;)
Maybe the line can be shortened?

In the vast and varied SQL database market, InterSystems IRIS stands out as a platform that goes way beyond just SQL, offering a seamless multimodel experience and supporting a rich set of development paradigms. Especially the advanced Object-Relational engine has helped organizations use the best-fit development approach for each facet of their data-intensive workloads, for example ingesting data through Objects and simultaneously querying it through SQL. Persistent Classes correspond to SQL tables, their properties to table columns and business logic is easily accessed using User-Defined Functions or Stored Procedures. In this article, we'll zoom in on a little bit of the magic just below the surface, and discuss how it may affect your development and deployment practices. This is an area of the product where we have plans to evolve and improve, so please don't hesitate to share your views and experiences using the comments section below.

During the last weeks, I was working on various issues and problems related to SW development.
I found that quite often problem analysis was mostly chasing issues just on the surface
but not really attacking the deeper reasons of the problem and follow the consequences.
It's like the doc that stops your leg bleeding but doesn't see that it is broken.

As you may well remember from Global Summit 2022 or the 2022.2 launch webinar, we're releasing an exciting new capability for including in your analytics solutions on InterSystems IRIS. Columnar Storage introduces an alternative way of storing your SQL table data that offers an order-of-magnitude speedup for analytical queries. First released as an experimental feature in 2022.2, the latest 2022.3 Developer Preview includes a bunch of updates we thought were worth a quick post here.

Introduction

This article is intended to be a simple tutorial on how to create ODBC connections and working with them, since I found starting with them a little bit confused, but I had amazing people to take my hand and walk me through it, and I think everyone deserves that kind of help too.
I'm going to divide each little part in sections, so feel free to jump to the one you feel the need to, although I recommend reading everything.

A concurrent session in IRIS:
SQL, Objects, REST, and GraphQL

Kazimir Malevich, "Athletes" (1932)

"But of course you don't understand! How can a person who has always traveled in a horse-drawn carriage understand the feelings and impressions of the express traveler or the pilot in the air?"

Kazimir Malevich (1916)

Introduction

We’ve already addressed the topic of why object/type representation is superior to SQL for implementing subject area models. And those conclusions and facts are as true now as they have ever been. So why should we take a step back and discuss technologies that drag abstractions back to the global level, where they had been in the pre-object and pre-type era? Why should we encourage the use of spaghetti code, which results in bugs that are hard to track down, and which relies only on virtuoso developer skills?

There are several arguments in favor of transmitting data via SQL/REST/GraphQL-based APIs as opposed to representing them as types/objects:

I'm running reviews on Open Exchange since April 2021.
I have seen excellent packages, good ones, and some that made me feel just lost.
And I started to recognize contributors also by their style and organization of the submitted packages.