Each business component in Ensemble picks up its allocated jobs from a pool, and the Pool Size setting for each component determines how many jobs each component can work on each time. In this article we will be specifically discussing different Pool Size settings for Business Processes.

Pool Size = 1

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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 .

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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image

Hi Community,

In this article I will demonstrate the functionality of my app iris-energy-isodata .
Application is accessing energy data (production, demand and supply) from the major Independent System Operators (ISOs) in the United States to ensure sustainable consumption and production patterns (SDG's 12)

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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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Healthcare interoperability is instrumental in improving patient care, decreasing healthcare provider costs, and providing a more accurate picture to providers. However, with so many different systems, data is formatted in many different ways. There are many standards that have been created to try to solve this problem, including HL7v2, HL7v3, and CDA but each one has its drawbacks.

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This formation, accessible on my GitHub, will cover, in half a hour, how to read and write in csv and txt files, insert and get inside the IRIS database and a distant database using Postgres or how to use a FLASK API, all of that using the Interoperability framework using ONLY Python following the PEP8 convention.

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While reviewing our documentation for our ^pButtons (in IRIS renamed as ^SystemPerformance) performance monitoring utility, a customer told me: "I understand all of this, but I wish it could be simpler… easier to define profiles, manage them etc.".

After this session I thought it would be a nice exercise to try and provide some easier human interface for this.

The first step in this was to wrap a class-based API to the existing pButtons routine.

I was also able to add some more "features" like showing what profiles are currently running, their time remaining to run, previously running processes and more.

The next step was to add on top of this API, a REST API class.

With this artifact (a pButtons REST API) in hand, one can go ahead and build a modern UI on top of that.

For example -

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It is with great pleasure that the CIUSSS de l'Estrie - CHUS is sharing the mocking framework it developed and presented at the InterSystems Summit 2017. I will update this post with more detailed instructions in the next few weeks but I wanted to share the code and presentation quickly :

https://gitlab.com/ciussse-drit-srd-public/Mocking-Framework

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Requirement: Transform source XML message to target JSON.

step1: First create json equivalent xml from any online tool.

step2: use add in studio utility create persistent classes from json equivalent xml and compile it , now target persistent classes are ready

step3: Do the above step for source xml or xsd and generate persistent classes for source and compile it

step4: complete the DTL by selecting root node from source, target persistent classes and complete the mappings and compile it

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One of my colleagues had developed an interface in Health Connect (HealthShare 2019.1) to add large amounts of data to an external SQL Server database. The data comes from many text files with delimited rows and data for one table per file. There is a business process to read a file line by line and send an Insert Request to an operation.

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