Article
· Aug 4, 2021 3m read
IRIS Mirror in the cloud (AWS)

I have been working on redesigning a Health Connect production which runs on a mirrored instance of Healthshare 2019. We were told to take advantage of containers. We got to work on IRIS 2020.1 and split the database part from the Interoperability part. We had the IRIS mirror running on EC2 instances and used containers to run IRIS interoperability application. Eventually we decided to run the data tier in containers as well.

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Question
· Aug 4, 2021
Azure Mirroring - VIP

Has anyone firstly got VIP working for mirroring in Azure? We are pretty sure that this won't work but I wanted to verify it.

Has anyone used the Azure Load balancer to act as a Virtual IP and if so was a application gateway required.

Interested to know your experiences in getting this working.

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Hi Experts

I am trying to pull the code tables Information and this code table has linked code table not exactly obviously joined by SQL tables or columns. This is confusing me. Please can you clarify how to link these two tables.

I will be generic to ensure, any privacy is protected

CT_Hospital has CT_Staff linked in.

When CT_Hospital has data, for that relevant hospital code, CT_Staff can be clicked and data entered.

When I see in the Components - > Items I do not see any SQL table or SQL column common between CT_Hospital and CT_Staff.

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Hey ISC Community!

For a small automation feature I would like to login to the IRIS shell non-interactively, skipping the whole username and password prompts, providing the credentials through other means. Something in the fashion of "iris session <instance-name> --user myuser --pass mypass" would be great, but the session tool itself doesn't seem to be capable of doing this.

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I have a BPL Business process which always processes messages - mainly it waits for responses since downstream systems are seriously async.

I need to update this process.

Wwould the existing instances of this Business Process complete correctly after the update?

My BPL changes would result in:

  1. New S method in the Thread class
  2. New OnResponse method in the context class

Both changes are in the middle of the process, so there are S/OnResponse methods before and after my change.

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Question
· Jul 28, 2021
%XML.Reader Limitations

Hi all,

Are there limitations to the size of a file or stream that %XML.Reader will parse?

I am trying to parse a large, 573MB, XML file using either the 'OpenFile' or 'OpenStream' methods, but both return errors.

When I try to use the 'OpenStream' method I get a 'ERROR #6301: SAX XML Parser Error: input ended before all started tags were ended' error',

and when I try the 'OpenFile' method I get a 'ERROR #6301: SAX XML Parser Error: <STORE>'.

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Article
· Jul 27, 2021 2m read
IRIS Interoperability Message Bank

I heard about Message Bank when we started redesigning a Health Connect production to run in containers in the cloud. Since there will be multiple IRIS containers, we were directed to utilize Message Bank as one place to view messages and logs from all containers.

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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

Embedded Python: Bring the Python Ecosystem to Your ObjectScript App

https://www.youtube.com/embed/hwd-E7nZ66s
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Hi Community,

We're pleased to invite you to the online meetup with the winners of the InterSystems AI contest!

Date & Time: Friday, July 30, 2021 – 11:00 AM EDT

What awaits you at this Virtual Meetup?

  • Our winners' bios.
  • Short demos on their applications.
  • An open discussion about technologies being used. Q&A. Plans for the next contests.

https://www.youtube.com/embed/27vE9o9U3nM
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UnitedHealth Group is looking for an IRIS expert to help guide our development team, providing subject matter expertise and sound software design skills.

This is a permanent, full-time, 100% telecommuting position. The job will be a mixture of software design, consulting and hands-on development. The ideal candidate will have excellent communication skills, a solid understanding of computer science and be an energetic team player.

Required Qualifications:

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Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

  • A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
  • An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
  • A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?

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Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial definition in one paragraph and admits virtual form of a robot). A robot is an automate, from an algorithmic viewpoint, an automate for autonomous (algorithmic) execution of concrete tasks. A light detector that triggers street lights at night is a robot. An email software separating e-mails into “external” and “internal” is also a robot. Artificial intelligence (in an applied and narrow sense, Wikipedia interpreting it differently again) is algorithms for extracting dependencies from data. It will not execute any tasks on its own, for that one would need to implement it as concrete analytic processes (input data, plus models, plus output data, plus process control). The analytic process acting as an “artificial intelligence carrier” can be launched by a human or by a robot. It can be stopped by either of the two as well. And managed by any of them too.

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in order to do analysis on huge data volumes, it is better to take you data to a separate machine for analysis away from the operational machine, so trying to write huge globals or tables into files as is would take a huge space, what could be a solution or best practice ?..in python for instance, there is the pickling option (serializes data to byte string and saves it to a file) to save space, what could be best in object script ?

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