Hi Developers!

Many of you are looking for samples on how to work with InterSystems IRIS Analytics, formerly known as DeepSee.

There is a Samples BI module with Patients and Holefoods examples which is available on Github with source code. The installation steps are clear but take time. 

Recently we added the option to run IRIS Community Edition containers with ObjectScript Package Manager (ZPM) on board. This simplifies the installation to the "run-one-command" step for the modules submitted to ZPM Community Registry. And thus we can benefit the Samples BI installation with ZPM.

And here is how you can run it on your laptop.  Let's go!

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Hi Developers!

Recently we published on Docker Hub images for InterSystems IRIS Community Edition and InterSystems IRIS Community for Health containers.

What is that?

There is a repository that publishes it, and in fact, it is the same container IRIS Community Edition containers you have on official InterSystems listing which have the pre-loaded ObjectScript Package Manager (ZPM) client.

So if you run this container with IRIS CE or IRIC CE for Health you can immediately start using ZPM and install packages from Community Registry or any others.

What does this mean for you?

It means, that anyone can deploy any of your InterSystems ObjectScript application in 3 commands:

  • run IRIS container;
  • open terminal;
  • install your application as ZPM package.

It is safe, fast and cross-platform.

It's really handy if you want to test a new interesting ZPM package and not harm any of your systems.

Suppose, you have docker-desktop installed.  You can run the image, which wiil pull the latest container if you don't have it locally:

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Hi All, We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out. If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology I wanted to get an opinion of the community as to these few key points - What other BI tools others have been using with IRIS and what have been their experience - For which tools are the best inbuilt support / api's avaialble in IRIS

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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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I'm currently working with a developer to add IRIS/Caché functionality to his HL7 analysis tool that would allow its users to extract messages directly from the Ensemble message store. IRIS for Health Community Edition has been a great aid in debugging this, but I keep banging into the 5 connection license limit with Studio, the Management Portal, an IRIS terminal session and a client database connection using either ODBC or ADO.NET.

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While I can query the HL7 message class EnsLib.HL7.Message (EnsLib_HL7.Message for SQL) to my heart's content in the SQL Shell or the Management Portal's SQL page, I can't seem to SELECT anything other than ID/%Id from an ADO/ODBC client. Properties such as TimeCreated, Name, MessageTypeCategory, etc. all seem to prevent the query from ever completing EXCEPT when I provide the ID as part of the WHERE criteria.

This works fine in the Management Portal and Shell:

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I need to add some extensions to the HS.FHIR.vSTU3,Model.Resource.Patient class and then use those extensions to convert incoming FHIR JSON to the FHIR Patient Resource and Likewise add functionality to create A FHIR Patient (target class) from my patient database into the FHIR Patient  Resource Object (target class)

 

many months ago I found a tutorial that explained all of this but can no longer find that tutorial.

 

Yours

Nigel Salm 

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BridgeWorks is pleased to announce a VDM, v9.1.0.1.  This release includes the following updates:

Updates

  • Historical Linking is now based off connection profile name
  • Saved Formatting is now based off connection profile name
  • Tables and Fields column headers no longer hide based on connection type

Bug Fixes

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¡Hi everybody!

As you likely are aware, the new version of InterSystems IRIS for Health (I4H) it's already available in Docker Hub. It's the Community version and is free and fully functional. There have been comments about it in other articles and posts,... so today I won't add anything about features. Here I want to explore "the mistery about the disappearance, or better, absence of our persistent data when we run a container with the durable option"  (I didn't find a terrifying font to emphasize the thriller... post editor is not terrific for styling smiley ) .

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Some time ago I developed an application that tackled a familarial problem faced by many developers when required to update multiple UAT or PRODUCTION sites with the latest Software patches that have been developed and tested on your DEV server and now need to be deployed to multiple sites running that software.

 

In principle the solution works as follows:

1) Prepare an XML export of affected classes/routines/csp pages/hl7 definitions et al

2) Optionally create a global export of any new globals or changes to existing globals

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Hello InterSystems Community,

We're excited to announce that we've completed our first Open Exchange submission for InterSystems platforms.

BridgeWorks VDM is an ad hoc reporting and graphical SQL query builder application that was designed for any user who needs access to their SQL projections in InterSystems Caché, InterSystems IRIS, InterSystems IRIS for Health databases as well as access to InterSystems DeepSee and InterSystems IRIS BI Cubes with minimal SQL scripting experience.  

VDM features:

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The following steps show you how to display a sample list of metrics available from the /api/monitor service.

In the last post, I gave an overview of the service that exposes IRIS metrics in Prometheus format. The post shows how to set up and run IRIS preview release 2019.4 in a container and then list the metrics.


This post assumes you have Docker installed. If not, go and do that now for your platform :)

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I am getting this with %RCHANGE:

RPMS 28d1>D ^%RCHANGE

This routine changes all occurrences of a string in
routines/include files.

1. Change every: Cache to: IRIS
2. Change every:

Routine(s): %*
Routine(s):  

Then I get these types of messages: 

This routine is mapped to another database, are you sure you want to change it??
 No => yes%DIRFULL.INT

%BENCHLANG.INT

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Question
David Foard · Nov 15, 2019
Question on sharding

Prior to IRIS, using ECP to share databases under heavy I/O load has known latency issues (in our environment), which pretty much restricted using shared database with relatively static or slow-changing data. In IRIS, will sharding mitigate the latency issue and allow any table to be shared?

 

David

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Released with no formal announcement in IRIS preview release 2019.4 is the /api/monitor service exposing IRIS metrics in Prometheus format. Big news for anyone wanting to use IRIS metrics as part of their monitoring and alerting solution. The API is a component of the new IRIS System Alerting and Monitoring (SAM) solution that will be released in an upcoming version of IRIS.

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Hi I am getting this message for some databases but not for others:  This database is mounted as read-only due to 'Failed to access iris.lck file'! and not for others on Google Cloud community non-health edition. 

For example this default database displays the message: Name    IRISLIB Directory    /usr/irissys/mgr/irislib/

But this default database does not:  Name    IRISSYS Directory    /ISC/dur/mgr/

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Loading your IRIS Data to your Google Cloud Big Query Data Warehouse and keeping it current can be a hassle with bulky Commercial Third Party Off The Shelf ETL platforms, but made dead simple using the iris2bq utility.

Let's say IRIS is contributing to workload for a Hospital system, routing DICOM images, ingesting HL7 messages,  posting FHIR resources, or pushing CCDA's to next provider in a transition of care.  Natively, IRIS persists these objects in various stages of the pipeline via the nature of the business processes and anything you included along the way.  Lets send that up to Google Big Query to augment and compliment the rest of our Data Warehouse data and ETL (Extract Transform Load) or ELT (Extract Load Transform) to our hearts desire.

A reference architecture diagram may be worth a thousand words, but 3 bullet points may work out a little bit better:

  • It exports the data from IRIS into DataFrames
  • It saves them into GCS as .avro to keep the schema along the data: this will avoid to specify/create the BigQuery table schema beforehands.
  • It starts BigQuery jobs to import those .avro into the respective BigQuery tables you specify.

 

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