Does anyone have experience with connecting to IRIS with OLEDB through an OLEDB-ODBC bridge? In this case the client can only speak OLEDB at this moment.
Large language models are stirring up some phenomena in recent months. So inevitably I was playing ChatGPT too over last weekend, to probe whether it would be a complimentary to some BERT based "traditional" AI chatbots I was knocking up, or rather would it simply sweep them away.
The title of the contest subject is not quite precise but addresses the %Library.classes involved. What is meant is officially named Class Query and is dating back to the early days of Caché. CLASS is used because it is embedded in a COS class. Though there is a precise description in the official documentation it remains rather abstract. My tutorial should guide you step-by-step through a simple example in COS to make it tangible to you
While the classic solution followed rather close the concepts and design of the ancestors Caché / IRIS allows a more modern approach to flexible/multidimensional properties
Though the access is quite comfortable (in traditional COS sense) there are 2 main restrictions that hurt:
#1) It is not saved to disk unless your application includes code to save it specifically. #2) It cannot be stored in or exposed through SQL tables there are some more I'll show how to overcome these limits
You are experts in IRIS and know all tricks. The functionality of $ZF(-1,-2,-100, ......) is nothing new to you And you know the limits of this functionality. Both give you access to your local server command line environment. And that's it.
During my recent work on Tutorial - Working with %Query #1 I met a Class Property that is quite different from its same-named relatives. It is there since 'ever' but is rarely used, Related doc doesn't help so much.
The new CCR view page is now available to all users via an opt-in toggle a at the top and bottom of the view page.
We hope all users will give the new UI a try and provide us with any feedback that you have through your normal support channels.
Thank you to the beta users who have been using this page for a while, making sure its full release goes smoothly! You can always update your beta user status here.
This tutorial is a follow on to Working with %Query It was displaying the content of the input stream chopped in fixed-size chunks. But often those streams are structured and have well-defined separators (e.g HL7) So as a side subject of this tutorial, this chapter shows how to break a stream into PIECES.
It is exactly the same idea as the $PIECE() function for strings with some add-ons.
My previous article introduced you to SQL based Basic Class Query where a clever wizard created all the required code for you and your essential contribution was an SQL statement.
Now we enter the real Custom Class Query thatprovides more freedom but requires a deeper understanding of the mechanic behind the scene. The full code example is again on GitHub
My previous article introduced you to the COS based Custom Class Query. There were some features missing like more lines of the stream displayed and numbered.
We are gathering again for the next Community Roundtable. Many of you asked for a roundtable about AL / ML, and we are delighted to bring such a roundtable to you!
Please read this when you have the time and keep an open mind. Also, you are welcome to tell me it is a terrible idea.
The main reason for this post
If you look at NPM, it has 1.3 million packages. Now ask yourself, is this an achievement or a nightmare? How many of those packages are no longer supported? How many of those packages break compatibility on version changes? How do you know which one to use?
There is not just one class in this package: rcc.gstream.cls but also rcc.gstreamT.cls
While rcc.gstream works with direct access to the stream globals, the *T version uses a Process Private Global (PPG) as Temporary storage. using SELECT * FROM RCC.gstreamT WHERE RCC.useT('^jpgS')=1 and similar.
It was an amazing 2022 with all of you. Great questions and articles around the whole year and this brings us the most valuable gifts -- wisdom and knowledge. I want to thank you all for a great year full of fun and pleasure.
Hello, my name is Roger, I work in a big hospital in Brazil, I'm new to the MUMPS area, I was given an assignment to try to stabilize our MSM/MUMPS system, we have licenses for 1200 connections, however, the MSM starts having problems when we reach about 990 connections, the terminal has a timeout, it gets stuck. Looking at the MSM settings parameters I noticed the following default settings, could this be related?
Predictable storage IO performance with low latency is vital to provide scalability and reliability for your applications. This set of benchmarks is to inform users of IRIS considering deploying applications in AWS about EBS gp3 volume performance.
Summary
An LVM stripe can increase IOPS and throughput beyond single EBS volume performance limits.
Today we have made the new CCR view page the default for CCR beta users.
The option to toggle back to the classic UI is available in the navigation bar at the top and bottom of the page.
Please let us know of any issues you encounter or general feedback you have on the page, and thank you to everyone who tried the page in its initial release and provided us with great feedback already!
The day has arrived — InterSystems FHIR Healthtech Incubator Caelestinus Final Demo Day, November 30, 2022!
We started Caelestinus 8 months ago in March with 22 outstanding teams. Today 15 teams will pitch what they have achieved so far and their message to the market!
I’m pleased to invite everyone to InterSystems FHIR Health Tech incubator Caelestinus Demo Day, which will happen in a hybrid online/offline mode: you can watch pitches online via www.caelestinus.tech starting at 2 p.m. CET or go in-person in IKEM — Institute for Clinical and Experimental Medicine, the largest Czech medical research and clinical hospital.
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