Generally speaking, InterSystems products supported dynamic objects and JSON for a long while, but version 2016.2 came with a completely new implementation of these features, and the corresponding code was moved from the ObjectScript level to the kernel/C level, which made for a substantial performance boost in these areas. This article is about innovations in the new version and the migration process (including the ways of preserving backward compatibility).
Looking for a way to onboard your team with InterSystems IRIS® for Health? Unlock the full potential of this platform by using these InterSystems learning resources. With a mix of online and in-person training, you can support various roles in your organization and equip your team for success.
In part 1 we started working on a security model for DeepSee and create a user type having privileges typical of end users. In this part we are going to create a second user type with ability to edit and create DeepSee pivot tables and dashboards.
In part 1 and part 2 of this series we set up two user types, simpleuser and poweruser. In this part of the tutorial we create one last user type having privileges typically needed by an administrator/developer in analytics.
Any election is a highly mysterious process, and when you look at its results, the overall picture is not quite clear. I decided to put them, region by region, on the map of Moscow using InterSystems technologies that offer both storage and data analysis functionality. In this particular case, I used InterSystems Ensemble, a platform for application development and integration, but you can also build this solution using the multi-model InterSystems Caché DBMS, as well as InterSystems’ new product called IRIS Data Platform.
In the previous article, [What is a Production?], we checked the production contents. We ran the sample code and checked the flowing messages' contents into the production on the Visual Trace page.
In part 1, part 2, and part 3 of this series we set up three user types. In this part of the tutorial we see how to secure model elements (such as DeepSee cubes) and DeepSee items (such as a folder containing pivot tables and dashboards in the DeepSee User Portal).
Recently I reread this article by @Bernd Mueller. It's about calling DELFATE function from zlib library. In this article I'll demonstrate several different approaches to callout libraries, we'll build the same functionality (compress function) in several different languages and compare them.
Need to find the most relevant onboarding for your HealthShare Unified Care Record® team? Maximize your team's knowledge and success by diving into this curated list of offerings from InterSystems Learning Services—which includes online and in-person training for a variety of roles in your organization.
Beginner’s guide to RESTful Application Program Interface (API) design and documentation. Through the example you will learn some common pattern for RESTful API.
In part 1, part 2, and part 3 parts of this series we set up three user types. In part 4 we saw how to secure model elements and DeepSee items. In this last part of the tutorial we conclude with some remarks on DeepSee security and troubleshooting tips. In particular, we see how pivot tables in User Portal can be "hidden".
How Tax Service, OpenStreetMap, and InterSystems IRIS could help developers get clean addresses
Pieter Brueghel the Younger, Paying the Tax (The Tax Collector), 1640
In my previous article, we just skimmed the surface of objects. Let's continue our reconnaissance. Today's topic is a tough one. It's not quite BIG DATA, but it's still the data not easy to work with: we're talking about fairly large amounts of data. It won't all fit into RAM at once, and some of it won't even fit on the drive (not due to lack of space, but because there's a lot of junk). The name of our subject is FIAS DB: the Federal Information Address System database - the databases of addresses in Russia. The archive is 5.5 GB. And it's a compressed XML file. After extraction, it will be a full 53 GB (set aside 110 GB for extraction). And when you start to parse and convert it, that 110 GB won't be enough. There won't be enough RAM either.
If you’re on the fence about learning InterSystems ObjectScript, we’re making the decision a whole lot easier.
We just updated the “Getting Started with InterSystems ObjectScript” learning path with 3 new 5-minute videos — and a capstone exercise to help you pull together everything you’ll learn.
🤝 Get an introduction to InterSystems ObjectScript
Cross-origin Resource Sharing (CORS) is one of the basic security features built into browsers. CORS controls accessing resources from a HTML page in domains other than the original domain. It is particularly important for AJAX calls. Since RESTful services can be used as data provider to any AJAX call, you have to be able to control cross-origin access. By default services are not allowed to do CORS. You are going to learn how to enable it for Ensemble RESTful services.
This article explains how Atelier helps you to improve software development productivity. One of the Ensemble features is the VDoc infrastructure. When someone develops HL7 v2.* production, She/ He is in a luxurious situation because Ensemble comes with a HL7 Schema editor. On the other hand this is not the case with XML VDocs. But with some effort you can turn Atelier to a handy XSD editor and close the gap.
Please follow the step-by-step guide to complete the job.
sample
w "Total No.Of Sticks:21"_!
s sticks=21
r "enter machine name: ",a
r "enter dev name: ",b
w "Display 1 to 21 sticks"_!
s i=""
f i=1:1:21{
w " "_i_" "
}
user(sticks)
w !_"User select 1 or 2 or 3 or 4 sticks:"_!
r "User enter sticks: ",us
if us>4 {
w "please select upto 4 Sticks"
r "User enter sticks: ",us
}
s cnt=sticks-us
s sticks=cnt
f i=1:1:sticks {
w " "_i_" "
}
s dev=1
s machine=0
d:sticks=0 lost(dev,machine)
d machine(.sticks,us)
q
machine(sticks,us)
By replies
