We are looking at moving from Cache to IRIS, if we do this we will want to use Intersystems Reports. We have a lot of Crystal Reports to convert. is there a conversion tool or best practice for doing the conversion

Hi, in the end I want a report like this:

GA releases are now available for the 2020.4 version of InterSystems IRIS, InterSystems IRIS for Health and InterSystems IRIS Studio.

InterSystems IRIS Data Platform 2020.4 makes it even easier to develop, deploy and manage augmented applications and business processes that bridge data and application silos. It has many new capabilities including:

Enhancements for application and interface developers, including:

Similar to Caché so also in IRIS, you have ClassQueries available in 2 variants

• Basic class queries, which use the class %SQLQuery and an SQL SELECT statement.
• Custom class queries, which use the class %Query and custom logic to execute, fetch, and close the query.

Testing ECP-based applications often take quite some effort for setup and preparation.
I have created a Docker-based workbench that allows you to have it quick at hands.
And if you crash it? You just give your containers a fresh start.
The whole setup runs code-based during the start-up of your instance.
In that sense, it is also a portable coding example using ZPM and the objectscript-docker-template

see Video

Hey everyone.

I have been revisiting our backup strategy, and spotted that IRIS supports VSS (Volume Shadow Copy Service) in Windows. This is quite attractive as an approach, as it automatically calls the external freeze and thaw commands.

However when calling these manually, there's quite a few parameters that can be set, and the documentation around VSS only states that the freeze/thaw commands are called.

Is there a way of controlling the parameters used, or at the very least know what the defaults are?

Ever noticed that the Type column of the Web Applications page in the Security section of Management Portal is showing you redundant information?

Hi All!

Examining the page here I see we have one-to-many and parent-child relationships supported in the InterSystems Objects model.

Do we support one-to-one too?

Hello,

I am trying to figure out if we can extend a business process in IRIS. My Use Case is that I am developing RESTful Interfaces and my each REST Interface needs to go through certain processes before getting to the actual action.

e.g. I have 2 REST Interfaces, GetPatient and GetEncounter. Both of these need to invoke "GetToken" Business Operation to go to the Authentication server to get an authentication token before they go ahead and hit the Business Operation to Get the data i.e. Patient or Encounter.

We have a Unicode installation of Cache'. A client wants to send us documents that will be machine-read and loaded, automatically. They want to create the documents in ISO-8859-1 ("Latin-1"). We'd need to convert the text to UTF8 for our system. I saw the documentation on the $ZCONVERT function, but I didn't see this option. How should it be done?

Thanks!

FIrst of all thank you for your time in reading this question and writing a response,

We would need some help,

-> Our objective is to control which method is being used in the service: GET POST PUT

We have tried to understand the example REST Service: Demo.REST.DirectoryService

After that we have tried to create our own custom rest service,

please take a few minutes to examine the following code:

Hello, in a zen page sometimes I find document.getElementbyId("ID") to set a propertybut also zen("ID").setPr.... So what is the real difference and limitations of each?

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see our effort to suggest an “applied” definition) though partitioned across several computers that are not clustered together (neither data-wise, nor via applications, not by providing access to particular computers in principle). I.e., ideally, distributed artificial intelligence should be arranged in such a way that none of the computers participating in that “distribution” have direct access to data nor applications of another computer: the only alternative becomes transmission of data samples and executable scripts via “transparent” messaging. Any deviations from that ideal should lead to an advent of “partially distributed artificial intelligence” – an example being distributed data with a central application server. Or its inverse. One way or the other, we obtain as a result a set of “federated” models (i.e., either models trained each on their own data sources, or each trained by their own algorithms, or “both at once”).