Good Morning SMEs,

I am a .NET developer and new to using this IRIS Component. We are using InterSystems.Data.Clients ADO.NET component to connection to IRIS, I am able to open the connection but when i called Close, ADO.NET code showing connection is closed state in .NET code but in IRIS side it showing as connection is still open. The will close only after recycling apppool or closing IISExpress/calling application

Here are the steps I used to open the IRIS connection.

In the good old days (tm) determining the size of the data, streams, and indices for a class/table was easy - you just ran %GSIZE and check D, S, and I globals respectively.

However, nowadays sharding, optimized global names, and indices in separate globals produce %GSIZE output looking like this:

You may have seen my series of articles on GlobalToJSON closing with Embedded Python.
And to me, Embedded means inside a Class and not PEX or other external variants.
The first variants showed that ePy is not an ultimate requirement. ISOS/COS may do it as well.
Here I try to position ePy inside IRIS.

How I can get current date/time on format YYYYMMDDhhmmss?

I tried $ZDATETIME($HOROLOG,8), but I got 20220606 17:59:56 and I want 20220606175956

Thanks

Hi there,

I'm passing a JSON object to the server as such:

{"key":"value","key":"value","key":"value"}

From the client:

- Build object

object=JSON.stringify(object)

-pass to server side method as %String

On the server:

s object={}.FromJSON(object)

Instead of getting something like

object=<OBJECT REFERENCE>[2@%Library.DynamicObject]

I get

object="991@%Library.DynamicObject"

I can't access that object using %Get as if says invalid OREF.

Hi developers!

Here is the score of technical bonuses for participants' applications in the InterSystems Grand Prix 2022 programming Contest!

IRIS Megazord

In the first article about IRIS Megazord, Henrique explains what drove us to create such an application. It basic is a composition of these previous project which we did:

About the job

The ideal candidate will be responsible for conceptualizing and executing clear, quality code to develop the best software. You will test your code, identify errors, and iterate to ensure quality code. You will also support our customers and partners by troubleshooting any of their software issues.

Responsibilities

Hey Community,

Exciting results from a massive workload to test InterSystems API. We'll describe how we're trying to push the boundaries of the current technology in the public cloud:

⏯ Running Large-Scale Rest API in the Cloud

https://www.youtube.com/embed/_oJD2XsDrfY
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

Maternal Risk can be measured from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Yasir Hussein Shakir published a very useful dataset for training ML algorithms in the detection/prediction of Maternal Risk.

I think each of us has on the computer directories with photo files of relatives and friends, music albums of favorite bands and singers, as well as e-book libraries. I also have them, and I came up with the idea to implement a convenient interface for these files. You can read more about the project in the article.
And I proposed this project for the contest, maybe it will be useful to you.

Hi Community,

Recently, I migrated a series of Objectscript repositories from XML to UDL format.
After the migration, I was a bit disappointed by the presentation on the GitLab web interface.

Since Objectscript syntax is supported by GitHub, I thought It would be also supported by GitLab. Unfortunately, the library used by GitLab to highlight the code does not have an extension to support Objectscript.

Diabetes can be discovered from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the National Institute of Diabetes and Digestive and Kidney Diseases published a very useful dataset for training ML algorithms in the detection/prediction of diabetes. This publication can be found on the largest and best known data repository for ML, Kaggle at https://www.kaggle.com/datasets/mathchi/diabetes-data-set.