Hello, first of all thanks for your time reading this question ◀️

We would need to achieve the following task:

We have a Ens.Response message with this structure:

Hi,

I'm trying to perform a SELECT with parameters using the EnsLib.SQL.OutboundAdapter. The SELECT returns results but seems to discard the parameters I try to send. I have tried two methods.

First:

Set par(1) = "20160630"
Set par(1,"SqlType") = 12
Set sql = "SELECT Cod, Ing, score FROM [bbdd].[dbo].[vw_Test] WHERE MyParam >= '?'"
Set tSC = ..Adapter.ExecuteQueryParmArray(.QueryResultSet,sql,.par)

Second:

This series of articles would cover Python Gateway for InterSystems Data Platforms. Execute Python code and more from InterSystems IRIS. This project brings you the power of Python right into your InterSystems IRIS environment:

Can anyone clarify to me about the differences between these two classes?

People in this topic https://community.intersystems.com/post/using-class-queries-sqlstatement-versus-libraryresultset stated that %SQL.Statement (I am assuming they mean to talk about %SQL.StatementResult) is newer than %Library.ResultSet. But I don't really know what are the advantages of %SQL.Statement over %Library.ResultSet as the people in the topic somehow didn't mention them.

Hey community, how are you all doing?

What if you could check if your REST application is susceptible to some vulnerability? What if you could check if any known attacks affect your application?

With these issues in mind, we've brought our sample application using the ZAP testing tool. A way to quickly, conveniently provide tools for developers to validate security issues in an accessible manner practically.

Hi Community,

I recently needed to interrogate some folders/sub-folders to retrieve filenames using cache object script(COS) and I implemented it in the following way.

Hi Community,

In this article, we will learn the below topics listed below:

Hi, Community!

How do you store the source files of your Caché project? What is the directories structure? What are the benefits?

I prefer the following structure:

/cls/package/subpackage/class.cls

/mac/package/routine.mac

/int/package/routine.int

/inc/macro.inc

/dfi/folder/sample.pivot.dfi

Example

Benefits:

• folders are packages.
• easy to understand what type of sources are in the project.

What is your approach?

I'm sending data via ajax to my REST service, and while retrieving any information sent in the url parameter is easy when they're defined in the route, I can't get anything if I store information in the data parameter. For example:

$.ajax({
               url: "ServerURL",
               data: { "some": "json" } //How do I get this information?

...

I've looked at many common solutions such as here:

I'm pleased to announce the latest version of extensions for ObjectScript. Just a month has gone since my latest update, and I already have something new to show.

Important. In this version connection to the server will be disabled by default. You have to activate connection through the settings:"objectscript.conn.active" = true.

Is this available anywhere (for Health Connect)? I've found a few presentations but they are aimed at entry level.

We're looking at supporting more and more FHIR, REST plus OAuth interfaces in future. I've built some of this into older versions of HealthShare and Ensemble but it's desirable to move to supported versions.

We would be using Healthshare as a facade to other systems.

Hello everybody

I'm trying to send a XML file in a form-data like this, but is not working. Can anyone help me with the code?

This is my code:

Hi, Community!

Last weekend we held the Final of InterSystems Contest on Caché, DeepSee and iKnow under the aegis of IT Planet Student Championship in Ekaterinburg. BTW, this year we had more than 1,400 participants in InterSystems Contest.

Nowadays so much noise around LLM, AI, and so on. Vector databases are kind of a part of it, and already many different realizations for the support in the world outside of IRIS.

Why Vector?

• Similarity Search: Vectors allow for efficient similarity search, such as finding the most similar items or documents in a dataset. Traditional relational databases are designed for exact match searches, which are not suitable for tasks like image or text similarity search.
• Flexibility: Vector representations are versatile and can be derived from various data types, such as text (via embeddings like Word2Vec, BERT), images (via deep learning models), and more.
• Cross-Modal Searches: Vectors enable searching across different data modalities. For instance, given a vector representation of an image, one can search for similar images or related texts in a multimodal database.

And many other reasons.

So, for this pyhon contest, I decided to try to implement this support. And unfortunately I did not manage to finish it in time, below I'll explain why.