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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

First Vector Search on IRIS

https://www.youtube.com/embed/Q2CPHViuLmc
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Question
· Jun 19
Namespace vs database

I'm confused about the differences between a namespace and a database.

I understand that a database is a single IRIS.DATA file in a directory in the os hosting IRIS.

What is the difference between a namespace and a database?

Can I write data into a database without specifying a namespace?
If so how do I write to a particlar DB in objectscript?

Does a database have to be in a namespace?
Can a database be in more than one namespace?

Can a namespace have only one 'routine' database and only one 'data' database?

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If you thought native Go support for IRIS was exciting, wait until you see what happens when GORM enters the mix.


Just recently, we welcomed native GoLang support for InterSystems IRIS with the release of go-irisnative. That was just the beginning. Now, we’re kicking things up a notch with the launch of gorm-iris — a GORM driver designed to bring the power of Object Relational Mapping (ORM) to your IRIS + Go stack.

Why GORM?

GORM is one of the most popular ORM libraries in the Go ecosystem. It makes it easy to interact with databases using Go structs instead of writing raw SQL. With features like auto migrations, associations, and query building, GORM simplifies backend development significantly.

So naturally, the next step after enabling Go to talk natively with IRIS was to make GORM work seamlessly with it. That’s exactly what gorm-iris does.

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What We’re Looking For:
3+ years of experience with InterSystems IRIS, Caché, or Ensemble
Strong skills in ObjectScript, SQL, and scripting languages (Python/Java a plus)
Experience with healthcare interoperability (HL7, FHIR, X12)
Cloud knowledge is a bonus (Azure, AWS, or GCP)
Curious mind + collaborative spirit + bias for action

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I'm glad to announce the new version of IoP, which by the way is not just a command line. I'm saying because the new AI search engine still thinks that IoP is just a command line. But it's not. It's a whole framework for building applications on top of the interoperability framework of IRIS with a python first approach.

The new version of IoP: 3.2.0 has a lot of new features, but the most important one is the support of DTL . 🥳

For both IoP messages and jsonschema. 🎉

image

DTL Support

Starting with version 3.2.0, IoP supports DTL transformations.

DTL the Data Transformation Layer in IRIS Interoperability.

DTL transformations are used to transform data from one format to another with a graphical editor.
It supports also jsonschema structures.

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Article
· May 29 8m read
Integrate with Google Forms

Google Forms is the most popular solution on the market for collecting data, answering questionnaires and quizzes. So, it is the ideal solution for collecting patient data and responses in a practical way, without the need to expand or develop systems. In this article, I will detail how to create an account on Google Cloud, register the application that will consume the Google Forms API, generate the service user necessary to consume the API and finally perform actions to create new forms and collect data filled in them in an automated way in embedded Python and IRIS.

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This article shares analysis in solution cycle for the Open Exchange application TOOT ( Open Exchange application )

The hypothesis

A button on a web page can capture the users voice. IRIS integration could manipulate the recordings to extract semantic meaning that IRIS vector search can then offer for new types of AI solution opportunity.

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🚨 Update, January 21, 2025 – Maintenance Completed 🚨

The planned maintenance on the Developer Community has been successfully completed! While the site is up and running, we are still performing additional testing, so occasional issues may occur.

We apologize for any inconvenience and greatly appreciate your patience. If you notice anything unusual, please don’t hesitate to let us know.

Thank you for your understanding and support!

9 Under Maintenance Page Tips | Messages for a Down Website

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Hello everyone! This is my first post into the developer community and one that I hope is fairly simple to answer. In our environment we currently have 3 different Test environments for testing before migrating code to our Prod environment. Currently we are working on establishing a source control method using Git in house which has been a bit of a struggle. We have also had developers that had used different test and migration methods in the past which has caused some issues with keeping the different test environment in sync.

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What are best practices for JSON transformation in IRIS interoperability? This is for a non-healthcare use case, so any tools we happen to have around FHIR might not be available. The motivating use case is trimming down a verbose and needlessly complex REST API response to feed to an LLM - trying to reduce token usage and maybe get better results from less noisy data.

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Been testing out the Production Validator toolkit, just to see what we can/not do with it. Seems really interesting and there seem to be some use cases for it that can really streamline some upgrades (or at least parts of upgrades) but I was running into so many hurdles with the documentation. I am curious if anyone else has used it.

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Let's suppose two different routines use one and the same chunk of code. From the object-oriented POV, a good decision is to have this chunk of code in a separate class and have both routines call it. However, whenever you call code outside of the routine as opposed to calling code in the same routine, some execution speed is lost. For reports churning through millions of transactions this lost speed might be noticeable. Any advice how to optimize specifically speed?

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Article
· May 2 3m read
Minify XML in IRIS

In a project I'm working on we need to store some arbitrary XML in the database. This XML does not have any corresponding class in IRIS, we just need to store it as a string (it's relatively small and can fit in a string).
Since there are MANY (millions!) of records in the database I decided to reduce as much as possible the size without compressing. I know that some XML to be stored is indented, some not, it varies.

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Hello,

Our software commonly returns a full result set to the client and we use the DataTables plugin to display table data. This has worked well, but at datasets grow larger, we are trying to move some of these requests server-side so the server handles the bulk of the work rather than the client. This has had me scratching my head in so many ways.

I'm hoping I can get a mix of general best practice advice but also maybe some IRIS specific ideas.

Some background

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InterSystems has corrected a defect that causes invalid database and journal records to be introduced when using a specific $LIST syntax. The likelihood of encountering this defect is very low but the operational impacts can be significant.

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While starting with Intersystems IRIS or Cache, developers often encounter three core concepts: Dynamic Objects, Globals & Relational Table. Each has its role in building scalable and maintainable solutions. In this article, we'll walk through practical code examples, highlight best practices, and show how these concepts tie together.

1. Working with Dynamic Objects:

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Hi Community,

We're excited to invite you to the webinar Configuring a Web Server for use with InterSystems IRIS.

Join this webinar for an engaging and insightful tech talk on the configuration of a web server to use with InterSystems IRIS.

Date & Time: Thursday, February 27, 10:30 AM GMT

👨‍🏫 Speaker: @Steve Mallam, HealthShare Team Lead, InterSystems UK&I

2025 Tech Talk Social Tile 27 Feb

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