I have notified that on several servers the IRISTEMP database is reported as only a few GB in size while on the disk where it's located, the IRIS.DAT file is much bigger (eg: 3GB reported in Portal (including free space) while file on the disk file is 121GB). The last modification date of IRIS.DAT is recent so I'm not looking into a location no more in use.

Is there an explanation for that difference in size ?

Hi,

I've been working on a very basic Interoperability production in my computer. I followed one of the examples in the courses and created a TEST.FileRouterRoutingRule, but when trying to edit this rule, it takes me to the Rule Editor Login Page, where I can't get in (Not even with the _SYSTEM credentials) - Is this functionality unavailable in the community edition?

Background

Embeddings is a new IRIS feature empowering the latest capability in AI semantic search.
This presents as a new kind of column on a table that holds vector data.
The embedding column supports search for another existing column of the same table.
As records are added or updated to the table, the supported column is passed through an AI model and the semantic signature is returned.
This signature information is stored as the vector for future search comparison.

You probably know this situation:
Some time ago, you found a very special $ZU function for a very specific type of problem. Some kind of mystical formula. It became popular and was used by many developers throughout your code and across all your installations.

Several versions and updates later, you are informed by ISC that your mystical $ZU is deprecated and no longer supported. You are advised to replace it with a new $something().

Hey Community,

We're excited to invite you to the next InterSystems UKI Tech Talk webinar:

👉Unlocking the Power of InterSystems Data Studio

⏱ Date & Time: Thursday, May 29, 2025 10:30-11:30 UK

👨‍🏫 Speaker: @Saurav Gupta, Data Platform Team Lead, InterSystems

Hi Guys,

I'm getting the below error when trying to train my Model

This is the table I created my model from

Thanks

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Driving Optimal Business Outcomes: InterSystems Supply Chain Solutions @ Global Summit 2024

https://www.youtube.com/embed/HWgYL3Rc2KI
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Hey Community,

It's time for the new batch of #KeyQuestions from the previous month.

InterSystems IRIS interoperability production development involves using or writing various types of components. They include services (which handle incoming data), processes (which deal with the data flow and logic), and operations (which manage outgoing data or requests).

Maybe this is well known but wanted to help share.

Consider that you have the following persistent class defintions

An Invoice Class with a property reference to Provider

Using Cache 2017.2 sever as my target.

I have a x64 Ubuntu client setup going. This is NOT server. Just client.

I have the Linux Ubuntu x64 ODBC driver gzip file.

ODBC-2018.1.5.659.0-lnxubuntux64.tar.gz is all I could find. Someone posted it in another post.

I can connect to a test sever that does NOT use SSL. That works pretty easily.

But I have A server with SSL enabled. With Windows Cache ODBC drivers I can use SSL just fine.

This is what my SSLDefs.ini file on the Windows machines look like and it works just fine.

Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Unit Testing with IPM

https://www.youtube.com/embed/JYoazPzzlUQ
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Test Objectives

InterSystems has been testing Vector Search since it was announced as an “experimental feature” in IRIS 2024.1. The first test cycle was aimed at identifying algorithmic inefficiencies and performance constraints during the Development/QD cycle. The next test cycle used simple vector searches for single threaded performance analysis to model reliable, scalable and performant behaviour at production database scale in IRIS, and performed a series of comparative tests of key IRIS vector search features against PostgreSQL/pgvector. The current test cycle models the expected behaviour of real-world customer deployments using complex queries that span multiple indices (vector and non-vector) and run in up to 1000 concurrent threads. These tests will be run against IRIS, PostgreSQL/pgvector, and ElasticSearch

Using IRIS 2024.1.2 when I mount the routine database as read-only I get an error when executing dynamic SQL queries.

What globals need to be mapped in a read-write database in order to allow execution plans to be written?