Hi community.

I have a query:

Hello community,

I wanted to share my experience about working on Large Data projects. Over the years, I have had the opportunity to handle massive patient data, payor data and transactional logs while working in an hospital industry. I have had the chance to build huge reports which had to be written using advanced logics fetching data across multiple tables whose indexing was not helping me write efficient code.

Here is what I have learned about managing large data efficiently.

Choosing the right data access method.

As we all here in the community are aware of, IRIS provides multiple ways to access data. Choosing the right method, depends on the requirement.

• Direct Global Access: Fastest for bulk read/write operations. For example, if i have to traverse through indexes and fetch patient data, I can loop through the globals to process millions of records. This will save a lot of time.

Set ToDate=+H
Set FromDate=+$H-1 For  Set FromDate=$O(^PatientD("Date",FromDate)) Quit:FromDate>ToDate  Do
. Set PatId="" For  Set PatId=$Order(^PatientD("Date",FromDate,PatID)) Quit:PatId=""  Do
. . Write $Get(^PatientD("Date",FromDate,PatID)),!

• Using SQL: Useful for reporting or analytical requirements, though slower for huge data sets.

Hi Team,

Can I please check if anyone has built a simple web interface for maintaining custom SQL lookup class.

We have a simple persistent class in HealthShare which is used for storing Pathology test codes. Test codes in this lookup class is used for message filtering and applying additional logic when processing pathology results/orders.

Is there a way to create a table for the results of a SQL statement ?

Example: Consider the below query and results.

Select ID,Name,DOB,Gender from EMS.EMS

RESULT

Introduction

In a previous article, I presented the IRIStool module, which seamlessly integrates the pandas Python library with the IRIS database. Now, I'm explaining how we can use IRIStool to leverage InterSystems IRIS as a foundation for intelligent, semantic search over healthcare data in FHIR format.

This article covers what I did to create the database for another of my projects, the FHIR Data Explorer. Both projects are candidates in the current InterSystems contest, so please vote for them if you find them useful.

You can find them at the Open Exchange:

• IRIStool and Data Manager
• FHIR Data Explorer

In this article we'll cover:

• Connecting to InterSystems IRIS database through Python
• Creating a FHIR-ready database schema
• Importing FHIR data with vector embeddings for semantic search

When we need to integrate Caché/IRIS with other relational databases, one common question arises: “How do I set up the JDBC connection?”.
The official documentation doesn’t always provide a straightforward step-by-step guide, which can be frustrating, especially for beginners.

I joined InterSystems less than a year ago. Diving into ObjectScript and IRIS was exciting, but also full of small surprises that tripped me up at the beginning. In this article I collect the most common mistakes I, and many new colleagues, make, explain why they happen, and show concrete examples and practical fixes. My goal is to help other new developers save time and avoid the same bumps in the road.

InterSystems FAQ rubric

One way to optimize query performance is to use query parallelism on a per-query or system-wide basis (a standard feature).

This is a technique for dividing the execution of a particular query among processors on a multi-processor system. The query optimizer will execute parallel processing only if there is a possibility of benefiting from parallel processing. Parallel processing is only applicable to SELECT statements.

In the previous article, we saw how to build a customer service AI agent with smolagents and InterSystems IRIS, combining SQL, RAG with vector search, and interoperability.

In that case, we used cloud models (OpenAI) for the LLM and embeddings.

This time, we’ll take it one step further: running the same agent, but with local models thanks to Ollama.

We currently have Business Operation that we built to use the EnsLib.SQL.OutboundAdapter so we can make Microsoft SQL Server Stored Procedure calls. The BO is attached to a Java Gateway Service.

Some of our MS SQL Databases have moved from being OnPrem to Azure Cloud. We have started seeing where we are receiving errors on the BO saying that we cannot connect to the Azure Database, but we never receive a Disconnect from the Azure Database.

Hello,

I am currently maintaining a legacy application that was developed in ObjectScript and accesses data by working directly with globals.
For a new program, however, I plan to access the same global data through SQL-mapped classes.

I have two questions regarding this approach:

I had a need for a Filter, but did not want to recreate the wheel by creating another Data Lookup Table, so instead I created a Linked Table that points to a MS SQL Table outside of IRIS.

Once I had the Linked Table, I created a Class Method Function that would query the Linked Table and return a 1 if a result came back.

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:

Hi folks!

Consider I have a class "X.Y.Z"

What is the SQL table name for it? How can I obtain it via ObjectScript?

A quick search doesn't show any methods and properties. Documentation is a bit "wrong" here saying that the SQL table name is the same. It will be at least 'x_y.z'.

Any help is very appreciated!)