#SQL

I have a table in the development and want to erase data from certain columns. There is info in the docs but not for human
This piece of code does not work

ALTER TABLE table DROP COLUMN column %DELDATA

If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver).

Would like to know if there is an alternative or better way to paginate through a dataset using dynamic SQL than what I am using below. The problem is that as the potential pool of data gets larger, this code slows down to the point of not being useable. In analyzing each line of code below, it appears the slow down is related to the initial rset.%Next() iteration. Is there anything available which does not require a subquery/%VID such as a simple LIMIT/OFFSET?

My code is similar to :

s sql=##class(%SQL.Statement).

Hello IRIS community,  

InterSystems Certification is developing a certification exam for InterSystems IRIS Developer professionals, and if you match the exam candidate description given below, we would like you to beta test the exam.

Migrating from Oracle, MSSQL, or other purely relational database systems to a multimodel InterSystems IRIS is a strategic decision that requires careful planning and execution. While this transition offers significant benefits, including enhanced performance, scalability, and support for modern architectures, it also comes with challenges. In this article I will highlight some of the considerations connected to coding to ensure a successful migration. I will leave everything connected to an actual migration of structures and data outside the scope of this article.

First, when you're considering migrating to a different database system, you need to understand your business logic, whether it's on the side of the application (application server) or the database server. Basically, where do you have your SQL statements that you will need to potentially rewrite? 

I have an IRIS persistent class with a %Stream property whose value is a JSON object. I'd like to use a SQL trigger to pull some value out of the JSON and persist it in another property, for easy querying and indexing. See below for a minimal example:

Class PAB.DebugStream Extends %Persistent
{

Property Contents As %Stream.GlobalCharacter;
Property msg As %String;
ClassMethod InsertRow()
{
    set stream = ##class(%Stream.GlobalCharacter).%New()
    $$$ThrowOnError(stream.Write({"msg":"hello world!"}))
    &sql(insert into PAB.

I am struggling with returning a SQL Query Result that may have multiple rows that can be searched.

 set query = "SELECT Facility FROM FROM osuwmc_EnterpriseDirDB.RelationshipMedCtrID WHERE OSUmedcenterID = ?"
 SET rset = ##class(%SQL.Statement).%New()
 SET qStatus = rset.%Prepare(query)
 SET rset = rset.%Execute($Get(ID))
 do rset.%Display()

I need to take the values that are returned and say search them for a single value. How would I go about returning the EnsLib.SQL.Snapshot into a Array or List for it to be searchable.

I have a general question about HealthShare Provider Directory using Code Tables on disk vs Cache SQL Tables. Why is Provider Directory not using the Cache SQL Tables within the IRIS platform?

When working with InterSystems IRIS, database developers and architects often face a critical decision: whether to use Dynamic SQL or Embedded SQL for querying and updating data. Both methods have their unique strengths and use cases, but understanding their performance implications is essential to making the right choice. Response time, a key metric in evaluating application performance, can vary significantly depending on the SQL approach used. Dynamic SQL offers flexibility, as queries can be constructed and executed at runtime, making it ideal for scenarios with unpredictable or highly variable query needs. Conversely, Embedded SQL emphasizes stability and efficiency by integrating SQL code directly into application logic, offering optimized response times for predefined query patterns.

In this article, I will explore the response times when using these two types of SQL and how they depend on different class structures and usage of parameters. So to do this, I'm going to use the following classes from the diagram:

The 2024.1.4 and 2023.1.6 maintenance releases of InterSystems IRIS^® data platform, InterSystems IRIS^® for Health^TM, and HealthShare^® Health Connect are now Generally Available (GA). These releases include the fixes for the following alert recently issued - Alert: SQL Queries Returning Wrong Results | InterSystems. Please share your feedback through the Developer Community so we can build a better product together.

I was wondering if someone could help me. In the past I have been able to call external Stored Procedures through a SQL Outbound Connection and have them return me the EnsLib.SQL.Snapshot to use within a BPL to extract data.

But this time instead of using a SQL Outbound BO to make the Stored Procedure call, I decided to create a Linked Stored Procedure through the %JDBC_Server to point to the Stored Procedure out on MS SQL.

However, I am struggling to get the code just right to return the Column value from the Linked Stored Procedure.

 set result = ##class(EnsLib.SQL.Snapshot).

Hey Community,

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

👉SQL Cloud Services

⏱ Date & Time: Thursday, April 24, 2025 14.30-15.30 UK

👨‍🏫 Speaker: @Kinshuk Rakshith, Sales Engineer, InterSystems

An experiment on how to use the LangChain framework, IRIS Vector Search, and LLMs to generate IRIS-compatible SQL from user prompts.

This article was based in this notebook. You can run it with a ready to use environment with this application in OpenExchange.

Setup

First, we need to install the necessary libraries:

!

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.

What I find really useful about IRIS when teaching my subject of Postrelational databases is the fact that it is a multi model database. Which means that I can actually go into architecture and structure and all that only once but then show the usage of different models (like object, document, hierarchy) using the same language and approach. And it is not a huge leap to go from an object oriented programming language (like C#, Java etc) to an object oriented database.

However, along with advantages (which are many) come some drawbacks when we switch from object oriented model to relational. When I say that you can get access to the same data using different models I need to also explain how it is possible to work with lists and arrays from object model in relational table. With arrays it is very simple - by default they are represented as separate tables and that's the end of it. With lists - it's harder because by default it's a string. But one still wants to do something about it without damaging the structure and making this list unreadable in the object model.

So in this article I will showcase a couple of predicates and a function that are useful when working with lists, and not just as fields.

Prompt

Firstly, we need to understand what prompt words are and what their functions are.

Prompt Engineering

Hint word engineering is a method specifically designed for optimizing language models.
Its goal is to guide these models to generate more accurate and targeted output text by designing and adjusting the input prompt words.

I need to generate a DDL file from a .cls class that already exists, the idea is to create a mirror table in SQL. Is it possible to do this export or do I need to do the CREATE TABLE manually?

I have a business service which is responsible for some batch operations with an SQL table. The process is generally slow but it is possible to scale the performance using multithreading and/or parallel processing and logical partitioning (postgres):

select id, col1, col2, mod(row_number() over (), 4) as partition from some_table;

Thus, a partition index will be assigned to each table row. The idea is to create several instances of my business service using pooling (e.g. Pool Size = 4) so each business service instance will be responsible to hande rows belonging to a certain partition, e.g.

Here is my code:

Method getStocks(pRequest As Stock.Message.Req, Output pResponse As Ens.StreamContainer) As %Status
{
     s tSC = pRequest.NewResponse(.pResponse)
     q:$$$ISERR(tSC) tSC

     #dim pRS As EnsLib.SQL.GatewayResultSet

     s tSC = ..Adapter.ExecuteQuery(.pRS, "select jsonb_agg(s) #>> '{}' FROM prod.stocks s where s.""Warehouse"" = ?", pRequest.Warehouse)
     q:$$$ISERR(tSC) tSC

     s pResponse = ##class(Ens.StreamContainer).%New()
     s pResponse.Stream = ##class(%GlobalCharacterStream).%New()

     i pRS.Next() {
          d pResponse.Stream.CopyFrom(pRS

InterSystems Announces General Availability of InterSystems IRIS, InterSystems IRIS for Health, and HealthShare Health Connect 2025.1

The 2025.1 release of InterSystems IRIS® data platform, InterSystems IRIS^® for Health^TM, and HealthShare^® Health Connect is now Generally Available (GA). This is an Extended Maintenance (EM) release.

The FHIR standard establishes a powerful but flexible data model that can smoothly adapt to the complexities of operational healthcare data management. This flexibility comes at the cost of a data model with many tables and relationships, even for simple data such as the patient's record of telephone numbers, addresses, and emails. It would easily require querying 4 different tables. However, FHIR SQL Builder eliminates this problem, allowing you to create visual projections (mappings) in web wizards.

I have the need to query an external database and write the result set/snapshot to an internal %Persistent [ DdlAllowed ] table that I built. I have built inbound SQL Services before and write them externally to replace SSIS jobs, but how would querying a database via a Service and writing the data to an internal table work?

Can I just take the inbound query structure and write it to the class file of the internal table in a DTL? If so, what would be the Target? Or does this need to be done within a BPL as a Code block?

After so many years of waiting, we finally got an official driver available on Pypi

Additionally, found JDBC driver finally available on Maven already for 3 months,  and .Net driver on Nuget more than a month.

 As an author of so many implementations of IRIS support for various Python libraries, I wanted to check it. Implementation of DB-API means that it should be replaceable and at least functions defined in the standard. The only difference should be in SQL.

And the beauty of using already existing libraries, that they already implemented other databases by using DB-API standard, and these libraries already expect how driver should work.

I decided to test InterSystems official driver by implementing its support in SQLAlchemy-iris library.

My query that I am running on my Custom SQL Inbound Service has columns that are larger than the typical string length. How do I enlarge the SQL Snapshot Column limitations 

Class osuwmc.Epic.Clarity.

We recently changed the 'UserID" property in a "User" class from type of %String to be %Library.Username. This is for better consistency across our codebase regarding MAXLEN limit.

%Library.Username is a system wrapper datatype which extends %String and has a MAXLEN of 160. This change should have minimal/no impact on code behavior. However, we found that some SQL query cannot return expected rows after the change. Query will return empty values even if the entry is in the table.

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?

Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 3 – REST and Interoperability

Now that we have finished the configuration of the SQL Gateway and we have been able to access the data from the external database via python, and we have set up our vectorized base, we can perform some queries. For this in this part of the article we will use an application developed with CSP, HTML and Javascript that will access an integration in Iris, which then performs the search for data similarity, sends it to LLM and finally returns the generated SQL. The CSP page calls an API in Iris that receives the data to be used in the query, calling the integration. For more information about REST in the Iris see the documentation available at https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cl…

Introduction

To achieve optimized AI performance, robust explainability, adaptability, and efficiency in healthcare solutions, InterSystems IRIS serves as the core foundation for a project within the x-rAI multi-agentic framework. This article provides an in-depth look at how InterSystems IRIS empowers the development of a real-time health data analytics platform, enabling advanced analytics and actionable insights. The solution leverages the strengths of InterSystems IRIS, including dynamic SQL, native vector search capabilities, distributed caching (ECP), and FHIR interoperability. This innovative approach directly aligns with the contest themes of "Using Dynamic SQL & Embedded SQL," "GenAI, Vector Search," and "FHIR, EHR," showcasing a practical application of InterSystems IRIS in a critical healthcare context.

In the world of APIs, REST is very extended. But what happens when you need more flexibility in your data-fetching strategies? For instance letting the client to choose what fields is going to receive. Enter GraphQL, a query language for your APIs that provides a flexible alternative to REST.

In this post, we will:

• Compare REST and GraphQL.
• Dive into the basics of GraphQL: Queries, Mutations, and HTTP.
• Build a simple GraphQL server implementation using Graphene, SQLAlchemy, and Flask over data in InterSystems IRIS.
• Explore how to deploy your GraphQL server as a WSGI application in IRIS.