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#SQL

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SQL is a standard language for storing, manipulating and retrieving data in relational databases.

Parallel query hinting boosts certain query performances on multi-processor systems via parallel processing. The SQL optimizer determines when this is beneficial. On single-processor systems, this hint has no effect.

Parallel processing can be managed by:

  1. Setting the auto parallel option system-wide.
  2. Using the %PARALLEL keyword in the FROM clause of specific queries.

%PARALLEL is ignored when it applied to:

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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.cls...

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My IRIS instance is connected to a Postgres database using SQL Gateway and linked tables.
One of these tables is projected to the Patient class. I want to select a record from this table by ID and convert it to a FHIR resource using the %ExistsId and %OpenId methods.
I noticed that if I call these two methods from the console, the record is always found.

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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.

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

Part 2 – Python and Vector Search

Since we have access to the data from our external table, we can use everything that Iris has to offer with this data. Let's, for example, read the data from our external table and generate a polynomial regression with it.

For more information on using python with Iris, see the documentation available at https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls?KEY=AFL_epython

Let's now consume the data from the external database to calculate a polynomial regression. To do this, we will use a python code to run a SQL that will read our MySQL table and turn it into a pandas dataframe:

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I'm playing with some anayltic queries against FHIR server tables. The HSFHIR_X0002_S_Patient.addressCity table contains a lot of cities which names contain german charachers such as ä, ö and ü.

The following query works fine:

select value from HSFHIR_X0002_S_Patient.addressCity

But this one converts city names to uppercase, and characters with umlauts are lost, so instead of "Köln" or "München" I see KOLN and MUNCHEN:

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I am using a JDBC connection to MS SQL server to execute a stored procedure to select data and bring it into InterSystems as a EnsLib.SQL.Snapshot. I loop through the EnsLib.SQL.Snapshot using a while loop, but I also want to iterate through the Columns within that Row to do logic.

Is there a way to iterate through the Columns of the current Row of the EnsLib.SQL.Snapshot so I can apply logic/rules for further processing?

Thanks

Scott

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I am currently experiencing frustration with trying to Authenticate an Active Directory account through JDBC as the Hospital System moves from OnPrem SQL Server to using Azure SQL Server with Microsoft Entra Authentication.

Microsoft cannot give me a straight answer of what is required from a JDBC standpoint to authenticate from a Linux environment.

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when doing ETL process from cache database to mysql database(ods) and to another mysql database(dwd).

There are lots of DR columns in one table.

In the first step we need two databases to be totally consistent(ods=cache database)

However, the DR column in another database lost its meaning and become to normal number.

In the last step we do the data governance in ODS to DWD. My question is how to write sql without many `join` in this step.

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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.

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Hi, Community!

Want to improve accuracy and data integrity in your relational databases? Learn a key strategy in this video:

Setting Up SQL Foreign Key Constraints

https://www.youtube.com/embed/-kDpp6kq7Ns?utm_source=youtube&utm_medium=social&utm_campaign=-kDpp6kq7Ns
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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Here at InterSystems, we often deal with massive datasets of structured data. It’s not uncommon to see customers with tables spanning >100 fields and >1 billion rows, each table totaling hundred of GB of data. Now imagine joining two or three of these tables together, with a schema that wasn’t optimized for this specific use case. Just for fun, let’s say you have 10 years worth of EMR data from 20 different hospitals across your state, and you’ve been tasked with finding….

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Hi Community,

I've created a method in my File Service to do a cleanup for every file load. Currently, I've set it to delete data when LastUpdated date is greater than maxdate. However, I want to do a cleanup for every new file load. Any suggestions or advice on how to do this? Thanks!

Method Cleanup()
{

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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?

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Hi Everyone!

The Certification Team of InterSystems Learning Services is currently developing an InterSystems ObjectScript Specialist certification exam. Earlier this month we reached out to our community for feedback that will help us evaluate and establish the contents of this exam. We are still currently accepting responses and would love to hear your feedback!

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SQL injection remains one of the most critical vulnerabilities in database-driven applications, allowing attackers to manipulate queries and potentially access or compromise sensitive data. In InterSystems IRIS, developers have access to both Dynamic SQL and Embedded SQL, each with distinct characteristics. Understanding how to use them securely is essential for preventing SQL injection.

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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:

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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?

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