#InterSystems IRIS

Hi,

I recently had a company-enforced OS upgrade, and ever since going from mac OS 14.x to 15.x, I am currently having issues with SSL in IRIS.

An ARM (M3 pro) machine running OS 15.2, with the latest Docker Desktop (at the time of writing, 4.37.0). The Docker container runs IRIS for UNIX (Ubuntu Server LTS for x86-64 Containers) 2022.1.2 (Build 574_0_22161U). This container has not changed.

Hi,

My variable `check1` is a string. It is either the empty string (for invalid/false answer) or a non-empty string for a valid/true input. If it is valid, I want to return it. I wrote this code:

Hello Community,

Is there any option or log is available to identify who killed/terminated the running process?

Thanks!

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?

ISCLOGs are a useful debugging tool provided with IRIS that can help you troubleshoot many different issues. For more information about creating these logs, please see the following IRIS documentation: "Logging".

I have a primary dispatch class that implements %CSP.REST.AccessCheck() for some high level access checks before the route table forwards the request to the implementation classes which also implement %CSP.REST.AccessCheck() for some lower level access checks. The idea is that we know where we are in the implementation class and what the user is trying to do, so it makes more sense to check some lower level items there rather than trying to parse out the request at the dispatch class.

We all know that having a set of proper test data before deploying an application to production is crucial for ensuring its reliability and performance. It allows to simulate real-world scenarios and identify potential issues or bugs before they impact end-users. Moreover, testing with representative data sets allows to optimize performance, identify bottlenecks, and fine-tune algorithms or processes as needed. Ultimately, having a comprehensive set of test data helps to deliver a higher quality product, reducing the likelihood of post-production issues and enhancing the overall user experience.

In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects.

Hi everybody,

A customer would like to connect an IRIS database to Metabase BI. But Metabase does not have a connector that supports the IRIS database.

Metabase only supports these databases:

- Amazon Athena
- BigQuery (Google Cloud Platform)
- Druid
- MongoDB (recommend version 4.2 or higher)
- MySQL (recommend version 8.0.33 or higher, as well as MariaDB version 10.4 or higher)
- Oracle
- PostgreSQL
- Presto
- Redshift (Amazon Web Services)
- Snowflake
- SparkSQL
- SQL Server
- SQLite
- Vertica

There are three things most important to any SQL performance conversation: Indices, TuneTable, and Show Plan. The attached PDFs includes historical presentations on these topics that cover the basics of these 3 things in one place. Our documentation provides more detail on these and other SQL Performance topics in the links below. The eLearning options reinforces several of these topics. In addition, there are several Developer Community articles which touch on SQL performance, and those relevant links are also listed.

There is a fair amount of repetition in the information listed below. The most important aspects of SQL performance to consider are:

1. The types of indices available
2. Using one index type over another
3. The information TuneTable gathers for a table and what it means to the Optimizer
4. How to read a Show Plan to better understand if a query is good or bad

Dear community, my company use intersystems iris, a old version of 2019 and centos 7.9

At the moment, we are faced with a rather strange luck of iris.

Every day during working hours, we receive a error that iris primary cannot transfer the journal to the backup node.

We have availability monitoring, these errors do not affect availability in any way, but I still wanted to analyze this error.

I understand that the severity of this error is only 1, but Can someone share a diagnostic method this error?

Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Copilot for Flask FHIR SQL Builder

I need to do an audit of Linked tables which are using a specific SQL Gateway connection, and there are many.

This is defined by the parameter CONNECTION contained within the table class which extends Extends %Library.Persistent

Is parameter exposed within a table somewhere?

Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Boost Your Productivity with Command History & Shell Aliases in InterSystems IRIS

The Istio Service Mesh is commonly used to monitor communication between services in applications. The "battle-tested" sidecar mode is its most common implementation. It will add a sidecar container to each pod you have in your namespace that has Istio sidecar injection enabled.