#InterSystems IRIS

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👩‍💻Looking to boost efficiency in your development and deployment process? See how Docker containers can help.

Has anyone tried the Ansible module for qlist in the article "Ansible modules and IRIS demo"?

There appears to be a bug in the qlist code as it assumes that the qlist output has an undocumented field.

I do not have the undocumented field in the output.when I run qlist so I keep getting the error "Unexpected IRIS qlist output format".

I assume that in most cases there is no undocumented field in the output.

A Quick Start to InterSystems Cloud SQL Data in Databricks

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:

## Implements Idea DPI-I-456

Idea

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Prefer not to read? Check out the demo video I created:

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It's not clear to me, when using the InterSystems Container Repository, which version is the best / most recent non-preview Community Edition version to use.

I see lots of 2023.2.x versions, a single 2023.3 and 2024.1 version, but also a latest-cd and latest-em (with no explanation as to what cd and em mean).

I assume the trick is to use one of the latest-xx ones? If so, which?

Unfortunately I haven't been able to find any explanatory information anywhere about the nomenclature conventions used.

Many thanks

I am trying to work with Epic on FHIR. Epic's documentation stated, your application makes a HTTP POST request to the authorization server's OAuth 2.0 token endpoint to obtain access token.

Set tSC = ##class(%SYS.OAuth2.Authorization).GetAccessTokenClient(pClient,pScopes,.prop,.err) returns

ERROR #9761: No key in provided JWKS for alg ES512 and kid

I check this /csp/sys/oauth2/OAuth2.JWTServer.cls?client_name=medbank and I see this:

Plotting the gnSSLocation data from my Rivian R1S across Michigan with InterSystems Cloud Document and Databricks

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