In the world of Big Data, selecting the right file format is crucial for efficient data storage, processing, and analysis. With the massive amount of data generated every day, choosing the appropriate format can greatly impact the speed, cost, and accuracy of data processing tasks. There are several file formats available, each with its own set of advantages and disadvantages, making the decision of which one to use complex. Some of the popular Big Data file formats include CSV, JSON, Avro, ORC, and Parquet.

InterSystems FAQ rubric

To resolve the error <PROTECT>, remove the read-only attribute of the system-wide library database (IRISLIB for InterSystems IRIS, CACHELIB for Caché/Ensemble/HealthShare (Caché-based))

Once you have finished importing the routine, remember to change it back to read-only.

[Version 2013.1 and above]
[Management Portal] > [System Administration] > [Configuration] > [System Configuration] > [Local Database] Uncheck "Mount read-only" from the database name link.

I am often asked by customers, vendors or internal teams to explain CPU capacity planning for large production databases running on VMware vSphere.

In summary there are a few simple best practices to follow for sizing CPU for large production databases:

• Plan for one vCPU per physical CPU core.
• Consider NUMA and ideally size VMs to keep CPU and memory local to a NUMA node.
• Right-size virtual machines. Add vCPUs only when needed.

Generally this leads to a couple of common questions:

Motivation

The motivation behind the InterLang project is rooted in the innovative integration of LangChain chatbot agents with the Fast Healthcare Interoperability Resources (FHIR) framework to revolutionize conversational social prescriptions in healthcare. This project aims to leverage the rich and standardized data available through FHIR, an emerging standard in healthcare data exchange, to inform and empower these advanced chatbot agents.

Overview

In our previous post, we discussed the motivation for developing a chatbot agent with access to FHIR resources. In this post, we will dive into the high-level design aspects of integrating a Streamlit-based chat interface with a Java SpringBoot backend, and enabling a LangChain agent with access to FHIR (Fast Healthcare Interoperability Resources) via APIs.

Currently, many digital artists use generative AI technology as a support to accelerate the delivery of their work. Nowadays it is possible to generate a corresponding image from a text sentence. There are several market solutions for this, including some available to be used through APIs. See some at this link: https://www.analyticsvidhya.com/blog/2023/08/ai-image-generators/.

Based on the successful solution for my 2nd contribution to the Contest
I used an adapted version for this package. And have some findings I'd like to share.

Multiple communication steps over CPIPE may take time.
You won't recognize it on a fast machine. But a slower box with
Windows + Docker Desktop + your browser (and more) is neither
"Speedy Gonzales" nor a "Road Runner". 🙂

InterSystems FAQ rubric

A tool (^GLOBUFF utility) is available to check the database cache usage for each global variable.

You can run the utility directly or programmatically in the %SYS namespace.

Here's how to run the utility directly:

In my previous articles, I described my Command Line Extension to NativeAPI.
Of course, this is also available for any other NativeAPI package.
So I created this example as a demo for the actual Java Contest.

The package contains also an IRIS server in Docker for the demo
It is evident that it also works with any remote IRIS server.
You just have to provide it with my NativeAPI CommandLine Extension.

InterSystems FAQ rubric

To create a user-defined error you need to prepare the XML that describes the error code and corresponding message that you want to use as a user-defined error.

Please set the error code as a negative integer.

InterSystems FAQ rubric

For routines (*.mac)

You can hide the source by exporting/importing only the *.obj that is generated after compiling the source program.

The command execution example specifies EX1Sample.obj and EX2Sample.obj, which are generated by compiling EX1Sample.mac and EX2Sample.mac, as export targets and exports them to the second argument file.

After moving to another namespace, I am using the exported XML file to perform the import.

InterSystems FAQ rubric

ObjectScript allows you to pass any number of arguments using arrays. Do it by adding ... after the argument name.

An example is as follows. In the example statement, the argument information is set in a global variable (a variable stored in the database) so that it can be easily checked after the method is executed.

InterSystems FAQ rubric

In the sample below, an image file is encoded into a Base64 string in a class property, saved, decoded again with Base64, and restored to another file.

【Usage class】

Class User.test Extends %Persistent
{
Property pics As %GlobalBinaryStream;
}

【When importing】

Are you preparing to use VS code for the first time? Just make sure you have enough privileges.

Have you defined your Iris server in your VS Code settings, and still get the following error?

VS Code accesses Iris/HealthConnect using the web application /api/atelier. If you do not have permission (i.e. you are using an LDAP user to connect and the web application is not configured to support LDAP), this is the reason why you couldn't connect.