Our company is in the process of converting our software for use in Intersystems IRIS and one of the major sections of the software makes use of a custom statically-linked C library using the $ZF("function-name") functionality. During this, I found out that the process for setting up the C library to be used within the database platform has changed significantly between Cache and IRIS.
The "apptools-admin" project is not only a set of tools for the administrator, but a platform for the rapid creation of a prototype of any solution.
For example, Photo Album, Music Player, and Personal Library all come together in a user-friendly treasure chest design.
Suppose you have an application that allows users to write posts and comment on them. (Wait... that sounds familiar...)
For a given user, you want to be able to list all of the published posts with which that user has interacted - that is, either authored or commented on. How do you make this as fast as possible?
Here's what our %Persistent class definitions might look like as a starting point (storage definitions are important, but omitted for brevity):
My previous article introduced you to SQL based Basic Class Query where a clever wizard created all the required code for you and your essential contribution was an SQL statement.
Now we enter the real Custom Class Query thatprovides more freedom but requires a deeper understanding of the mechanic behind the scene. The full code example is again on GitHub
My team is working on redesigning an Interoperability solution that currently runs on a HealthShare server that is part of a mirror. Most of the messages are delimited records processed using Complex Record Mapping. We were told to utilize cloud services available in AWS, use containers, autoscaling…
Welcome to NewBie's Corner, a weekly or biweekly post covering basic Caché Material.
InterSystems Caché provides a GUI (Graphical User Interface) based Integrated Development Environment (IDE) called Caché Studio. Developers can use Studio to create and maintain applications.
Controlling Process Flow
Controlling Process Flow means controlling the execution path of code. The execution of code flows from the top to the bottom in a routine, except for the following:
In this short article I would like to present an example of use that surely many of you who work with IRIS as the backend for your web applications have faced on more than one occasion and it is how to send a file to your server from the frontend.
Presenter: Alex MacLeod Task: Use Personal Community to build fully responsive and mobile-compatible portals Approach: Demonstrate the new release of Personal Community. Provide a behind-the-scenes look at the new application development framework used to build it.
The new release of Personal Community v11 is now fully responsive and mobile compatible. It uses a new framework for development. In this session, we will give a functional overview of Personal Community, demo the new release and give a look behind the scenes into the application development framework used.
Content related to this session, including slides, video and additional learning content can be found here. Please note that this content is available only to HealthShare customers and attendees of the Global Summit. On the learning web site you will be prompted for your Global Summit credentials to access this content.
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.
When there's a performance issue, whether for all users on the system or a single process, the shortest path to understanding the root cause is usually to understand what the processes in question are spending their time doing. Are they mostly using CPU to dutifully march through their algorithm (for better or worse); or are they mostly reading database blocks from disk; or mostly waiting for something else, like LOCKs, ECP or database block collisions?
In a fast-paced digital era, effective communication is crucial. This article introduces a Java-based chat project, combining the strength of IRIS database and ChatGPT intelligence. Built on Java, it goes beyond real-time messaging, leveraging IRIS and ChatGPT for an enhanced chat experience. Also, the name of the project references the cultural classic - Star Wars.
Previously I had published The Article about the dataset from a real webserver, which can demonstrate how can activity and load of the Apache webserver depends on day of week, search engines indexing and some network noise.
Now I want to describe one useful function for most of webmasters and system administrators who are interested in obtaining of exactly information about visitors, hardware usage, and also about errors that gaing to their clients.
For several weeks I'm creating reviews on OEX. So I'd like to explain to you the criteria that I apply to find my ratings. Of course, each reviewer is an independent person and has his own criteria and his own opinion. And that's good and important! As Winston Churchill once said:
"If 2 people always have the same opinion, then 1 of them is superfluous"
Presenter: André Cerri Task: Use third-party visualization tools to present your DeepSee data Approach: Use DeepSee REST services to access DeepSee data from third-party tools
Come see examples of how you can use popular 3rd party data visualization tools to access your DeepSee data.
Content related to this session, including slides, video and additional learning content can be found here.
Allow limited durability for demo and development IRIS-Docker-micro-Durability During development of a container based demo I found the need to access a fresh docker an instance of IRIS image (e.g intersystems/iris-community:2020.2.0.199.0) over and over. To bypass loading my code repeatedly I developed this workaround.
In my previous articles I demonstrated the steps to connect and retrieve data from Caché from Appeon PowerBuilder by using ODBC. In this article I will demonstrated how to Save data to Caché with Appeon PowerBuilder (https://www.appeon.com/products/powerbuilder) by using ODBC
The Telegram Adapter for InterSystems IRIS serves as a bridge between the popular Telegram messaging platform and InterSystems IRIS, facilitating seamless communication and data exchange.
Presenter: Joe Gallant Task: Create a good analytical data model Approach: Discuss what makes a good analytical data model. Provide examples of using DeepSee’s APIs for building custom dimensions, measures, and KPIs
Data models are the foundation of effective analytics. This session focuses on the factors that make good analytics data models.
Content related to this session, including slides, video and additional learning content can be found here.
I am pleased to announce the next 2016.2 field test kit, 2016.2.0.609.0.
This is a relatively light update with only a few dozen changes from the previous field test, spread out across all areas of the product. Also, in a break from the recent past, this update doesn’t contain any new fixes to problems found in the field.
Please download the kit and give it a try; the latest field test of 2016.2 is available HERE. And, as always, we welcome your feedback.
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