The following post outlines a more flexible architectural design for DeepSee. As in the previous example, this implementation includes separate databases for storing the DeepSee cache, DeepSee implementation and settings, and synchronization globals. This example introduces one new databases to store the DeepSee indices. We will redefine the global mappings so that the DeepSee indices are not mapped together with the fact and dimension tables.

The following post is a guide to implement a basic architecture for DeepSee. This implementation includes a database for the DeepSee cache and a database for the DeepSee implementation and settings.

This article was written as an attempt to share the experience of installing the InterSystems Caché DBMS for production environment.
We all know that the development configuration of a DBMS is very different from real-life conditions.
As a rule, development is carried out in “hothouse conditions” with a bare minimum of security measures, but when we publish our project online, we must ensure its reliable and uninterrupted operation in a very aggressive environment.

Hello again and welcome to the Part 3 - Using the SQL API!

If you have been wondering about how to use SQL along with Frontier, you came to the right place. That's because since Frontier wraps the common Caché SQL API within it's own, you need to use the API provided from it. But you don't need to worry about its learning curve, because the Frontier SQL API is really simple.

Quite a few enhancements have appeared over recent months in QEWD for easing and simplifying the creation of REST-based services. It's now even more slick and powerful, allowing you to very quickly create very high-performance, highly-scalable REST (and Web) services that make use of Cache.

I've therefore updated the training presentation deck (Part 31 on developing REST Services with QEWD). It describes all the new features with worked examples. See:

Greetings fellow Atelier users! To help new users get started, we are planning to make a list of video tutorials (e.g., how to create an Atelier project). The first one is "Introduction to Atelier", which is a brief tour of the Atelier user interface. We'd appreciate it if you could watch this video and let us know your comments. We'll be relying on your feedback to create more video tutorials to make it easier for new users to learn Atelier.

Please feel free to post your comments below. We look forward to hearing from you!

or "So you just got yelled at by your boss, for sending him an unformatted Hello World webpage"

Our previous lesson ended with us serving a Message value obtained from a Caché REST service to the client, using Angular as a runtime. While there is a lot of moving parts involved in this process, the page is not especially exciting at the moment. Before we can start adding new features, we should take a step back and review our tools.

The topic of reflection hasn't been raised in Caché forums or blogs too often. Perhaps, it happened because the notion of reflection is not explicitly defined in Caché. However, it exists in Caché and can be a very useful development tool.

1.About this article

Just like Caché pattern matching, Regular Expressions can be used in Caché to identify patterns in text data – only with a much higher expressive power. This article provides a brief introduction into Regular Expressions and what you can do with it in Caché. The information provided herein is based on various sources, most notably the book “Mastering Regular Expressions” by Jeffrey Friedl and of course the Caché online documentation. The article is not intended to discuss all the possibilities and details of regular expressions. Please refer to the information sources listed in chapter 5 if you would like to learn more. If you prefer to read off-line you can also download the PDF version of this article.