InterSystems' iKnow technology allows you to identify the concepts in natural language texts and the relations that link them together. As that's still a fairly abstract definition, we produced this video to explain what that means in more detail. But when meeting with customers, what really counts is a compelling demonstration, on data that makes sense to them, so they understand the value in identifying these concepts over classic top-down approaches. That's why it's probably worth spending a few articles on some of the demo apps and tools we've built to work with iKnow.

In the first article in this series, we'll start with the Knowledge Portal, a simple query interface to explore the contents of your domain.

Embedded SQL is a tool that allows us to execute SQL statements in Caché Object Script. For example, to select the name of a person with a particular SSN from the Sample.Person class we can do the following:

After a five-part series on sample iKnow applications (parts 1, 2, 3, 4, 5), let's turn to a new feature coming up in 2017.1: the iKnow REST APIs, allowing you to develop rich web and mobile applications. Where iKnow's core COS APIs already had 1:1 projections in SQL and SOAP, we're now making them available through a RESTful service as well, in which we're trying to offer more functionality and richer results with fewer buttons and less method calls. This article will take you through the API in detail, explaining the basic principles we used when defining them and exploring the most important ones to get started.

Caché Localization Manager

CLM is a tool for localization/internationalization/adding multi-language support to a project based on InterSystems Caché.

Imagine that you have a ready project where all the content is in Russian, and you need to add an English localization to it. You wrap all your strings into resources, translate them into English and call the necessary resource for Russian or English when necessary. Nothing tricky, if you think about it. But what if there are lots of strings and there are mistakes in Russian (or English)? What if you need to localize in more than one language – say, ten? This is exactly the kind of project where you should use CLM. It will help you localize the entire content of your project into the necessary language and retain the possibility to correct entries.

I was recently asked whether we have a function to convert LDAP date time stamps into $HOROLOG format or other formats and the answer is not at the moment, but there is a simple method to do the conversion.

Let us look at the facts and figures involved...

1) Active Directory's (AD) date 0 (zero) is 1601-01-01 00:00:00.000 or January 1st, 1601 at midnight (00:00:00)

2) AD timestamps are calculated as the number of 100 nanosecond intervals from date 0

3) 864000000000 is the number of 100 nanosecond intervals per day

New Book, Caché and MUMPS – Part II

By Paul Mike Kadow

Edited by Deborah Graham and John J. Mitchell

Go to http://cosmumps.org for a download of just the examples of the book and the table of contents.

From the Forward

InterSystems, from a humble beginning, has grown into a worldwide company with its flagship product, Caché, leading the way.

First, this book chronicles and explores some of the many areas InterSystems has grown into and has influenced over the years.

This article is translation of one from Habrahabr InterSystems blog (Russian).
The original post can be found here: https://habrahabr.ru/company/intersystems/blog/251611/

In most cases, if one class depends on another, the class compiler will detect this and determine the correct compilation order. For example:

I am pleased to announce the field test of Caché and Ensemble 2017.1, including many new improvements.

The product team at InterSystems looks forward to your participation in the field test and feedback over the coming months.

For those who don't have a chance to vote elsewhere today, or for those who want to vote more than once , here's a poll for Ensemble users.

Hello

I have noticed that Cache (2016.1 at the time of writing) doesn't come with a systemd startup script for RHEL7.

Here is a small example script I have built.

[Unit]
Description=Intersystems Cache

[Service]
Type=forking
ExecStart=/bin/bash -c '/usr/cachesys/cstart 2>&1 | logger -t cache_start'
ExecStop=/bin/bash -c '/usr/cachesys/cstop quietly 2>&1 | logger -t cache_stop'
RemainAfterExit=yes

[Install]
WantedBy=multi-user.target

The file should be placed as /usr/lib/systemd/system/cache.service

In part I of this series we have introduced MapReduce as a generic concept, and in part II we started to approach Caché ObjectScript implementation via introducing abstract interfaces. Now we will try to provide more concrete examples of applications using MapReduce.

Developing an idea with RuleEngine in XData, we could even refuse from editing full class and edit only valuable xml. Sometime ago I have already written an article(in russian) about such possibility, even more, in that article I wrote about compilable JavaScript to Caché.

Many of us installed Ensemble a few years ago, estimated space to be sufficient and now run into surprise - hard drives are getting full!