Hello again and welcome to the next tutorial on this series: Part 4 - Sharing data across router methods. Here we are going to learn how to share a object containing data that is available for read across every router methods.

You're required to complete at least the Part 1 before entering this one. Still, this is supposed to be a really short tutorial, since there isn't much to be said about data sharing.

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If you have an app that uses some Caché client Windows components that are not included into CacheODBC distribution (e.g. CacheActiveX.dll), you need to proceed Caché client installation on end user's client computers and/or MS Terminal Servers. Being a part of Caché client's installation, Caché Cube is installed along with other components and is autostarted with every user's session. So, it becomes visible to every user.

To make it completely invisible, you can just move CACHE.lnk file from

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One of the most important features during application development is the ability to debug your code easily. Because of the asynchrnous nature, a standard Node.js application server works single-threaded by default. When you are developing applications using an IDE like Visual Studio Code, you can very easily debug your Node.js process:

First, download the free Visual Studio Code IDE (@code) and install it on your development machine.

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Article
· Sep 28, 2017 1m read
Terminal license expire message

If you are facing out the license expire warning message on your terminal ("*** Warning: This Cache license will expire in 3 days ***") and you do not want that message to be displayed, you can disable/enable that by rinning the following commands:

Do ExpirationMessageOff^%SYS.LICENSE - Disable

Do ExpirationMessageOn^%SYS.LICENSE - Enable

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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.

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Article
· Apr 18, 2017 1m read
Having your Node.js Cake and Eating It Too

I've mentioned the QEWD project in this group before: it's a Node.js-based platform for web, Native and REST applications which tightly integrates with Cache. It uses a somewhat different philosophy to the use of Node.js than the norm, and I've now published an article that explains this approach and the unique benefits that arise as a result.

It turns out that, integrated via QEWD, Cache is an ideal bed-fellow for Node.js. QEWD makes the integration of Cache and Node.js exceptionally fast, simple and intuitive to use, but also extremely powerful.

Read the article here:

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Hello.

The idea of this post is to introduce Frontier: An abstraction layer that allows Rapid REST development.

REQUIREMENTS:

Why?

Have you ever found yourself dealing with repetitive tasks like mounting objects, serializing them and eventually handling multiple errors for multiple cases? Frontier can boost your development by making you focus on what really matters: your application.

Frontier is made to stop you from WRITE'ing by instead forcing your methods to return values.
It's designed to make you code clean, and you'll see the why pretty soon.

This is the Part 1, where you'll learn he basics about how to work with Frontier. That means at the end of this part you should be capable of

creating GET requests without difficulties. Since this also serves as a way to introduce the framework, I'll be calling this part: Core concepts.

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a.k.a.. "The World of Widgets Returns!" or "Paternity leave damages Instructional Series momentum"

In our last lesson, we combined 2 separate classes to appear as the same property. We now have the ability to Update our Widget catalog, but what if we want to Create a Widget? Thankfully, we've already done 90% of what we need, just by implementing Edits

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Article
· Apr 27, 2017 7m read
Level up your XDATA

XDATA is used for a whole host of ISC libraries to store things like Zen pages, BPL logic and DTL transformations.

XDATA is the equivalent of XML config files of the JAVA world and JSON config files of the JavaScript / NPM world.

Whilst Atelier looks to shift source code to the disk, XDATA will remain a key component to source control our projects config / meta data.

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I wanted to share a little tidbit which is in the Studio documentation (http://docs.intersystems.com/cache20152/csp/docbook/DocBook.UI.Page.cls?...) but many people who have been using the InterSystems Studio for a long time missed the addition of this *very* useful feature, and every time I mention this to an audience I see at least one face light up because of how excited they are to learn about it!

Within Studio, the Output pane (View -> Output) is actually misnamed. It is actually an Input/Output window which can be used to run Caché ObjectScript commands!

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Article
· Jul 31, 2017 5m read
Introduction to QEWD Micro-Services

In my previous posting about the new support in QEWD for JSON Web Token (JWT) support, I mentioned that it was a key step in enabling Micro-Service support in QEWD. In this post I'll give some background to how they work and the thinking behind them.

If you haven't heard about Micro-Services and/or want to learn more, there's lots of information available if you do a Google Search. Here's a good starting point:

https://smartbear.com/learn/api-design/what-are-microservices/

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tl;dr I have discovered that using $THIS in a very specific way will make persistent objects go stale.

I found that it only happens when using $get on an array that contains the OID reference of $THIS. I assume that this is an unwanted feature and have raised a WRC. The problem can be recreated following the steps below, I have also posted the workaround that I am currently testing and looks to be working fine.

1. Create a persistent class...

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This post will show you an approach to size shared memory requirements for database applications running on InterSystems data platforms including global and routine buffers, gmheap, and locksize as well as some performance tips you should consider when configuring servers and when virtualizing Caché applications. As ever when I talk about Caché I mean all the data platform (Ensemble, HealthShare, iKnow and Caché).


A list of other posts in this series is here

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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:

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Here's one way to determine if a class is mapped (i.e. it is in a package whose definitions come from a database other than the default code database for the current namespace):

SAMPLES>w ##class(%Library.RoutineMgr).IsMapped("Cinema.Film.cls")
0
SAMPLES>w ##class(%Library.RoutineMgr).IsMapped("%iKnow.Objects.Source.cls")
1
SAMPLES>

If you pass a by-ref second argument to IsMapped you can also discover what database the class definition is stored in:

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Hyper-Converged Infrastructure (HCI) solutions have been gaining traction for the last few years with the number of deployments now increasing rapidly. IT decision makers are considering HCI when scoping new deployments or hardware refreshes especially for applications already virtualised on VMware. Reasons for choosing HCI include; dealing with a single vendor, validated interoperability between all hardware and software components, high performance especially IO, simple scalability by addition of hosts, simplified deployment and simplified management.

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Article
· Aug 8, 2017 1m read
Outperforming PostgreSQL and MySQL

In a previous exercise, I was able to show the power of Caché.
A medium-designed set of interdependent tables with some GB of data.
URLs cross reference over some million pages resulting in ~3 billion records

Competition was between

  • Caché
  • PostgreSQL
  • MySQL

Criteria were Speed + Storage consumption
I composed a customized loader fed over a "raw" TCP connection
Mapping the "objects" into the final table by directly writing to Global Storage.,

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Article
· Aug 5, 2017 3m read
Winning in GIS competition

GIS stands for Geographic Information System.
and it's not a typical arena for Caché. But it's definitely an environment with high data volume.

You see 3 major areas

- Visual front end:
A mature area well covered by a bunch of commercial and open source products.
No need for Caché there.

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