Created by Daniel Kutac, Sales Engineer, InterSystems

 

Part 3. Appendix

InterSystems IRIS OAUTH classes explained

In the previous part of our series we have learned about configuring InterSystems IRIS to act as an OAUTH client as well as authorization and authentication server (by means of OpenID Connect). In this final part of our series we are going to describe classes implementing InterSystems IRIS OAuth 2.0 framework. We will also discuss use cases for selected methods of API classes.

The API classes implementing OAuth 2.0 can be separated into three different groups according to their purpose. All classes are implemented in %SYS namespace. Some of them are public (via % package), some not and should not be called by developers directly.

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In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab Workflow
  • Continuous Delivery
  • GitLab installation and configuration
  • GitLab CI/CD

In the previous article, we covered Git basics, why a high-level understanding of Git concepts is important for modern software development, and how Git can be used to develop software. Still, our focus was on the implementation part of software development, but this part presents:

  • GitLab Workflow - a complete software life cycle process - from idea to user feedback
  • Continuous Delivery - software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time. It aims at building, testing, and releasing software faster and more frequently.

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Problem:

Caché prints to printers in a manner somewhat different from other Windows applications.  Caché sends the data directly to the GDI Printer, without the usual interface.  This is because the GUI interface can only be shown on a system desktop session and not in web browser and terminal sessions.  Some printer drivers have problems with this method of printing.

Is this the problem you are having?

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Generally speaking, InterSystems products supported dynamic objects and JSON for a long while, but version 2016.2 came with a completely new implementation of these features, and the corresponding code was moved from the ObjectScript level to the kernel/C level, which made for a substantial performance boost in these areas. This article is about innovations in the new version and the migration process (including the ways of preserving backward compatibility).

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Apache Spark has rapidly become one of the most exciting technologies for big data analytics and machine learning. Spark is a general data processing engine created for use in clustered computing environments. Its heart is the Resilient Distributed Dataset (RDD) which represents a distributed, fault tolerant, collection of data that can be operated on in parallel across the nodes of a cluster. Spark is implemented using a combination of Java and Scala and so comes as a library that can run on any JVM.

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Article
Alexander Koblov · May 20, 2016 12m read
Collations in Caché

Order is a necessity for everyone, but not everyone understands it in the same way
(Fausto Cercignani)

Disclaimer: This article uses Russian language and Cyrillic alphabet as examples, but is relevant for anyone who uses Caché in a non-English locale.
Please note that this article refers mostly to NLS collations, which are different than SQL collations. SQL collations (such as SQLUPPER, SQLSTRING, EXACT which means no collation, TRUNCATE, etc.) are actual functions that are explicitly applied to some values, and whose results are sometimes explicitly stored in the global subscripts. When stored in subscripts, these values would naturally follow the NLS collation in effect (“SQL and NLS Collations”).

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There have been a few use cases recently within InterSystems where we've needed to connect to Caché-based web services from PHP. The first of these was actually the Developer Community itself, which uses web services as part of Single Sign-On with other InterSystems sites/applications. The following example demonstrates how to connect to a Caché-based web service (particularly, the web service in the SAMPLES namespace) from PHP, using password authentication.

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Article
Istvan Hahn · Sep 30, 2016 8m read
Consuming RESTful Web Services

The article is a step by step guide for beginners to learn how to build a RESTful web service consumer (or client) in Ensemble. The provider can be any RESTful service, but the example is based on the service we made during the previous sessions.

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As a developer, you have probably spent at least some time writing repetetive code. You may have even found yourself wishing you could generate the code programmatically. If this sounds familiar, this article is for you!

We'll start with an example. Note: the following examples use the %DynamicObject interface, which requires Caché 2016.2 or later. If you are unfamiliar with this class, check out the documentation here: Using JSON in Caché. It's really cool!

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Article
Eduard Lebedyuk · Mar 14, 2018 10m read
REST Design and Development

Intro

For many in today's interoperability landscape, REST reigns supreme. With the overabundance of tools and approaches to REST API development, what tools do you choose and what do you need to plan for before writing any code?
This article focuses on design patterns and considerations that allow you to build highly robust, adaptive, and consistent REST APIs. Viable approaches to challenges of CORS support and authentication management will be discussed, along with various tips and tricks and best tools for all stages of REST API development. Learn about the open-source REST APIs available for InterSystems IRIS Data Platform and how they tackle the challenge of ever-increasing API complexity.
The article is a write-up for a recent webinar on the same topic.

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Article
Michael Breen · Nov 9, 2016 5m read
How the Ensemble Scheduler Works

The Ensemble Scheduler is used for automatically turning on and off business hosts at certain dates and times.   You could use it if, for example, you wanted to only run a business host from 9am to 5pm every day.    Conversely, if you want do to trigger an event to occurr at a specific time, for example, a job running at 1am to batch up and send off all the previous day's transactions in one file, we recommend other methods such as the Task Manager.

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In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab Workflow
  • Continuous Delivery
  • GitLab installation and configuration
  • GitLab CI/CD
  • Why containers?
  • Containers infrastructure
  • GitLab CI/CD using containers

In the first article, we covered Git basics, why a high-level understanding of Git concepts is important for modern software development, and how Git can be used to develop software.

In the second article, we covered GitLab Workflow - a complete software life cycle process and Continuous Delivery.

In the third article, we covered GitLab installation and configuration and connecting your environments to GitLab

In the fourth article, we wrote a CD configuration.

In the fifth article, we talked about containers and how (and why) they can be used.

In this article let's discuss main components you'll need to run a continuous delivery pipeline with containers and how they all work together.

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Database systems have very specific backup requirements that in enterprise deployments require forethought and planning. For database systems, the operational goal of a backup solution is to create a copy of the data in a state that is equivalent to when application is shut down gracefully.  Application consistent backups meet these requirements and Caché provides a set of APIs that facilitate the integration with external solutions to achieve this level of backup consistency.

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With the release of Cache 2016.1, JSON support was re-architected and made part of the core object model with the creation of %Object and %Array classes, which allow you to create dynamic JSON enabled objects and arrays.

On a recent demonstration I was working on, I had the need to create a REST web service that returned a JSON representation of a persistent object.  After searching for methods that would allow me to accomplish this, ultimately I found none, until now.

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Hi!

Want to share with you code snippet of try catch block I usually use in methods which should return %Status. 


{ 
 try {
  	$$$TOE(sc,StatusMethod())
 }
 catch e {
 	set sc=e.AsStatus()
 	do e.Log()
 }

Quit sc 
}

Here $$$TOE is a short form of $$$TROWONERROR macro.

Inside macro StatusMethod is any method you call which will return %Status value. This value will be placed into sc variable.

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Article
Fabian Haupt · Sep 2, 2016 2m read
Advanced URL mapping for REST

By now it's a commonplace how to implement a basic REST API in Caché and there is good documentation about it here: REST in Caché

A question that comes up from time to time is:

How can I make a parameter in my REST url optional?

Simply put, is it possible to create a URL map in Caché that maps a URL like this:

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Cache tricks

Several years ago, long before Developer Community Portal was launched, I published a series of Caché tricks at one of Czech web sites. In this article, I’m posting translated version of one of them.

Capturing output of someone else’s methods or routines

Suppose you, or someone else created a useful method or routine, that was producing some computation that you’d like to benefit from, but the routine was writing output to process principal device.

You would like to use the data, but you need it not written to a device, but assigned to a variable. And, for any reason, you can’t modify the code. What can you do?

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Terminal scripts can be used to run pre-designed commands on the terminal, like a batch file.  You can write anything that can be executed on terminal, like for loop, if else and so on,  inside Terminal scripts. In this article, I will show you how to call Terminal scripts, how to use parameters in Terminal scripts and how to avoid session disconnected when running Terminal scripts. If you have any information about how to use Terminal scripts or you have any feedback, please feel free to leave a comment.

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Article
Eduard Lebedyuk · Apr 17, 2017 4m read
Debugging Web

In this article I'll cover testing and debugging Caché web applications (mainly REST) with external tools. Second part covers Caché tools.

You wrote server-side code and want to test it from a client or already have a web application and it doesn't work. Here comes debugging. In this article I'll go from the easiest to use tools (browser) to the most comprehensive (packet analyzer), but first let's talk a little about most common errors and how they can be resolved.

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One of the great availability and scaling features of Caché is Enterprise Cache Protocol (ECP). With consideration during application development distributed processing using ECP allows a scale out architecture for Caché applications. Application processing can scale to very high rates from a single application server to the processing power of up to 255 application servers with no application changes.

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Article
Joel Solon · Jun 24, 2016 2m read
Atelier, Git, and GitHub

One of the benefits of Atelier is easy integration with source code management tools. Some Eclipse installations include the EGit plugin, or you can install it from the Eclipse marketplace. EGIt makes integration with Git and GitHub easy. Here are the steps I used to connect Atelier to a GitHub repository:

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Myself and the other Technology Architects often have to explain to customers and vendors Caché IO requirements and the way that Caché applications will use storage systems. The following tables are useful when explaining typical Caché IO profile and requirements for a transactional database application with customers and vendors.  The original tables were created by Mark Bolinsky.

In future posts I will be discussing more about storage IO so am also posting these tables now as a reference for those articles. 

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