In this article I would like to review those VS Code extensions which I use myself to work with InterSystems and which make my work much more convenient. I am sure this article will be useful for those who are just starting their journey to learn InterSystems technologies. However, I also hope that this article could be useful for experienced developers with many years of experience and open up new possibilities for them when using VS Code for development.
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.
I have experienced that my iris server is gone due to upgrading the docker version when I have built IRIS server on docker container.
Based on this experience, I'd like to show you how to make a backup for the IRIS server before upgrading platform or docker, and the procedure for rebuilding the IRIS in a new environment.
IRIS server backup procedure
When you have finished building for the IRIS server, you need to make a backup.
SSH framework is a relatively representative framework of Java, which was popular many years ago. There are Struts+Spring+hibernate and Spring MVC+Spring+hibernate. Of course, I used the second one in college. If I can connect IRIS to Hibernate as a library, does it also mean that IRIS can be developed using SSH framework in theory?
The question has come up several times and I saw mixed answers and no quick example
My personal preference is using CPIPE device as you get back exactly the output you will get at the command line interface of your OS . The tricky thing is to stop reading in time. The example just displays what you normally see in your console. it becomes useful if you look for things that you can't get from any $system.whatever()
Data analytics is a crucial aspect of business decision-making in today's fast-paced world. Organizations rely heavily on data analysis to make informed decisions and stay ahead of the competition. In this article, we will explore how data analytics can be performed using Pandas and Intersystems Embedded Python. We will discuss the basics of Pandas, the benefits of using Intersystems Embedded Python, and how they can be used together to perform efficient data analytics.
In some of the last few articles I've talked about types between IRIS and Python, and it is clear that it's not that easy to access objects from one side at another.
Fortunately, work has already been done to create SQLAlchemy-iris (follow the link to see it on Open Exchange), which makes everything much easier for Python to access IRIS' objects, and I'm going to show the starters for that.
The goal of this post is to discuss working with Websockets in a Caché environment. We are going to have a quick discussion of what websockets are and then talk through an example chat application implemented on top of Websockets.
One of the reasons why I love Cache and Iris is that not only you can do anything you can imagine, also you can do it in a lot of different ways!!.
Imagine that you have an integration running with IRIS connected by ODBC you probably only run SQL queries but you can also create stored procedures and inside write the code to do everything you can imagine.
I'm going to give you some examples but the limit is your imagination!!
This is a quick tutorial how to install and use TFS in Atelier. It is based on my self experience and some tricks that I 've noted.
If you are used to using visual studio maybe you feel that is a bit slow and heavy, but you have the same TFS panel as you have in Visual Studio, so don't need any special "training" to use it
This tutorial is a follow on to Working with %Query It was displaying the content of the input stream chopped in fixed-size chunks. But often those streams are structured and have well-defined separators (e.g HL7) So as a side subject of this tutorial, this chapter shows how to break a stream into PIECES.
It is exactly the same idea as the $PIECE() function for strings with some add-ons.
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.
Many of you publish your InterSystems ObjectScript libraries on Open Exchange and Github.
But what do you do to ease the usage and collaboration to your project for developers?
In this article, I want to introduce the way how to introduce an easy way to launch and contribute to any ObjectScript project just by copying a standard set of files to your repository.
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:
Pouring The Coffee: Creating and scheduling a task
Don't you wish a fresh, hot cup of coffee could be waiting for you right when you get into the office? Let's automate that!
Cache and IRIS come with a built-in Task Manager, which should have a familiar feel to those used to using the Windows task scheduler or using cron on Linux. Your user account will need access to the %Admin_Task resource to use it, and you can access it in the management portal under System Operation -> Task Manager. When first installed, there are roughly 20 types of task that you can schedule.
1.1 I met a few project that their interface servers were crashed. Cutoms wanted resume server as fast as we can. their servers are running at lan,and they can't use git,there are some namesapce in the server running different service,and usualy there is only one server.
1.2 In the message,it has property in typeof characterstream,as you know,the message search page doesn't support filtering with property of characterstream,so it's so hard to find the messge you want.
This article is intended to be a simple tutorial on how to create ODBC connections and working with them, since I found starting with them a little bit confused, but I had amazing people to take my hand and walk me through it, and I think everyone deserves that kind of help too. I'm going to divide each little part in sections, so feel free to jump to the one you feel the need to, although I recommend reading everything.
Saw the other day an article with the usage of the %ZEN package when working with JSON and decided to write an article describing a more modern approach. At some recent point, there was a big switch from using %ZEN.Auxiliary.* to dedicated JSON classes. This allowed to work with JSONs more organically.
Thus, at this point there are basically 3 main classes to work with JSON:
%Library.DynamicObject - provides a simple and efficient way to encapsulate and work with standard JSON documents. Also, there is a possibility instead of writing the usual code for creating an instance of a class like
set obj = ##class(%Library.DynamicObject).%New()
it is possible to use the following syntax
set obj = {}
%Library.DynamicArray - provides a simple yet efficient way to encapsulate and work with standard JSON arrays. With arrays you can use the same approach as with objects, meaning that yu can either create an instance of the class
set array = ##class(%DynamicArray).%New()
or you can do it by using brackets []
set array = []
%JSON.Adaptor is a means for mapping ObjectScript objects (registered, serial or persistent) to JSON text or dynamic entities.
IRIS configurations and user accounts contain various data elements that need to be tracked, and many people struggle to copy or sync those system configurations and user accounts between IRIS instances. So how can this process be simplified?
In software engineering, CI/CD or CICD is the set of combined practices of continuous integration (CI) and (more often) continuous delivery or (less often) continuous deployment (CD). Can CI/CD eliminate all our struggles?
Is anyone like me, and felt really jealous that they didn't have enough points to acquire the IRIS-based Raspberry Pi system when it was offered? Do you have a spare Raspberry Pi 4 handy? If so, I'll walk you through setting up Docker and IRIS on your Raspberry Pi so you can have the smallest IRIS computer in town!
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.
Say you have a receiving system that accepts HL7 and provides error messages in field ERR:3.9 in the ACK it returns. You require a different reply code action depending on the error message, however the Reply Code Actions settings for the operation do not provide this level of granularity. One option could be to create a process that takes the ACK and then completes the action you were expecting, however things can get a bit messy if the action is to retry the message, especially when trying to view a message trace.
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This tutorial is a follow on to Working with %Query .png)
