With the release of InterSystems IRIS, we're also making available a nifty bit of software that allows you to get the best out of your InterSystems IRIS cluster when working with Apache Spark for data processing, machine learning and other data-heavy fun. Let's take a closer look at how we're making your life as a Data Scientist easier, as you're probably already facing tough big data challenges already, just from the influx of job offers in your inbox!

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Two fairly common requests we receive from HL7 customers are (1) how to remove all trailing delimiters for fields and segments in HL7 messages and (2) how to "find and replace" for an entire HL7 message (as opposed to one segment/field at a time). The code sample below shows a custom function that solves for item 1 and by extension item 2 above. In other words the same approach can be used for finding/replacing any sequence of chars in an entire HL7 message, with some tweaks to the custom function.

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Too often users finding themselves in need of a software solution do not consider “open source” vs. “proprietary” alternative. Most of them either have their go-to favorite developer or just google for reviews and ready-made answers. However, this alternative must be the starting point of their search, as the decision has the most consequences.

It is not an overstatement to say that open source is the future of technology, albeit, it has its own unique challenges. Here is what users, especially corporate users should consider choosing the software for their business needs.

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If your looking to develop a Node.JS to Caché library then you might want to consider using a pure TCP connection with a custom message transport protocol. This bypasses the native Caché connector libraries that can get stale with a new release.

Node.JS is very good at non blocking code development, so building a performant solution isn't that complex.

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Sometimes, we need to copy part of the properties of an object into a different one.
The simplest thing would be to do the following:

Set obj1.FirstName = obj2.FirstName

Set obj1.SecondName = obj2.SecondName

What happens if the object contains a large number of properties? or we just want to extract an important group of data, and complement the information in another object?

Having the following classes:

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Article
· Apr 25, 2018 4m read
DNI functions

Hi everyone!

I want to share four functions with you. I hope that you can use it at some time.

DNI: the initials of the type of national identity document, is composed of different series of numbers and letters. That proves the identity and personal data of the holder, as well as the Spanish nationality. Example: 94494452X

NIE: The NIE or foreigner identity number is a code for foreigners in Spain.


In this page you can generate examples of DNI or NIE https://generadordni.es/

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"Telegram" is a well-known instant messenger, which provides an API for creating bots. The features of this API allow you to create bots with a wide range of functionality including receiving payments.
With the help of the telegram bot, I solved a simple task - sending Alerts from Ensemble to Telegram.

Advantages: Alerts come to the mobile phone, a notification appears, so there is no need to install any additional applications (in contrast to the solution https://community.intersystems.com/post/sending-alerts-mobile-phone-using-pushover- httpoutboundadapter).

The bot can be extended by adding new commands, for example, for managing the Production or for solving other tasks in Iris, Ensemble or Cache.

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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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Configuring an Ensemble production can be a challenging task involving a thorough understanding of the system and production functionality and a detailed understanding towards each configuration item. After successfully configured an Ensemble production, you might need to set up an identical production on the mirror environment, or deploy the production on a development system to a live system, or send a copy for diagnostic/debug purposes. Other times you might have spent some time designing a BPL/DTL and some other productions can use the same logic.

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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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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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I'm pleased to see this in the documentation of the just-published 2017.1 Field Test of Ensemble:

"In certain circumstances, it is useful to create namespaces that are not enabled for Ensemble. In this release you can do this by clearing the Make this an Ensemble namespace checkbox when creating a new namespace. "

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There are numerous ways to interact with InterSystems Caché: We can start with ODBC/JDBC that are available via SQL gateway. There are API for .NET and Java too. But if we need to work with native binary libraries, such interaction is  possible through Caché Callout Gateway, which can be tricky. You can read more about the ways of facilitating the work with native libraries directly from Caché in the article below.

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Article
· Jun 12, 2017 1m read
Setting the Windows service account

I recently helped a site investigate a problem that appeared after they upgraded their Windows instance of Caché from 2015.1 to 2017.1. A terminal session launched from the server's desktop cube was unable to run OS-level commands using the $ZF(-1) function. For instance, using the no-op command "REM" as follows:

write $zf(-1,"rem")

was returning -1, indicating that the Windows command could not be issued.

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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?
  • 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 this article, let's talk about containers and how (and why) they can be used.

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In the last post we scheduled 24-hour collections of performance metrics using pButtons. In this post we are going to be looking at a few of the key metrics that are being collected and how they relate to the underlying system hardware. We will also start to explore the relationship between Caché (or any of the InterSystems Data Platforms) metrics and system metrics. And how you can use these metrics to understand the daily beat rate of your systems and diagnose performance problems.

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Article
· 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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This is the first article of a series diving into visualization tools and analysis of time series data. Obviously we are most interested in looking at performance related data we can gather from the Caché family of products. However, as we'll see down the road, we are absolutely not limited to that. For now we are exploring python and the libraries/tools available within that ecosystem.

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I wanted to see some alerts that occur in my Productions in a Mobile Device, I came across Pushover.net recently that although has an upfront cost $5 you can send as many messages as you like after that, there is a 7 day free trial to check it out.

To Integrate this with a production I did the following.

Create an account and set up a device on https://pushover.net/

Record the following API Keys from the web site on the main page you will see

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This series of articles aims to address the following topics:

  • Creation of a web application based on REST pages;
  • Overview of some tools for tracing (debugging) HTTP requests;
  • Switching from hyperevents to... hyperevents;
  • Integration with jQuery File Upload;
  • Conversion of JSON from the {id:1,parentId:1} format to the {id:1,children:[{}]} format for tree visualization;
  • Integration with jQuery EasyUI (using datagrid and tree as examples);
  • Other topics.

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