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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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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It is often necessary to sort the results of a query on a string field containing a combination of alphabetic and numeric characters. In cases like this the default string collation may not always return the data in the expected sequence.

An example of this may be where a select from Samples.Person should order the results by the street address, but firstly ordered by the street number part as numeric, and then by the street name.

The default query will return the results as follows:

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Article
· Feb 26, 2018 2m read
M:N Relationship

If you have worked with Caché Objects,
You know already all about Relationships (one:many , parent:child) ...
But you will not find a word on many:many relationships in the docs.

But I met the question quite often from new adopters of Caché objects:
"Is it possible to implement many:many relationships ?" YES - of course !

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Hi, Community!

This is the 3rd part of DeepSee Web story - Angular base UI for DeepSee Dashboards, see the beginning here.

By design, DSW provides an implementation for every widget in DeepSee library. But there are some extra features in DSW which make solutions built with DSW dashboards more functional. This article describes it.

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Article
· Feb 16, 2018 2m read
Adopted Bitmap

The base class Bmap.Person defines persons within an organization distributed
by various countries. All records are indexed by (Country, PersonalId).
this structure doesn't allow use of bitmaps.

So a wrapper class Bmap.PersonQ around the data eliminates the top level of
the index (Country) and isolates the PersonalId (%Integer, MINVAL=1).
We are ready to use a Bitmap index.

A few performance figures on 300010 generated records.
You see that Relative Cost are sometimes quite misleading.

base

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Please make these dialogs easier to use, for example by treating a double-click on a list item as a signal to select the item and effectively click the "Next" or "Finish" button. Using Tools\Add-Ins as my example, on the first page:

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My comments here relate to Atelier 1.0.137 on Windows connecting to Ensemble 2016.2 FT build 627.

I've been looking at what the Atelier Explorer view (hereafter AE), whose root elements are projects, lets us do with the contents of the namespace that the project is connected to:

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