IMPORTANT NOTE InterSystems no longer provides a separate InterSystems Reports Server container. To run containerized InterSystems Reports Server, use Logi Reports Server container and your InterSystems Reports Server license. Documentation.

InterSystems Reports is powered by Logi Report (formerly named JReport), a product of Logi Analytics. InterSystems Reports is supported by InterSystems IRIS and InterSystems IRIS for Health. It provides a robust modern reporting solution that includes:

  • Embedded operational reporting which can be customized by both report developers and end users.
  • Pixel-perfect formatting that lets you develop highly specific form grids or other special layout elements for invoices, documents, and forms.
  • Banded layouts that provide structure for aggregated and detailed data.
  • Exact positioning of headers, footers, aggregations, detailed data, images, and sub-reports.
  • A variety of page report types.
  • Large-scale dynamic report scheduling and distribution including export to PDF, XLS, HTML, XML, and other file formats, printing, and archiving for regulatory compliance.

InterSystems Reports consists of:

  • A report designer, which provides Design and Preview Tabs that enable report developers to create and preview reports with live data.
  • A report server which provides end users browser-based access to run, schedule, filter, and modify reports.

From InterSystems documentation.

This article focuses on the Server part of InterSystems Reports and provides a guide on running Report Server in containers while persisting all the data.

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Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial definition in one paragraph and admits virtual form of a robot). A robot is an automate, from an algorithmic viewpoint, an automate for autonomous (algorithmic) execution of concrete tasks. A light detector that triggers street lights at night is a robot. An email software separating e-mails into “external” and “internal” is also a robot. Artificial intelligence (in an applied and narrow sense, Wikipedia interpreting it differently again) is algorithms for extracting dependencies from data. It will not execute any tasks on its own, for that one would need to implement it as concrete analytic processes (input data, plus models, plus output data, plus process control). The analytic process acting as an “artificial intelligence carrier” can be launched by a human or by a robot. It can be stopped by either of the two as well. And managed by any of them too.

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install and usage

Packed Pretty.xml installs routine ZPretty in any namespace.
calling $$Do^ZPretty(input,[filler],[newline]) returns a wrapped JSON string.
filler is the optional string for the indent, default = " "
newline is optional, default = $C(13,10)
input accepts: JSON_String, JSON_Stream, %DynamicAbstractObject

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Article
· Mar 3, 2021 4m read
Access to IRIS from Rust

What do you think If I will say you, that very soon you will be able to connect to IRIS from the application written in Rust.

What is Rust

Rust is a multi-paradigm programming language designed for performance and safety, especially safe concurrency. Rust is syntactically similar to C++, but can guarantee memory safety by using a borrow checker to validate references. Rust achieves memory safety without garbage collection, and reference counting is optional. (c) Wikipedia

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Article
· Jun 12, 2021 2m read
Running reviews on Open Exchange

For several weeks I'm creating reviews on OEX.
So I'd like to explain to you the criteria that I apply to find my ratings.
Of course, each reviewer is an independent person and has his own criteria and his own opinion.
And that's good and important! As Winston Churchill once said:

"If 2 people always have the same opinion, then 1 of them is superfluous"

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Article
· Jul 27, 2021 2m read
IRIS Interoperability Message Bank

I heard about Message Bank when we started redesigning a Health Connect production to run in containers in the cloud. Since there will be multiple IRIS containers, we were directed to utilize Message Bank as one place to view messages and logs from all containers.

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Recently I wanted to get a list of all cached queries and their texts. Here's how to do that.

First create an SQL Procedure returning Cache Query text from a Cached Query routine name:

Class test.CQ
{

/// SELECT test.CQ_GetText()
ClassMethod GetText(routine As %String) As %String [ CodeMode = expression, SqlProc ]
{
##class(%SQLCatalog).GetCachedQueryInfo(routine)
}

}

And after that you can execute this query:

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cAdvisor (short for container Advisor) analyzes and exposes resource usage and performance data from running containers. cAdvisor exposes Prometheus metrics out of the box.

https://prometheus.io/docs/guides/cadvisor/

Prometheus is integrated in SAM. This makes it possible to leverage the cAdvisor metrics and expose them via Prometheus and Grafana.

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Article
· Apr 20, 2021 2m read
ZPM Explorer

Hi Community,

@José Pereira and I want to introduce ZPM Explorer, our graphic interface to explorer the greats applications that we have inside InterSystems Package Manager.

The idea

ZPM Explorer's idea is to make it easier for people to find out what ZPM offers. Every week, every day, a new app joins the ZPM world, so why not help developers and non-developers take advantage of this incredible world?!

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Hello, developers!

I would like to share the history of the project - the ZAPM shell.

As soon as ZPM was implemented, I immediately began to think about how best to use it.

And immediately faced with the desire to move more quickly between namespaces, especially when there are more than 20 of them.
I had to leave the ZPM, move to the desired namespace and re-enter the shell.
I suggested an improvement - a new "namespace" command for easier navigation.
I didn’t wait - I did it myself. And so it went. If you need it, get ready to do it yourself.

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Article
· Dec 9, 2021 2m read
MULTIEXCEL

Millions of professionals use a wonderful tool, spreadsheets, for engineering calculations and financial analysis. It attracts a user-friendly interface and clear data organization. Cell formulas provide rich opportunities for automating calculations. No programming is required.

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In Studio you could open a class directly via it's name, without having to traverse the package tree with multiple clicks until arriving at the desired class.

You would Ctrl + O or (File -> Open) and be able to simply type in the class name, for example:

You press Enter, and viola - the class is opened.

How do you achieve this in VSCode?

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In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana.

Note that the Google Cloud Platform used in this article is not free (price list), but you can leverage a free tier. This article assumes that you already have a project in the Google Cloud Platform (referred to as <your_project_id>) and have permission to use it.

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Like hardware hosts, virtual hosts in public and private clouds can develop resource bottlenecks as workloads increase. If you are using and managing InterSystems IRIS instances deployed in public or private clouds, you may have encountered a situation in which addressing performance or other issues requires increasing the capacity of an instance's host (that is, vertically scaling).

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Article
· Oct 12, 2021 2m read
Generating OFX [V1]

Just in case you never heard about OFX before
V1 was an attempt to create a dedicated SGML for banking and ignoring XML. Details.
It evolved to XML but not for M$ MONEY. Today we would use JSON for similar tasks.

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Introduction

InterSystems IRIS 2020.1 includes PEX (Production EXtension Framework) to facilitate the development of IRIS Interoperability productions with components written in Java or .NET.

Thanks to PEX, an integration developer with knowledge of Java or .NET can benefit from the power, scalability, and robustness of the InterSystems IRIS Interoperability framework and be productive in no time.

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When you have been using cubes for business intelligence in a namespace for some time, you may find that there are many cubes in the namespace, only some of which are actively being used. However, it can be difficult to tell which cubes users are or are not querying, and maintaining unused cubes can be costly both in terms of storage and of computation to keep them up to date. This article provides some suggestions and examples for monitoring which cubes are in active use, and for removing cubes that you determine are no longer necessary.

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The first installment of this article series discussed how to read a big chunk of data from the raw body of an HTTP POST method and save it to a database as a stream property of a class. The second installment discussed how to send files and their names wrapped in a JSON format.

Now let’s look closer at the idea of sending large files in parts to the server. There are several approaches we can use to do this. This article discusses using the Transfer-Encoding header to indicate chunked transfer. The HTTP/1.1 specification introduced the Transfer-Encoding header, and the RFC 7230 section 4.1 described it, but it’s absent from the HTTP/2 specification.

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