#InterSystems IRIS

InterSystems products (InterSystems IRIS, Caché and Ensemble) support AIX on Power 9 chips starting with:

Caché/Ensemble 2017.1.3

InterSystems IRIS 2018.1.1

Often InterSystems technology architect team is asked about recommended storage arrays or storage technologies.  To provide this information to a wider audience as reference, a new series is started to provide some of the results we have encountered with various storage technologies.  As a general recommendation, all-flash storage is highly recommended with all InterSystems products to provide the lowest latency and predictable IOPS capabilities.

The first in the series was the most recently tested Netapp AFF A300 storage array.  This is middle-tier type storage array with several higher models above it.  This specific A300 model is capable of supporting a minimal configuration of only a few drives to hundreds of drives per HA pair, and also capable of being clustered with multiple controller pairs for tens of PB's of disk capacity and hundreds of thousands of IOPS or higher. 

Hi all. When I try to do this in Apache Zeppelin:

  This error appears:

My jdbc interpreter:

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
• CD using containers
• CD using ICM

In this article, we'll build Continuous Delivery with InterSystems Cloud Manager. ICM is a cloud provisioning and deployment solution for applications based on InterSystems IRIS. It allows you to define the desired deployment configuration and ICM would provision it automatically. For more information take a look at First Look: ICM.

Hi Everybody!

We are pleased to invite you to the upcoming webinar "Sharding as the basis of Scaling in InterSystems IRIS Data Platform" on 24th of July at 10:00 (Moscow time)!

Hi everyone,

I am still learning the platform for a student project and have to do some streaming and data analysis next. Since for my case I have no "live api" I wanted to just stream json files and output the data as it comes in from the files. (basically to emulate a incoming data scenario)

So thanks to the documentation and community posts I have figured how to create a stream and read data from a JSON but since I'm also new to JSON I have some parsing problems. I don't know how to access subarrays/sub-objects via objectscript.

I'm facing a specific sort problem.
There are several thousands of articles sold all over. 
Users expect to get a description in local language sorted by their specific collation.

Let's say I have a user-generated document template with placeholders and I want to replace them with actual values.

Values could be:

• scalars
• tables
• ...?

So far I wrote a simple find/replace tool that works with RTF format (because it's not a binary format), here's how it works:

set template = "D:\Cache\RTF\template.rtf"
set var("%title") = "Hello"
set var("%table") = $lb("Utils.RTF", "TestFunc")
set result = "D:\Cache\RTF\out.rtf"
set sc = ##class(Utils.RTF).replace(template, .var, result)

When you hear people talk about moving their applications to the cloud, are you unsure of what exactly they mean? Do you want a solution for migrating your local, physical servers to a flexible, efficient cloud infrastructure? 

Note: with support for Overlay storage driver for InterSystems IRIS containers this article is no longer relevant. The article is left here for archive purposes.

This document describes considerations around SDDC and HCI solutions for InterSystems Clients.

Software Defined Data Centers (SDDC) and Hyper-Converged Infrastructure (HCI) – Important Considerations for InterSystems Clients

Hi all,

Anyone who is planning to attend CEBIT 2018 in Hannover should make sure to join us on June 13 from 2pm to 5pm for a technical deep-dive into our new InterSystems IRIS Data Platform™ technology.

Modern businesses need new kinds of applications — ones that are smarter, faster, and can scale more quickly and cost-effectively to accommodate larger data sets, greater workloads, and more users.

With this in mind, we have unveiled InterSystems IRIS Data Platform™, a complete, unified solution that provides a comprehensive and consistent set of capabilities spanning data management, interoperability, transaction processing, and analytics. It redefines high performance for application developers, systems integrators, and end-user organizations who develop and deploy data-rich and mission-critical solutions.

 ​

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!

So far, dozens of people have started the InterSystems IRIS Experience – we want to hear from you! How are you enjoying the Experience so far? Do you have any suggestions for future challenges or datasets you’d like to see? This is a space for you to interact with both InterSystems staff and your peers about the InterSystems IRIS Experience, so let us know what you think! 

InterSystems is pleased to announce that InterSystems IRIS Data Platform 2018.1.0 is now released.

This press release was issued this morning.

InterSystems IRIS is a complete, unified data platform that makes it faster and easier to build real-time, data-rich applications.  It mirrors our design philosophy that software should be interoperable, reliable, intuitive, and scalable.

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:

Question:

My journal files are growing  rapidly - what could be the cause? How can I minimize the phenomena?

"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.

I am using Atelier + EGit plugins for a project. Is it possible to turn the storage definition off in Atelier so this does not get copied to Git when I make changes? While developing on different versions of the code on different systems, it may cause conflicts and excess noise in the source control history

Hi Community!

Check the new video on InterSystems Developers YouTube:

Managed File Transfer

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.

Documentation (http://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls…) states that it looks like: 

IRIS for Windows (x86-64) 2018.1 (Build 487U) Tue Dec 26 2017 22:47:10 EST

Does it really true, or just a documentation typo?

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

  select count(*) from Bmap.Person  
  300010 global references 1600446 lines executed   

demo 1

Container Images

In this second post on containers fundamentals, we take a look at what container images are.

What is a container image?

A container image is merely a binary representation of a container.

A running container or simply a container is the runtime state of the related container image.

Please see the first post that explains what a container is.

Last week, we announced the InterSystems IRIS Data Platform, our new and comprehensive platform for all your data endeavours, whether transactional, analytics or both. We've included many of the features our customers know and loved from Caché and Ensemble, but in this article we'll shed a little more light on one of the new capabilities of the platform: SQL Sharding, a powerful new feature in our scalability story.

Last week saw the launch of the InterSystems IRIS Data Platform in sunny California.

For the engaging eXPerience Labs (XP-Labs) training sessions, my first customer and favourite department (Learning Services), was working hard assisting and supporting us all behind the scene.

Hi all! We have just released a new online course, Getting Started with ICM, that provides an introduction to InterSystems Cloud Manager (ICM) -- one of the new technologies coming with the release of InterSystems IRIS!

the useful content is in the replies
showing the use of $SYSTEM.OBJ.ValidateIndices()

This should be an overview over a subject that pops up over several places in online documentation mostly as remarks and never as dedicated chapter.

Once upon a time ...  No it's not a fairy tale.
In the beginning of Caché (and before) you had your partition to run your code. Part of that partition was a space with all your local variables nicely sorted by %,A,..Z,a,...z