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

This error appears:

My jdbc interpreter:

NewBie's Corner Session 3 More Read and Write commands & Multiple commands

Welcome to NewBie's Corner, a weekly or biweekly post covering basic Caché Material.

Click on the Caché Cube in your system tray and select Terminal to try out the commands.

Write command with carriage return and line feed

When the exclamation point "!" is inserted after a Write command, a carriage return and line feed combination is produced. Note in this example, that a comma separates the exclamation point from the variable "X".

I have a newbie question.

How can a Cache/MUMPS process identify itself to either a process or system.

I have an application running in two different processes and/or systems and want to make minor changes depending upon which process it is in.

What is the easist way to do that.

-thanks

InterSystems Data Platform includes utilities and tools for system monitoring and alerting, however System Administrators new to solutions built on the InterSystems Data Platform (a.k.a Caché) need to know where to start and what to configure.

This guide shows the path to a minimum monitoring and alerting solution using references from online documentation and developer community posts to show you how to enable and configure the following;

1. Caché Monitor: Scans the console log and sends emails alerts.

2. System Monitor: Monitors system status and resources, generating notifications (alerts and warnings) based on fixed parameters and also tracks overall system health.

3. Health Monitor: Samples key system and user-defined metrics and compares them to user-configurable parameters and established normal values, generating notifications when samples exceed applicable or learned thresholds.

4. History Monitor: Maintains a historical database of performance and system usage metrics.

5. pButtons: Operating system and Caché metrics collection scheduled daily.

Remember this guide is a minimum configuration, the included tools are flexible and extensible so more functionality is available when needed. This guide skips through the documentation to get you up and going. You will need to dive deeper into the documentation to get the most out of the monitoring tools, in the meantime, think of this as a set of cheat sheets to get up and running.

In this article I'll show you how to set up in your laptop, very quickly, a cluster of IRIS nodes in sharding. It's not the goal of this article neither to talk about sharding in detail nor define a deployment of a production ready architecture, but to show how to set up quickly, in your own machine, a cluster of IRIS instances configured as shard nodes, with which you'll able to play and test this functionality. If you're insterested in knowing more about sharding in IRIS, take a look at the documentation clicking here.

First and foremost, I want to remark that IRIS sharding will allow us 2 things:

• Define, load and query shard tables, which data will be distributed transparently between the cluster's nodes
• Define federated tables, which offer a global and composed view of data belonging to different tables that will be physically stored in different distributed nodes

So, as I said, we let for other article playing with shard or federated tables, and just focus now in the previous step, that is, setting up the cluster of shard nodes.

The article is a step by step guide for beginners to learn how to build a RESTful web service consumer (or client) in Ensemble. The provider can be any RESTful service, but the example is based on the service we made during the previous sessions.

This series of articles would cover Python Gateway for InterSystems Data Platforms. Execute Python code and more from InterSystems IRIS. This project brings you the power of Python right into your InterSystems IRIS environment:

This article gives a brief introduction how a RESTful service consumer and a RESTful service provider exchange data. It is a beginner’s guide. Data is transferred from a consumer to a provider as parameters of the service. Parameters are part of a service request. The result of the service action a response is returned from a provider to a consumer. Both the service request and response are standard HTTP messages. Since HTTP is a flexible standard regarding to the message contents, RESTful services also enjoy the versatility of data transfer methods.

The following post is a guide to implement a basic architecture for DeepSee. This implementation includes a database for the DeepSee cache and a database for the DeepSee implementation and settings.

The Learning Services Online Learning team has posted new videos to help you learn the benefits of InterSystems IRIS. Take a peek to see what you stand to gain from making the switch to InterSystems IRIS!

Hi Developers,

We've launched a new educational channel on Global Masters - GM Academy!

It contains selected educational materials from InterSystems online learning portal.

Currently, there are 2 courses for beginners: Caché learning path and InterSystems IRIS learning path.

But depending on what'd like to learn we'll be adding more and more content. So - what you'd like to learn?

Tell us in this intro challenge!

Hi community,

I'm going to publish several articles on how to perform actions that you can do in the web portal but via code.

Today.... Web Applications via code

Hi, Community!

Want to use your data to make better business decisions? Creating virtual models can help! See how:

Creating Virtual Models with InterSystems IRIS® Adaptive Analytics

https://www.youtube.com/embed/0V-nLans5J8?utm_source=youtube&utm_medium=social&utm_campaign=0V-nLans5J8
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NewBie's Corner Session 25 Globals, Variables, and Arrays Part 1

Welcome to NewBie's Corner, a weekly or biweekly post covering basic Caché Material.

Globals, Arrays, and Variables

A thorough understanding of Globals, Arrays, and Variables is foundational for every Caché developer.

A Global may be:

Scalar (a single element), as in a Global Variable