Article
· Jul 22, 2016 16m read
Using Regular Expressions in Caché

1.About this article

Just like Caché pattern matching, Regular Expressions can be used in Caché to identify patterns in text data – only with a much higher expressive power. This article provides a brief introduction into Regular Expressions and what you can do with it in Caché. The information provided herein is based on various sources, most notably the book “Mastering Regular Expressions” by Jeffrey Friedl and of course the Caché online documentation. The article is not intended to discuss all the possibilities and details of regular expressions. Please refer to the information sources listed in chapter 5 if you would like to learn more. If you prefer to read off-line you can also download the PDF version of this article.

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Created by Daniel Kutac, Sales Engineer, InterSystems

Warning: if you get confused by URLs used: the original series used screens from machine called dk-gs2016. The new screenshots are taken from a different machine. You can safely treat url WIN-U9J96QBJSAG as if it was dk-gs2016.

Part 2. Authorization server, OpenID Connect server

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Discussion
· Mar 3, 2016
Anyone using Visual Studio Code?

Is anyone in the fine community of developers who work with ISC technologies looking at Microsoft's Visual Studio Code offering?

One of Bill McCormick's recent posts about Atelier referred to Visual Studio being considered the best IDE. Granted, Code is far less of a tool than VS, and probably always will be. But it claims to be open source and cross-platform, i.e. Linux and OS X as well as Windows.

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** Revised Feb-12, 2018

While this article is about InterSystems IRIS, it also applies to Caché, Ensemble, and HealthShare distributions.

Introduction

Memory is managed in pages. The default page size is 4KB on Linux systems. Red Hat Enterprise Linux 6, SUSE Linux Enterprise Server 11, and Oracle Linux 6 introduced a method to provide an increased page size in 2MB or 1GB sizes depending on system configuration know as HugePages.

At first HugePages required to be assigned at boot time, and if not managed or calculated appropriately could result in wasted resources. As a result various Linux distributions introduced Transparent HugePages with the 2.6.38 kernel as enabled by default. This was meant as a means to automate creating, managing, and using HugePages. Prior kernel versions may have this feature as well however may not be marked as [always] and potentially set to [madvise].

Transparent Huge Pages (THP) is a Linux memory management system that reduces the overhead of Translation Lookaside Buffer (TLB) lookups on machines with large amounts of memory by using larger memory pages. However in current Linux releases THP can only map individual process heap and stack space.

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In this article I would like to present the RESTForms project - generic REST API backend for modern web applications.

The idea behind the project is simple -after I wrote several REST APIs I realized that generally, REST API consists of two parts:

  • Work with persistent classes
  • Custom business logic

And, while you'll have to write your own custom business logic, RESTForms provides all things related to working with persistent classes right out of the box.
Use cases

  • You already have a data model in Caché and you want to expose some (or all) of the information in a form of REST API
  • You are developing a new Caché application and you want to provide a REST API
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This week I am going to look at CPU, one of the primary hardware food groups :) A customer asked me to advise on the following scenario; Their production servers are approaching end of life and its time for a hardware refresh. They are also thinking of consolidating servers by virtualising and want to right-size capacity either bare-metal or virtualized. Today we will look at CPU, in later posts I will explain the approach for right-sizing other key food groups - memory and IO.

So the questions are:

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Hi,

Assume an architecture where an ECP Database Server is connected to by one or more ECP Application Servers inside a firewall.The application server hosts the web application that web users connect to.

The Web servers are outside the firewall, and, (using the CSP gateway/server mechanism) issue requests over the SuperServer port and into the application server.

I know that the traffic between the Web Server and the ECP application server can be encrypted using HTTPS, and access to the CSPServer on the Application server is username/password secured.

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Article
· Oct 5, 2016 13m read
RESTful way of data transfer

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.

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Question
· Feb 12, 2016
Help with SQL error

Error:

[SQLCODE: <-400>:<Fatal error occurred>]
[Cache Error: <<SUBSCRIPT>%0AmEdun+4^%sqlcq.HSREGISTRY.cls966.1 ^||%sql.temp(1,"")>]
[Location: <ServerLoop - Query Fetch>]
[%msg: <Unexpected error occurred: <SUBSCRIPT>%0AmEdun+4^%sqlcq.HSREGISTRY.cls966.1 ^||%sql.temp(1,"")>]

Here is an example of a query that gives the error:

SELECT COUNT(DISTINCT Criteria) as Relevance FROM HS_IHE_ATNA_Repository.Aggregation
WHERE EventType = 'CROSS GATEWAY QUERY'

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Your application is deployed and everything is running fine. Great, hi-five! Then out of the blue the phone starts to ring off the hook – it’s users complaining that the application is sometimes ‘slow’. But what does that mean? Sometimes? What tools do you have and what statistics should you be looking at to find and resolve this slowness? Is your system infrastructure up to the task of the user load? What infrastructure design questions should you have asked before you went into production? How can you capacity plan for new hardware with confidence and without over-spec'ing? How can you stop the phone ringing? How could you have stopped it ringing in the first place?

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This article will provide tips and tricks on customizing Ensemble business hosts with configurable settings.

Ensemble production Settings are configurable values that control the behavior of a production and its hosts.

The documentation for adding and removing Settings and specifying categories and controls for Settings is provided at the link:

http://docs.intersystems.com/latest/csp/docbook/DocBook.UI.Page.cls?KEY=EGDV_prog#EGDV_prog_settings

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Suppose you have developed your own app with InterSystems technologies stack and now want to perform multiple deployments on the customers' side. During the development process you've composed a detailed installation guide for your application, because you need to not only import classes, but also fine-tune the environment according to your needs.
To address this specific task, InterSystems has created a special tool called %Installer. Read on to find out how to use it.

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I have been using the query below and it was working fine but now it's giving a SQL error. There were no changes made that could cause this to stop working. There is no Field 'APPLICATIONID' in the table.

QueueSQL=select distinct (convert(char(5),SkillsetID)+'='+Skillset) from iagentbySkillsetStat where ApplicationID > 10000
QueueMappingSQL=SELECT DISTINCT (convert(char(5),SkillsetID)+'='+Skillset), SkillsetID FROM iagentbySkillsetStat iagentbySkillsetStat WHERE (iagentbySkillsetStat.ApplicationID>10000)

DB- Intersystems Cache

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Article
· Nov 14, 2016 14m read
Mastering the JDBC SQL Gateway

As we all know, Caché is a great database that accomplishes lots of tasks within itself. However, what do you do when you need to access an external database? One way is to use the Caché SQL Gateway via JDBC. In this article, my goal is to answer the following questions to help you familiarize yourself with the technology and debug some common problems.

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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
· Sep 14, 2016 4m read
Creating a Dummy SOAP Web Service

A “Dummy” SOAP Web Service

When dealing with SOAP in Caché, it is sometimes necessary to debug errors by directly accessing (and sometimes editing) the XML which is sent, i.e. the SOAP request and subsequent SOAP response. If you’re debugging a Caché web service, it is often useful to use a tool such as SoapUI (https://www.soapui.org/) to manually create and control the SOAP request, so that the effect of adjustments can easily be seen on the Caché web service.

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Announcement
· Aug 25, 2016
JSON changes in Caché 2016.2

As Bill has mentioned earlier in his post, we have carefully reviewed the JSON capabilities and made some adjustments to ensure they deliver the best benefit to you. In this post, I am going to describe the modifications in more detail and provide guidance for you to understand the implication for your code base.

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Article
· Feb 17, 2016 3m read
Listing files in folder

Question:

How do I get a list of files residing in a certain folder/directory, according to some wildcard/filter.

For example all '*.txt' files in 'C:\Temp'.

Answer:

In CACHE –

You can use the %Library.File's FileSet class query.

Here's some sample code using it (also attached):

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Article
· Oct 7, 2016 4m read
Forwarding Requests in a REST Service

One useful feature of our REST framework is the ability for a dispatch class to identify request prefixes and forward them to another dispatch class. This approach of modularizing your URL map will improve code readability, enable you to easily maintain separate versions of an interface, and provide a means to protect API calls that only certain users will be allowed to access.

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