The Caché System Management Portal includes a robust web-based SQL query tool, but for some applications it’s more convenient to use a dedicated SQL client installed on a user’s PC.
SQuirreL SQL is a well known open source SQL client built in Java, which uses JDBC to connect to a DBMS. As such, we can configure SQuirreL to connect to Caché using the Caché JDBC driver.
I have a bit of code that does a find and replace on a "template" and inserts additional content. For example it replaces the @DATA@ with an html table:
I believe the simplest is (to work with csv delimited by ";"):
set file = ##class(%File).%New( "data.csv" )
set sc = file.Open( "R" )
if $$$ISERR(sc) quit ; or do smth
while 'file.AtEnd {
set str=file.ReadLine()
for i=1:1:$length( str, ";" ) {
set id=$piece( str, ";" ,i )
write !, id // or do smth
}
}
do file.Close()
Possible options:
different variants of error handling with sc code.
Some may think it's a strange / daft idea, but just today the Raspberry Pi folks have announced that they've now sold more than 10 million of them..and counting. That's a huge potential marketplace, and a great platform for getting people to hear about Cache and try it out. Given its focus on the education sector, another great way of getting heard about.
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.
Does anyone know of a library that can be used to create Mock objects for Objectscript classes?
Right now, my team has been building mock objects by hand to help circumvent dependencies when writing and executing unit tests, but I always wondered if someone had ever created a Mock library like Mockito to help quicken the process.
As a developer, you have probably spent at least some time writing repetetive code. You may have even found yourself wishing you could generate the code programmatically. If this sounds familiar, this article is for you!
We'll start with an example. Note: the following examples use the %DynamicObject interface, which requires Caché 2016.2 or later. If you are unfamiliar with this class, check out the documentation here: Using JSON in Caché. It's really cool!
In this article I'll describe how to set up web services and/or REST services using EWD 3.
Since EWD 3 is designed to be modular, you can construct the environment that exactly meets your needs, but for much of the time you'll probably find that the pre-built EWD 3 ewd-xpress super-module does most of what you need because it hooks together all the core EWD 3 and other building-blocks you'll need:
For each defined property, query or an index, several corresponding methods would be automatically generated on a class compilation. These methods can be very useful. In this article, I would describe some of them.
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.
InterSystems WRC has investigated several issues of process failure that can be attributed to a recent change in Red Hat Linux.
A new feature implemented in RHEL V7.2 (systemd-219-19.el7.x86_64) can cause O.S. IPC (Inter-process communication) semaphores to be deallocated when a non-system RHEL user logs out (system users, i.e. with a UID number < 1000, are excluded)
Have some free text fields in your application that you wish you could search efficiently? Tried using some methods before but found out that they just cannot match the performance needs of your customers? Do I have one weird trick that will solve all your problems? Don’t you already know!? All I do is bring great solutions to your performance pitfalls!
As usual, if you want the TL;DR (too long; didn’t read) version, skip to the end. Just know you are hurting my feelings.
InterSystems Caché globals provide very convenient features for developers. But why are globals so fast and efficient?
Theory
Basically, the Caché database is a catalog having the same name as the database and containing the CACHE.DAT file. On Unix systems, the database can also be an ordinary disk partition.
The goal of this post is to discuss working with Websockets in a Caché environment. We are going to have a quick discussion of what websockets are and then talk through an example chat application implemented on top of Websockets.
This is a posting about a particular feature of Caché which I find useful but is probably not well known or used. I am referring to the feature of Language Extensions.
This feature allows you to extend the commands, special variables and functions available in Caché Object Script with commands, special variables and functions of your own. This functionality also applies to other languages the Caché supports at the server, including Caché Basic and Multivalue Basic.
This post is intended to guide you through the new JSON capabilities that we introduced in Caché 2016.1. JSON has emerged to a serialization format used in many places. The web started it, but nowadays it is utilized everywhere. We've got plenty to cover, so let's get started.
Working on implementation FHIR to my project, I found interesting project HAPI-FHIR, which could help me to quickly launch my FHIR api server with InterSystems Caché as a storage, because this projects uses Hibernate to connect to database, as an example they use DerbyDB. I tried to change settings to use InterSystems Caché, but unfortunately it does not work and throw some errors inside HIbernate. As I found in Caché documentation, I have not some many options, I just have to set Cache dialect, and set database url.
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