Software testing is an investigation conducted to provide stakeholders with information about the quality of the software product or service under test.
I found the need to merge 2 Docker images (e.g. intersystems/iris-community:2020.2.0.199.0 + my home grown NodeJS Image). I found some advice on the Web but no real convincing solution.
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:
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.
It is with great pleasure that the CIUSSS de l'Estrie - CHUS is sharing the mocking framework it developed and presented at the InterSystems Summit 2017. I will update this post with more detailed instructions in the next few weeks but I wanted to share the code and presentation quickly :
The Mockable.io (https://www.mockable.io/) is an online service to deploy REST API or SOAP services in seconds. This is useful to test the consumption of an API or SOAP service in your production or objectscript class without having to implement a real service, including https option.
I was first introduced to TDD almost 9 year ago, and I immediately fell in love with it. Nowadays it's become very popular but, unfortunately, I see that many companies don't use it. Moreover, many developers don't even know what it is exactly or how to use it, mainly beginners.
Continuing on with providing some examples of various storage technologies and their performance profiles, this time we looked at the growing trend of leveraging internal commodity-based server storage, specifically the new HPE Cloudline 3150 Gen10 AMD processor-based single socket servers with two 3.2TB Samsung PM1725a NVMe drives.
However, few people know what technology the agency chose for storing and processing the data collected by Gaia. Two years before the launch, in 2011, the developers were considering a number of candidates (see “Astrostatistics and Data Mining” by Luis Manuel Sarro, Laurent Eyer, William O’Mullane, Joris De Ridder, pp. 111-112):
As a developer, usually I'm concerned about how my code health is, and how the other coders code can affect to my own work. And I'm quite sure most of us feel very similar.
In our company we use a Static Code Analysis tool to analyze code for different languages to ensure we are writing high quality and easily maintainable code by following a few best practices in terms of code structure and content. And the question was: why should be different for Caché ObjectScript language?
Are there any tools to check the code coverage and to do a lint check for cache object script? Developers will be working with HealthConnect (IRIS based)
InterSystems and Intel recently conducted a series of benchmarks combining InterSystems IRIS with 2nd Generation Intel® Xeon® Scalable Processors, also known as “Cascade Lake”, and Intel® Optane™ DC Persistent Memory (DCPMM). The goals of these benchmarks are to demonstrate the performance and scalability capabilities of InterSystems IRIS with Intel’s latest server technologies in various workload settings and server configurations. Along with various benchmark results, three different use-cases of Intel DCPMM with InterSystems IRIS are provided in this report.
It seems like yesterday when we did a small project in Java to test the performance of IRIS, PostgreSQL and MySQL (you can review the article we wrote back in June at the end of this article). If you remember, IRIS was superior to PostgreSQL and clearly superior to MySQL in insertions, with no big difference in queries.
OAuth server to be deployed on the IRIS learning cloud platform. Clients - one on the other instance of the learning IRIS server, the other client locally on my computer in the container docker.
Both clients get a seemingly correct link (through ##class(%SYS.OAuth2.Authorization).GetAuthorizationCodeEndpoint()) to the login request form:
Heretofore is announced a new project which aims at providing a usable library for both running unit tests and collecting code coverage information at the same time:
When we write unit test cases for cache object script code using %UnitTest.TestCase, what is the best way to write code to identify code coverage?
So, let say my unit test case hit all 10 lines of code of a method for a given class. So, unit test coverage should be 100% for that. But, using line-by-line coverage [(%Monitor.System.LineByLine] getting wrong percentage, because it also includes code comment/documentation as part of code. So, practically we can not ever achieve 100% of code coverage by using this API.
I want to share with you the approach you can use working with Unit Testing which I personally find very convenient and robust.
Will not talk much here about Unit Testing, we have documentation, enough good articles on the topic not only on the Internet but here on Developers Community too, e.g. this one.
How can you manage the Unit Testing of your ZPM module?
This is pretty handy with ZPM. It has a special command "test" which runs all the tests you mentioned in the module. You can execute it as shown below:
zpm:USER>module-name test
And this command runs all the tests you mentioned in module.xml.
Good morning people. The use of TDD is currently being reference for software delivery more confiabilitade and quality.
At the company I work developing web applications , we create tests for method class in a deteminado package and running the steps that the documentation recommends:
1 export the tests classes to a predefined folder. 2- And running the test ( D ## class (% UnitTest.Manager ) .RunTest (,"/nodelete" )
It is a lot of work to do the export and run these tests would have a resource that we could only run the tests without the need for export ?
I needed to know programmatically if last ran failed or not.
After some exploring, here's the code:
ClassMethod isLastTestOk() As %Boolean
{
set in = ##class(%UnitTest.Result.TestInstance).%OpenId(^UnitTest.Result)
for i=1:1:in.TestSuites.Count() {
#dim suite As %UnitTest.Result.TestSuite
set suite = in.TestSuites.GetAt(i)
return:suite.Status=0 $$$NO
}
quit $$$YES
}
A few years ago, I was teaching the basics of our %UnitTest framework during Caché Foundations class (now called Developing Using InterSystems Objects and SQL). A student asked if it was possible to collect performance statistics while running unit tests. A few weeks later, I added some additional code to the %UnitTest examples to answer this question. I’m finally sharing it on the Community.
In the main software development methodologies there is always a chapter dedicated to testing. It is a mandatory approach to achieving quality in deliveries on an ongoing basis.
We are upgrading from Health Connect 2018.1.3 to IRIS Health Connect 2022.1, and one thing that we are particularly hesitant about is if our Business Rules will work in the new version.
I am trying to come up with a testing process for bulk testing our rules, and wanted to know if this could be done programmatically instead of having to modify all the Business Operations to have them write the HL7 data to a file. I caught Orlando Health's presentation at GS2022 but I am not sure that will work for my team.
During my search for a snapshot of a persistent object, I met a feature that I would like to share as it could be useful in some special situations. My trigger was to have a before- and an after-image during unit testing.
All time
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