I'm participating in the Developing with InterSystems Objects and SQL with Joel Solon. The course is very nice and I will share with you some tips I got during the training. Tips presented in the day 4:
What do you think If I will say you, that very soon you will be able to connect to IRIS from the application written in Rust.
What is Rust
Rust is a multi-paradigm programming language designed for performance and safety, especially safe concurrency. Rust is syntactically similar to C++, but can guarantee memory safety by using a borrow checker to validate references. Rust achieves memory safety without garbage collection, and reference counting is optional. (c) Wikipedia
Migration from Caché to IRIS can be quite a challenge if your code is grown over many years
and probably not so clean structured as you may like it. So you face the need to check your
migrated code against some reference data. A few samples might not be a problem,
but some hundred GB of data for testing might be.
A possible step could be to have your fresh code in IRIS but leave your huge datastore on Caché and connect both environments over ECP. I have created a demo project that gives you the opportunity to try this based on 2 Docker images with IRIS and with Caché connected over ECP.
Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011. Applied to the estimated 2011 Gross World Product, this figure translates to a potential total fraud loss of more than $3.5 trillion (source: https://www.acfe.com/press-release.aspx?id=4294973129).
In the previous article, [What is a Production?], we checked the production contents. We ran the sample code and checked the flowing messages' contents into the production on the Visual Trace page.
In the previous article, we discussed the development of business processes, which are part of the components required for system integration and serve as a production coordinator.
Accuracy rate is a measure of our prediction results, and it is a measure of how many of the predicted positive samples are actually positive. The recall rate is for our original sample, and it shows how many positive examples in the sample were correctly predicted. Accuracy = Predicted correctly/All If we want to be able to retrieve as much content as possible, this is the pursuit of "recall ratio", namely A/(A+C), the bigger the better.
The "apptools-admin" project is not only a set of tools for the administrator, but a platform for the rapid creation of a prototype of any solution.
For example, Photo Album, Music Player, and Personal Library all come together in a user-friendly treasure chest design.
This tool is used to generate random read Input/Output (IO) from within the database. The goal of this tool is to drive as many jobs as possible to achieve target IOPS and ensure acceptable disk response times are sustained. Results gathered from the IO tests will vary from configuration to configuration based on the IO sub-system. Before running these tests ensure corresponding operating system and storage level monitoring are configured to capture IO performance metrics for later analysis.
Sometimes when we develop a mockup or PoC there is a need for a simple interface that will provide data in IRIS in JSON against SQL queries.
And recently I contributed a simple module that does exactly that:
accepts SQL string and returns the JSON.
How to install? Just call:
zpm "install sql-rest"
If you install it in a namespace X it will setup a /sql endpoint to your system that will accept POST requests with SQL string and will return the result for you for the data available in the namespace X.
I'm participating in the Developing with InterSystems Objects and SQL with Joel Solon. The course is very nice and I will share with you some tips I got during the training. Tips presented in the day 3:
I'm participating in the Developing with InterSystems Objects and SQL with Joel Solon. The course is very nice and I will share with you some tips I got during the training. Tips presented in the day 2:
InterSystems API Management (IAM) - a new feature of the InterSystems IRIS Data Platform, enables you to monitor, control and govern traffic to and from web-based APIs within your IT infrastructure. In case you missed it, here is the link to the announcement. And here's an article explaining how to start working with IAM.
In this article, we would use InterSystems API Management to Load Balance an API.
In our case, we have 2 InterSystems IRIS instances with /api/atelier REST API that we want to publish for our clients.
There are many different reasons why we might want to do that, such as:
Load balancing to spread the workload across servers
Blue-green deployment: we have two servers, one "prod", other "dev" and we might want to switch between them
Canary deployment: we might publish the new version only on one server and move 1% of clients there
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Hi Community!
Today I'd like to share with you a link to some exercises from a workshop about developing REST APIs and how to manage them using InterSystems API Manager.
In the first installment of this article series, we discussed how to read a “big” chunk of data from the raw body of an HTTP POST method and save it to a database as a stream property of a class. Now let’s look at how to save such data and metadata in JSON format.
I just published isc-mem-config on OpenExchange and ZPM. It's a prototype to test whether this kind of user experience (UX) is a good fit for novice and / or more seasoned users. The settings it generates are already fairly-good-practice :-), but also being reviewed by experts within InterSystems in parallel.
I thought i would share a little method I knocked together to traverse and compare 2 JSON objects for basic equivilance. I'm currently working on some data migration, and wanted a basic sanity check to validate that the JSON output is basically equivliant between the old and new, excluding a few things like timestamps.
It's a basic little recurvsive method, that will bubble up any differences over a nested structure. It's very low tech, as that's all I need it to do, but I thought it might be useful for others?
I'm sharing a little tool (REST service) to download interoperability messages from your browser.
You only need to:
1. Create a web application in Management Portal (e.g. /downloadmsg) and set DispatchClass=Util.DownloadMsg.
2. Call the tool using your browser passing the namespace and the message header id to download. http://localhost:52773/downloadmsg/ns/mydev/msgid/17441
Embedded python gives the option to load and run python code in the InterSystems IRIS server. You can either use library modules from Python pip, like numpy, pandas, etc, or you can write your own python modules in the form of standalone py files.
So once you are happy with the development phase of the IRIS Embedded Python solution there is another very important question of how the solution could be deployed.
One of the options you can consider is using the ZPM Package manager which is described in this article.
I recently learnt something new while working with WRC on an issue, and I wanted to share with everyone on the off chance it could help someone else.
Scenario:
Files are being inexplicably written to a folder on your server and, due to the number of files in the folder and general system throughput, it is not possible to work through the files to track down the source.
By update
Open Exchange app
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