Hi Community,

Please welcome the new video on InterSystems Developers YouTube:

⏯ Automating InterSystems IRIS Instances Configuration

https://www.youtube.com/embed/o-ujZctW2dg
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Hello,

We have a need to track Database changes over time - down to the SQL level of granularity if possible. Such as: User xyz runs routine ^abc and we get something similar to a changelog that tells us: table A had this value updated, insert, update etc....

Is that possible using IRIS level tools (Audit Log, Journal File, etc...) , is there a way to convert the global sets and kills from the journals into SQL level changes?

Some changes in IRIS configuration require a restart of IRIS.
This is no big issue as long as I have access to the server command line with sufficient privileges.

In a container, this is not always given.
Stopping IRIS from the terminal/session prompt is no problem.
But the restart after is.

Note1: container start-stop is no option as it might be removed by option --rm in docker run
Note2: the target is linux (manly in docker). Windows is excluded

GitHub

Hi Developers,

Writing a script for the application deployment can be very interesting to ensure rapid deployment without forgetting anything.
config-api is a library to help developers to write configuration scripts based on a JSON document.

Implemented features :

I'm almost running out of disk space so I want to move 1 DB to a different hard drive.
It's a rather simple but lengthy action during a shutdown of IRIS.
But is this somehow possible under runtime in a stand-alone installation?
I'm looking for kind of a "local drive failover"

note: Mirror or Shadow is not an option.

We released a new version of ZPM (Package Manager)

New in ZPM 0.2.14 release:

• Publishing timeout
• Embedded vars usage in module parameters
• Package installation from Github repo
• Transaction support for install, load and publish.

See the details below.

Hi ,

I have a requirement to programmatically fetch and update a Business Process Setting . It's a custom property , added in extended class .

I am trying find a sample, but no luck.

Could any one help me ?

Hey Developers,

Please welcome the new session recording from the InterSystems AI+ML Summit 2021:

⏯ AI+ML Summit Convergent Analytics – Cross-Industry Stream

https://www.youtube.com/embed/rRJ8_O4Y3gs
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Hi Community,

Please welcome the new video on InterSystems Developers YouTube:

⏯ Extending Interoperability with PEX & Containers

https://www.youtube.com/embed/JoSS4QYaELc
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Hello community,

Our organization is looking to expand our Coding Standards to be more in alignment with best practices.

I was wondering if the there are developers here that would not mind sharing any existing documents. Our scope would be this document be applicable to new hires learning Cache all the way up the chain.

Thanks in advance,

-SH

As we all well know, InterSystems IRIS has an extensive range of tools for improving the scalability of application systems. In particular, much has been done to facilitate the parallel processing of data, including the use of parallelism in SQL query processing and the most attention-grabbing feature of IRIS: sharding. However, many mature developments that started back in Caché and have been carried over into IRIS actively use the multi-model features of this DBMS, which are understood as allowing the coexistence of different data models within a single database. For example, the HIS qMS database contains both semantic relational (electronic medical records) as well as traditional relational (interaction with PACS) and hierarchical data models (laboratory data and integration with other systems). Most of the listed models are implemented using SP.ARM's qWORD tool (a mini-DBMS that is based on direct access to globals). Therefore, unfortunately, it is not possible to use the new capabilities of parallel query processing for scaling, since these queries do not use IRIS SQL access.

Meanwhile, as the size of the database grows, most of the problems inherent to large relational databases become right for non-relational ones. So, this is a major reason why we are interested in parallel data processing as one of the tools that can be used for scaling.

In this article, I would like to discuss those aspects of parallel data processing that I have been dealing with over the years when solving tasks that are rarely mentioned in discussions of Big Data. I am going to be focusing on the technological transformation of databases, or, rather, technologies for transforming databases.

Hi All,

With this article, I would like to show you how easily and dynamically System Alerting and Monitoring (or SAM for short) can be configured. The use case could be that of a fast and agile CI/CD provisioning pipeline where you want to run your unit-tests but also stress-tests and you would want to quickly be able to see if those tests are successful or how they are stressing the systems and your application (the InterSystems IRIS backend SAM API is extendable for your APM implementation).

Hi Community,

The new video from Global Summit 2019 is already on InterSystems Developers YouTube:

⏯ Leveraging Containers for DevOps

https://www.youtube.com/embed/i02IfQnk5zE
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This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that: