Being impressed by the graphics of the package GBLSizeMonitor from @Ashok Kumar T
I ask for his help, and this is the result of our cooperation.
As in the previous package, all is running from a CSP page.
And it is all classic CSP written with InterSystems ObjectScript, JavaScript, HTML

Hey Community!

We’re updating the Developer Community search engine this weekend to make it faster and more accurate (we hope 😉).

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Overview

This web interface is designed to facilitate the management of Data Lookup Tables via a user-friendly web page. It is particularly useful when your lookup table values are large, dynamic, and frequently changing. By granting end-users controlled access to this web interface (read, write, and delete permissions limited to this page), they can efficiently manage lookup table data according to their needs.

The data managed through this interface can be seamlessly utilized in HealthConnect rules or data transformations, eliminating the need for constant manual monitoring and management of the lookup tables and thereby saving significant time.

Note:
If the standard Data Lookup Table does not meet your mapping requirements, you can create a custom table and adapt this web interface along with its supporting class with minimal modifications. Sample class code is available upon request.

We run mixed workloads in IRIS. For analytical queries, are bitmap indexes effective? What are the caveats for concurrent OLTP updates, and how should I maintain bitmap indexes efficiently?

When writing dynamic SQL queries using embedded SQL, how can I force or ensure that filter conditions are pushed down to the data access layer rather than evaluated in memory?

We want to expose both REST and GraphQL endpoints over the same data models. Is there a way to implement or integrate GraphQL with ObjectScript and map to class methods?

What are the best practices for creating a multi-tenant app in IRIS? How can I isolate data per tenant using namespaces, control resource usage, and delegate access via roles securely?

We want to iterate over large global structures in real-time without blocking or locking readers. How can we safely use $Order() and implement a lock-free analytics approach?

We are using IRIS with a sharded architecture. Complex SQL queries (with joins, aggregates, and subqueries) are performing slowly. How can I design queries or indexes to optimize distributed execution across shards?

For space optimization, we want to apply a domain-specific compression algorithm to binary stream data before writing to %Stream.GlobalBinary. Is it possible to override or extend stream classes to include compression/decompression?

Can someone help me understand what type of user error (?) is going on here please?

One one system, I write out a group of $c() values and get the expected results:

USER>for i=250:1:260 { write i," ", $c(i),! }
250 ú
251 û
252 ü
253 ý
254 þ
255 ÿ
256 Ā
257 ā
258 Ă
259 ă
260 Ą

USER>w $zv
IRIS for Windows (x86-64) 2023.1.4 (Build 580U) Fri Apr 19 2024 11:16:07 EDT
USER>

On another system, I get some unexpected results:

Hi, Community!

Are you curious about what it's like to be a subject matter expert for InterSystems Certification? Hear from members of our SME community, then join the discussion!

What did you enjoy most about being a Subject Matter Expert?

Target Practice for IrisClusters with KWOK

KWOK, Kubernetes WithOut Kubelet, is a lightweight tool that simulates nodes and pods—without running real workloads—so you can quickly test and scale IrisCluster behavior, scheduling, and zone assignment. For those of you wondering what value is in this without the IRIS workload, you will quickly realize it when you play with your Desk Toys awaiting nodes and pods to come up or get the bill for provisioning expensive disk behind the pvc's for no other reason than just to validate your topology.

Here we will use it to simulate an IrisCluster and target a topology across 4 zones, implementing high availability mirroring across zones, disaster recovery to an alternate zone, and horizontal ephemeral compute (ecp) to a zone of its own. All of this done locally, suitable for repeatable testing, and a valuable validation check mark on the road to production.

gj :: configExplorer is a new VS Code extension integrating with Server Manager and leveraging Structurizr to produce configuration diagrams of your servers.

Here's a short introductory video.

https://www.youtube.com/embed/WHkoZsg6P-A
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