Foreword

Hi Community,

Hi everyone!

I'm restoring big database (1.8 Tb) from full backup to another host.

This host is weak (4Cpu 4GB RAM), so ^DBREST already works for 50 hours.

Is it possible to view restore process progres? I would like to know what time it will take to complete?

Hello community!

Two new rules have been implemented:

OS0061: unsafe namespace switch

This rule detects when the body of a method contains two or more of the following statements:

Hi All, We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out. If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology I wanted to get an opinion of the community as to these few key points - What other BI tools others have been using with IRIS and what have been their experience - For which tools are the best inbuilt support / api's avaialble in IRIS

Can anyone guide me where is the documentation for $zt?

The google seems suggest it may be "$ztime" or "$ztrap".

Thanks.

Hi,

How to change READ ONLY Database to READ/WRITE
Could not find an option to edit it.

PS:
Cache 2016.1.0.656

Thanks,
Sansa.S

Hi

In which global cache class codes are storing in cache DB?

For example, Routine codes are storing in ^ROUTINE global.

situation: Need to read line by line and need to replace one string to another string in class files(.cls file) using programming.

Need to replace Property type in class files using programming i mean via programming to edit the class files

Rather than doing a PnR I can register documents in the XDS.b Registry and store the data elsewhere, such as in the file system. Upon retrieval, however, how can I fetch it from a non-standard location? For example, a progress note whose body is stored in a SDA3 streamlet?

Hi Developers!

Often we need to use relatively small arrays with constants, static arrays in algorithms, etc where we need to do something with each element of an array. There are several ways to deal with it in ObjectSctipt.

Previously I used to use globals, locals, PPG for this but not so long time ago figured out that %List is a way too handy.

Indeed, suppose we have an array of months and need to set up and use it in our code.

Over the past few months, our team has been hard at work building a better Atelier experience for you. With three major new features and more than twenty enhancements, Atelier 1.2.118 makes it easier for you to develop important applications. It now also supports InterSystems IRIS Data Platform™, which enables you to rapidly build scalable, interoperable, and analytical data-rich applications.

Hey Community,

It's time to announce the winners of the InterSystems Python Programming Contest 2023!

Thank you to all our amazing participants who submitted 15 applications 🔥

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see our effort to suggest an “applied” definition) though partitioned across several computers that are not clustered together (neither data-wise, nor via applications, not by providing access to particular computers in principle). I.e., ideally, distributed artificial intelligence should be arranged in such a way that none of the computers participating in that “distribution” have direct access to data nor applications of another computer: the only alternative becomes transmission of data samples and executable scripts via “transparent” messaging. Any deviations from that ideal should lead to an advent of “partially distributed artificial intelligence” – an example being distributed data with a central application server. Or its inverse. One way or the other, we obtain as a result a set of “federated” models (i.e., either models trained each on their own data sources, or each trained by their own algorithms, or “both at once”).