> On 20 Oct 2023, at 11:34, Jawaid Bazyar <baz...@gmail.com> wrote:
> 
> Would a DMQ cluster with RAM-based store and a relatively small number of 
> nodes (say, 5 for example) be able to handle a location table measured in the 
> scale of 1 million nodes?

A million rows isn't really that much in contemporary computing scales.

> Has anyone done this before?

Yes. 

> I assume DMQ has some provision to prevent loops / etc ?
> 
> Wondering about scaling a location service vertically and separating into a 
> different layer from the stuff that needs to scale horizontally.

I think you might be overthinking it for a million contacts. I wouldn't split 
these hairs. DMQ is either fundamentally viable for something within that order 
of magnitude (it is), or it's not. It doesn't magically cave in at 1.2 million.

In thinking of reasons not to do DMQ, I would think about it from an even 
higher-level perspective: you know that data consistency and consensus are 
pretty difficult problems, and it's unlikely that a module developed by more or 
less one person and without significant resources and focus invested in these 
problems is going to rival a widely-used database (of one sort or another).

In thinking of reasons to do DMQ: if it's fundamentally reliable, edge-cases 
and failure modes may not be important enough to outweigh the cost savings, 
simplicity and performance boost of not having to synchronise blocking lookups 
over a remote database, deal with the problems of making that database highly 
available, operate and care for and feed the database, etc. Plus, there's a 
generally correct sense in software engineering that using database as an 
inter-process communication mechanism for ephemeral, short-term data streams is 
an antipattern[1][2]. There is room for lively debate about whether is the 
correct framing of what a SIP location service does.

-- Alex

[1] https://en.wikipedia.org/wiki/Database-as-IPC 

[2] https://stackoverflow.com/questions/3815941/database-as-ipc-antipattern

-- 
Alex Balashov
Principal Consultant
Evariste Systems LLC
Web: https://evaristesys.com
Tel: +1-706-510-6800

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