For the project I am working on there are going to be a lot of individual
objects, eventually into the millions, with the vast majority of them being
linked as (poorly) depicted below.
Overly simplified data model:
B <==========>B
____|___ ___|___
/ \ / \
C C C C
/ / \ \ / / \ \ / / \ \ / / \ \
| | | | | | | | | | | | | | | |
D D D D D D D D D D D D D D D D
Where some of the B level objects (each level separated into different buckets)
are linked to each other but in very limited numbers. In some of these areas
there will be a ton of rapid updates and in others much more rare updates.
Since a decent portion of my data modifications involve nothing more than
shifting which C level object a D level object is associated with, is there
anything I should keep in mind when planning for a lot of link-changing
operations? For example, though for some reason I can't find it now, I remember
reading that the amount of links one could have per object was something like
170K links, is that correct? I understand performance would degrade quite a bit
when one has that amount of data for a single object and my project won't call
for anywhere near that but just want to understand the nuances of the whole
process.
Also, sort of related, I plan on running this whole thing on a single dedicated
server machine (unless I get major usage and get the money to upgrade) that
will have multiple CPU's. Should I just operate one physical node on that
machine or should I match the number of CPU's with the number of nodes,
essentially dedicating each physical CPU to handling a hardware node (if that
is possible)? What would the pros and cons be to a single or multi-node system
on that sort of hardware?
Chris Hicks.
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