Re: Number of servers required to process half TB of data

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I guess it just depends on the data, the indexes, the schema, the
hardware..... LOL.

Seriously though,
one thing you might want to consider is using a high-end array
subsystem that would have a large read/write cache. Naturally,
everything will need to be tuned to support this one-second query you
are referring to. Most of the higher end systems have blazing fast I/O
when configured properly. Using one very powerful machine hooked into
one of these arrays with everything configured properly could
potentially get you satisfactory results.


jatin.gro...@xxxxxxxxx wrote:
Hi all,

For the development of an idea, I am trying to find out how many
servers will be required to process half a terabyte of data, in one
second? To clarify the problem, we have 13 weeks' daily POS data that
runs into half a terabyte. I think the only way to have the result of a
select query on this amount of data would be to have it all in RAM. So,
half terabyte of RAM, spread across perhaps 32 computers, working over
a fiber channel, or something else blazing fast. Would such a setup be
able to give me a response to a select query with a where clause, in a
second, or maybe a couple of seconds? Can I get by using less
computers?

Need help in figuring this out.

Thanks,
Jatin

.



Relevant Pages

  • Re: Number of servers required to process half TB of data
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  • Re: Number of servers required to process half TB of data
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    (microsoft.public.sqlserver)
  • Re: Number of servers required to process half TB of data
    ... runs into half a terabyte. ... select query on this amount of data would be to have it all in RAM. ... half terabyte of RAM, spread across perhaps 32 computers, working over ... I would suggest that if you are serious about throwing this kind of hardware ...
    (microsoft.public.sqlserver)
  • Re: Number of servers required to process half TB of data
    ... runs into half a terabyte. ... select query on this amount of data would be to have it all in RAM. ... half terabyte of RAM, spread across perhaps 32 computers, working over ... I would suggest that if you are serious about throwing this kind of hardware ...
    (microsoft.public.sqlserver)
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