Your question is a typical use-case dependent, the bottleneck will change
from user to user.

These are two main issues that will affect the answer:
1. How do you index: what is your indexing rate (how many docs a days)? how
big is a typical document? how many documents do you plan on indexing in
tota? do you store fields? calculate their term vectors?
2. How looks you retrieval process: What's the query rate expected? Are
there common queries (taking advantage of the cache)? Complexity of queries
(faceted / highlighted / filtered/ how many conditions, NRT)? Do you plan
to retrieve stored fields or only id's?

After answering all that there's an interative game between hardware
configuration and software configuration (how do you split your shards, use
your cache, tuning your merges and flushes etc) that would also affect the
IO / CPU bounded answer.

In my use-case for example the indexing part is IO bounded, but as my
indexing rate is much below the rate my machine could initially provide it
didn't affect my hardware spec.
After fine tuning my configuration i discovered my retrieval process was
CPU bounded and was directly affecting my avg response time, while the IO
rate in cache usage was quite low.

Try describing your use case in more details with the above questions so
we'd be able to give you guidelines.

Best,
Manu


On Mon, Mar 18, 2013 at 3:55 AM, David Parks <davidpark...@yahoo.com> wrote:

> I'm spec'ing out some hardware for a first go at our production Solr
> instance, but I haven't spent enough time loadtesting it yet.
>
>
>
> What I want to ask if how IO intensive solr is vs. CPU intensive,
> typically.
>
>
>
> Specifically I'm considering whether to dual-purpose the Solr servers to
> run
> Solr and another CPU-only application we have. I know Solr uses a fair
> amount of CPU, but if it also is very disk intensive it might be a net
> benefit to have more instances running Solr and share the CPU resources
> with
> the other app than to run Solr separate from the other CPU app that
> wouldn't
> otherwise use the disk.
>
>
>
> Thoughts on this?
>
>
>
> Thanks,
>
> David
>
>
>
>

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