[OpenIndiana-discuss] OpenIndiana as a production archive service

Jake jak3kaj at gmail.com
Fri Jan 20 12:28:13 UTC 2012



On Jan 19, 2012, at 9:09 PM, Jan Owoc <jsowoc at gmail.com> wrote:

> Hi Len,
> 
> 
> I'm just starting with OpenIndiana, but I can try to answer two of
> your questions.
> 
> 
> On Thu, Jan 19, 2012 at 2:24 PM, Len Zaifman <leonardz at sickkids.ca> wrote:
>> 2) Running a file service with ~ 36 disks in three  11 disk (9+2) raidz2 vdevs + hotspares, almost all data will be copied from another fileserver into compressed directories on each of these 2 devices.
>>  IS OpenINdiana 151a stable enough to do this with potentially .5-1 TB/day being downloaded?
> 
> From what I have read, oi151a isn't inherently unstable in the same
> sense that Debian Sid is unstable. To assess the "stability" for your
> needs, I would take a look at the known issues in the release notes
> [1] and potentially the list of open issues [2].
> 
> [1] http://wiki.openindiana.org/oi/oi_151a+Release+Notes
> [2] https://www.illumos.org/projects/openindiana/issues
> 
Take a look at the prestable release as well. This is right around the corner.
[3]
http://wiki.openindiana.org/oi/oi_151a_prestable0+Release+Notes
> 
> 
>> 3) Any recommendations (keeping in mind we are going to use gzip compressed file systems) for number/speed of cores and ram???
> 
> Gzip compression, while fast, will likely saturate any CPU before the
> HDDs get saturated. With current Xeons/Opterons, you can expect to
> saturate Fast Ethernet, but not Gigabit Ethernet, on writes.
> Decompressing (for reads) is generally an order of magnitude faster.
> 
> For memory, the more the better. No less than 4GB. If using
> deduplication, ~2GB/TB of unique file data [3].
> 
> [3] http://blogs.oracle.com/roch/entry/dedup_performance_considerations1
> 
> 
>> We run commercial (solaris) ZFS systems and are happy with them.
> 
> To better answer question 3, you could look at the specs on your
> production Solaris ZFS system - OI's implementation of ZFS should be
> very similar, and you can expect similar performance.
> 
> 
> Jan
> 
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