Re: Solaris ZFS on Linux [Was: Re: the " 'official' point of view" expressed by regarding reiser4 inclusion]

From: Nate Diller
Date: Mon Jul 31 2006 - 19:48:04 EST

On 7/31/06, David Lang <dlang@xxxxxxxxxxxxxxxxxx> wrote:
On Mon, 31 Jul 2006, Nate Diller wrote:

> On 7/31/06, Matthias Andree <matthias.andree@xxxxxx> wrote:
>> Adrian Ulrich wrote:
>> > See also:
>> >
>> > A quick'n'dirty ZFS-vs-UFS-vs-Reiser3-vs-Reiser4-vs-Ext3 'benchmark'
>> Whatever Postmark does, this looks pretty besides the point.
> why's that? postmark is one of the standard benchmarks...
>> Are these actual transactions with the "D"urability guarantee?
>> 3000/s doesn't look too much like you're doing synchronous I/O (else
>> figures around 70/s perhaps 100/s would be more adequate), and cache
>> exercise is rather irrelevant for databases that manage real (=valuable)
>> data...
> Data:
> 204.62 megabytes read (8.53 megabytes per second)
> 271.49 megabytes written (11.31 megabytes per second)
> looks pretty I/O bound to me, 11.31 MB/s isn't exactly your latest DDR
> RAM bandwidth. as far as the synchronous I/O question, Reiser4 in
> this case acts more like a log-based FS. That allows it to "overlap"
> synchronous operations that are being submitted by multiple threads.

what you are missing is that apps that need to do lots of syncing (databases,
mail servers) need to wait for the data to hit non-volitile media before the
write is complete. this limits such apps to ~1 write per revolution of the
platters (yes it's possible for a limited time to have multiple writes to
different things happen to be on the same track, but the counter is the extra
seek time needed between tracks)

this is true so long as there is only one thread submitting I/O and
doing fsync(). for something like a mail server, it can run
multi-threaded, and still get data integrity, if the changes are
spread out across more than one file.

so any benchmark that shows more transactions then the media has revolutions is
highly suspect (now if you have battery-backed cache, or the equivalent you can
blow past these limits)

not all workloads are completely serial, transactions themselves may
have no inter-dependencies at all. so it depends on the benchmark,
and what workload you're measuring. in cases like this, threading can
have a big advantage.

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