The following changes since commit 2cafffbea5d2ed2f20d73efa0d82baa9046e0b12:
Add support for preadv2/pwritev2 (2016-02-26 11:02:54 -0800)
are available in the git repository at:
git://git.kernel.dk/fio.git master
for you to fetch changes up to 8116fd24b737c9d878ccb6a4cc13cc4f974dc2dc:
Update documentation for random_distribution=gauss (2016-03-03 14:00:54 -0700)
----------------------------------------------------------------
Jens Axboe (1):
Update documentation for random_distribution=gauss
HOWTO | 5 ++++-
fio.1 | 16 ++++++++++------
2 files changed, 14 insertions(+), 7 deletions(-)
---
Diff of recent changes:
diff --git a/HOWTO b/HOWTO
index c37a9e0..d70c9af 100644
--- a/HOWTO
+++ b/HOWTO
@@ -963,6 +963,7 @@ random_distribution=str:float By default, fio will use a completely uniform
random Uniform random distribution
zipf Zipf distribution
pareto Pareto distribution
+ gauss Normal (guassian) distribution
When using a zipf or pareto distribution, an input value
is also needed to define the access pattern. For zipf, this
@@ -971,7 +972,9 @@ random_distribution=str:float By default, fio will use a completely uniform
what the given input values will yield in terms of hit rates.
If you wanted to use zipf with a theta of 1.2, you would use
random_distribution=zipf:1.2 as the option. If a non-uniform
- model is used, fio will disable use of the random map.
+ model is used, fio will disable use of the random map. For
+ the gauss distribution, a normal deviation is supplied as
+ a value between 0 and 100.
percentage_random=int For a random workload, set how big a percentage should
be random. This defaults to 100%, in which case the workload
diff --git a/fio.1 b/fio.1
index f98802a..81c266b 100644
--- a/fio.1
+++ b/fio.1
@@ -874,15 +874,19 @@ Zipf distribution
.B pareto
Pareto distribution
.TP
+.B gauss
+Normal (gaussian) distribution
+.TP
.RE
.P
-When using a zipf or pareto distribution, an input value is also needed to
-define the access pattern. For zipf, this is the zipf theta. For pareto,
-it's the pareto power. Fio includes a test program, genzipf, that can be
-used visualize what the given input values will yield in terms of hit rates.
-If you wanted to use zipf with a theta of 1.2, you would use
+When using a \fBzipf\fR or \fBpareto\fR distribution, an input value is also
+needed to define the access pattern. For \fBzipf\fR, this is the zipf theta.
+For \fBpareto\fR, it's the pareto power. Fio includes a test program, genzipf,
+that can be used visualize what the given input values will yield in terms of
+hit rates. If you wanted to use \fBzipf\fR with a theta of 1.2, you would use
random_distribution=zipf:1.2 as the option. If a non-uniform model is used,
-fio will disable use of the random map.
+fio will disable use of the random map. For the \fBgauss\fR distribution, a
+normal deviation is supplied as a value between 0 and 100.
.TP
.BI percentage_random \fR=\fPint
For a random workload, set how big a percentage should be random. This defaults
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