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
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