There are a few built-in workloads which you may want to run. These can be run from a command without having to configure anything, or they can be tailored with their built-in parameters.
Finding Workloads
To find the build-in scenarios, ask NoSQLBench like this:
nb5 --list-workloads
This specifically lists the workloads which provide named scenarios. Only named scenarios are
included. Workloads are contained in yaml files. If a yaml file is in the standard path and contains
a root scenarios element, then it is included in the listing above.
Each of these scenarios has a set of parameters which can be changed on the command line.
Running Workloads
You can run them directly, by name with nb5 <workload> [<scenario>] [<params>...]. If not provided,
scenario is assumed to be default.
For example, the cql-iot workload is listed with the above command, and can be executed like this:
# put your normal extra params in ... below, like hosts, for example
nb5 cql-iot default ...
# OR, with scenario name default
nb5 cql-iot ...
You can add any parameters to the end, and these parameters will be passed automatically to each stage of the scenario as needed. Within the scenario, designers have the ability to lock parameters so that overrides are used appropriately.
Conventions
The built-in workloads follow a set of conventions so that they can be used interchangeably. This is more for users who are using the stages of these workloads directly, or for users who are designing new scenarios to be included in the built-ins.
Phases
Each built-in contains the following tags that can be used to break the workload up into uniform steps:
- schema - selected with
tags=block:schema - rampup - selected with
tags=block:rampup - main - selected with
tags=block:main
Parameters
Each built-in has a set of adjustable parameters which is documented below per workload. For
example, the cql-iot workload has a sources parameter which determines the number of unique
devices in the dataset.
Adding Workloads
If you want to add your own workload to NoSQLBench, or request a specific type of workload, please Request a workload or Submit a pull request.