# `bigml-parallel`: A CLI tool for running WhizzML scripts in parallel
This is a tool for parallel processing of BigML resources (typically sources or datasets) using WhizzML scripts. It's still somewhat experimental. To install, download binaries from the [releases page](https://github.com/faradayio/bigml-rs/releases).
This tool will output the resulting BigML execution objects as JSON structs, one per line, in no particular order. It runs up to `--max-tasks` BigML executions at a time.
```txt
Execute WhizzML script in parallel over one or more BigML resources
USAGE:
bigml-parallel [OPTIONS] --script <script>
FLAGS:
-h, --help Prints help information
-V, --version Prints version information
OPTIONS:
-i, --input <inputs>...
Extra inputs to our WhizzML script, specified as
"name=value". These will be parsed as JSON if possible,
or treated as strings otherwise
-J, --max-tasks <max-tasks>
How many BigML tasks should we use at a time? [default:
2]
-n, --name <name>
The name to use for our execution objects
-o, --output <outputs>...
Expected outputs to our WhizzML script, specified as
"name"
-R, --resource-input-name <resource-input-name>
The input name used to pass the dataset [default:
resource]
-r, --resource <resources>...
The resource IDs to process. (Alternatively, pipe
resource IDs on standard input, one per line.)
--retry-count <retry-count>
How many times should we retry a failed execution
matching --retry-on? [default: 0]
--retry-on <retry-on>
A regular expression specifying which WhizzML script
errors should be retried
-s, --script <script>
The WhizzML script ID to run
--tag <tags>...
Apply a tag to the BigML resources we create
```