Random

Random input plugin generate very simple random value samples using the device interface /dev/urandom, if not available it will use a unix timestamp as value.

Configuration Parameters

The plugin supports the following configuration parameters:

Key	Description
Samples	If set, it will only generate a specific number of samples. By default this value is set to -1, which will generate unlimited samples.
Interval_Sec	Interval in seconds between samples generation. Default value is 1.
Interval_Nsec	Specify a nanoseconds interval for samples generation, it works in conjunction with the Interval_Sec configuration key. Default value is 0.
Threaded	Indicates whether to run this input in its own thread. Default: false.

Getting Started

In order to start generating random samples, you can run the plugin from the command line or through the configuration file:

Command Line

From the command line you can let Fluent Bit generate the samples with the following options:

$ fluent-bit -i random -o stdout

Configuration File

In your main configuration file append the following Input & Output sections:

fluent-bit.conf

[INPUT]
    Name          random
    Samples      -1
    Interval_Sec  1
    Interval_NSec 0

[OUTPUT]
    Name   stdout
    Match  *

fluent-bit.yaml

pipeline:
    inputs:
        - name: random
          samples: -1
          interval_sec: 1
          interval_nsec: 0
    outputs:
        - name: stdout
          match: '*'

Testing

Once Fluent Bit is running, you will see the reports in the output interface similar to this:

$ fluent-bit -i random -o stdout
Fluent Bit v1.x.x
* Copyright (C) 2019-2020 The Fluent Bit Authors
* Copyright (C) 2015-2018 Treasure Data
* Fluent Bit is a CNCF sub-project under the umbrella of Fluentd
* https://fluentbit.io

[2016/10/07 20:27:34] [ info] [engine] started
[0] random.0: [1475893654, {"rand_value"=>1863375102915681408}]
[1] random.0: [1475893655, {"rand_value"=>425675645790600970}]
[2] random.0: [1475893656, {"rand_value"=>7580417447354808203}]
[3] random.0: [1475893657, {"rand_value"=>1501010137543905482}]
[4] random.0: [1475893658, {"rand_value"=>16238242822364375212}]