metricizeedit

  • Version: 3.0.0
  • Released on: 2016-09-09
  • Changelog

This plugin does not ship with Logstash by default, but it is easy to install by running bin/logstash-plugin install logstash-filter-metricize.

The metricize filter takes complex events containing a number of metrics and splits these up into multiple events, each holding a single metric.

Example:

Assume the following filter configuration:
filter {
  metricize {
    metrics => [ "metric1", "metric2" ]
  }
}
Assuming the following event is passed in:
{
     type => "type A"
     metric1 => "value1"
     metric2 => "value2"
}
This will result in the following 2 events being generated in addition to the original event:
{                               {
    type => "type A"                type => "type A"
    metric => "metric1"             metric => "metric2"
    value => "value1"               value => "value2"
}                               }

 

Synopsisedit

This plugin supports the following configuration options:

Required configuration options:

metricize {
    metrics => ...
}

Available configuration options:

Setting Input type Required Default value

add_field

hash

No

{}

add_tag

array

No

[]

drop_original_event

boolean

No

false

enable_metric

boolean

No

true

id

string

No

metric_field_name

string

No

"metric"

metrics

array

Yes

periodic_flush

boolean

No

false

remove_field

array

No

[]

remove_tag

array

No

[]

value_field_name

string

No

"value"

Detailsedit

 

add_fieldedit

  • Value type is hash
  • Default value is {}

If this filter is successful, add any arbitrary fields to this event. Field names can be dynamic and include parts of the event using the %{field}.

Example:

    filter {
      metricize {
        add_field => { "foo_%{somefield}" => "Hello world, from %{host}" }
      }
    }
[source,ruby]
    # You can also add multiple fields at once:
    filter {
      metricize {
        add_field => {
          "foo_%{somefield}" => "Hello world, from %{host}"
          "new_field" => "new_static_value"
        }
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would add field foo_hello if it is present, with the value above and the %{host} piece replaced with that value from the event. The second example would also add a hardcoded field.

add_tagedit

  • Value type is array
  • Default value is []

If this filter is successful, add arbitrary tags to the event. Tags can be dynamic and include parts of the event using the %{field} syntax.

Example:

    filter {
      metricize {
        add_tag => [ "foo_%{somefield}" ]
      }
    }
[source,ruby]
    # You can also add multiple tags at once:
    filter {
      metricize {
        add_tag => [ "foo_%{somefield}", "taggedy_tag"]
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would add a tag foo_hello (and the second example would of course add a taggedy_tag tag).

drop_original_eventedit

  • Value type is boolean
  • Default value is false

Flag indicating whether the original event should be dropped or not.

enable_metricedit

  • Value type is boolean
  • Default value is true

Disable or enable metric logging for this specific plugin instance by default we record all the metrics we can, but you can disable metrics collection for a specific plugin.

idedit

  • Value type is string
  • There is no default value for this setting.

Add a unique ID to the plugin instance, this ID is used for tracking information for a specific configuration of the plugin.

output {
 stdout {
   id => "ABC"
 }
}

If you don’t explicitely set this variable Logstash will generate a unique name.

metric_field_nameedit

  • Value type is string
  • Default value is "metric"

Name of the field the metric name will be written to.

metricsedit

  • This is a required setting.
  • Value type is array
  • There is no default value for this setting.

A new matrics event will be created for each metric field in this list. All fields in this list will be removed from generated events.

periodic_flushedit

  • Value type is boolean
  • Default value is false

Call the filter flush method at regular interval. Optional.

remove_fieldedit

  • Value type is array
  • Default value is []

If this filter is successful, remove arbitrary fields from this event. Fields names can be dynamic and include parts of the event using the %{field} Example:

    filter {
      metricize {
        remove_field => [ "foo_%{somefield}" ]
      }
    }
[source,ruby]
    # You can also remove multiple fields at once:
    filter {
      metricize {
        remove_field => [ "foo_%{somefield}", "my_extraneous_field" ]
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would remove the field with name foo_hello if it is present. The second example would remove an additional, non-dynamic field.

remove_tagedit

  • Value type is array
  • Default value is []

If this filter is successful, remove arbitrary tags from the event. Tags can be dynamic and include parts of the event using the %{field} syntax.

Example:

    filter {
      metricize {
        remove_tag => [ "foo_%{somefield}" ]
      }
    }
[source,ruby]
    # You can also remove multiple tags at once:
    filter {
      metricize {
        remove_tag => [ "foo_%{somefield}", "sad_unwanted_tag"]
      }
    }

If the event has field "somefield" == "hello" this filter, on success, would remove the tag foo_hello if it is present. The second example would remove a sad, unwanted tag as well.

value_field_nameedit

  • Value type is string
  • Default value is "value"

Name of the field the metric value will be written to.