Elasticsearch

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 {
  date {
    add_field => { "foo_%{somefield}" => "Hello world, from %{host}" }
  }
}

# You can also add multiple fields at once:
filter {
  date {
    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.

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 {
  date {
    add_tag => [ "foo_%{somefield}" ]
  }
}

# You can also add multiple tags at once:
filter {
  date {
    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).

Only handle events without all/any (controlled by exclude_any config option) of these tags. Optional.

Specify a locale to be used for date parsing using either IETF-BCP47 or POSIX language tag. Simple examples are en,en-US for BCP47 or en_US for POSIX. If not specified, the platform default will be used.

The locale is mostly necessary to be set for parsing month names (pattern with MMM) and weekday names (pattern with EEE).

The date formats allowed are anything allowed by Joda-Time (java time library). You can see the docs for this format here:

joda.time.format.DateTimeFormat

An array with field name first, and format patterns following, [ field, formats... ]

If your time field has multiple possible formats, you can do this:

match => [ "logdate", "MMM dd YYY HH:mm:ss",
          "MMM  d YYY HH:mm:ss", "ISO8601" ]

The above will match a syslog (rfc3164) or iso8601 timestamp.

There are a few special exceptions. The following format literals exist to help you save time and ensure correctness of date parsing.

For example, if you have a field logdate, with a value that looks like Aug 13 2010 00:03:44, you would use this configuration:

filter {
  date {
    match => [ "logdate", "MMM dd YYYY HH:mm:ss" ]
  }
}

If your field is nested in your structure, you can use the nested syntax [foo][bar] to match its value. For more information, please refer to http://logstash.net/docs/latest/configuration#fieldreferences

Call the filter flush method at regular interval. Optional.

If this filter is successful, remove arbitrary fields from this event. Example:

filter {
  date {
    remove_field => [ "foo_%{somefield}" ]
  }
}

# You can also remove multiple fields at once:
filter {
  date {
    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.

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 {
  date {
    remove_tag => [ "foo_%{somefield}" ]
  }
}

# You can also remove multiple tags at once:
filter {
  date {
    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.

Only handle events with all/any (controlled by include_any config option) of these tags. Optional.

Store the matching timestamp into the given target field. If not provided, default to updating the @timestamp field of the event.

Specify a time zone canonical ID to be used for date parsing. The valid IDs are listed on the Joda.org available time zones page. This is useful in case the time zone cannot be extracted from the value, and is not the platform default. If this is not specified the platform default will be used. Canonical ID is good as it takes care of daylight saving time for you For example, America/Los_Angeles or Europe/France are valid IDs.

Note that all of the specified routing options (type,tags,exclude_tags,include_fields, exclude_fields) must be met in order for the event to be handled by the filter. The type to act on. If a type is given, then this filter will only act on messages with the same type. See any input plugin’s "type" attribute for more. Optional.