Configuring Parser
Parsers are an important component of Fluent Bit, with them you can take any unstructured log entry and give them a structure that makes easier it processing and further filtering.
The parser engine is fully configurable and can process log entries based in two types of format:
By default, Fluent Bit provides a set of pre-configured parsers that can be used for different use cases such as logs from:
- Apache
- Nginx
- Docker
- Syslog rfc5424
- Syslog rfc3164
Parsers are defined in one or multiple configuration files that are loaded at start time, either from the command line or through the main Fluent Bit configuration file.
Note: If you are using Regular Expressions note that Fluent Bit uses Ruby based regular expressions and we encourage to use Rubular web site as an online editor to test them.
Multiple parsers can be defined and each section has it own properties. The following table describes the available options for each parser definition:
Key | Description |
|---|---|
Name | Set an unique name for the parser in question. |
Format | |
Regex | If format is regex, this option must be set specifying the Ruby Regular Expression that will be used to parse and compose the structured message. |
Time_Key | If the log entry provides a field with a timestamp, this option specifies the name of that field. |
Time_Format | Specify the format of the time field so it can be recognized and analyzed properly. Fluent-bit uses strptime(3) to parse time so you can refer to strptime documentation for available modifiers. |
Time_Offset | Specify a fixed UTC time offset (e.g. -0600, +0200, etc.) for local dates. |
Time_Keep | By default when a time key is recognized and parsed, the parser will drop the original time field. Enabling this option will make the parser to keep the original time field and it value in the log entry. |
Types | Specify the data type of parsed field. The syntax is types <field_name_1>:<type_name_1> <field_name_2>:<type_name_2> .... The supported types are string(default), integer, bool, float, hex. The option is supported by ltsv, logfmt and regex. |
Decode_Field | Decode a field value, the only decoder available is json. The syntax is: Decode_Field json <field_name>. |
Skip_Empty_Values | Specify a boolean which determines if the parser should skip empty values. The default is true. |
All parsers must be defined in a parsers.conf file, not in the Fluent Bit global configuration file. The parsers file expose all parsers available that can be used by the Input plugins that are aware of this feature. A parsers file can have multiple entries like this:
[PARSER]
Name docker
Format json
Time_Key time
Time_Format %Y-%m-%dT%H:%M:%S.%L
Time_Keep On
[PARSER]
Name syslog-rfc5424
Format regex
Regex ^\<(?<pri>[0-9]{1,5})\>1 (?<time>[^ ]+) (?<host>[^ ]+) (?<ident>[^ ]+) (?<pid>[-0-9]+) (?<msgid>[^ ]+) (?<extradata>(\[(.*)\]|-)) (?<message>.+)$
Time_Key time
Time_Format %Y-%m-%dT%H:%M:%S.%L
Time_Keep On
Types pid:integer
For more information about the parsers available, please refer to the default parsers file distributed with Fluent Bit source code:
In addition, we extended our time resolution to support fractional seconds like 2017-05-17T15:44:31**.187512963**Z. Since Fluent Bit v0.12 we have full support for nanoseconds resolution, the %L format option for Time_Format is provided as a way to indicate that content must be interpreted as fractional seconds.
Note: The option %L is only valid when used after seconds (%S) or seconds since the Epoch (%s), e.g:%S.%Lor%s.%L
Last modified 1h ago