The Parser Filter plugin allows for parsing fields in event records.
The plugin supports the following configuration parameters:
Key | Description | Default |
---|---|---|
Key_Name | Specify field name in record to parse. | |
Parser | Specify the parser name to interpret the field. Multiple Parser entries are allowed (one per line). | |
Preserve_Key | Keep original Key_Name field in the parsed result. If false, the field will be removed. |
False |
Reserve_Data | Keep all other original fields in the parsed result. If false, all other original fields will be removed. | False |
This is an example of parsing a record {"data":"100 0.5 true This is example"}
.
The plugin needs a parser file which defines how to parse each field.
[PARSER]
Name dummy_test
Format regex
Regex ^(?<INT>[^ ]+) (?<FLOAT>[^ ]+) (?<BOOL>[^ ]+) (?<STRING>.+)$
The path of the parser file should be written in configuration file under the [SERVICE] section.
[SERVICE]
Parsers_File /path/to/parsers.conf
[INPUT]
Name dummy
Tag dummy.data
Dummy {"data":"100 0.5 true This is example"}
[FILTER]
Name parser
Match dummy.*
Key_Name data
Parser dummy_test
[OUTPUT]
Name stdout
Match *
The output is
$ fluent-bit -c dummy.conf
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
[2017/07/06 22:33:12] [ info] [engine] started
[0] dummy.data: [1499347993.001371317, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}]
[1] dummy.data: [1499347994.001303118, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}]
[2] dummy.data: [1499347995.001296133, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}]
[3] dummy.data: [1499347996.001320284, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}]
You can see the records {"data":"100 0.5 true This is example"}
are parsed.
By default, the parser plugin only keeps the parsed fields in its output.
If you enable Reserve_Data
, all other fields are preserved:
[PARSER]
Name dummy_test
Format regex
Regex ^(?<INT>[^ ]+) (?<FLOAT>[^ ]+) (?<BOOL>[^ ]+) (?<STRING>.+)$
[SERVICE]
Parsers_File /path/to/parsers.conf
[INPUT]
Name dummy
Tag dummy.data
Dummy {"data":"100 0.5 true This is example", "key1":"value1", "key2":"value2"}
[FILTER]
Name parser
Match dummy.*
Key_Name data
Parser dummy_test
Reserve_Data On
This will produce the output:
$ fluent-bit -c dummy.conf
Fluent-Bit v0.12.0
Copyright (C) Treasure Data
[2017/07/06 22:33:12] [ info] [engine] started
[0] dummy.data: [1499347993.001371317, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}, "key1":"value1", "key2":"value2"]
[1] dummy.data: [1499347994.001303118, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}, "key1":"value1", "key2":"value2"]
[2] dummy.data: [1499347995.001296133, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}, "key1":"value1", "key2":"value2"]
[3] dummy.data: [1499347996.001320284, {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example"}, "key1":"value1", "key2":"value2"]
If you enable Reserved_Data
and Preserve_Key
, the original key field will be preserved as well:
[PARSER]
Name dummy_test
Format regex
Regex ^(?<INT>[^ ]+) (?<FLOAT>[^ ]+) (?<BOOL>[^ ]+) (?<STRING>.+)$
[SERVICE]
Parsers_File /path/to/parsers.conf
[INPUT]
Name dummy
Tag dummy.data
Dummy {"data":"100 0.5 true This is example", "key1":"value1", "key2":"value2"}
[FILTER]
Name parser
Match dummy.*
Key_Name data
Parser dummy_test
Reserve_Data On
Preserve_Key On
[OUTPUT]
Name stdout
Match *
This will produce the following output:
$ fluent-bit -c dummy.conf
Fluent Bit v2.1.1
* Copyright (C) 2015-2022 The Fluent Bit Authors
...
...
[0] dummy.data: [[1687122778.299116136, {}], {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example", "data"=>"100 0.5 true This is example", "key1"=>"value1", "key2"=>"value2"}]
[0] dummy.data: [[1687122779.296906553, {}], {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example", "data"=>"100 0.5 true This is example", "key1"=>"value1", "key2"=>"value2"}]
[0] dummy.data: [[1687122780.297475803, {}], {"INT"=>"100", "FLOAT"=>"0.5", "BOOL"=>"true", "STRING"=>"This is example", "data"=>"100 0.5 true This is example", "key1"=>"value1", "key2"=>"value2"}]