Grep

Select or exclude records per patterns

The Grep Filter plugin allows you to match or exclude specific records based on regular expression patterns for values or nested values.

Configuration Parameters

The plugin supports the following configuration parameters:

Key

Value Format

Description

Regex

KEY REGEX

Keep records in which the content of KEY matches the regular expression.

Exclude

KEY REGEX

Exclude records in which the content of KEY matches the regular expression.

Logical_Op

Operation

Specify which logical operator to use. AND , OR and legacy are allowed as an Operation. Default is legacy for backward compatibility. In legacy mode the behaviour is either AND or OR depending whether the grep is including (uses AND) or excluding (uses OR). Only available from 2.1+.

Record Accessor Enabled

This plugin enables the Record Accessor feature to specify the KEY. Using the record accessor is suggested if you want to match values against nested values.

Getting Started

In order to start filtering records, you can run the filter from the command line or through the configuration file. The following example assumes that you have a file called lines.txt with the following content:

{"log": "aaa"}
{"log": "aab"}
{"log": "bbb"}
{"log": "ccc"}
{"log": "ddd"}
{"log": "eee"}
{"log": "fff"}
{"log": "ggg"}

Command Line

Note: using the command line mode need special attention to quote the regular expressions properly. It's suggested to use a configuration file.

The following command will load the tail plugin and read the content of lines.txt file. Then the grep filter will apply a regular expression rule over the log field (created by tail plugin) and only pass the records which field value starts with aa:

$ bin/fluent-bit -i tail -p 'path=lines.txt' -F grep -p 'regex=log aa' -m '*' -o stdout

Configuration File

[SERVICE]
    parsers_file /path/to/parsers.conf

[INPUT]
    name   tail
    path   lines.txt
    parser json

[FILTER]
    name   grep
    match  *
    regex  log aa

[OUTPUT]
    name   stdout
    match  *

service:
    parsers_file: /path/to/parsers.conf
pipeline:
    inputs:
        - name: tail
          path: lines.txt
          parser: json
    filters:
        - name: grep
          match: '*'
          regex: log aa
    outputs:
        - name: stdout
          match: '*'

The filter allows to use multiple rules which are applied in order, you can have many Regex and Exclude entries as required.

Nested fields example

If you want to match or exclude records based on nested values, you can use a Record Accessor format as the KEY name. Consider the following record example:

{
    "log": "something",
    "kubernetes": {
        "pod_name": "myapp-0",
        "namespace_name": "default",
        "pod_id": "216cd7ae-1c7e-11e8-bb40-000c298df552",
        "labels": {
            "app": "myapp"
        },
        "host": "minikube",
        "container_name": "myapp",
        "docker_id": "370face382c7603fdd309d8c6aaaf434fd98b92421ce"
    }
}

if you want to exclude records that match given nested field (for example kubernetes.labels.app), you can use the following rule:

[FILTER]
    Name    grep
    Match   *
    Exclude $kubernetes['labels']['app'] myapp

    filters:
        - name: grep
          match: '*'
          exclude: $kubernetes['labels']['app'] myapp

Excluding records missing/invalid fields

It may be that in your processing pipeline you want to drop records that are missing certain keys.

A simple way to do this is just to exclude with a regex that matches anything, a missing key will fail this check.

Here is an example that checks for a specific valid value for the key as well:

# Use Grep to verify the contents of the iot_timestamp value.
# If the iot_timestamp key does not exist, this will fail
# and exclude the row.
[FILTER]
    Name                     grep
    Alias                    filter-iots-grep
    Match                    iots_thread.*
    Regex                    iot_timestamp ^\d{4}-\d{2}-\d{2}

    filters:
        - name: grep
          alias: filter-iots-grep
          match: iots_thread.*
          regex: iot_timestamp ^\d{4}-\d{2}-\d{2}

The specified key iot_timestamp must match the expected expression - if it does not or is missing/empty then it will be excluded.

Multiple conditions

If you want to set multiple Regex or Exclude, you can use Logical_Op property to use logical conjuction or disjunction.

Note: If Logical_Op is set, setting both 'Regex' and Exclude results in an error.

[INPUT]
    Name dummy
    Dummy {"endpoint":"localhost", "value":"something"}
    Tag dummy

[FILTER]
    Name grep
    Match *
    Logical_Op or
    Regex value something
    Regex value error

[OUTPUT]
    Name stdout

pipeline:
    inputs:
        - name: dummy
          dummy: '{"endpoint":"localhost", "value":"something"}'
          tag: dummy
    filters:
        - name: grep
          match: '*'
          logical_op: or
          regex:
            - value something
            - value error
    outputs:
        - name: stdout

Output will be

Fluent Bit v2.0.9
* Copyright (C) 2015-2022 The Fluent Bit Authors
* Fluent Bit is a CNCF sub-project under the umbrella of Fluentd
* https://fluentbit.io

[2023/01/22 09:46:49] [ info] [fluent bit] version=2.0.9, commit=16eae10786, pid=33268
[2023/01/22 09:46:49] [ info] [storage] ver=1.2.0, type=memory, sync=normal, checksum=off, max_chunks_up=128
[2023/01/22 09:46:49] [ info] [cmetrics] version=0.5.8
[2023/01/22 09:46:49] [ info] [ctraces ] version=0.2.7
[2023/01/22 09:46:49] [ info] [input:dummy:dummy.0] initializing
[2023/01/22 09:46:49] [ info] [input:dummy:dummy.0] storage_strategy='memory' (memory only)
[2023/01/22 09:46:49] [ info] [filter:grep:grep.0] OR mode
[2023/01/22 09:46:49] [ info] [sp] stream processor started
[2023/01/22 09:46:49] [ info] [output:stdout:stdout.0] worker #0 started
[0] dummy: [1674348410.558341857, {"endpoint"=>"localhost", "value"=>"something"}]
[0] dummy: [1674348411.546425499, {"endpoint"=>"localhost", "value"=>"something"}]

Last updated 9 months ago