Filter Plugins

Fluentd has nine (9) types of plugins:

This article gives an overview of the Filter Plugin.

Overview

Filter plugins enable Fluentd to modify event streams. Some use cases are:

  1. Filtering out events by grepping the value of one or more fields.

  2. Enriching events by adding new fields.

  3. Deleting or masking certain fields for privacy and compliance.

How To Use

It is used with the <filter> directive:

<filter foo.bar>
  @type grep
  regexp1 message cool
</filter>

The above directive matches events with the tag foo.bar, and if the message field's value contains cool, the events go through the rest of the configuration.

Like the <match> directive for output plugins, <filter> matches against a tag. Once the event is processed by the filter, the event proceeds through the configuration top-down. Hence, if there are multiple filters for the same tag, they are applied in descending order. Hence, in the following example:

<filter foo.bar>
  @type grep
  regexp1 message cool
</filter>

<filter foo.bar>
  @type record_transformer
  <record>
    hostname "#{Socket.gethostname}"
  </record>
</filter>

Only the events whose message field contain cool get the new field hostname with the machine's hostname as its value.

Users can create their own custom plugins with a bit of Ruby. See this section for more information.

Filter Chain Optimization

If you have multiple filters in the pipeline, fluentd tries to optimize filter calls to improve the performance. The condition for optimization is that all plugins in the pipeline use the filter method. If the plugin which uses filter_stream exists, chain optimization is disabled.

If you see the following message in the log, the optimization is disabled:

disable filter chain optimization because [Fluent::Plugin::XXXFilter] uses `#filter_stream` method

This is not a critical log message and you can ignore it.

List of Filter Plugins

If this article is incorrect or outdated, or omits critical information, please let us know. Fluentd is an open-source project under Cloud Native Computing Foundation (CNCF). All components are available under the Apache 2 License.

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