elasticsearch

The out_elasticsearch Output plugin writes records into Elasticsearch. By default, it creates records using bulk api which performs multiple indexing operations in a single API call. This reduces overhead and can greatly increase indexing speed. This means that when you first import records using the plugin, records are not immediately pushed to Elasticsearch.

Records will be sent to Elasticsearch when the chunk_keys condition has been met. To change the output frequency, please specify the time in chunk_keys and specify timekey value in the configuration.

This document does not describe all the parameters. For details, refer to the Further Reading section.

Installation

Since out_elasticsearch has been included in the standard distribution of td-agent since v3.0.1, td-agent users do not need to install it manually.

If you have installed Fluentd without td-agent, please install this plugin using fluent-gem:

$ fluent-gem install fluent-plugin-elasticsearch

Example Configuration

Here is a simple working configuration which should serve as a good starting point for most users:

<match my.logs>
  @type elasticsearch
  host localhost
  port 9200
  logstash_format true
</match>

For more details on each option, read the section on Parameters.

Plugin Helpers

• event_emitter

• compat_parameters

Parameters

@type (required)

This option must be always elasticsearch.

host (optional)

The hostname of your Elasticsearch node (default: localhost).

port (optional)

The port number of your Elasticsearch node (default: 9200).

hosts (optional)

If you want to connect to more than one Elasticsearch nodes, specify this option in the following format:

hosts host1:port1,host2:port2,host3:port3
# or
hosts https://customhost.com:443/path,https://username:[e-mail]:443

If you use this option, the host and port options are ignored.

user, password (optional)

The login credentials to connect to the Elasticsearch node (default: nil):

user fluent
password mysecret

scheme (optional)

Specify https if your Elasticsearch endpoint supports SSL (default: http).

path (optional)

The REST API endpoint of Elasticsearch to post write requests (default: nil).

index_name (optional)

The index name to write events to (default: fluentd).

This option supports the placeholder syntax of Fluentd plugin API. For example, if you want to partition the index by tags, you can specify it like this:

index_name fluentd.${tag}

Here is a more practical example which partitions the Elasticsearch index by tags and timestamps:

index_name fluentd.${tag}.%Y%m%d

Time placeholder needs to set up tag and time in chunk_keys. Also, it needs to specify timekey for time slice of chunk:

<buffer tag, time>
  timekey 1h # chunks per hours ("3600" also available)
</buffer>

For more information about buffer options checkout the Buffer Section Configuration.

logstash_format (optional)

If true, Fluentd uses the conventional index name format logstash-%Y.%m.%d (default: false). This option supersedes the index_name option.

@log_level option

The @log_level option allows the user to set different levels of logging for each plugin.

Supported log levels: fatal, error, warn, info, debug, trace.

Please see the logging article for further details.

logstash_prefix (optional)

The logstash prefix index name to write events when logstash_format is true (default: logstash).

Miscellaneous

You can use %{} style placeholders to escape for URL encoding needed characters.

Valid configuration:

user %{demo+}
password %{@secret}

Valid configuration:

hosts https://%{j+hn}:%{passw@rd}@host1:443/elastic/,http://host2

Invalid configuration:

user demo+
password @secret

Common Output / Buffer parameters

For common output / buffer parameters, please check the following articles:

• Output Plugin Overview

• Buffer Section Configuration

Troubleshooting

Please refer to the Elasticsearch's troubleshooting section.

Further Reading

• fluent-plugin-elasticsearch

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.