Fluent::Plugin::Elasticsearch, a plugin for Fluentd

I wrote this so you can search logs routed through Fluentd.

Installation

$ gem install fluent-plugin-elasticsearch

• prerequisite : You need to install libcurl (libcurl-devel) to work with.

Usage

In your fluentd configration, use type elasticsearch. Additional configuration is optional, default values would look like this:

host localhost
port 9200
index_name fluentd
type_name fluentd

Index templates

This plugin creates ElasticSearch indices by merely writing to them. Consider using Index Templates to gain control of what get indexed and how. See this example for a good starting point.

More options:

hosts host1:port1,host2:port2,host3:port3

You can specify multiple elasticsearch hosts with separator ",".

If you specify multiple hosts, plugin writes to elasticsearch with load balanced. (it's elasticsearch-ruby's feature, default is round-robin.)

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

logstash_format true # defaults to false

This is meant to make writing data into elasticsearch compatible to what logstash writes. By doing this, one could take advantade of kibana.

logstash_prefix mylogs # defaults to "logstash"

By default, the records inserted into index logstash-YYMMDD. This option allows to insert into specified index like mylogs-YYMMDD.

logstash_dateformat %Y.%m. # defaults to "%Y.%m.%d"

By default, when inserting records in logstash format, @timestamp is dynamically created with the time at log ingestion. If you'd like to use a custom time. Include an @timestamp with your record.

{"@timestamp":"2014-04-07T000:00:00-00:00"}

By default, the records inserted into index logstash-YYMMDD. This option allows to insert into specified index like logstash-YYYYMM for a monthly index.

utc_index true

By default, the records inserted into index logstash-YYMMDD with utc (Coordinated Universal Time). This option allows to use local time if you describe utc_index to false.

request_timeout 15s # defaults to 5s

You can specify HTTP request timeout.

This is useful when Elasticsearch cannot return response for bulk request within the default of 5 seconds.

---

include_tag_key true # defaults to false
tag_key tag # defaults to tag

This will add the fluentd tag in the json record. For instance, if you have a config like this:

<match my.logs>
  type elasticsearch
  include_tag_key true
  tag_key _key
</match>

The record inserted into elasticsearch would be

{"_key":"my.logs", "name":"Johnny Doeie"}

---

id_key request_id # use "request_id" field as a record id in ES

By default, all records inserted into elasticsearch get a random _id. This option allows to use a field in the record as an identifier.

This following record {"name":"Johnny","request_id":"87d89af7daffad6"} will trigger the following ElasticSearch command

{ "index" : { "_index" : "logstash-2013.01.01, "_type" : "fluentd", "_id" : "87d89af7daffad6" } }
{ "name": "Johnny", "request_id": "87d89af7daffad6" }

---

fluentd-plugin-elasticsearch is a buffered output that uses elasticseach's bulk API. So additional buffer configuration would be (with default values):

buffer_type memory
flush_interval 60
retry_limit 17
retry_wait 1.0
num_threads 1

---

Please consider using fluent-plugin-forest to send multiple logs to multiple ElasticSearch indices:

<match my.logs.*>
  type forest
  subtype elasticsearch
  remove_prefix my.logs
  <template>
    logstash_prefix ${tag}
    # ...
  </template>
</match>

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request

If you have a question, open an Issue.