# Fluent::Plugin::Elasticsearch, a plugin for [Fluentd](http://fluentd.org) [![Gem Version](https://badge.fury.io/rb/fluent-plugin-elasticsearch.png)](http://badge.fury.io/rb/fluent-plugin-elasticsearch) [![Dependency Status](https://gemnasium.com/uken/guard-sidekiq.png)](https://gemnasium.com/uken/fluent-plugin-elasticsearch) [![Build Status](https://travis-ci.org/uken/fluent-plugin-elasticsearch.png?branch=master)](https://travis-ci.org/uken/fluent-plugin-elasticsearch) [![Coverage Status](https://coveralls.io/repos/uken/fluent-plugin-elasticsearch/badge.png)](https://coveralls.io/r/uken/fluent-plugin-elasticsearch) [![Code Climate](https://codeclimate.com/github/uken/fluent-plugin-elasticsearch.png)](https://codeclimate.com/github/uken/fluent-plugin-elasticsearch) 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)](http://curl.haxx.se/libcurl/) 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 ``` **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](http://kibana.org/). ``` 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. --- ``` 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: ``` type elasticsearch include_tag_key true tag_key _key ``` 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](https://github.com/tagomoris/fluent-plugin-forest) to send multiple logs to multiple ElasticSearch indices: ``` type forest subtype elasticsearch remove_prefix my.logs ``` ## 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](https://github.com/uken/fluent-plugin-elasticsearch/issues).