Deprecated : This plugin had been merged to fluent-plugin-mysql. This plugin is not maintained anymore!!!!!

fluent-plugin-mysql-bulk, a plugin for Fluentd

fluent plugin mysql bulk insert is high performance and on duplicate key update respond.

Installation

td-agent(Linux)

/usr/lib64/fluent/ruby/bin/fluent-gem install fluent-plugin-mysql-bulk

td-agent(Mac)

sudo /usr/local/Cellar/td-agent/1.1.XX/bin/fluent-gem install fluent-plugin-mysql-bulk

fluentd only

gem install fluent-plugin-mysql-bulk

Parameters

param	value
host	database host(default: 127.0.0.1)
database	database name(require)
username	user(require)
password	password(default: blank)
column_names	bulk insert column (require)
key_names	value key names, ${time} is placeholder Time.at(time).strftime("%Y-%m-%d %H:%M:%S") (default : column_names)
table	bulk insert table (require)
on_duplicate_key_update	on duplicate key update enable (true:false)
on_duplicate_update_keys	on duplicate key update column, comma separator

Configuration Example(bulk insert)

<match mysql.input>
  type mysql_bulk
  host localhost
  database test_app_development
  username root
  password hogehoge
  column_names id,user_name,created_at,updated_at
  table users
  flush_interval 10s
</match>

Assume following input is coming:

mysql.input: {"user_name":"toyama","created_at":"2014/01/03 21:35:15","updated_at":"2014/01/03 21:35:15","dummy":"hogehoge"}
mysql.input: {"user_name":"toyama2","created_at":"2014/01/03 21:35:21","updated_at":"2014/01/03 21:35:21","dummy":"hogehoge"}
mysql.input: {"user_name":"toyama3","created_at":"2014/01/03 21:35:27","updated_at":"2014/01/03 21:35:27","dummy":"hogehoge"}

then result becomes as below (indented):

+-----+-----------+---------------------+---------------------+
| id  | user_name | created_at          | updated_at          |
+-----+-----------+---------------------+---------------------+
| 1   | toyama    | 2014-01-03 21:35:15 | 2014-01-03 21:35:15 |
| 2   | toyama2   | 2014-01-03 21:35:21 | 2014-01-03 21:35:21 |
| 3   | toyama3   | 2014-01-03 21:35:27 | 2014-01-03 21:35:27 |
+-----+-----------+---------------------+---------------------+

running query

INSERT INTO users (id,user_name,created_at,updated_at) VALUES (NULL,'toyama','2014/01/03 21:35:15','2014/01/03 21:35:15'),(NULL,'toyama2','2014/01/03 21:35:21','2014/01/03 21:35:21')

Configuration Example(bulk insert , if duplicate error record update)

<match mysql.input>
  type mysql_bulk
  host localhost
  database test_app_development
  username root
  password hogehoge
  column_names id,user_name,created_at,updated_at
  table users
  on_duplicate_key_update true
  on_duplicate_update_keys user_name,updated_at
  flush_interval 60s
</match>

Assume following input is coming:

mysql.input: {"id":"1" ,"user_name":"toyama7","created_at":"2014/01/03 21:58:03","updated_at":"2014/01/03 21:58:03"}
mysql.input: {"id":"2" ,"user_name":"toyama7","created_at":"2014/01/03 21:58:06","updated_at":"2014/01/03 21:58:06"}
mysql.input: {"id":"3" ,"user_name":"toyama7","created_at":"2014/01/03 21:58:08","updated_at":"2014/01/03 21:58:08"}
mysql.input: {"id":"10","user_name":"toyama7","created_at":"2014/01/03 21:58:18","updated_at":"2014/01/03 21:58:18"}

then result becomes as below (indented):

+-----+-----------+---------------------+---------------------+
| id  | user_name | created_at          | updated_at          |
+-----+-----------+---------------------+---------------------+
|   1 | toyama7   | 2014-01-03 21:35:15 | 2014-01-03 21:58:03 |
|   2 | toyama7   | 2014-01-03 21:35:21 | 2014-01-03 21:58:06 |
|   3 | toyama7   | 2014-01-03 21:35:27 | 2014-01-03 21:58:08 |
|  10 | toyama7   | 2014-01-03 21:58:18 | 2014-01-03 21:58:18 |
+-----+-----------+---------------------+---------------------+

if duplicate id , update username and updated_at

Configuration Example(bulk insert,fluentd key different column name)

<match mysql.input>
  type mysql_bulk
  host localhost
  database test_app_development
  username root
  password hogehoge
  column_names id,user_name,created_at,updated_at
  key_names id,user,created_date,updated_date
  table users
  flush_interval 10s
</match>

Assume following input is coming:

mysql.input: {"user":"toyama","created_date":"2014/01/03 21:35:15","updated_date":"2014/01/03 21:35:15","dummy":"hogehoge"}
mysql.input: {"user":"toyama2","created_date":"2014/01/03 21:35:21","updated_date":"2014/01/03 21:35:21","dummy":"hogehoge"}
mysql.input: {"user":"toyama3","created_date":"2014/01/03 21:35:27","updated_date":"2014/01/03 21:35:27","dummy":"hogehoge"}

then result becomes as below (indented):

+-----+-----------+---------------------+---------------------+
| id  | user_name | created_at          | updated_at          |
+-----+-----------+---------------------+---------------------+
| 1   | toyama    | 2014-01-03 21:35:15 | 2014-01-03 21:35:15 |
| 2   | toyama2   | 2014-01-03 21:35:21 | 2014-01-03 21:35:21 |
| 3   | toyama3   | 2014-01-03 21:35:27 | 2014-01-03 21:35:27 |
+-----+-----------+---------------------+---------------------+

spec

bundle install
rake test

todo

divide bulk insert(exsample 1000 per)

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

Copyright

Copyright (c) 2013 Hiroshi Toyama. See LICENSE for details.