HBase output plugin for Fluent event collector¶ ↑

Overview¶ ↑

HBase output plugin buffers event logs in local file and puts it to HBase periodically.

Installation¶ ↑

Simply use RubyGems:

gem install fluent-plugin-hbase

Configuration¶ ↑

<match pattern>
  type hbase

  include_time_key TRUE_OR_FALSE
  time_key KEY_IN_RECORD
  include_tag_key TRUE_OR_FALSE
  tag_key KEY_IN_RECORD
  fields_to_columns_mapping MAPPING_FROM_JSON_FIELDS_TO_HBASE_COLUMNS
  hbase_host YOUR_HBASE_HOST
  hbase_port YOUR_HBASE_PORT
  hbase_table YOUR_HBASE_TABLE_NAME

  # DEPRECATED
  # The below configuration keys are deprecated to
  # stay along with fluentd's well-known configuration keys.
  # Instead, use:
  # - include_time_key
  # - time_key
  # - include_tag_key
  # - tag_key
  # - fields_to_columns_mapping
  tag_column_name HBASE_COLUMN
  time_column_name HBASE_COLUMN
</match>

include_time_key (optional): If you need to write each event’s time to HBase, set this true

and add a mapping from the ‘time_key’ to HBase column to the ‘fields_to_columns_mapping’ configuration.

The default is false.

time_key (optional): The key where each event’s time is kept for mapping to a HBase column.

You MUST add a mapping from the key configured here to a HBase column, to actually write times to HBase.

The default is “time”.

include_tag_key (optional): If you need to write each event’s tag to HBase, set this true

and add a mapping from the ‘tag_key’ to HBase column to the ‘fields_to_columns_mapping’ configuration.

The default is false.

tag_key (optional): The key where each event’s tag is kept for mapping to a HBase column.

You MUST add a mapping from the key configured here to a HBase column, to actually write tags to HBase.

The default is “tag”.

tag_column_name (deprecated): The HBase column to save the tag attached to each Fleuntd event log,

in the format “[Column family name]:[Column name]”. For example, to save tags to the column “c” in the column family “cf”, use “cf:c”.

time_column_name (deprecated): The HBase column to save the time each Fluentd event log was sent,

in the format “[Column family name]:[Colum name]”. For example, to save the time to the column “t” in the column family “cf”, use “cf:t”.

fields_to_columns_mapping (required): The mapping from JSON fields to HBase columns,

in the format “[JSON_FIELD1]=>,[JSON_FIELD2]=>,…”.

Each JSON_FIELD is formatted as field names separated by dot(.)s, e.g. “a.b.c”. Each HBASE_COLUMN is formatted as a tripled of a column family name, a colon(:), a column name, e.g. “cf:c”.

hbase_host (required): HBase host
hbase_port (required): HBase port
hbase_table (required): HBase table name

See example/fluent.conf for the configuration should work.

You can also test the configuration running a fluentd instance:

fluentd -c example/fluent.conf --plugin lib/fluent/plugin

Prerequiresites¶ ↑

You must setup your own Hadoop and HBase clusters and open appropriate ports to enable the plugin to access HBase via HBase Thrift Server.

The plugin is tested solely on the system with:

Hadoop 1.0.4
HBase 0.94.0
Java 1.6.0_37
Mac OS X 10.8 Mountain Lion

for now.

Please let me know if you find the plugin to work in any other environments.

Running¶ ↑

To make the plugin work, you need running instances of:

Hadoop
HBase
HBase Thrift Server w/ the compact (buffered) protocol (not the framed protocol)

The procedure may be:

Start Hadoop

$ start-all.sh

Start HBase

$ start-hbase.sh

Start HBase Thrift Server with the compact protocol

Use the thread pool server as it is the only server supports the compact protocol:

$ hbase thrift start -threadpool

Run Fluentd

Copyright¶ ↑

License: Apache License, Version 2.0