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README.md

Fluent plugin for Amazon Kinesis

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Fluentd output plugin that sends events to Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose. Also it supports KPL Aggregated Record Format. This gem includes three output plugins respectively:

  • kinesis_streams
  • kinesis_firehose
  • kinesis_streams_aggregated

Also, there is a documentation on Fluentd official site.

Note: This README is for v3. Plugin v3 is almost compatible with v2. If you use v1, see the old README.

Installation

This Fluentd plugin is available as the fluent-plugin-kinesis gem from RubyGems.

gem install fluent-plugin-kinesis

Or you can install this plugin for td-agent as:

td-agent-gem install fluent-plugin-kinesis

If you would like to build by yourself and install, see the section below. Your need bundler for this.

In case of using with Fluentd: Fluentd will be also installed via the process below.

git clone https://github.com/awslabs/aws-fluent-plugin-kinesis.git
cd aws-fluent-plugin-kinesis
bundle install
bundle exec rake build
bundle exec rake install

Also, you can use this plugin with td-agent: You have to install td-agent before installing this plugin.

git clone https://github.com/awslabs/aws-fluent-plugin-kinesis.git
cd aws-fluent-plugin-kinesis
bundle install
bundle exec rake build
fluent-gem install pkg/fluent-plugin-kinesis

Or just download specify your Ruby library path. Below is the sample for specifying your library path via RUBYLIB.

git clone https://github.com/awslabs/aws-fluent-plugin-kinesis.git
cd aws-fluent-plugin-kinesis
bundle install
export RUBYLIB=$RUBYLIB:/path/to/aws-fluent-plugin-kinesis/lib

Dependencies

  • Ruby 2.3.0+
  • Fluentd 0.14.22+ (td-agent v3.1.0+)

Basic Usage

Here are general procedures for using this plugin:

  1. Install.
  2. Edit configuration
  3. Run Fluentd or td-agent

You can run this plugin with Fluentd as follows:

  1. Install.
  2. Edit configuration file and save it as 'fluentd.conf'.
  3. Then, run fluentd -c /path/to/fluentd.conf

To run with td-agent, it would be as follows:

  1. Install.
  2. Edit configuration file provided by td-agent.
  3. Then, run or restart td-agent.

Getting started

Assume you use Amazon EC2 instances with Instance profile. If you want to use specific credentials, see Credentials.

kinesis_streams

<match your_tag>
  @type kinesis_streams
  region us-east-1
  stream_name your_stream
  partition_key key  # Otherwise, use random partition key
</match>

For more details, see Configuration: kinesis_streams.

kinesis_firehose

<match your_tag>
  @type kinesis_firehose
  region us-east-1
  delivery_stream_name your_stream
</match>

For more details, see Configuration: kinesis_firehose.

kinesis_streams_aggregated

<match your_tag>
  @type kinesis_streams_aggregated
  region us-east-1
  stream_name your_stream
  # Unlike kinesis_streams, there is no way to use dynamic partition key.
  # fixed_partition_key or random.
</match>

For more details, see Configuration: kinesis_streams_aggregated.

For better throughput

Add configurations like below:

  flush_interval 1
  chunk_limit_size 1m
  flush_thread_interval 0.1
  flush_thread_burst_interval 0.01
  flush_thread_count 15

When you use Fluent v1.0 (td-agent3), write these configurations in buffer section. For more details, see Config: Buffer Section.

Note: Each value should be adjusted to your system by yourself.

Configuration: Credentials

To put records into Amazon Kinesis Data Streams or Firehose, you need to provide AWS security credentials somehow. Without specifying credentials in config file, this plugin automatically fetch credential just following AWS SDK for Ruby does (environment variable, shared profile, and instance profile).

This plugin uses the same configuration in fluent-plugin-s3, but also supports aws session tokens for temporary credentials.

aws_key_id

AWS access key id. This parameter is required when your agent is not running on EC2 instance with an IAM Role. When using an IAM role, make sure to configure instance_profile_credentials. Usage can be found below.

aws_sec_key

AWS secret key. This parameter is required when your agent is not running on EC2 instance with an IAM Role.

aws_ses_token

AWS session token. This parameter is optional, but can be provided if using MFA or temporary credentials when your agent is not running on EC2 instance with an IAM Role.

aws_iam_retries

The number of attempts to make (with exponential backoff) when loading instance profile credentials from the EC2 metadata service using an IAM role. Defaults to 5 retries.

assume_role_credentials

Typically, you can use AssumeRole for cross-account access or federation.

<match *>
  @type kinesis_streams

  <assume_role_credentials>
    role_arn          ROLE_ARN
    role_session_name ROLE_SESSION_NAME
  </assume_role_credentials>
</match>

See also:

role_arn (required)

The Amazon Resource Name (ARN) of the role to assume.

role_session_name (required)

An identifier for the assumed role session.

policy

An IAM policy in JSON format.

duration_seconds

The duration, in seconds, of the role session. The value can range from 900 seconds (15 minutes) to 3600 seconds (1 hour). By default, the value is set to 3600 seconds.

external_id

A unique identifier that is used by third parties when assuming roles in their customers' accounts.

sts_http_proxy

Proxy url for proxying requests to amazon sts service api. This needs to be set up independently from global http_proxy parameter for the use case in which requests to kinesis api are going via kinesis vpc endpoint but requests to sts api have to go via http proxy. It should be added to assume_role_credentials configuration stanza in the next format: sts_http_proxy http://[username:password]@hostname:port

sts_endpoint_url

STS API endpoint url. This can be used to override the default global STS API endpoint of sts.amazonaws.com. Using regional endpoints may be preferred to reduce latency, and are required if utilizing a PrivateLink VPC Endpoint for STS API calls.

instance_profile_credentials

Retrieve temporary security credentials via HTTP request. This is useful on EC2 instance.

<match *>
  @type kinesis_streams

  <instance_profile_credentials>
    ip_address IP_ADDRESS
    port       PORT
  </instance_profile_credentials>
</match>

See also:

retries

Number of times to retry when retrieving credentials. Default is 5.

ip_address

Default is 169.254.169.254.

port

Default is 80.

http_open_timeout

Default is 5.

http_read_timeout

Default is 5.

shared_credentials

This loads AWS access credentials from local ini file. This is useful for local developing.

<match *>
  @type kinesis_streams

  <shared_credentials>
    path         PATH
    profile_name PROFILE_NAME
  </shared_credentials>
</match>

See also:

path

Path to the shared file. Defaults to "#{Dir.home}/.aws/credentials".

profile_name

Defaults to 'default' or [ENV]('AWS_PROFILE').

process_credentials

This loads AWS access credentials from an external process.

<match *>
  @type kinesis_streams

  <process_credentials>
    process CMD
  </process_credentials>
</match>

See also:

process (required)

Command to be executed as an external process.

Configuration: Format

format (section)

This plugin uses Fluent::TextFormatter to serialize record to string. See formatter.rb for more details. By default, it uses json formatter same as specific like below:

<match *>
  @type kinesis_streams

  <format>
    @type json
  </format>
</match>

For other configurations of json formatter, see json formatter plugin.

inject (section)

This plugin uses Fluent::TimeFormatter and other injection configurations. See inject.rb for more details.

For example, the config below will add time field whose value is event time with nanosecond and tag field whose value is its tag.

<match *>
  @type kinesis_streams

  <inject>
    time_key time
    tag_key tag
  </inject>
</match>

By default, time_type string and time_format %Y-%m-%dT%H:%M:%S.%N%z are already set to be applicable to Elasticsearch sub-second format. Although, you can use any configuration.

Also, there are some format related options below:

data_key

If your record contains a field whose string should be sent to Amazon Kinesis directly (without formatter), use this parameter to specify the field. In that case, other fields than data_key are thrown away and never sent to Amazon Kinesis. Default nil, which means whole record will be formatted and sent.

compression

Specifing compression way for data of each record. Current accepted options are zlib. Otherwise, no compression will be preformed.

log_truncate_max_size

Integer, default 1024. When emitting the log entry, the message will be truncated by this size to avoid infinite loop when the log is also sent to Kinesis. The value 0 means no truncation.

chomp_record

Boolean. Default false. If it is enabled, the plugin calls chomp and removes separator from the end of each record. This option is for compatible format with plugin v2. See #142 for more details.
When you use kinesis_firehose output, append_new_line option is true as default. If append_new_line is enabled, the plugin calls chomp as chomp_record is true before appending \n to each record. Therefore, you don't need to enable chomp_record option when you use kinesis_firehose with default configuration. If you want to set append_new_line false, you can choose chomp_record false (default) or true (compatible format with plugin v2).

Configuration: API

region

AWS region of your stream. It should be in form like us-east-1, us-west-2. Refer to Regions and Endpoints in AWS General Reference for supported regions.

Default nil, which means try to find from environment variable AWS_REGION.

max_record_size

The upper limit of size of each record. Default is 1 MB which is the limitation of Kinesis.

http_proxy

HTTP proxy for API calling. Default nil.

endpoint

API endpoint URL, for testing. Default nil.

ssl_verify_peer

Boolean. Disable if you want to verify ssl connection, for testing. Default true.

debug

Boolean. Enable if you need to debug Amazon Kinesis Data Firehose API call. Default is false.

Configuration: Batch request

retries_on_batch_request

Integer, default is 8. The plugin will put multiple records to Amazon Kinesis Data Streams in batches using PutRecords. A set of records in a batch may fail for reasons documented in the Kinesis Service API Reference for PutRecords. Failed records will be retried retries_on_batch_request times. If a record fails all retries an error log will be emitted.

reset_backoff_if_success

Boolean, default true. If enabled, when after retrying, the next retrying checks the number of succeeded records on the former batch request and reset exponential backoff if there is any success. Because batch request could be composed by requests across shards, simple exponential backoff for the batch request wouldn't work some cases.

batch_request_max_count

Integer, default 500. The number of max count of making batch request from record chunk. It can't exceed the default value because it's API limit.

Default:

  • kinesis_streams: 500
  • kinesis_firehose: 500
  • kinesis_streams_aggregated: 100,000

batch_request_max_size

Integer. The number of max size of making batch request from record chunk. It can't exceed the default value because it's API limit.

Default:

  • kinesis_streams: 5 MB
  • kinesis_firehose: 4 MB
  • kinesis_streams_aggregated: 1 MB

Configuration: kinesis_streams

Here are kinesis_streams specific configurations.

stream_name

Name of the stream to put data.

As of Fluentd v1, built-in placeholders are supported. Now, you can also use built-in placeholders for this parameter.

NOTE: Built-in placeholders require target key information in your buffer section attributes.

e.g.)

When you specify the following stream_name configuration with built-in placeholder:

stream_name "${$.kubernetes.annotations.kinesis_streams}"

you ought to specify the corresponding attributes in buffer section:

# $.kubernetes.annotations.kinesis_streams needs to be set in buffer attributes
<buffer $.kubernetes.annotations.kinesis_streams>
   # ...
</buffer>

For more details, refer Placeholders section in the official Fluentd document.

partition_key

A key to extract partition key from JSON object. Default nil, which means partition key will be generated randomly.

Configuration: kinesis_firehose

Here are kinesis_firehose specific configurations.

delivery_stream_name

Name of the delivery stream to put data.

As of Fluentd v1, built-in placeholders are supported. Now, you can also use built-in placeholders for this parameter.

NOTE: Built-in placeholders require target key information in your buffer section attributes.

e.g.)

When you specify the following delivery_stream_name configuration with built-in placeholder:

delivery_stream_name "${$.kubernetes.annotations.kinesis_firehose_streams}"

you ought to specify the corresponding attributes in buffer section:

# $.kubernetes.annotations.kinesis_firehose_streams needs to be set in buffer attributes
<buffer $.kubernetes.annotations.kinesis_firehose_streams>
   # ...
</buffer>

For more details, refer Placeholders section in the official Fluentd document.

append_new_line

Boolean. Default true. If it is enabled, the plugin adds new line character (\n) to each serialized record.
Before appending \n, plugin calls chomp and removes separator from the end of each record as chomp_record is true. Therefore, you don't need to enable chomp_record option when you use kinesis_firehose output with default configuration (append_new_line is true). If you want to set append_new_line false, you can choose chomp_record false (default) or true (compatible format with plugin v2).

Configuration: kinesis_streams_aggregated

Here are kinesis_streams_aggregated specific configurations.

stream_name

Name of the stream to put data.

As of Fluentd v1, built-in placeholders are supported. Now, you can also use built-in placeholders for this parameter.

NOTE: Built-in placeholders require target key information in your buffer section attributes.

e.g.)

When you specify the following stream_name configuration with built-in placeholder:

stream_name "${$.kubernetes.annotations.kinesis_streams_aggregated}"

you ought to specify the corresponding attributes in buffer section:

# $.kubernetes.annotations.kinesis_streams_aggregated needs to be set in buffer attributes
<buffer $.kubernetes.annotations.kinesis_streams_aggregated>
   # ...
</buffer>

For more details, refer Placeholders section in the official Fluentd document.

fixed_partition_key

A value of fixed partition key. Default nil, which means partition key will be generated randomly.

Note: if you specified this option, all records go to a single shard.

Development

To launch fluentd process with this plugin for development, follow the steps below:

git clone https://github.com/awslabs/aws-fluent-plugin-kinesis.git
cd aws-fluent-plugin-kinesis
make # will install gems dependency
bundle exec fluentd -c /path/to/fluent.conf

To launch using specified version of Fluentd, use BUNDLE_GEMFILE environment variable:

BUNDLE_GEMFILE=$PWD/gemfiles/Gemfile.td-agent-3.3.0 bundle exec fluentd -c /path/to/fluent.conf

Contributing

Bug reports and pull requests are welcome on GitHub.

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