Amazon Kinesis Client Library for Ruby
This package provides an interface to the Amazon Kinesis Client Library's (KCL) MultiLangDaemon for the Ruby language. Developers can use the Amazon KCL to build distributed applications that process streaming data reliably at scale. The Amazon KCL takes care of many of the complex tasks associated with distributed computing, such as load-balancing across multiple instances, responding to instance failures, checkpointing processed records, and reacting to changes in stream volume. This package wraps and manages the interaction with the MultiLangDaemon which is part of the Amazon KCL for Java so that developers can focus on implementing their record processor executable. A record processor in Ruby typically looks something like:
#! /usr/bin/env ruby require 'aws/kclrb' class SampleRecordProcessor < :::: def init_processor(shard_id) # initialize end def process_records(records, checkpointer) # process batch of records end def shutdown(checkpointer, reason) # cleanup end end if __FILE__ == $0 # Start the main processing loop record_processor = SampleRecordProcessor.new driver = ::::.(record_processor) driver.run end
Before You Get Started
Before running the samples, you'll want to make sure that your environment is configured to allow the samples to use your AWS Security Credentials.
By default the samples use the DefaultAWSCredentialsProviderChain
so you'll want to make your credentials available to one of the credentials providers in that
provider chain. There are several ways to do this such as providing a
or if you're running on Amazon EC2, you can associate an IAM role with your instance with appropriate
Running the Sample
Using the Amazon KCL for Ruby package requires the MultiLangDaemon which is provided by the Amazon KCL for Java. Rake tasks are provided to start the sample application(s) and download all the required dependencies.
The sample application consists of two components:
- A data producer (
samples/sample_kcl_producer.rb): this script creates an Amazon Kinesis stream and starts putting random records into it.
- A data processor (
samples/sample_kcl.rb): this script is invoked by the MultiLangDaemon and consumes the data from the Amazon Kinesis stream and stores it into files (1 file per shard).
The following defaults are used in the sample application:
- Stream name:
- Number of shards: 2
- Amazon KCL application name:
- Amazon DynamoDB table for Amazon KCL application:
- Sample application output directory:
Running the Data Producer
To run the data producer, run the following commands:
cd samples rake run_producer
The AWS Ruby SDK gem needs to be installed as a pre-requisite. To install, run:
sudo gem install aws-sdk
samples/sample_kcl_producer.rbtakes several parameters that you can use to customize its behavior. To see the available options, run:
Running the Data Processor
To run the data processor, run the following commands:
cd samples rake run
JAVA_HOMEenvironment variable needs to point to a valid JVM.
The rake task invokes the MultiLangDaemon passing to it the properties file
samples/sample.properties. This file contains the information needed to bootstrap the sample application, e.g.
executableName = samples/sample_kcl.rb
streamName = kclrbsample
applicationName = RubyKCLSample
This sample application creates a real Amazon Kinesis stream and sends real data to it, and create a real DynamoDB table to track the Amazon KCL application state, thus potentially incurring AWS costs. Once done, you can log in to AWS management console and delete these resources. Specifically, the sample application will create in your default AWS region
- an Amazon Kinesis stream named
- an Amazon DynamoDB table named
Running on Amazon EC2
Running on Amazon EC2 is simple. Assuming you are already logged into an Amazon EC2
instance running Amazon Linux, the following steps will prepare your environment
for running the sample application. Note the version of Java that ships with
Amazon Linux can be found at
/usr/bin/java and should be 1.7 or greater.
# install some prerequisites if missing sudo yum install gcc patch git ruby rake rubygems ruby-devel # install the AWS Ruby SDK (pre-requisuite for producer) sudo gem install aws-sdk aws-kclrb # clone the git repository to work with the samples git clone https://github.com/awslabs/amazon-kinesis-client-ruby.git kclrb # run the sample cd kclrb/samples rake run_producer # ... and in another terminal rake run
Under the Hood - What You Should Know about Amazon KCL's MultiLangDaemon
Amazon KCL for Ruby uses Amazon KCL for Java internally. We have implemented a Java-based daemon, called the MultiLangDaemon that does all the heavy lifting. Our approach has the daemon spawn the user-defined record processor script/program as a sub-process. The MultiLangDaemon communicates with this sub-process over standard input/output using a simple protocol, and therefore the record processor script/program can be written in any language.
At runtime, there will always be a one-to-one correspondence between a record processor, a child process, and an Amazon Kinesis Shard. The MultiLangDaemon will make sure of that, without any need for the developer to intervene.
In this release, we have abstracted these implementation details away and exposed an interface that enables you to focus on writing record processing logic in Ruby. This approach enables Amazon KCL to be language agnostic, while providing identical features and similar parallel processing model across all languages.
- Developing Consumer Applications for Amazon Kinesis Using the Amazon Kinesis Client Library
- The Amazon KCL for Java
- The Amazon KCL for Python
- The Amazon Kinesis Documentation
- The Amazon Kinesis Forum
Release 1.0.0 (December 30, 2014)
- aws-kclrb gem which exposes an interface to allow implementation of record processors in Ruby using the Amazon KCL's MultiLangDaemon
- samples directory contains a sample producer and processing applications using the Amazon KCL for Ruby library.