# Provides an expressive, object-oriented interface to Amazon Elastic

# MapReduce.

#

# To use Amazon Elastic MapReduce you must first

# [sign up here](http://aws.amazon.com/elasticmapreduce/)

#

# For more information about Amazon Elastic MapReduce, see:

#

# * [Amazon Elastic MapReduce](http://aws.amazon.com/elasticmapreduce/)

# * [Amazon Elastic MapReduce Documentation](http://aws.amazon.com/documentation/elasticmapreduce/)

#

# ## Credentials

#

# You can setup default credentials for all AWS services via

# AWS.config:

#

# AWS.config(

# :access_key_id => 'YOUR_ACCESS_KEY_ID',

# :secret_access_key => 'YOUR_SECRET_ACCESS_KEY')

#

# Or you can set them directly on the EMR interface:

#

# emr = AWS::EMR.new(

# :access_key_id => 'YOUR_ACCESS_KEY_ID',

# :secret_access_key => 'YOUR_SECRET_ACCESS_KEY')

#

# # Job Flows

#

# The {#job_flows} method returns a collection you use to interact

# with your job flows.

#

# emr = AWS::EMR.new

#

# # creating a job flow

# job_flow = emr.job_flows.create(...)

#

# # enumerating job flows

# emr.job_flows.each do |job_flow|

# puts job_flow.id

# end

#

# See {JobFlowCollection} and {JobFlow} for more information on working

# with job flows.

#

# @!attribute [r] client

# @return [Client] the low-level EMR client object

class EMR

autoload :Client, 'aws/emr/client'

autoload :Errors, 'aws/emr/errors'

autoload :InstanceGroup, 'aws/emr/instance_group'

autoload :InstanceGroupCollection, 'aws/emr/instance_group_collection'

autoload :JobFlow, 'aws/emr/job_flow'

autoload :JobFlowCollection, 'aws/emr/job_flow_collection'

include Core::ServiceInterface

endpoint_prefix 'elasticmapreduce'

# @return [JobFlowCollection] Returns a collection that represents all

# job flows.

def job_flows

JobFlowCollection.new(:config => config)

end

alias_method :jobs, :job_flows

end