Contents

#
# Elastic MapReduce config in wukong
#

#
# Infrastructure options
#

# == Fill all your information into yet another file with your amazon key
:emr_credentials_file:          ~/.wukong/credentials.json
#
# == Use the credentials file, set the AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY env vars, or enter them here:
# :access_key:                  ASDFAHKHASDF
# :secret_access_key:           ADSGHASDFJASDFASDF
#
# == Path to your keypair file
# :key_pair_file:               ~/.wukong/keypairs/gibbon.pem
# == Keypair will be named after your file, or force the name:
# :key_pair:                    ~

# == Path to the Amazon elastic-mapreduce runner. Get a copy from
#    http://elasticmapreduce.s3.amazonaws.com/elastic-mapreduce-ruby.zip
:emr_runner:                    ~/ics/hadoop/elastic-mapreduce/elastic-mapreduce

#
# Cluster Config
#
:num_instances:                 1
:instance_type:                 m2.xlarge
:master_instance_type:          ~
:hadoop_version:                '0.20'
# :availability_zone:           us-east-1b

#
# Running and reporting options
#
:alive:                         true
:enable_debugging:              true
:emr_runner_verbose:            true
:emr_runner_debug:              ~
:step_action:                   CANCEL_AND_WAIT         # CANCEL_AND_WAIT, TERMINATE_JOB_FLOW or CONTINUE

#
# Remote Paths
#
:emr_root:                      s3n://emr.infinitemonkeys.info

Version data entries

1 entries across 1 versions & 1 rubygems

Version	Path
wukong-3.0.0.pre	old/config/emr-example.yaml