Hey,
I have been getting contract violation error on running emr-etl-runner.
Below is the error traceback:
ReturnContractError (Contract violation for return value:
Expected: {:aws=>{:access_key_id=>String, :secret_access_key=>String, :s3=>{:region=>String, :buckets=>{:assets=>String, :jsonpath_assets=>(String or nil), :log=>String, :raw=>{:in=>(a collection Array of String), :processing=>String, :archive=>String}, :enriched=>{:good=>String, :bad=>String, :errors=>(String or nil), :archive=>(String or nil)}, :shredded=>{:good=>String, :bad=>String, :errors=>(String or nil), :archive=>(String or nil)}}}, :emr=>{:ami_version=>String, :region=>String, :jobflow_role=>String, :service_role=>String, :placement=>(String or nil), :ec2_subnet_id=>(String or nil), :ec2_key_name=>String, :bootstrap=>((a collection Array of String) or nil), :software=>{:hbase=>(String or nil), :lingual=>(String or nil)}, :jobflow=>{:master_instance_type=>String, :core_instance_count=>Num, :core_instance_type=>String, :core_instance_ebs=>#<Contracts::Maybe:0x1dadd172 @vals=[{:volume_size=>#<Proc:0x5dc120ab@uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/contracts.rb:26 (lambda)>, :volume_type=>#<Proc:0x49c4118b@uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/contracts.rb:25 (lambda)>, :volume_iops=>#<Contracts::Maybe:0x7ef7f414 @vals=[#<Proc:0x5dc120ab@uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/contracts.rb:26 (lambda)>, nil]>, :ebs_optimized=>#<Contracts::Maybe:0x4c3d72fd @vals=[Contracts::Bool, nil]>}, nil]>, :task_instance_count=>Num, :task_instance_type=>String, :task_instance_bid=>(Num or nil)}, :additional_info=>(String or nil), :bootstrap_failure_tries=>Num}}, :collectors=>{:format=>String}, :enrich=>{:job_name=>String, :versions=>{:hadoop_enrich=>String, :hadoop_shred=>String}, :continue_on_unexpected_error=>Bool, :output_compression=>#<Proc:0xabf1816@uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/contracts.rb:24 (lambda)>}, :storage=>{:download=>{:folder=>(String or nil)}}, :monitoring=>{:tags=>(Hash<Symbol, String>), :logging=>{:level=>String}, :snowplow=>({:method=>String, :collector=>String, :app_id=>String} or nil)}},
Actual: {:aws=>{:access_key_id=>"XXXXXXX", :secret_access_key=>"XXXXXX", :s3=>{:region=>"us-west-2", :buckets=>{:assets=>"s3://snowplow-hosted-assets", :jsonpath_assets=>nil, :log=>"s3://XXX", :raw=>{:in=>["s3://XXX"], :processing=>"s3://XXX", :archive=>"s3://XXX"}, :enriched=>{:good=>"s3://XXX", :bad=>"s3://XXX", :errors=>nil, :archive=>"s3://XXX"}, :shredded=>{:good=>"s3://XXX", :bad=>"s3://XXX", :errors=>nil, :archive=>"s3://XXX"}}}, :emr=>{:ami_version=>"5.5.0", :region=>"us-west-2", :jobflow_role=>"EMR_EC2_DefaultRole", :service_role=>"EMR_DefaultRole", :placement=>nil, :ec2_subnet_id=>"subnet-XXX", :ec2_key_name=>"Snowplow-EMR", :bootstrap=>[], :software=>{:hbase=>nil, :lingual=>nil}, :jobflow=>{:job_name=>"Snowplow ETL", :master_instance_type=>"m4.large", :core_instance_count=>2, :core_instance_type=>"m4.large", :core_instance_ebs=>{:volume_size=>100, :volume_type=>"gp2", :volume_iops=>400, :ebs_optimized=>false}, :task_instance_count=>0, :task_instance_type=>"m4.large", :task_instance_bid=>0.015}, :bootstrap_failure_tries=>3, :additional_info=>nil}}, :collectors=>{:format=>"cloudfront"}, :enrich=>{:versions=>{:spark_enrich=>"1.9.0"}, :continue_on_unexpected_error=>false, :output_compression=>"NONE"}, :storage=>{:versions=>{:rdb_shredder=>"0.12.0", :hadoop_elasticsearch=>"0.1.0"}, :download=>{:folder=>nil}}, :monitoring=>{:tags=>{:name=>"EMRETLRunner"}, :logging=>{:level=>"DEBUG"}}}
Value guarded in: Snowplow::EmrEtlRunner::Cli::load_config
With Contract: Maybe, String => Hash
At: uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/cli.rb:137 ):
uri:classloader:/gems/contracts-0.11.0/lib/contracts.rb:45:in `block in Contract'
uri:classloader:/gems/contracts-0.11.0/lib/contracts.rb:154:in `failure_callback'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:80:in `call_with'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138:in `block in load_config'
uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/cli.rb:108:in `process_options'
uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/cli.rb:94:in `get_args_config_enrichments_resolver'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_reference.rb:43:in `send_to'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:76:in `call_with'
uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138:in `block in get_args_config_enrichments_resolver'
uri:classloader:/emr-etl-runner/bin/snowplow-emr-etl-runner:37:in `<main>'
org/jruby/RubyKernel.java:973:in `load'
uri:classloader:/META-INF/main.rb:1:in `<main>'
org/jruby/RubyKernel.java:955:in `require'
uri:classloader:/META-INF/main.rb:1:in `(root)'
uri:classloader:/META-INF/jruby.home/lib/ruby/stdlib/rubygems/core_ext/kernel_require.rb:1:in `<main>'
Here is the config file I am using:
aws:
# Credentials can be hardcoded or set in environment variables
access_key_id: XXX
secret_access_key: XXX
s3:
region: us-west-2
buckets:
assets: s3://snowplow-hosted-assets # DO NOT CHANGE unless you are hosting the jarfiles etc yourself in your own bucket
jsonpath_assets: # If you have defined your own JSON Schemas, add the s3:// path to your own JSON Path files in your own bucket here
log: s3://XXX
raw:
in: # This is a YAML array of one or more in buckets - you MUST use hyphens before each entry in the array, as below
- s3://XXX # e.g. s3://my-old-collector-bucket
# - ADD HERE # e.g. s3://my-new-collector-bucket
processing: s3://XXX
archive: s3://XXX # e.g. s3://my-archive-bucket/raw
enriched:
good: s3://XXX # e.g. s3://my-out-bucket/enriched/good
bad: s3://XXX # e.g. s3://my-out-bucket/enriched/bad
errors: # Leave blank unless :continue_on_unexpected_error: set to true below
archive: s3://XXX # Where to archive enriched events to, e.g. s3://my-archive-bucket/enriched
shredded:
good: s3://XXX # e.g. s3://my-out-bucket/shredded/good
bad: s3://XXX # e.g. s3://my-out-bucket/shredded/bad
errors: # Leave blank unless :continue_on_unexpected_error: set to true below
archive: s3://XXX # Where to archive shredded events to, e.g. s3://my-archive-bucket/shredded
emr:
ami_version: 5.5.0
region: us-west-2 # Always set this
jobflow_role: EMR_EC2_DefaultRole # Created using $ aws emr create-default-roles
service_role: EMR_DefaultRole # Created using $ aws emr create-default-roles
placement: # Set this if not running in VPC. Leave blank otherwise
ec2_subnet_id: subnet-XXX # Set this if running in VPC. Leave blank otherwise
ec2_key_name: Snowplow-EMR
bootstrap: [] # Set this to specify custom boostrap actions. Leave empty otherwise
software:
hbase: # Optional. To launch on cluster, provide version, "0.92.0", keep quotes. Leave empty otherwise.
lingual: # Optional. To launch on cluster, provide version, "1.1", keep quotes. Leave empty otherwise.
# Adjust your Hadoop cluster below
jobflow:
job_name: Snowplow ETL # Give your job a name
master_instance_type: m4.large
core_instance_count: 2
core_instance_type: m4.large
core_instance_ebs: # Optional. Attach an EBS volume to each core instance.
volume_size: 100 # Gigabytes
volume_type: "gp2"
volume_iops: 400 # Optional. Will only be used if volume_type is "io1"
ebs_optimized: false # Optional. Will default to true
task_instance_count: 0 # Increase to use spot instances
task_instance_type: m4.large
task_instance_bid: 0.015 # In USD. Adjust bid, or leave blank for non-spot-priced (i.e. on-demand) task instances
bootstrap_failure_tries: 3 # Number of times to attempt the job in the event of bootstrap failures
additional_info: # Optional JSON string for selecting additional features
collectors:
format: cloudfront # For example: 'clj-tomcat' for the Clojure Collector, 'thrift' for Thrift records, 'tsv/com.amazon.aws.cloudfront/wd_access_log' for Cloudfront access logs or 'ndjson/urbanairship.connect/v1' for UrbanAirship Connect events
enrich:
versions:
spark_enrich: 1.9.0 # Version of the Spark Enrichment process
continue_on_unexpected_error: false # Set to 'true' (and set :out_errors: above) if you don't want any exceptions thrown from ETL
output_compression: NONE # Compression only supported with Redshift, set to NONE if you have Postgres targets. Allowed formats: NONE, GZIP
storage:
versions:
rdb_shredder: 0.12.0 # Version of the Spark Shredding process
hadoop_elasticsearch: 0.1.0 # Version of the Hadoop to Elasticsearch copying process
download:
folder: # Postgres-only config option. Where to store the downloaded files. Leave blank for Redshift
monitoring:
tags: {'name':'EMRETLRunner'} # Name-value pairs describing this job
logging:
level: DEBUG # You can optionally switch to INFO for production
#snowplow:
# method: get
# app_id: snowplow # e.g. snowplow
# collector: ADD HERE # e.g. d3rkrsqld9gmqf.cloudfront.net
I tried looking at solutions which other people tried for a similar issue but none of them have worked so far. Can anyone help me figure what am I missing here?
Thanks for all your help in advance!