I’m trying to run my first Snowplow EMR job, but the executable is giving me a difficult to debug error.
$ ./snowplow-emr-etl-runner run -c snowplow-emr-config.yml -r iglu-resolver.json
[2019-06-27T00:26:36.571309 #15957] DEBUG -- : Initializing EMR jobflow
ArgumentError: wrong number of arguments (2 for 1)
failure_callback at uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/contracts.rb:501
block in redefine_method at uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:143
initialize at uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/emr_job.rb:501
send_to at uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_reference.rb:43
call_with at uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:76
block in redefine_method at uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138
run at uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/runner.rb:135
send_to at uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_reference.rb:43
call_with at uri:classloader:/gems/contracts-0.11.0/lib/contracts/call_with.rb:76
block in redefine_method at uri:classloader:/gems/contracts-0.11.0/lib/contracts/method_handler.rb:138
<main> at uri:classloader:/emr-etl-runner/bin/snowplow-emr-etl-runner:41
load at org/jruby/RubyKernel.java:994
<main> at uri:classloader:/META-INF/main.rb:1
require at org/jruby/RubyKernel.java:970
(root) at uri:classloader:/META-INF/main.rb:1
<main> at uri:classloader:/META-INF/jruby.home/lib/ruby/stdlib/rubygems/core_ext/kernel_require.rb:1
ERROR: org.jruby.embed.EvalFailedException: (ArgumentError) wrong number of arguments (2 for 1)
Here’s my EMR config.
aws:
# Credentials can be hardcoded or set in environment variables
access_key_id: xx
secret_access_key: xx
s3:
region: us-west-1
buckets:
assets: s3://snowplow-hosted-assets
jsonpath_assets:
log: s3://tjw-snowplow/log
encrypted: false
raw:
in:
- s3://elasticbeanstalk-us-west-1-002031781174/resources/environments/logs/publish/e-jwqyebkbwz/
processing: s3://tjw-snowplow/raw/processing
archive: s3://tjw-snowplow/raw/processing
enriched:
good: s3://tjw-snowplow/enriched/good
bad: s3://tjw-snowplow/enriched/bad
errors: s3://tjw-snowplow/enriched/errors
archive: s3://tjw-snowplow/enriched/archive
shredded:
good: s3://tjw-snowplow/shredded/good
bad: s3://tjw-snowplow/shredded/bad
errors: s3://tjw-snowplow/shredded/errors # Leave blank unless :continue_on_unexpected_error: set to true below
archive: s3://tjw-snowplow/shredded/archive # Where to archive shredded events to, e.g. s3://my-archive-bucket/shredded
consolidate_shredded_output: false # Whether to combine files when copying from hdfs to s3
emr:
ami_version: 5.9.0
region: us-west-1 # 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-8d7567ea # Set this if running in VPC. Leave blank otherwise
ec2_key_name: tjw_rsa_id
security_configuration: # Specify your EMR security configuration if needed. Leave blank otherwise
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_test_ETL # Give your job a name
master_instance_type: m1.medium
core_instance_count: 2
core_instance_type: m1.medium
core_instance_ebs: # Optional. Attach an EBS volume to each core instance.
volume_size: 10 # 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: m1.medium
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
configuration:
yarn-site:
yarn.resourcemanager.am.max-attempts: "1"
spark:
maximizeResourceAllocation: "true"
additional_info: # Optional JSON string for selecting additional features
collectors:
format: clj-tomcat # 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: 1.17.0 # 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_loader: 0.14.0
rdb_shredder: 0.13.1 # Version of the Spark Shredding process
hadoop_elasticsearch: 0.1.0 # Version of the Hadoop to Elasticsearch copying process
monitoring:
tags: {} # Name-value pairs describing this job
logging:
level: DEBUG # You can optionally switch to INFO for production
# snowplow:
# method: get
# protocol: http
# port: 80
# app_id: ADD HERE # e.g. snowplow
# collector: ADD HERE # e.g. d3rkrsqld9gmqf.cloudfront.net
It is this line on the current version that’s throwing the error.
Has anyone else had a similar issue? Is my config somehow broken?