Contract Violation -

For engineers
1

I’m setting up a new emr snowplow_emr_r114_polonnaruwa. I can’t figure out my configuration error. I’m not using storage yet, I’m going to use Snowflake. Please help be get the EMR process running then I can do storage.

Error: ri:classloader:/gems/avro-1.8.1/lib/avro/schema.rb:350: warning: constant ::Fixnum is deprecated

ReturnContractError: Contract violation for return value:

aws:

Credentials can be hardcoded or set in environment variables

access_key_id: ****
secret_access_key: *****
s3:
region: us-east-1
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: s3n://bucketname-snowplow-etl/logs/
encrypted: false # Whether the buckets below are enrcrypted using server side encryption (SSE-S3)
raw:
in: s3://elasticbeanstalk-us-east-1-213747503224/resources/environments/logs/publish/e-7p3gmwc6uu # raw logs from beanstalk instances
processing: s3://bucketname-snowplow-etl/events/processing/
archive: s3://bucketname-snowplow-archive/raw
enriched:
good: s3://bucketname-snowplow-data/events/enriched/good
bad: s3://bucketname-snowplow-data/events/enriched/bad
errors: s3://bucketname-snowplow-data/events/enriched/errors
archive: s3://bucketname-snowplow-data/events/enriched/archive
shredded:
good: s3://bucketname-snowplow-data/events/shredded/good
bad: s3://bucketname-snowplow-data/events/shredded/bad
errors: s3://bucketname-snowplow-data/events/shredded/errors
archive: s3://bucketname-snowplow-data/events/shredded/archive
consolidate_shredded_output: false # Whether to combine files when copying from hdfs to s3
emr:
ami_version: 5.9.0
region: us-east-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: ADD HERE # Set this if not running in VPC. Leave blank otherwise
ec2_subnet_id: vpc-123469f7 # Set this if running in VPC. Leave blank otherwise
ec2_key_name: snowplow-emr-ec2
security_configuration: ADD HERE # 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 ETL # Give your job a name
master_instance_type: t2.medium
core_instance_count: 2
core_instance_type: t2.medium
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: t2.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: appid # e.g. snowplow
collector: http://collector.us-east-1.elasticbeanstalk.com # e.g. d3rkrsqld9gmqf.cloudfront.net

2

@sonnypolaris, you haven’t presented the content of your configuration in a formatted way, so it is hard reviewing it (you could have pasted it in between ``` quotes). Also, you did not show the full error message which would state what is expected in the config file.

Just a very quick look suggests that the raw bucket is not provided correctly. It is expected to be an array but you have a string. There might be some other issues too (again, hard to follow in your example).

So, instead of

raw:
  in: s3://elasticbeanstalk-us-east-1-213747503224/resources/environments/logs/publish/e-7p3gmwc6uu

I would expect to see

raw:
  in: 
  - s3://elasticbeanstalk-us-east-1-213747503224/resources/environments/logs/publish/e-7p3gmwc6uu

Note the dash (-) suggesting it is an array of buckets.

3

Thanks for point me in the right direction. I resolved it with your help. I’ve added the properly formated message to this posting for clarity. Thanks again,

      # Credentials can be hardcoded or set in environment variables
      access_key_id: ****
      secret_access_key: *****
      s3:
    region: us-east-1
    buckets:
      assets: s3://snowplow-hosted-assets # 
      jsonpath_assets: 
      log: s3n://bucketname-snowplow-etl/logs/
      encrypted: false 
      raw:
        in: 
        -s3://elasticbeanstalk-us-east-1-213747503224/resources/environments/logs/publish/e-7p3gmwc6uu # raw logs from beanstalk instances
        processing:  s3://bucketname-snowplow-etl/events/processing/
        archive:     s3://bucketname-snowplow-archive/raw
      enriched:
        good:    s3://bucketname-snowplow-data/events/enriched/good
        bad:     s3://bucketname-snowplow-data/events/enriched/bad
        errors:  s3://bucketname-snowplow-data/events/enriched/errors
        archive: s3://bucketname-snowplow-data/events/enriched/archive
      shredded:
        good:    s3://bucketname-snowplow-data/events/shredded/good
        bad:     s3://bucketname-snowplow-data/events/shredded/bad
        errors:  s3://bucketname-snowplow-data/events/shredded/errors
        archive: s3://bucketname-snowplow-data/events/shredded/archive
    consolidate_shredded_output: false # Whether to combine files when copying from hdfs to s3
      emr:
    ami_version: 5.9.0
    region: us-east-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: securitygroup-123469f7 # Set this if running in VPC. Leave blank otherwise
    ec2_key_name: snowplow-emr-ec2
    security_configuration: 
    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: 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: 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: 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: appid # e.g. snowplow
    collector: collector.us-east-1.elasticbeanstalk.com # e.g. d3rkrsqld9gmqf.cloudfront.net