Hi,
I’m having the following error when running EMRETLRunner in this manner. I’m working with a very small volume of logs here whilst I get my cluster up and running, so I can’t image this is anything due to capacity issues on the EMR servers.
sudo -u snowplow ./snowplow-emr-etl-runner --debug --skip staging,archive_raw --config emr-etl-runner.conf --resolver resolver.json --targets targets/ --enrichments enrichments/
Snowplow::EmrEtlRunner::EmrExecutionError (EMR jobflow j-RYRQ9UEQE0O4 failed, check Amazon EMR console and Hadoop logs for details (help: https://github.com/snowplow/snowplow/wiki/Troubleshooting-jobs-on-Elastic-MapReduce). Data files not archived.
Snowplow ETL: TERMINATING [STEP_FAILURE] ~ elapsed time n/a [2017-06-01 15:50:06 UTC - ]
- 1. Elasticity Setup Hadoop Debugging: COMPLETED ~ 00:00:06 [2017-06-01 15:50:08 UTC - 2017-06-01 15:50:14 UTC]
- 2. Elasticity Scalding Step: Enrich Raw Events: FAILED ~ 00:00:14 [2017-06-01 15:50:18 UTC - 2017-06-01 15:50:32 UTC]
- 3. Elasticity S3DistCp Step: Shredded HDFS -> S3: CANCELLED ~ elapsed time n/a [ - ]
- 4. Elasticity Scalding Step: Shred Enriched Events: CANCELLED ~ elapsed time n/a [ - ]
- 5. Elasticity S3DistCp Step: Enriched HDFS _SUCCESS -> S3: CANCELLED ~ elapsed time n/a [ - ]
- 6. Elasticity S3DistCp Step: Enriched HDFS -> S3: CANCELLED ~ elapsed time n/a [ - ]):
uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/emr_job.rb:500:in `run'
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 redefine_method'
uri:classloader:/emr-etl-runner/lib/snowplow-emr-etl-runner/runner.rb:74:in `run'
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 redefine_method'
uri:classloader:/emr-etl-runner/bin/snowplow-emr-etl-runner:39: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’s the stderr log from the failed step:
Exception in thread "main" com.twitter.scalding.InvalidSourceException: [com.twitter.scalding.MultipleTextLineFilesWrappedArray(s3n://gm-snowplow-data-eu-west-1/processing/)] Data is missing from one or more paths in: List(s3n://gm-snowplow-data-eu-west-1/processing/)
at com.twitter.scalding.FileSource.validateTaps(FileSource.scala:186)
at com.twitter.scalding.FlowState$$anonfun$validateSources$1.apply(FlowState.scala:59)
at com.twitter.scalding.FlowState$$anonfun$validateSources$1.apply(FlowState.scala:54)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
...<snip>
Here’s my EMRETLRunner conf:
aws:
# Credentials can be hardcoded or set in environment variables
access_key_id: xxxxxxxx
secret_access_key: xxxxxxxx
s3:
region: eu-west-1
buckets:
assets: s3://snowplow-hosted-assets
log: s3n://snowplow-data-eu-west-1/logs/
raw:
in:
- s3n://elasticbeanstalk-eu-west-1-xxxxxxxxxxx/resources/environments/logs/publish/e-iufsscreji/
processing: s3n://snowplow-data-eu-west-1/processing/
archive: s3://snowplow-data-eu-west-1/archive/raw/
enriched:
good: s3://snowplow-data-eu-west-1/enriched/good
bad: s3://snowplow-data-eu-west-1/enriched/bad
errors: s3://snowplow-data-eu-west-1/enriched/errors
archive: s3://snowplow-data-eu-west-1/enriched/archive
shredded:
good: s3://snowplow-data-eu-west-1/shredded/good
bad: s3://snowplow-data-eu-west-1/shredded/bad
errors: s3://snowplow-data-eu-west-1/shredded/errors
emr:
ami_version: 4.5.0 # Don't change this
region: eu-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-955dXXXX # Set this if running in VPC. Leave blank otherwise
ec2_key_name: XXXXXXX
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:
master_instance_type: c4.large
core_instance_count: 2
core_instance_type: c4.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: true # Optional. Will default to true
task_instance_count: 0 # Increase to use spot instances
task_instance_type: c4.large
task_instance_bid: # 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: clj-tomcat # Or 'clj-tomcat' for the Clojure Collector, or 'thrift' for Thrift records, or 'tsv/com.amazon.aws.cloudfront/wd_access_log' for Cloudfront access logs
enrich:
job_name: Snowplow ETL # Give your job a name
versions:
hadoop_enrich: 1.8.0 # Version of the Hadoop Enrichment process
hadoop_shred: 0.11.0 # Version of the Hadoop Shredding process
hadoop_elasticsearch: 0.1.0 # Version of the Hadoop to Elasticsearch copying process
continue_on_unexpected_error: true # 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:
download:
folder: # Postgres-only config option. Where to store the downloaded files. Leave blank for Redshift
monitoring:
tags: {} # Name-value pairs describing this job
logging:
level: DEBUG # You can optionally switch to INFO for production
snowplow:
method: get
app_id: ADD HERE # e.g. snowplow
collector: XXXXXX.eu-west-1.elasticbeanstalk.com # e.g. d3rkrsqld9gmqf.cloudfront.net
Any advice would be very very helpful!
Thank you,
Graham