Can someone help me to move our data in postgres database?
We got the following error message:
EmrEtlRunner returned 4, directory is not empty. StorageLoader not run
We tried to solve it with --skip commands, we have deleted all testing data and we created new buckets, directories but we have still the same issue. We can not move our data to postgres.
Snowplow ETL process should be fine:
Elasticity S3DistCp Step: Raw S3 Staging -> S3 Archive Completed 2017-07-17 17:04 (UTC+2) 1 minute
Elasticity S3DistCp Step: Shredded HDFS -> S3 Completed 2017-07-17 17:02 (UTC+2) 1 minute
Elasticity Spark Step: Shred Enriched Events Completed 2017-07-17 17:00 (UTC+2) 2 minutes
Elasticity S3DistCp Step: Enriched HDFS _SUCCESS -> S3 Completed 2017-07-17 16:59 (UTC+2) 1 minute
Elasticity S3DistCp Step: Enriched HDFS -> S3 Completed 2017-07-17 16:57 (UTC+2) 1 minute
Elasticity Spark Step: Enrich Raw Events Completed 2017-07-17 16:54 (UTC+2) 2 minutes
our config:
aws:
# Credentials can be hardcoded or set in environment variables
access_key_id: ****
secret_access_key: ****
s3:
region: eu-west-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://mhublogs
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
- "s3n://elasticbeanstalk-eu-west-1-896554815027/resources/environments/logs/publish/e-****" # e.g. s3://my-old-collector-bucket
processing: s3n://mhublog-processing/processing
archive: s3n://mhubarchive/raw # e.g. s3://my-archive-bucket/raw
enriched:
good: s3://mhubenriched/good # e.g. s3://my-out-bucket/enriched/good
bad: s3://mhubenriched/bad # e.g. s3://my-out-bucket/enriched/bad
errors: # Leave blank unless :continue_on_unexpected_error: set to true below
archive: s3://mhubarchive/enriched # Where to archive enriched events to, e.g. s3://my-archive-bucket/enriched
shredded:
good: s3://mhubshredded/good # e.g. s3://my-out-bucket/shredded/good
bad: s3://mhubshredded/bad # e.g. s3://my-out-bucket/shredded/bad
errors: # Leave blank unless :continue_on_unexpected_error: set to true below
archive: s3://mhubarchive/shredded # Where to archive shredded events to, e.g. s3://my-archive-bucket/shredded
emr:
ami_version: 5.5.0
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: eu-west-1b # Set this if not running in VPC. Leave blank otherwise
ec2_subnet_id: # Set this if running in VPC. Leave blank otherwise
ec2_key_name: rabbit
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
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 Conne$
enrich:
versions:
spark_enrich: 1.9.0 # Version of the Spark Enrichment process
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: ****.eu-west-1.elasticbeanstalk.com #d3cxsus9b0a0pj.cloudfront.net # e.g. d3rkrsqld9gmqf.cloudfront.net
postgres.json:
{
"schema": "iglu:com.snowplowanalytics.snowplow.storage/postgresql_config/jsonschema/1-0-0",
"data": {
"name": "PostgreSQL enriched events storage",
"host": "localhost",
"database": "snowplow",
"port": 5432,
"sslMode": "DISABLE",
"username": "power_user",
"password": "****",
"schema": "atomic",
"purpose": "ENRICHED_EVENTS"
}
}