Errror while running StorageLoader

we are using EmreEtlRunner in the bellow version

While running this bellow Command
./snowplow-storage-loader --config 4-storage/config/emretlrunner.yml --resolver 4-storage/config/resolver.json --targets 4-storage/config/targets/ --skip analyze

Bellow is the error i am getting

	Unexpected error: JSON instance is not self-describing (schema property is absent):
	 {"$schema":"","description":"Snowplow PostgreSQL storage configuration","self":{"vendor":"","name":"postgresql_config","format":"jsonschema","version":"1-0-0"},"type":"object","properties":{"name":{"type":"PostgreSQL enriched events storage"},"host":{"type":"localhost"},"database":{"type":"snowplow"},"port":{"type":"integer","minimum":1,"maximum":65535},"sslMode":{"type":"DISABLE","enum":["DISABLE","REQUIRE","VERIFY_CA","VERIFY_FULL"]},"schema":{"type":"atomic"},"username":{"type":"power_user"},"password":{"type":"hadoop"},"purpose":{"type":"ENRICHED_EVENTS","enum":["ENRICHED_EVENTS"]}},"additionalProperties":false,"required":["name","host","database","port","sslMode","schema","username","password","purpose"]}
	uri:classloader:/gems/iglu-ruby-client-0.1.0/lib/iglu-client/resolver.rb:92:in `get_schema_key'
	uri:classloader:/gems/iglu-ruby-client-0.1.0/lib/iglu-client/resolver.rb:66:in `parse'
	uri:classloader:/storage-loader/lib/snowplow-storage-loader/config.rb:55:in `get_config'
	uri:classloader:/storage-loader/bin/snowplow-storage-loader:31:in `<main>'
	org/jruby/ `load'
	uri:classloader:/META-INF/main.rb:1:in `<main>'
	org/jruby/ `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>'

Bellow is the Config.yml file

  # Credentials can be hardcoded or set in environment variables
  access_key_id: xxxxxxxxxxx
  secret_access_key: xxxxxxxxxxxxxxxxxx
    region: us-east-1
      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://unilogregion1/logs
        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://ilogregion1         # e.g. s3://my-old-collector-bucket
        processing: s3://ilogregion1/raw/processing
        archive: s3://ilogregion1/raw/archive   # e.g. s3://my-archive-bucket/raw
        good: s3://ilogregion1/enriched/good        # e.g. s3://my-out-bucket/enriched/good
        bad: s3://ilogregion1/enriched/bad       # e.g. s3://my-out-bucket/enriched/bad
        errors: s3://ilogregion1/enriched/errors     # Leave blank unless :continue_on_unexpected_error: set to true below
        archive: s3://ilogregion1/enriched/archive    # Where to archive enriched events to, e.g. s3://my-archive-bucket/enriched
        good: s3://ilogregion1/shredded/good        # e.g. s3://my-out-bucket/shredded/good
        bad: s3://ilogregion1/shredded/bad        # e.g. s3://my-out-bucket/shredded/bad
        errors: s3://ilogregion1/shredded/errors     # Leave blank unless :continue_on_unexpected_error: set to true below
        archive: s3://ilogregion1/shredded/archive     # Where to archive shredded events to, e.g. s3://my-archive-bucket/shredded
    ami_version: 5.5.0
    region: us-east-1a       # 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: us-east-1a     # 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: snowplow
    bootstrap: []           # Set this to specify custom boostrap actions. Leave empty otherwise
      hbase: "0.92.0"               # Optional. To launch on cluster, provide version, "0.92.0", keep quotes. Leave empty otherwise.
      lingual: "1.1"              # Optional. To launch on cluster, provide version, "1.1", keep quotes. Leave empty otherwise.
    # Adjust your Hadoop cluster below
      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
      yarn-site: "1"
        maximizeResourceAllocation: "true"
    additional_info:        # Optional JSON string for selecting additional features
  format: thrift # For example: 'clj-tomcat' for the Clojure Collector, 'thrift' for Thrift records, 'tsv/' for Cloudfront access logs or 'ndjson/urbanairship.connect/v1' for UrbanAirship Connect events
    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
    rdb_loader: 0.12.0
    rdb_shredder: 0.12.0        # Version of the Spark Shredding process
    hadoop_elasticsearch: 0.1.0 # Version of the Hadoop to Elasticsearch copying process
  tags: {} # Name-value pairs describing this job
    level: DEBUG # You can optionally switch to INFO for production
    #method: get
    #app_id: unilog # e.g. snowplow
    #collector: # e.g.

Bellow is my resolver file

	"$schema": "",
	"description": "Snowplow PostgreSQL storage configuration",
	"self": {
		"vendor": "",
		"name": "postgresql_config",
		"format": "jsonschema",
		"version": "1-0-0"
	"type": "object",
	"properties": {
		"name": {
			"type": "PostgreSQL enriched events storage"
		"host": {
			"type": "localhost"
		"database": {
			"type": "snowplow"
		"port": {
			"type": "integer",
			"minimum": 1,
			"maximum": 65535
		"sslMode": {
			"type": "DISABLE",
		"schema": {
			"type": "atomic"
		"username": {
			"type": "power_user"
		"password": {
			"type": "hadoop"
		"purpose": {
			"type": "ENRICHED_EVENTS",
			"enum": ["ENRICHED_EVENTS"]
	"additionalProperties": false,
	"required": ["name", "host", "database", "port", "sslMode", "schema", "username", "password", "purpose"]

please help me is their any change i have do in my congfig file or command
How to run Storange loader with snowplow_emr_r91_stonehenge_rc9 version?

The resolver is supposed to point to a schema registry (e.g. not be a schema for a specific type of event itself.

1 Like

hi @BenFradet thanks for the reply
I ran with iglu_resolver.json file with using below command.

./snowplow-storage-loader --config 4-storage/config/emretlrunner.yml --resolver 4-storage/config/iglu_resolver.json --targets 4-storage/config/targets/ --skip analyze

i am getting below error

Error in [redshift.json] The property '#/roleArn' was not of a minimum string length of 20 Shutting down

under --targets 4-storage/config/targets/ have 5 json files.
below is the screenshot of json files.

thank you

Hi @shashi,

Make sure you have a correct roleArn in your redshift.json configuration. It must look something like arn:aws:iam::719197435995:role/RedshiftLoadRole and simply cannot be shorter than 20 characters by its format definition. Most likely you have just RedshiftLoadRole, but need to provide full ARN URI.

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