i am running storage step in the snowplow but the events are not ending in the buckets.
When i check the buckets, everything was empty(0KB) file.
Please suggest me what wrong i am doing.
EC2 instace type :t2.medium
config.yml file is below
aws:
# Credentials can be hardcoded or set in environment variables
access_key_id: xxxx
secret_access_key: xxxxxx
#keypair: Snowplowkeypair
#key-pair-file: /home/ubuntu/snowplow/4-storage/config/Snowplowkeypair.pem
region: us-east-1
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: s3://snowplowdataevents2/logs
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
- s3://snowplowdataevents2/ # e.g. s3://my-old-collector-bucket
processing: s3://snowplowdataevents2/raw/processing
archive: s3://snowplowdataevents2/raw/archive # e.g. s3://my-archive-bucket/raw
enriched:
good: s3://snowplowdataevents2/enriched/good # e.g. s3://my-out-bucket/enriched/good
bad: s3://snowplowdataevents2/enriched/bad # e.g. s3://my-out-bucket/enriched/bad
errors: s3://snowplowdataevents2/enriched/errors # Leave blank unless :continue_on_unexpected_error: set to true below
archive: s3://snowplowdataevents2/enriched/archive # Where to archive enriched events to, e.g. s3://my-archive-bucket/enriched
shredded:
good: s3://snowplowdataevents2/shredded/good # e.g. s3://my-out-bucket/shredded/good
bad: s3://snowplowdataevents2/shredded/bad # e.g. s3://my-out-bucket/shredded/bad
errors: s3://snowplowdataevents2/shredded/errors # Leave blank unless :continue_on_unexpected_error: set to true below
archive: s3://snowplowdataevents2/shredded/archive # Where to archive shredded events to, e.g. s3://my-archive-bucket/shredded
emr:
ami_version: 5.5.0
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: 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: Snowplowkeypair
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: m2.4xlarge
core_instance_count: 2
core_instance_type: m2.4xlarge
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: m2.4xlarge
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: thrift # 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: 1.9.0 # 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
storage:
versions:
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
monitoring:
tags: {} # Name-value pairs describing this job
logging:
level: DEBUG # You can optionally switch to INFO for production
#snowplow:
#method: get
#app_id: unilog # e.g. snowplow
#collector: 172.31.38.39:8082 # e.g. d3rkrsqld9gmqf.cloudfront.net
iglu_resolver.json file is as below
{
"schema": "iglu:com.snowplowanalytics.iglu/resolver-config/jsonschema/1-0-1",
"data": {
"cacheSize": 500,
"repositories": [
{
"name": "Iglu Central",
"priority": 0,
"vendorPrefixes": [ "com.snowplowanalytics" ],
"connection": {
"http": {
"uri": "http://iglucentral.com"
}
}
}
]
}
}
redshift.json file is as below.
{
"schema": "iglu:com.snowplowanalytics.snowplow.storage/redshift_config/jsonschema/2-0-0",
"data": {
"name": "AWS Redshift enriched events storage",
"host": "snowplow.xxxxxx.us-east-1.redshift.amazonaws.com",
"database": "xxx",
"port": 5439,
"sslMode": "DISABLE",
"username": "unilog2",
"password": "xxxxx",
"roleArn": "arn:aws:iam::302576851619:role/NewRedshiftRole",
"schema": "atomic",
"maxError": 1,
"compRows": 20000,
"purpose": "ENRICHED_EVENTS"
}
}
error in that particular step is as below
Exception in thread “main” java.lang.RuntimeException: Error running job
at com.amazon.elasticmapreduce.s3distcp.S3DistCp.run(S3DistCp.java:927)
at com.amazon.elasticmapreduce.s3distcp.S3DistCp.run(S3DistCp.java:705)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
at com.amazon.elasticmapreduce.s3distcp.Main.main(Main.java:22)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://ip-172-31-27-212.ec2.internal:8020/tmp/8e1694aa-baa4-4c6c-8862-573a58bfedb6/files
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:317)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:265)
at org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat.listStatus(SequenceFileInputFormat.java:59)
at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:352)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:301)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:318)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:196)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287)
at com.amazon.elasticmapreduce.s3distcp.S3DistCp.run(S3DistCp.java:901)
… 10 more
I am not getting what mistake i am doing, please help me out
Below is the command i am running…
./snowplow-emr-etl-runner run --config snowplow/4-storage/config/emretlrunner.yml --resolver snowplow/4-storage/config/iglu_resolver.json --targets snowplow/4-storage/config/targets/ --skip analyze
please suggest me the configuration files changes…
Note: Before couple of weeks it was working fine, now both good and bad buckets are empty please help me out.