Error in setting up scala stream collector

Hi trying to setup a collector with the following config.

‘collector’ contains configuration options for the main Scala collector.

collector {

The collector runs as a web service specified on the following interface and port.

interface = “0.0.0.0”

port = 8088

optional SSL/TLS configuration

ssl {
enable = false
# whether to redirect HTTP to HTTPS
redirect = false
port = 9543
}

The collector responds with a cookie to requests with a path that matches the ‘vendor/version’ protocol.

The expected values are:

- com.snowplowanalytics.snowplow/tp2 for Tracker Protocol 2

- r/tp2 for redirects

- com.snowplowanalytics.iglu/v1 for the Iglu Webhook

Any path that matches the ‘vendor/version’ protocol will result in a cookie response, for use by custom webhooks

downstream of the collector.

But you can also map any valid (i.e. two-segment) path to one of the three defaults.

Your custom path must be the key and the value must be one of the corresponding default paths. Both must be full

valid paths starting with a leading slash.

Pass in an empty map to avoid mapping.

paths {
# “/com.acme/track” = “/com.snowplowanalytics.snowplow/tp2”
# “/com.acme/redirect” = “/r/tp2”
# “/com.acme/iglu” = “/com.snowplowanalytics.iglu/v1”
}

Configure the P3P policy header.

p3p {
policyRef = “/w3c/p3p.xml”
CP = “NOI DSP COR NID PSA OUR IND COM NAV STA”
}

Cross domain policy configuration.

If “enabled” is set to “false”, the collector will respond with a 404 to the /crossdomain.xml

route.

crossDomain {
enabled = false
# Domains that are granted access, *.acme.com will match http://acme.com and http://sub.acme.com

domains = [ "*" ]

# Whether to only grant access to HTTPS or both HTTPS and HTTP sources
secure = true

}

The collector returns a cookie to clients for user identification

with the following domain and expiration.

cookie {
enabled = false

expiration = "365 days" # e.g. "365 days"

# Network cookie name
name = "test"

# The domain is optional and will make the cookie accessible to other
# applications on the domain. Comment out these lines to tie cookies to
# the collector's full domain.
# The domain is determined by matching the domains from the Origin header of the request
# to the list below. The first match is used. If no matches are found, the fallback domain will be used,
# if configured.
# If you specify a main domain, all subdomains on it will be matched.
# If you specify a subdomain, only that subdomain will be matched.
# Examples:
# domain.com will match domain.com, www.domain.com and secure.client.domain.com
# client.domain.com will match secure.client.domain.com but not domain.com or www.domain.com
domains = [
    "{{cookieDomain1}}" # e.g. "domain.com" -> any origin domain ending with this will be matched and domain.com will be returned
    "{{cookieDomain2}}" # e.g. "secure.anotherdomain.com" -> any origin domain ending with this will be matched and secure.anotherdomain.com will be returned
    # ... more domains
]


# ... more domains
# If specified, the fallback domain will be used if none of the Origin header hosts matches the list of
# cookie domains configured above. (For example, if there is no Origin header.)
fallbackDomain = "{{fallbackDomain}}"

secure = false

httpOnly = false

# The sameSite is optional. You can choose to not specify the attribute, or you can use `Strict`,
# `Lax` or `None` to limit the cookie sent context.
#   Strict: the cookie will only be sent along with "same-site" requests.
#   Lax: the cookie will be sent with same-site requests, and with cross-site top-level navigation.
#   None: the cookie will be sent with same-site and cross-site requests.
sameSite = "{{cookieSameSite}}"

}

If you have a do not track cookie in place, the Scala Stream Collector can respect it by

completely bypassing the processing of an incoming request carrying this cookie, the collector

will simply reply by a 200 saying “do not track”.

The cookie name and value must match the configuration below, where the names of the cookies must

match entirely and the value could be a regular expression.

doNotTrackCookie {
enabled = false
name = “dnt”
value = “value”
}

When enabled and the cookie specified above is missing, performs a redirect to itself to check

if third-party cookies are blocked using the specified name. If they are indeed blocked,

fallbackNetworkId is used instead of generating a new random one.

cookieBounce {
enabled = false
# The name of the request parameter which will be used on redirects checking that third-party
# cookies work.
name = “n3pc”
# Network user id to fallback to when third-party cookies are blocked.
fallbackNetworkUserId = “00000000-0000-4000-A000-000000000000”
# Optionally, specify the name of the header containing the originating protocol for use in the
# bounce redirect location. Use this if behind a load balancer that performs SSL termination.
# The value of this header must be http or https. Example, if behind an AWS Classic ELB.
forwardedProtocolHeader = “X-Forwarded-Proto”
}

When enabled, redirect prefix r/ will be enabled and its query parameters resolved.

Otherwise the request prefixed with r/ will be dropped with 404 Not Found

Custom redirects configured in paths can still be used.

enableDefaultRedirect = true

When enabled, the redirect url passed via the u query parameter is scanned for a placeholder

token. All instances of that token are replaced withe the network ID. If the placeholder isn’t

specified, the default value is ${SP_NUID}.

redirectMacro {
enabled = false
# Optional custom placeholder token (defaults to the literal ${SP_NUID})
placeholder = “[TOKEN]”
}

Customize response handling for requests for the root path ("/").

Useful if you need to redirect to web content or privacy policies regarding the use of this collector.

rootResponse {
enabled = false
statusCode = 302

# Optional, defaults to empty map
headers = {
  Location = "https://127.0.0.1/",      
  X-Custom = "something"
}
# Optional, defaults to empty string
body = "302, redirecting"    

}

Configuration related to CORS preflight requests

cors {
# The Access-Control-Max-Age response header indicates how long the results of a preflight
# request can be cached. -1 seconds disables the cache. Chromium max is 10m, Firefox is 24h.
accessControlMaxAge = 5 seconds
}

Configuration of prometheus http metrics

prometheusMetrics {
# If metrics are enabled then all requests will be logged as prometheus metrics
# and ‘/metrics’ endpoint will return the report about the requests
enabled = false
# Custom buckets for http_request_duration_seconds_bucket duration metric
#durationBucketsInSeconds = [0.1, 3, 10]
}

streams {
# Events which have successfully been collected will be stored in the good stream/topic
good = good-collector-stg01

# Events that are too big (w.r.t Kinesis 1MB limit) will be stored in the bad stream/topic
bad = bad-collector-stg01


# Whether to use the incoming event's ip as the partition key for the good stream/topic
# Note: Nsq does not make use of partition key.
useIpAddressAsPartitionKey = false


# Enable the chosen sink by uncommenting the appropriate configuration
sink {
  # Choose between kinesis, google-pub-sub, kafka, nsq, or stdout.
  # To use stdout, comment or remove everything in the "collector.streams.sink" section except
  # "enabled" which should be set to "stdout".
  enabled = kinesis


  # Region where the streams are located
  region = us-east-1


  ## Optional endpoint url configuration to override aws kinesis endpoints,
  ## this can be used to specify local endpoints when using localstack
  # customEndpoint = none
  

  # Thread pool size for Kinesis API requests
  threadPoolSize = 10
  

  # The following are used to authenticate for the Amazon Kinesis sink.
  # If both are set to 'default', the default provider chain is used
  # (see http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/com/amazonaws/auth/DefaultAWSCredentialsProviderChain.html)
  # If both are set to 'iam', use AWS IAM Roles to provision credentials.
  # If both are set to 'env', use environment variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY
  aws {
    accessKey = "KEY"        
    secretKey = "SECRET"
  }


  # Minimum and maximum backoff periods, in milliseconds
  backoffPolicy {
    minBackoff = 10000        
    maxBackoff = 100000000        
  }

  # Or Google Pubsub
  #googleProjectId = ID
  ## Minimum, maximum and total backoff periods, in milliseconds
  ## and multiplier between two backoff
  #backoffPolicy {
  #  minBackoff = {{minBackoffMillis}}
  #  maxBackoff = {{maxBackoffMillis}}
  #  totalBackoff = {{totalBackoffMillis}} # must be >= 10000
  #  multiplier = {{backoffMultiplier}}
  #}

  # Or Kafka
  #brokers = "{{kafkaBrokers}}"
  ## Number of retries to perform before giving up on sending a record
  #retries = 0
  # The kafka producer has a variety of possible configuration options defined at
  # https://kafka.apache.org/documentation/#producerconfigs
  # Some values are set to other values from this config by default:
  # "bootstrap.servers" -> brokers
  # retries             -> retries
  # "buffer.memory"     -> buffer.byteLimit
  # "linger.ms"         -> buffer.timeLimit
  #producerConf {
  #  acks = all
  #  "key.serializer"     = "org.apache.kafka.common.serialization.StringSerializer"
  #  "value.serializer"   = "org.apache.kafka.common.serialization.StringSerializer"
  #}

  # Or NSQ
  ## Host name for nsqd
  #host = "{{nsqHost}}"
  ## TCP port for nsqd, 4150 by default
  #port = {{nsqdPort}}
}

# Incoming events are stored in a buffer before being sent to Kinesis/Kafka.
# Note: Buffering is not supported by NSQ.
# The buffer is emptied whenever:
# - the number of stored records reaches record-limit or
# - the combined size of the stored records reaches byte-limit or
# - the time in milliseconds since the buffer was last emptied reaches time-limit
buffer {
  byteLimit = 10000000      
  recordLimit = 500 # Not supported by Kafka; will be ignored      
  timeLimit = 1000000	  
}

}

}

Akka has a variety of possible configuration options defined at

http://doc.akka.io/docs/akka/current/scala/general/configuration.html

akka {
loglevel = DEBUG # ‘OFF’ for no logging, ‘DEBUG’ for all logging.

loggers = [“akka.event.slf4j.Slf4jLogger”]

akka-http is the server the Stream collector uses and has configurable options defined at

http://doc.akka.io/docs/akka-http/current/scala/http/configuration.html

http.server {
# To obtain the hostname in the collector, the ‘remote-address’ header
# should be set. By default, this is disabled, and enabling it
# adds the ‘Remote-Address’ header to every request automatically.
remote-address-header = on

raw-request-uri-header = on


# Define the maximum request length (the default is 2048)
parsing {
  max-uri-length = 32768      
  uri-parsing-mode = relaxed      
}

}

By default setting collector.ssl relies on JSSE (Java Secure Socket

Extension) to enable secure communication.

To override the default settings set the following section as per

https://lightbend.github.io/ssl-config/ExampleSSLConfig.html

ssl-config {

debug = {

ssl = true

}

keyManager = {

stores = [

{type = “PKCS12”, classpath = false, path = “/etc/ssl/mycert.p12”, password = “mypassword” }

]

}

loose {

disableHostnameVerification = false

}

}

}
But keep getting the following error

[pool-1-thread-10] ERROR com.snowplowanalytics.snowplow.collectors.scalastream.sinks.KinesisSink - Retrying in 10000 milliseconds…
[scala-stream-collector-akka.actor.default-dispatcher-3] INFO com.snowplowanalytics.snowplow.collectors.scalastream.sinks.KinesisSink - Writing 114 Thrift records to Kinesis stream good-collector-stg01
[pool-1-thread-2] ERROR com.snowplowanalytics.snowplow.collectors.scalastream.sinks.KinesisSink - Writing failed.
com.amazonaws.SdkClientException: Unable to execute HTTP request: Broken pipe (Write failed)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.handleRetryableException(AmazonHttpClient.java:1175)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1121)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.doExecute(AmazonHttpClient.java:770)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeWithTimer(AmazonHttpClient.java:744)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.execute(AmazonHttpClient.java:726)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.access$500(AmazonHttpClient.java:686)
at com.amazonaws.http.AmazonHttpClient$RequestExecutionBuilderImpl.execute(AmazonHttpClient.java:668)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:532)
at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:512)
at com.amazonaws.services.kinesis.AmazonKinesisClient.doInvoke(AmazonKinesisClient.java:2809)
at com.amazonaws.services.kinesis.AmazonKinesisClient.invoke(AmazonKinesisClient.java:2776)
at com.amazonaws.services.kinesis.AmazonKinesisClient.invoke(AmazonKinesisClient.java:2765)
at com.amazonaws.services.kinesis.AmazonKinesisClient.executePutRecords(AmazonKinesisClient.java:2169)
at com.amazonaws.services.kinesis.AmazonKinesisClient.putRecords(AmazonKinesisClient.java:2140)
at com.snowplowanalytics.snowplow.collectors.scalastream.sinks.KinesisSink.$anonfun$multiPut$1(KinesisSink.scala:286)
at scala.concurrent.Future$.$anonfun$apply$1(Future.scala:659)
at scala.util.Success.$anonfun$map$1(Try.scala:255)
at scala.util.Success.map(Try.scala:213)
at scala.concurrent.Future.$anonfun$map$1(Future.scala:292)
at scala.concurrent.impl.Promise.liftedTree1$1(Promise.scala:33)
at scala.concurrent.impl.Promise.$anonfun$transform$1(Promise.scala:33)
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:64)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketException: Broken pipe (Write failed)
at java.net.SocketOutputStream.socketWrite0(Native Method)
at java.net.SocketOutputStream.socketWrite(SocketOutputStream.java:111)
at java.net.SocketOutputStream.write(SocketOutputStream.java:155)
at sun.security.ssl.OutputRecord.writeBuffer(OutputRecord.java:431)
at sun.security.ssl.OutputRecord.write(OutputRecord.java:417)
at sun.security.ssl.SSLSocketImpl.writeRecordInternal(SSLSocketImpl.java:886)
at sun.security.ssl.SSLSocketImpl.writeRecord(SSLSocketImpl.java:857)
at sun.security.ssl.AppOutputStream.write(AppOutputStream.java:123)
at org.apache.http.impl.io.SessionOutputBufferImpl.streamWrite(SessionOutputBufferImpl.java:124)
at org.apache.http.impl.io.SessionOutputBufferImpl.flushBuffer(SessionOutputBufferImpl.java:136)
at org.apache.http.impl.io.SessionOutputBufferImpl.write(SessionOutputBufferImpl.java:167)
at org.apache.http.impl.io.ContentLengthOutputStream.write(ContentLengthOutputStream.java:113)
at org.apache.http.entity.InputStreamEntity.writeTo(InputStreamEntity.java:144)
at com.amazonaws.http.RepeatableInputStreamRequestEntity.writeTo(RepeatableInputStreamRequestEntity.java:160)
at org.apache.http.impl.DefaultBHttpClientConnection.sendRequestEntity(DefaultBHttpClientConnection.java:156)
at org.apache.http.impl.conn.CPoolProxy.sendRequestEntity(CPoolProxy.java:160)
at org.apache.http.protocol.HttpRequestExecutor.doSendRequest(HttpRequestExecutor.java:238)
at com.amazonaws.http.protocol.SdkHttpRequestExecutor.doSendRequest(SdkHttpRequestExecutor.java:63)
at org.apache.http.protocol.HttpRequestExecutor.execute(HttpRequestExecutor.java:123)
at org.apache.http.impl.execchain.MainClientExec.execute(MainClientExec.java:272)
at org.apache.http.impl.execchain.ProtocolExec.execute(ProtocolExec.java:185)
at org.apache.http.impl.client.InternalHttpClient.doExecute(InternalHttpClient.java:185)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:83)
at org.apache.http.impl.client.CloseableHttpClient.execute(CloseableHttpClient.java:56)
at com.amazonaws.http.apache.client.impl.SdkHttpClient.execute(SdkHttpClient.java:72)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeOneRequest(AmazonHttpClient.java:1297)
at com.amazonaws.http.AmazonHttpClient$RequestExecutor.executeHelper(AmazonHttpClient.java:1113)

It looks like your byteLimit is set to 10mb, could you try lowering this to 1mb?
byteLimit = 1000000

Seems like you might have the same issue as this post: Scala Stream Collector - java.net.SocketException: Broken pipe (Write failed)