Kafka java.io.EOFException - NetworkReceive.readFromReadableChannel - scala

Question

I'm trying to connect to IBM Message Hub from Apache Spark 2.2.1 Structured Streaming.
The connection code is quite basic:
import org.apache.spark.sql.functions._
import org.apache.spark.sql.SparkSession
val spark = SparkSession.builder.appName("StreamingRetailTransactions").getOrCreate()
import spark.implicits._
val df = spark.readStream.
format("kafka").
option("kafka.bootstrap.servers", "kafka03-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka04-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka01-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka02-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka05-prod02.messagehub.services.eu-gb.bluemix.net:9093").
option("subscribe", "transactions_load").
option("security.protocol", "SASL_SSL").
option("sasl.mechanism", "PLAIN").
option("sasl.jaas.config", "org.apache.kafka.common.security.plain.PlainLoginModule required username=\"*****\" password=\"*****\";").
option("ssl.protocol", "TLSv1.2").
option("ssl.enabled.protocols", "TLSv1.2").
option("ssl.endpoint.identification.algorithm", "HTTPS").
option("auto.offset.reset","earliest").
option("group.id", System.currentTimeMillis).
load()
val query = df.writeStream.format("console").start()
I'm starting the spark shell with:
~/spark-2.2.1-bin-hadoop2.7$ ./bin/spark-shell --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.2.0
However, I'm getting a disconnected error:
scala> 18/01/09 08:34:17 WARN NetworkClient: Bootstrap broker kafka02-prod02.messagehub.services.eu-gb.bluemix.net:9093 disconnected
18/01/09 08:34:17 WARN NetworkClient: Bootstrap broker kafka03-prod02.messagehub.services.eu-gb.bluemix.net:9093 disconnected
18/01/09 08:34:17 WARN NetworkClient: Bootstrap broker kafka01-prod02.messagehub.services.eu-gb.bluemix.net:9093 disconnected
<<repeats forever>>
I've increased debug output with sc.setLogLevel("DEBUG") and I get:
<<log output ommitted for brevity>>
18/01/09 08:38:28 DEBUG SessionState: SessionState user: null
18/01/09 08:38:28 DEBUG SessionState: HDFS root scratch dir: /tmp/hive with schema null, permission: rwx-wx-wx
18/01/09 08:38:28 INFO SessionState: Created local directory: /tmp/2b4557ce-dd17-46d1-9ab0-f9a36fd750f9_resources
18/01/09 08:38:28 INFO SessionState: Created HDFS directory: /tmp/hive/snowch/2b4557ce-dd17-46d1-9ab0-f9a36fd750f9
18/01/09 08:38:28 INFO SessionState: Created local directory: /tmp/snowch/2b4557ce-dd17-46d1-9ab0-f9a36fd750f9
18/01/09 08:38:28 INFO SessionState: Created HDFS directory: /tmp/hive/snowch/2b4557ce-dd17-46d1-9ab0-f9a36fd750f9/_tmp_space.db
18/01/09 08:38:28 INFO HiveClientImpl: Warehouse location for Hive client (version 1.2.1) is file:/home/snowch/spark-2.2.1-bin-hadoop2.7/spark-warehouse
18/01/09 08:38:28 DEBUG SessionState: Session is using authorization class class org.apache.hadoop.hive.ql.security.authorization.DefaultHiveAuthorizationProvider
18/01/09 08:38:28 DEBUG StateStoreCoordinatorRef: Retrieved existing StateStoreCoordinator endpoint
18/01/09 08:38:28 DEBUG StreamExecution: Starting Trigger Calculation
18/01/09 08:38:28 INFO StreamExecution: Starting new streaming query.
18/01/09 08:38:28 DEBUG UserGroupInformation: PrivilegedAction as:snowch (auth:SIMPLE) from:org.apache.hadoop.fs.FileContext.getAbstractFileSystem(FileContext.java:331)
18/01/09 08:38:28 DEBUG KafkaSource$$anon$1: Unable to find batch /tmp/temporary-fb3e6e1a-fbbe-4098-991c-0b29f63ecade/sources/0/0
18/01/09 08:38:28 DEBUG AbstractCoordinator: Sending coordinator request for group spark-kafka-source-9a14bb54-8f1b-47db-8497-19c083128496--998588290-driver-0 to broker kafka05-prod02.messagehub.services.eu-gb.bluemix.net:9093 (id: -5 rack: null)
18/01/09 08:38:28 DEBUG NetworkClient: Initiating connection to node -5 at kafka05-prod02.messagehub.services.eu-gb.bluemix.net:9093.
18/01/09 08:38:28 DEBUG NetworkClient: Initialize connection to node -3 for sending metadata request
18/01/09 08:38:28 DEBUG NetworkClient: Initiating connection to node -3 at kafka01-prod02.messagehub.services.eu-gb.bluemix.net:9093.
18/01/09 08:38:28 DEBUG Metrics: Added sensor with name node--5.bytes-sent
18/01/09 08:38:28 DEBUG Metrics: Added sensor with name node--5.bytes-received
18/01/09 08:38:28 DEBUG Metrics: Added sensor with name node--5.latency
18/01/09 08:38:28 DEBUG NetworkClient: Completed connection to node -5
18/01/09 08:38:28 DEBUG Metrics: Added sensor with name node--3.bytes-sent
18/01/09 08:38:28 DEBUG Metrics: Added sensor with name node--3.bytes-received
18/01/09 08:38:28 DEBUG Metrics: Added sensor with name node--3.latency
18/01/09 08:38:28 DEBUG NetworkClient: Completed connection to node -3
18/01/09 08:38:28 DEBUG NetworkClient: Sending metadata request {topics=[transactions_load]} to node -5
18/01/09 08:38:28 DEBUG Selector: Connection with kafka05-prod02.messagehub.services.eu-gb.bluemix.net/159.8.179.153 disconnected
java.io.EOFException
at org.apache.kafka.common.network.NetworkReceive.readFromReadableChannel(NetworkReceive.java:83)
at org.apache.kafka.common.network.NetworkReceive.readFrom(NetworkReceive.java:71)
at org.apache.kafka.common.network.KafkaChannel.receive(KafkaChannel.java:154)
at org.apache.kafka.common.network.KafkaChannel.read(KafkaChannel.java:135)
at org.apache.kafka.common.network.Selector.pollSelectionKeys(Selector.java:323)
at org.apache.kafka.common.network.Selector.poll(Selector.java:283)
at org.apache.kafka.clients.NetworkClient.poll(NetworkClient.java:260)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.clientPoll(ConsumerNetworkClient.java:360)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:224)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:192)
at org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient.poll(ConsumerNetworkClient.java:163)
at org.apache.kafka.clients.consumer.internals.AbstractCoordinator.ensureCoordinatorReady(AbstractCoordinator.java:179)
at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:974)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:938)
at org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1$$anonfun$apply$9.apply(KafkaOffsetReader.scala:174)
at org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1$$anonfun$apply$9.apply(KafkaOffsetReader.scala:172)
at org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt$1.apply$mcV$sp(KafkaOffsetReader.scala:263)
at org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt$1.apply(KafkaOffsetReader.scala:262)
at org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt$1.apply(KafkaOffsetReader.scala:262)
at org.apache.spark.util.UninterruptibleThread.runUninterruptibly(UninterruptibleThread.scala:85)
at org.apache.spark.sql.kafka010.KafkaOffsetReader.org$apache$spark$sql$kafka010$KafkaOffsetReader$$withRetriesWithoutInterrupt(KafkaOffsetReader.scala:261)
at org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1.apply(KafkaOffsetReader.scala:172)
at org.apache.spark.sql.kafka010.KafkaOffsetReader$$anonfun$fetchLatestOffsets$1.apply(KafkaOffsetReader.scala:172)
at org.apache.spark.sql.kafka010.KafkaOffsetReader.runUninterruptibly(KafkaOffsetReader.scala:230)
at org.apache.spark.sql.kafka010.KafkaOffsetReader.fetchLatestOffsets(KafkaOffsetReader.scala:171)
at org.apache.spark.sql.kafka010.KafkaSource$$anonfun$initialPartitionOffsets$1.apply(KafkaSource.scala:132)
at org.apache.spark.sql.kafka010.KafkaSource$$anonfun$initialPartitionOffsets$1.apply(KafkaSource.scala:129)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.kafka010.KafkaSource.initialPartitionOffsets$lzycompute(KafkaSource.scala:129)
at org.apache.spark.sql.kafka010.KafkaSource.initialPartitionOffsets(KafkaSource.scala:97)
at org.apache.spark.sql.kafka010.KafkaSource.getOffset(KafkaSource.scala:163)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$10$$anonfun$apply$6.apply(StreamExecution.scala:521)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$10$$anonfun$apply$6.apply(StreamExecution.scala:521)
at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:279)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$10.apply(StreamExecution.scala:520)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$10.apply(StreamExecution.scala:518)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$constructNextBatch(StreamExecution.scala:518)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$populateStartOffsets(StreamExecution.scala:492)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(StreamExecution.scala:297)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$apply$mcZ$sp$1.apply(StreamExecution.scala:294)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$apply$mcZ$sp$1.apply(StreamExecution.scala:294)
at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:279)
at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:294)
at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:290)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:206)
18/01/09 08:38:28 DEBUG NetworkClient: Node -5 disconnected.
18/01/09 08:38:28 WARN NetworkClient: Bootstrap broker kafka05-prod02.messagehub.services.eu-gb.bluemix.net:9093 disconnected
18/01/09 08:38:28 DEBUG ConsumerNetworkClient: Cancelled GROUP_COORDINATOR request ClientRequest(expectResponse=true, callback=org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient$RequestFutureCompletionHandler#4eacac4e, request=RequestSend(header={api_key=10,api_version=0,correlation_id=0,client_id=consumer-1}, body={group_id=spark-kafka-source-9a14bb54-8f1b-47db-8497-19c083128496--998588290-driver-0}), createdTimeMs=1515487108479, sendTimeMs=1515487108598) with correlation id 0 due to node -5 being disconnected
18/01/09 08:38:28 DEBUG NetworkClient: Sending metadata request {topics=[transactions_load]} to node -3
18/01/09 08:38:28 DEBUG Selector: Connection with kafka01-prod02.messagehub.services.eu-gb.bluemix.net/159.8.179.149 disconnected
java.io.EOFException
at org.apache.kafka.common.network.NetworkReceive.readFromReadableChannel(NetworkReceive.java:83)
at org.apache.kafka.common.network.NetworkReceive.readFrom(NetworkReceive.java:71)
<<repeated>>
I have seen the following similar questions:
Kafka Error in I/O java.io.EOFException: null - however, this question is for a much older version of Kafka
I understand that some of the output is just 'noise', however, my spark streaming application does not appear to be receiving any data. I have connected with a console client and I am able to see data.
Update 1 - I've tried configuring JaaS, but still getting the same error. The issue may be that the JaaS code needs to run on each worker node, but isn't getting run on them.
sc.setLogLevel("DEBUG")
def jaasClientConfig(username: String, password: String): Unit = {
import javax.security.auth.login.AppConfigurationEntry
import javax.security.auth.login.Configuration
import javax.security.auth.login.LoginException
import scala.collection.JavaConversions._
System.setProperty("java.security.auth.login.config", "")
Configuration.setConfiguration(new Configuration() {
def getAppConfigurationEntry(name: String): Array[AppConfigurationEntry] = {
val idMap = Map(
"serviceName" -> "kafka",
"username" -> username,
"password" -> password
)
val ace = new AppConfigurationEntry(
"org.apache.kafka.common.security.plain.PlainLoginModule",
AppConfigurationEntry.LoginModuleControlFlag.REQUIRED,
idMap
)
return Array(ace)
}
})
}
def startSparkStreaming(): Unit = {
import org.apache.spark.sql.functions._
import org.apache.spark.sql.SparkSession
val spark = SparkSession.builder.appName("StreamingRetailTransactions").getOrCreate()
import spark.implicits._
val df = spark.readStream.
format("kafka").
option("kafka.bootstrap.servers", "kafka03-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka04-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka01-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka02-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka05-prod02.messagehub.services.eu-gb.bluemix.net:9093").
option("subscribe", "transactions_load").
option("security.protocol", "SASL_SSL").
option("sasl.mechanism", "PLAIN").
option("ssl.protocol", "TLSv1.2").
option("ssl.enabled.protocols", "TLSv1.2").
option("ssl.endpoint.identification.algorithm", "HTTPS").
option("auto.offset.reset","earliest").
option("group.id", System.currentTimeMillis).
load()
val query = df.writeStream.format("console").start()
}
jaasClientConfig("****","****")
startSparkStreaming()
Update 2
I've also tried with a jaas.conf:
~/spark-2.2.1-bin-hadoop2.7$ ./bin/spark-shell --packages org.apache.spark:spark-sql-kafka-0-10_2.11:2.2.0 --conf "spark.executor.extraJavaOptions=-Djava.security.auth.login.conf=jaas.conf" --files "jaas.conf"
and ...
KafkaClient {
org.apache.kafka.common.security.plain.PlainLoginModule required
username="*****"
password="*****";
}
Still the same problem ...

Answer 1

First I needed to run spark-shell with --conf that points the executor and driver to my jaas.conf:
./bin/spark-shell --master local[1] \
--jars external/kafka-0-10-sql/target/spark-sql-kafka-0-10_2.11-2.2.2-SNAPSHOT.jar,external/kafka-0-10-assembly/target/spark-streaming-kafka-0-10-assembly_2.11-2.2.2-SNAPSHOT.jar \
--conf "spark.driver.extraJavaOptions=-Djava.security.auth.login.config=/path/to/jaas.conf" \
--conf "spark.executor.extraJavaOptions=-Djava.security.auth.login.config=/path/to/jaas.conf" \
--num-executors 1 --executor-cores 1
Next I had to add some kafka options:
val df = spark.readStream.
format("kafka").
option("kafka.bootstrap.servers", "kafka03-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka04-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka01-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka02-prod02.messagehub.services.eu-gb.bluemix.net:9093,kafka05-prod02.messagehub.services.eu-gb.bluemix.net:9093").
option("subscribe", "transactions_load").
option("kafka.security.protocol", "SASL_SSL").
option("kafka.sasl.mechanism", "PLAIN").
option("kafka.ssl.protocol", "TLSv1.2").
option("kafka.ssl.enabled.protocols", "TLSv1.2").
load()
Note that the kafka options need to be prefixed with kafka., for example:
security.protocol => kafka.security.protocol
These changes solved the connectivity issue for me.

Answer 2

This appears to be a failed authentication. At the current MH version of Kafka the server just closes the connection when authentication fails

Answer 3

the "sasl.jaas.config" setting is used in the Kafka client from version 0.10.2
the Kafka client used by Spark 2.2.1 is 0.10.0 so authentication fails as suspected.
you can use the java.security.auth.login.config system property to specify a jaas file
Alternatively you can programmatically set the credentials for the client with a snippet like this
public static void jaasClientConfig(final String username, final String password) throws Exception {
System.setProperty("java.security.auth.login.config", "");
Configuration.setConfiguration(new Configuration() {
public AppConfigurationEntry[] getAppConfigurationEntry(String name) {
HashMap<String, String> idMap = new HashMap<>();
idMap.put("serviceName", "kafka"); // Seems to be optional
idMap.put("username", username);
idMap.put("password", password);
AppConfigurationEntry ace = new AppConfigurationEntry("org.apache.kafka.common.security.plain.PlainLoginModule",
AppConfigurationEntry.LoginModuleControlFlag.REQUIRED, idMap);
AppConfigurationEntry[] entry = { ace };
return entry;
}
});
}