how to read messages in kafka using Spark Scala API - scala

I am unable to receive messages in msgItr where as in command promt using kafka commands i am able to see the messages in partition. please let me know what is going on here. what should i do get the messages.
I tried to print but nothing prints. May be because it is an RDD and it is printing something on the executor node.
val ssc = new StreamingContext(conf, Seconds(props.getProperty("spark.streaming.batchDuration").toInt))
val topics = Set(props.getProperty("kafkaConf.topic"))
// TODO: Externalize StorageLevel to props file
val storageLevel: StorageLevel = StorageLevel.MEMORY_AND_DISK_SER_2
//"zookeeper.connect" -> "fepp-cdhmn-d2.fepoc.com"
val kafkaParams = Map[String, Object](
// the usual params, make sure to change the port in bootstrap.servers if 9092 is not TLS
"zookeeper.connect" -> props.getProperty("kafkaConf.zookeeper.connect"),
"bootstrap.servers" -> props.getProperty("kafkaConf.bootstrap.servers"),
"group.id" -> props.getProperty("kafkaConf.group.id"),
"zookeeper.connection.timeout.ms" -> props.getProperty("kafkaConf.zookeeper.connection.timeout.ms"),
"security.protocol" -> props.getProperty("kafkaConf.security.protocol"),
"ssl.protocol" -> props.getProperty("kafkaConf.ssl.protocol"),
"ssl.keymanager.algorithm" -> props.getProperty("kafkaConf.ssl.keymanager.algorithm"),
"ssl.enabled.protocols" -> props.getProperty("kafkaConf.ssl.enabled.protocols"),
"ssl.truststore.type" -> props.getProperty("kafkaConf.ssl.truststore.type"),
"ssl.keystore.type" -> props.getProperty("kafkaConf.ssl.keystore.type"),
"ssl.truststore.location" -> props.getProperty("kafkaConf.ssl.truststore.location"),
"ssl.truststore.password" -> props.getProperty("kafkaConf.ssl.truststore.password"),
"ssl.keystore.location" -> props.getProperty("kafkaConf.ssl.keystore.location"),
"ssl.keystore.password" -> props.getProperty("kafkaConf.ssl.keystore.password"),
"ssl.key.password" -> props.getProperty("kafkaConf.ssl.key.password"),
"key.deserializer" -> classOf[StringDeserializer],
"value.deserializer" -> classOf[StringDeserializer],
"auto.offset.reset" -> props.getProperty("kafkaConf.auto.offset.reset"),
"enable.auto.commit" -> (props.getProperty("kafkaConf.enable.auto.commit").toBoolean: java.lang.Boolean),
"key.serializer" -> "org.apache.kafka.common.serialization.StringSerializer",
"value.serializer" -> "org.apache.kafka.common.serialization.StringSerializer"
//"heartbeat.interval.ms" -> props.getProperty("kafkaConf.heartbeat.interval.ms"),
//"session.timeout.ms" -> props.getProperty("kafkaConf.session.timeout.ms")
)
// Must use the direct api as the old api does not support SSL
log.debug("Creating direct kafka stream")
val kafkaStream = KafkaUtils.createDirectStream[String, String](ssc, PreferConsistent,
Subscribe[String, String](topics, kafkaParams))
val res = kafkaStream.foreachRDD((kafkaRdd: RDD[ConsumerRecord[String, String]]) => {
val numPartitions = kafkaRdd.getNumPartitions
log.info(s"Processing RDD with '$numPartitions' partitions.")
// Only one partition for the kafka topic is supported at this time
if (numPartitions != 1) {
throw new RuntimeException("Kafka topic must have 1 partition")
}
val offsetRanges = kafkaRdd.asInstanceOf[HasOffsetRanges].offsetRanges
kafkaRdd.foreachPartition((msgItr: Iterator[ConsumerRecord[String, String]]) => {
val log = LogManager.getRootLogger()
msgItr.foreach((kafkaMsg: ConsumerRecord[String, String]) => {
// Hbase connection Fails here. because of authentication with below error
2018-09-19 15:28:01 INFO ZooKeeper:100 - Client environment:user.home=/home/service_account
2018-09-19 15:28:01 INFO ZooKeeper:100 - Client environment:user.dir=/data/09/yarn/nm/usercache/service_account/appcache/application_1536891989660_9297/container_e208_1536891989660_9297_01_000002
2018-09-19 15:28:01 INFO ZooKeeper:438 - Initiating client connection, connectString=depp-cdhmn-d1.domnnremvd.com:2181,depp-cdhmn-d2.domnnremvd.com:2181,depp-cdhmn-d3.domnnremvd.com:2181 sessionTimeout=90000 watcher=hconnection-0x16648f570x0, quorum=depp-cdhmn-d1.domnnremvd.com:2181,depp-cdhmn-d2.domnnremvd.com:2181,depp-cdhmn-d3.domnnremvd.com:2181, baseZNode=/hbase
2018-09-19 15:28:01 INFO ClientCnxn:975 - Opening socket connection to server depp-cdhmn-d3.domnnremvd.com/999.99.999.777:2181. Will not attempt to authenticate using SASL (unknown error)
2018-09-19 15:28:01 INFO ClientCnxn:852 - Socket connection established, initiating session, client: /999.99.999.999:33314, server: depp-cdhmn-d3.domnnremvd.com/999.99.999.777:2181
2018-09-19 15:28:01 INFO ClientCnxn:1235 - Session establishment complete on server depp-cdhmn-d3.domnnremvd.com/999.99.999.777:2181, sessionid = 0x365cb965ff33958, negotiated timeout = 60000
false
false
2018-09-19 15:28:02 WARN UserGroupInformation:1923 - PriviledgedActionException as:service_account (auth:SIMPLE) cause:javax.security.sasl.SaslException: GSS initiate failed [Caused by GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)]
2018-09-19 15:28:02 WARN RpcClientImpl:675 - Exception encountered while connecting to the server : javax.security.sasl.SaslException: GSS initiate failed [Caused by GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)]
2018-09-19 15:28:02 ERROR RpcClientImpl:685 - SASL authentication failed. The most likely cause is missing or invalid credentials. Consider 'kinit'.
javax.security.sasl.SaslException: GSS initiate failed [Caused by GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)]
at com.sun.security.sasl.gsskerb.GssKrb5Client.evaluateChallenge(GssKrb5Client.java:211)
at org.apache.hadoop.hbase.security.HBaseSaslRpcClient.saslConnect(HBaseSaslRpcClient.java:181)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.setupSaslConnection(RpcClientImpl.java:618)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.access$700(RpcClientImpl.java:163)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection$2.run(RpcClientImpl.java:744)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection$2.run(RpcClientImpl.java:741)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1920)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.setupIOstreams(RpcClientImpl.java:741)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.writeRequest(RpcClientImpl.java:907)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.tracedWriteRequest(RpcClientImpl.java:874)
at org.apache.hadoop.hbase.ipc.RpcClientImpl.call(RpcClientImpl.java:1243)
at org.apache.hadoop.hbase.ipc.AbstractRpcClient.callBlockingMethod(AbstractRpcClient.java:227)
at org.apache.hadoop.hbase.ipc.AbstractRpcClient$BlockingRpcChannelImplementation.callBlockingMethod(AbstractRpcClient.java:336)
at org.apache.hadoop.hbase.protobuf.generated.MasterProtos$MasterService$BlockingStub.isMasterRunning(MasterProtos.java:58383)
at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation$MasterServiceStubMaker.isMasterRunning(ConnectionManager.java:1712)
at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation$StubMaker.makeStubNoRetries(ConnectionManager.java:1650)
at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation$StubMaker.makeStub(ConnectionManager.java:1672)
at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation$MasterServiceStubMaker.makeStub(ConnectionManager.java:1701)
at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.getKeepAliveMasterService(ConnectionManager.java:1858)
at org.apache.hadoop.hbase.client.MasterCallable.prepare(MasterCallable.java:38)
at org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:134)
at org.apache.hadoop.hbase.client.HBaseAdmin.executeCallable(HBaseAdmin.java:4313)
at org.apache.hadoop.hbase.client.HBaseAdmin.executeCallable(HBaseAdmin.java:4305)
at org.apache.hadoop.hbase.client.HBaseAdmin.listTableNames(HBaseAdmin.java:533)
at org.apache.hadoop.hbase.client.HBaseAdmin.listTableNames(HBaseAdmin.java:517)
at com.company.etl.HbaseConnect.mainMethod(HbaseConnect.scala:39)
at com.company.etl.App$$anonfun$1$$anonfun$apply$2$$anonfun$apply$3.apply(App.scala:205)
at com.company.etl.App$$anonfun$1$$anonfun$apply$2$$anonfun$apply$3.apply(App.scala:178)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.foreach(KafkaRDD.scala:189)
at com.company.etl.App$$anonfun$1$$anonfun$apply$2.apply(App.scala:178)
at com.company.etl.App$$anonfun$1$$anonfun$apply$2.apply(App.scala:161)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:926)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: GSSException: No valid credentials provided (Mechanism level: Failed to find any Kerberos tgt)
at sun.security.jgss.krb5.Krb5InitCredential.getInstance(Krb5InitCredential.java:147)
at sun.security.jgss.krb5.Krb5MechFactory.getCredentialElement(Krb5MechFactory.java:122)
at sun.security.jgss.krb5.Krb5MechFactory.getMechanismContext(Krb5MechFactory.java:187)
at sun.security.jgss.GSSManagerImpl.getMechanismContext(GSSManagerImpl.java:224)
at sun.security.jgss.GSSContextImpl.initSecContext(GSSContextImpl.java:212)
at sun.security.jgss.GSSContextImpl.initSecContext(GSSContextImpl.java:179)
at com.sun.security.sasl.gsskerb.GssKrb5Client.evaluateChallenge(GssKrb5Client.java:192)
... 43 more

It's because of kerberos authentications.
Set System Properties.
System.setProperty("java.security.auth.login.config","/your/conf/directory/kafkajaas.conf");
System.setProperty("sun.security.jgss.debug","true");
System.setProperty("javax.security.auth.useSubjectCredsOnly","false");
System.setProperty("java.security.krb5.conf", "/your/krb5/conf/directory/krb5.conf");
You can read data from Cloudera Kafka. (Producer)
val df = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", "xx.xx.xx.xx:9092")
.option("subscribe", "test")
.option("kafka.security.protocol","SASL_PLAINTEXT")
.option("kafka.sasl.kerberos.service.name","kafka")
You can write data to Cloudera Kafka topic (Consumer)
val query = blacklistControl.select(to_json(struct("Column1","Column2")).alias("value"))
.writeStream
.format("kafka")
.option("checkpointLocation", "/your/empty/directory")
.option("kafka.bootstrap.servers", "xx.xx.xx.xx:9092")
.option("kafka.security.protocol","SASL_PLAINTEXT")
.option("kafka.sasl.kerberos.service.name","kafka")
.option("topic", "topic_xdr")
.start()

i faced exactly the same issue. What is happening is the executor node is trying to write to hbase and doesnt have the credentials . What you need to do is pass the keytab file to the executors and explicitly call the KDC authentication WITH In THe executor block
UserGroupInformation.loginUserFromKeytab("hdfs-user#MYCORP.NET",
"/home/hdfs-user/hdfs-user.keytab");

From the stacktrace, it looks like the kafka is authenticated with sasl.
The supported SASL mechanims are:
GSSAPI (Kerberos)
OAUTHBEARER
SCRAM
PLAIN
From your stacktrace, kafka is configured using GSSAPI and you need to
authenticate accordingly. You are authenticating for SSL and not
SASL. Check the this link for steps to authenticate.

Related

How can I skip ssl.truststore.password property while reading from Kafka using Spark Structured streaming?

I am trying to read from Kafka and write to Kudu Sink using Spark Structured Streaming.
Below is the code for read and write.
I am using Spark 2.2.0.
val kafkaDataFrame = spark
.readStream
.format("org.apache.spark.sql.kafka010.KafkaSourceProvider")
.option("kafka.bootstrap.servers", kafkaReaderConfig.kafka_brokers)
.option("kafka.security.protocol", "SASL_SSL")
.option("kafka.sasl.mechanism" , "GSSAPI")
.option("kafka.ssl.truststore.location", kafkaReaderConfig.trust_jks_file_path)
.option("kafka.sasl.jaas.config", jaas_config_str)
.option("subscribe", kafkaReaderConfig.topics_set)
.load()
.selectExpr("CAST(value AS STRING) as value")
//After Transformation
dfStrm.writeStream
.option("checkpointLocation",path)
.trigger(Trigger.ProcessingTime("10 seconds"))
.foreach(new KuduStreamWriter(tconfig))
.outputMode("append")
.start()
.awaitTermination()
})
But getting the below exceptions:
20/05/07 10:59:00 INFO authenticator.AbstractLogin: Successfully logged in.
20/05/07 10:59:00 INFO kerberos.KerberosLogin: TGT refresh thread started.
20/05/07 10:59:00 INFO kerberos.KerberosLogin: TGT valid starting at: Thu May 07 10:58:17 UTC 2020
20/05/07 10:59:00 INFO kerberos.KerberosLogin: TGT expires: Thu May 07 20:58:16 UTC 2020
20/05/07 10:59:00 INFO kerberos.KerberosLogin: TGT refresh sleeping until: Thu May 07 19:25:22 UTC 2020
20/05/07 10:59:00 ERROR streaming.StreamExecution: Query [id = 6d08d948-6c28-4282-b108-eac99c62e253, runId = 94d599d9-b7a1-4cdc-937f-8d98390fb509] terminated with error
org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:702)
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:557)
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:540)
at org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:62)
at org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:297)
at org.apache.spark.sql.kafka010.KafkaOffsetReader.<init>(KafkaOffsetReader.scala:78)
at org.apache.spark.sql.kafka010.KafkaSourceProvider.createSource(KafkaSourceProvider.scala:88)
at org.apache.spark.sql.execution.datasources.DataSource.createSource(DataSource.scala:243)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2$$anonfun$applyOrElse$1.apply(StreamExecution.scala:158)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2$$anonfun$applyOrElse$1.apply(StreamExecution.scala:155)
at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2.applyOrElse(StreamExecution.scala:155)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2.applyOrElse(StreamExecution.scala:153)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
.
.
.
org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)
at org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:304)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:272)
at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:256)
at org.apache.spark.sql.execution.streaming.StreamExecution.logicalPlan$lzycompute(StreamExecution.scala:153)
at org.apache.spark.sql.execution.streaming.StreamExecution.logicalPlan(StreamExecution.scala:147)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:276)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:206)
Caused by: org.apache.kafka.common.KafkaException: org.apache.kafka.common.KafkaException: SSL trust store is specified, but trust store password is not specified.
at org.apache.kafka.common.network.SaslChannelBuilder.configure(SaslChannelBuilder.java:86)
at org.apache.kafka.common.network.ChannelBuilders.create(ChannelBuilders.java:70)
at org.apache.kafka.clients.ClientUtils.createChannelBuilder(ClientUtils.java:83)
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:623)
... 370 more
Caused by: org.apache.kafka.common.KafkaException: SSL trust store is specified, but trust store password is not specified.
at org.apache.kafka.common.security.ssl.SslFactory.createTruststore(SslFactory.java:195)
at org.apache.kafka.common.security.ssl.SslFactory.configure(SslFactory.java:115)
at org.apache.kafka.common.network.SaslChannelBuilder.configure(SaslChannelBuilder.java:83)
... 373 more
Q.1 Is there any way I can skip the the truststore.password property while reading from Kafka? (We don not have the password and also we do not need the password to work with Kafka)
Any suggestions or workarounds ?
First of all I recommend you to update the version to 2.4.5
If you don't need SSL then don't set it.
val kafkaDataFrame = spark
.readStream
.format("kafka")
.option("kafka.bootstrap.servers", kafkaReaderConfig.kafka_brokers)
.option("subscribe", kafkaReaderConfig.topics_set)
.load()
.selectExpr("CAST(value AS STRING) as value")

Kafka java.io.EOFException - NetworkReceive.readFromReadableChannel

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

Failed to construct kafka consumer

There are quite a few answers on this topic but nothing was working.
I am trying to execute the following streams processor.
object simplestream extends App {
val builder: KStreamBuilder = new KStreamBuilder
val streamingConfig = { //ToDo - Move these to config
val settings = new Properties
settings.put(StreamsConfig.APPLICATION_ID_CONFIG, "example11")
settings.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092")
// Specify default (de)serializers for record keys and for record values.
settings.put(StreamsConfig.KEY_SERDE_CLASS_CONFIG, Serdes.String.getClass.getName)
settings.put(StreamsConfig.VALUE_SERDE_CLASS_CONFIG, Serdes.ByteArray.getClass.getName)
settings
}
val users = builder.stream("tt2")
users.print()
val stream: KafkaStreams = new KafkaStreams(builder, streamingConfig)
stream.start()
}
}
Dependencies:
//kafka
"org.apache.kafka" % "kafka-streams" % "0.10.2.0",
"org.apache.kafka" % "kafka-clients" % "0.10.2.0"
And the error:
[error] (run-main-1) org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:717)
at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:566)
at org.apache.kafka.streams.processor.internals.DefaultKafkaClientSupplier.getConsumer(DefaultKafkaClientSupplier.java:38)
at org.apache.kafka.streams.processor.internals.StreamThread.<init>(StreamThread.java:323)
at org.apache.kafka.streams.KafkaStreams.<init>(KafkaStreams.java:349)
at org.apache.kafka.streams.KafkaStreams.<init>(KafkaStreams.java:272)
at kafka.simplestream$.runStream(simplestream.scala:36)
at kafka.simplestream$.delayedEndpoint$kafka$simplestream$1(simplestream.scala:40)
at kafka.simplestream$delayedInit$body.apply(simplestream.scala:12)
at scala.Function0.apply$mcV$sp(Function0.scala:34)
at scala.Function0.apply$mcV$sp$(Function0.scala:34)
at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
at scala.App.$anonfun$main$1$adapted(App.scala:76)
at scala.collection.immutable.List.foreach(List.scala:378)
at scala.App.main(App.scala:76)
at scala.App.main$(App.scala:74)
at kafka.simplestream$.main(simplestream.scala:12)
at kafka.simplestream.main(simplestream.scala)
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)
Caused by: java.lang.NoSuchMethodError: org.apache.kafka.clients.Metadata.update(Lorg/apache/kafka/common/Cluster;J)V
I've tried different client versions, no luck. I am using kafka 0.10.2.0 version. I also get below error in zookeeper.
[2017-08-18 13:08:10,260] INFO Got user-level KeeperException when processing sessionid:0x15df53e101e0001 type:delete cxid:0x29 zxid:0x4d txntype:-1 reqpath:n/a Error Path:/admin/preferred_replica_election Error:KeeperErrorCode = NoNode for /admin/preferred_replica_election (org.apache.zookeeper.server.PrepRequestProcessor)
[2017-08-18 13:08:10,364] INFO Got user-level KeeperException when processing sessionid:0x15df53e101e0001 type:create cxid:0x35 zxid:0x4e txntype:-1 reqpath:n/a Error Path:/brokers Error:KeeperErrorCode = NodeExists for /brokers (org.apache.zookeeper.server.PrepRequestProcessor)
[2017-08-18 13:08:10,364] INFO Got user-level KeeperException when processing sessionid:0x15df53e101e0001 type:create cxid:0x36 zxid:0x4f txntype:-1 reqpath:n/a Error Path:/brokers/ids Error:KeeperErrorCode = NodeExists for /brokers/ids (org.apache.zookeeper.server.PrepRequestProcessor)
Not sure what is exactly causing it. I am able to consumer/produce just fine though.
java.lang.NoSuchMethodError - This error happens when multiple versions of the client jar is available in your classpath. Check your classpath once.
The KeeperException thrown by the zookeeper is not an issue, it's just creating the nodes / folders which doesn't exists in the Zookeeper.

KafkaSpout tuple replay throws null pointer exception

I am using storm 1.0.1 and Kafka 0.10.0.0 with storm-kafka-client 1.0.3.
please find the code config I have below.
kafkaConsumerProps.put(KafkaSpoutConfig.Consumer.KEY_DESERIALIZER, "org.apache.kafka.common.serialization.ByteArrayDeserializer");
kafkaConsumerProps.put(KafkaSpoutConfig.Consumer.VALUE_DESERIALIZER, "org.apache.kafka.common.serialization.ByteArrayDeserializer");
KafkaSpoutStreams kafkaSpoutStreams = new KafkaSpoutStreamsNamedTopics.Builder(new Fields(fieldNames), topics)
.build();
KafkaSpoutRetryService retryService = new KafkaSpoutRetryExponentialBackoff(TimeInterval.microSeconds(500),
TimeInterval.milliSeconds(2), Integer.MAX_VALUE, TimeInterval.seconds(10));
KafkaSpoutTuplesBuilder tuplesBuilder = new KafkaSpoutTuplesBuilderNamedTopics.Builder(new TestTupleBuilder(topics))
.build();
KafkaSpoutConfig kafkaSpoutConfig = new KafkaSpoutConfig.Builder<String, String>(kafkaConsumerProps, kafkaSpoutStreams, tuplesBuilder, retryService)
.setOffsetCommitPeriodMs(10_000)
.setFirstPollOffsetStrategy(LATEST)
.setMaxRetries(5)
.setMaxUncommittedOffsets(250)
.build();
When I fail the tuple its not getting replayed. Spout throws below error.
Please let me know why it's throwing nullpointer exception.
53501 [Thread-359-test-spout-executor[295 295]] ERROR o.a.s.util - Async loop died!
java.lang.NullPointerException
at org.apache.storm.kafka.spout.KafkaSpout.doSeekRetriableTopicPartitions(KafkaSpout.java:260) ~[storm-kafka-client-1.0.3.jar:1.0.3]
at org.apache.storm.kafka.spout.KafkaSpout.pollKafkaBroker(KafkaSpout.java:248) ~[storm-kafka-client-1.0.3.jar:1.0.3]
at org.apache.storm.kafka.spout.KafkaSpout.nextTuple(KafkaSpout.java:203) ~[storm-kafka-client-1.0.3.jar:1.0.3]
at org.apache.storm.daemon.executor$fn__7885$fn__7900$fn__7931.invoke(executor.clj:645) ~[storm-core-1.0.1.jar:1.0.1]
at org.apache.storm.util$async_loop$fn__625.invoke(util.clj:484) [storm-core-1.0.1.jar:1.0.1]
at clojure.lang.AFn.run(AFn.java:22) [clojure-1.8.0.jar:?]
at java.lang.Thread.run(Thread.java:745) [?:1.8.0_102]
53501 [Thread-359-test-spout-executor[295 295]] ERROR o.a.s.d.executor -
java.lang.NullPointerException
at org.apache.storm.kafka.spout.KafkaSpout.doSeekRetriableTopicPartitions(KafkaSpout.java:260) ~[storm-kafka-client-1.0.3.jar:1.0.3]
at org.apache.storm.kafka.spout.KafkaSpout.pollKafkaBroker(KafkaSpout.java:248) ~[storm-kafka-client-1.0.3.jar:1.0.3]
at org.apache.storm.kafka.spout.KafkaSpout.nextTuple(KafkaSpout.java:203) ~[storm-kafka-client-1.0.3.jar:1.0.3]
at org.apache.storm.daemon.executor$fn__7885$fn__7900$fn__7931.invoke(executor.clj:645) ~[storm-core-1.0.1.jar:1.0.1]
at org.apache.storm.util$async_loop$fn__625.invoke(util.clj:484) [storm-core-1.0.1.jar:1.0.1]
at clojure.lang.AFn.run(AFn.java:22) [clojure-1.8.0.jar:?]
at java.lang.Thread.run(Thread.java:745) [?:1.8.0_102]
53527 [Thread-359-test-spout-executor[295 295]] ERROR o.a.s.util - Halting process: ("Worker died")
java.lang.RuntimeException: ("Worker died")
at org.apache.storm.util$exit_process_BANG_.doInvoke(util.clj:341) [storm-core-1.0.1.jar:1.0.1]
at clojure.lang.RestFn.invoke(RestFn.java:423) [clojure-1.8.0.jar:?]
at org.apache.storm.daemon.worker$fn__8554$fn__8555.invoke(worker.clj:761) [storm-core-1.0.1.jar:1.0.1]
at org.apache.storm.daemon.executor$mk_executor_data$fn__7773$fn__7774.invoke(executor.clj:271) [storm-core-1.0.1.jar:1.0.1]
at org.apache.storm.util$async_loop$fn__625.invoke(util.clj:494) [storm-core-1.0.1.jar:1.0.1]
at clojure.lang.AFn.run(AFn.java:22) [clojure-1.8.0.jar:?]
at java.lang.Thread.run(Thread.java:745) [?:1.8.0_102]
Please find the complete spout configs below
{key.deserializer=org.apache.kafka.common.serialization.ByteArrayDeserializer, value.deserializer=org.apache.kafka.common.serialization.ByteArrayDeserializer, group.id=test-group, ssl.keystore.location=C:/test.jks, bootstrap.servers=localhost:1000, auto.commit.interval.ms=1000, security.protocol=SSL, enable.auto.commit=true, ssl.truststore.location=C:/test1.jks, ssl.keystore.password=pass123, ssl.key.password=pass123, ssl.truststore.password=pass123, session.timeout.ms=30000, auto.offset.reset=latest}
Storm 1.0.1 consists of storm-kafka-client in beta quality. We have fixed few issues and more stable version is available in Storm 1.1 release and can be used against Kafka 0.10 onwards.
In your topology you can make dependency against storm-kafka-client version 1.1 and kafka-clients dependency with appropriate version. You don't need to upgrade storm cluster itself.
I had enable.auto.commit=true making the value as false resolved the issue for me.

akka-http no stack trace or details on error

I got a structure which can basically be summarized as:
outside user makes a rest request to akka-http server
akka-http makes a request(query?) to a (some)data source using asynchttpclient
akka-http transforms the result from asynchttpclient and serves it back to user
At some point I am getting an error from akka which tells me almost nothing. This error happens right after the asynchttpclient returns me some results. (I can infact at this point print the results on the log, they are there parsed from json etc.. but akka had already errored out)
Even in debug logging level I got no decipherable error message from akka or a stacktrace.
only message I got is:
2017-03-24 17:22:55 INFO CompanyRepository:111 - search company with name:"somecompanyname"
2017-03-24 17:22:55 INFO CompanyRepository:73 - [QUERY TIME]: 527ms
[ERROR] [03/24/2017 17:22:55.951] [company-api-system-akka.actor.default-dispatcher-3] [akka.actor.ActorSystemImpl(company-api-system)] Error during processing of request: 'requirement failed'. Completing with 500 Internal Server Error response.
This error message is the only thing I get. Relevant parts of my config:
akka {
loglevel = "DEBUG"
# edit -- tested with sl4jlogger with no change
#loggers = ["akka.event.slf4j.Slf4jLogger"]
#logging-filter = "akka.event.slf4j.Slf4jLoggingFilter"
parsing {
max-content-length = 800m
max-chunk-size = 100m
}
server {
server-header = akka-http/${akka.http.version}
idle-timeout = 120 s
request-timeout = 120 s
bind-timeout = 10s
max-connections = 1024
pipelining-limit = 32
verbose-error-messages = on
}
client {
user-agent-header = akka-http/${akka.http.version}
}
host-connection-pool {
max-connections = 4
}
}
akka.http.routing {
verbose-error-messages = on
}
Anyone knows if I can make akka to spit out more details about what/where the error is occurring?
Edit: I realized I do NOT get this same error on resultsets which are smaller in size. <- ignore
Edit 2:
Added akka.loglevel = DEBUG, spits out a lot more noise but still not detail about the actual error.
Converted asynchttpclient to akka quickly to rule out AHC
I already had a wrapper around my query to time it, added some logging there trying to pinpoint when exactly the error is happening.
def queryTimer[ R <: Future[ Any ] ]( block: => R ): R = {
val t0 = System.currentTimeMillis()
val result = block
result.onComplete { maybeResult =>
val t1 = System.currentTimeMillis()
logger.info( "[QUERY TIME]: " + ( t1 - t0 ) + "ms" )
maybeResult match {
case Success(some) =>
logger.info( "successful feature:")
logger.info( FormattedString.prettyPrint(some))
case Failure(someFailure) =>
logger.info( "failed feature:")
logger.debug( FormattedString.prettyPrint(someFailure))
}
}
result
}
resulting log:
2017-03-28 13:19:10 INFO CompanyRepository:111 - search company with name:"some company"
[DEBUG] [03/28/2017 13:19:10.497] [company-api-system-akka.actor.default-dispatcher-2] [EventStream(akka://xca-api-actor-system)] logger log1-Logging$DefaultLogger started
[DEBUG] [03/28/2017 13:19:10.497] [company-api-system-akka.actor.default-dispatcher-2] [EventStream(akka://xca-api-actor-system)] Default Loggers started
[DEBUG] [03/28/2017 13:19:10.613] [company-api-system-akka.actor.default-dispatcher-2] [AkkaSSLConfig(akka://xca-api-actor-system)] Initializing AkkaSSLConfig extension...
[DEBUG] [03/28/2017 13:19:10.613] [company-api-system-akka.actor.default-dispatcher-2] [AkkaSSLConfig(akka://xca-api-actor-system)] buildHostnameVerifier: created hostname verifier: com.typesafe.sslconfig.ssl.DefaultHostnameVerifier#779e2339
[DEBUG] [03/28/2017 13:19:10.633] [xca-api-actor-system-akka.actor.default-dispatcher-3] [akka://xca-api-actor-system/user/pool-master/PoolInterfaceActor-0] (Re-)starting host connection pool to localhost:27474
[DEBUG] [03/28/2017 13:19:10.727] [xca-api-actor-system-akka.actor.default-dispatcher-3] [akka://xca-api-actor-system/system/IO-TCP/selectors/$a/0] Resolving localhost before connecting
[DEBUG] [03/28/2017 13:19:10.740] [xca-api-actor-system-akka.actor.default-dispatcher-4] [akka://xca-api-actor-system/system/IO-DNS] Resolution request for localhost from Actor[akka://xca-api-actor-system/system/IO-TCP/selectors/$a/0#-815754478]
[DEBUG] [03/28/2017 13:19:10.749] [xca-api-actor-system-akka.actor.default-dispatcher-4] [akka://xca-api-actor-system/system/IO-TCP/selectors/$a/0] Attempting connection to [localhost/127.0.0.1:27474]
[DEBUG] [03/28/2017 13:19:10.751] [xca-api-actor-system-akka.actor.default-dispatcher-4] [akka://xca-api-actor-system/system/IO-TCP/selectors/$a/0] Connection established to [localhost:27474]
2017-03-28 13:19:10 INFO CompanyRepository:73 - [QUERY TIME]: 376ms
2017-03-28 13:19:10 INFO CompanyRepository:77 - successful feature:
[ERROR] [03/28/2017 13:19:10.896] [company-api-system-akka.actor.default-dispatcher-7] [akka.actor.ActorSystemImpl(company-api-system)] Error during processing of request: 'requirement failed'. Completing with 500 Internal Server Error response.
2017-03-28 13:19:10 INFO CompanyRepository:78 - SearchResult(List(
( prettyprint output here!!! lots and lots of legit result, json parsed succcesfully into a bunch of case classes)
as you can see my logging format and akkas' are different, the ERROR is coming from akka with do details, while everything looks like working.
Edit 3: logs with sleep in between calls
new query timer function with sleeps
def queryTimer[ R <: Future[ Any ] ]( block: => R ): R = {
val t0 = System.currentTimeMillis()
val result = block
result.onComplete { maybeResult =>
val t1 = System.currentTimeMillis()
logger.info( "[QUERY TIME]: " + ( t1 - t0 ) + "ms" )
maybeResult match {
case Success(some) =>
Thread.sleep(500)
logger.info( "successful feature:")
Thread.sleep(500)
logger.info( FormattedString.prettyPrint(some))
Thread.sleep(500)
logger.info("we are there!")
case Failure(someFailure) =>
logger.info( "failed feature:")
logger.debug( FormattedString.prettyPrint(someFailure))
}
}
result
}
logs with sleeps
[DEBUG] [03/30/2017 11:11:58.629] [xca-api-actor-system-akka.actor.default-dispatcher-7] [akka://xca-api-actor-system/system/IO-TCP/selectors/$a/0] Attempting connection to [localhost/127.0.0.1:27474]
[DEBUG] [03/30/2017 11:11:58.631] [xca-api-actor-system-akka.actor.default-dispatcher-7] [akka://xca-api-actor-system/system/IO-TCP/selectors/$a/0] Connection established to [localhost:27474]
11:11:59.442 [pool-2-thread-1] DEBUG o.a.netty.channel.DefaultChannelPool - Closed 0 connections out of 0 in 0 ms
11:11:59.496 [pool-1-thread-1] DEBUG o.a.netty.channel.DefaultChannelPool - Closed 0 connections out of 0 in 0 ms
11:12:00.250 [ForkJoinPool-2-worker-15] INFO c.s.s.r.neo4j.CompanyRepository - [QUERY TIME]: 1880ms
[ERROR] [03/30/2017 11:12:00.265] [company-api-system-akka.actor.default-dispatcher-3] [akka.actor.ActorSystemImpl(company-api-system)] Error during processing of request: 'requirement failed'. Completing with 500 Internal Server Error response.
11:12:00.543 [pool-2-thread-1] DEBUG o.a.netty.channel.DefaultChannelPool - Closed 0 connections out of 0 in 0 ms
11:12:00.597 [pool-1-thread-1] DEBUG o.a.netty.channel.DefaultChannelPool - Closed 0 connections out of 0 in 0 ms
11:12:00.752 [ForkJoinPool-2-worker-15] INFO c.s.s.r.neo4j.CompanyRepository - successful feature:
11:12:01.645 [pool-2-thread-1] DEBUG o.a.netty.channel.DefaultChannelPool - Closed 0 connections out of 0 in 0 ms
11:12:01.697 [pool-1-thread-1] DEBUG o.a.netty.channel.DefaultChannelPool - Closed 0 connections out of 0 in 0 ms
11:12:01.750 [ForkJoinPool-2-worker-15] INFO c.s.s.r.neo4j.CompanyRepository - SearchResult(List( "lots of legit result here"
11:12:02.281 [ForkJoinPool-2-worker-15] INFO c.s.s.r.neo4j.CompanyRepository - we are there!
Edit 4 and solution!
Apparently the default exception handler does not print a stack trace! overriding the exception handler with a very basic catch all:
implicit def myExceptionHandler: ExceptionHandler =
ExceptionHandler {
case e: Exception => {
logger.info("---------------- exception log start")
logger.error(e.getMessage, e)
logger.error("cause" , e.getCause)
logger.error("cause" , e.getStackTraceString )
logger.info( FormattedString.prettyPrint(e))
logger.info("---------------- exception log end")
Directives.complete("server made a boo boo")
}
}
results in a stack trace that befuddles the sh*t out of me!!
11:42:04.634 [company-api-system-akka.actor.default-dispatcher-2] INFO c.stepweb.scarifgate.CompanyApiApp$ - ---------------- exception log start
11:42:04.640 [company-api-system-akka.actor.default-dispatcher-2] ERROR c.stepweb.scarifgate.CompanyApiApp$ - requirement failed
java.lang.IllegalArgumentException: requirement failed
at scala.Predef$.require(Predef.scala:212) ~[scala-library-2.11.8.jar:na]
at spray.json.BasicFormats$StringJsonFormat$.write(BasicFormats.scala:121) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.BasicFormats$StringJsonFormat$.write(BasicFormats.scala:119) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.ProductFormats$class.productElement2Field(ProductFormats.scala:46) ~[spray-json_2.11-1.3.2.jar:na]
at com.stepweb.scarifgate.services.CompanyService.productElement2Field(CompanyService.scala:14) ~[classes/:na]
at spray.json.ProductFormatsInstances$$anon$3.write(ProductFormatsInstances.scala:73) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.ProductFormatsInstances$$anon$3.write(ProductFormatsInstances.scala:68) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.PimpedAny.toJson(package.scala:39) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.CollectionFormats$$anon$1$$anonfun$write$1.apply(CollectionFormats.scala:26) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.CollectionFormats$$anon$1$$anonfun$write$1.apply(CollectionFormats.scala:26) ~[spray-json_2.11-1.3.2.jar:na]
at scala.collection.immutable.List.map(List.scala:273) ~[scala-library-2.11.8.jar:na]
at spray.json.CollectionFormats$$anon$1.write(CollectionFormats.scala:26) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.CollectionFormats$$anon$1.write(CollectionFormats.scala:25) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.ProductFormats$class.productElement2Field(ProductFormats.scala:46) ~[spray-json_2.11-1.3.2.jar:na]
at com.stepweb.scarifgate.services.CompanyService.productElement2Field(CompanyService.scala:14) ~[classes/:na]
at spray.json.ProductFormatsInstances$$anon$1.write(ProductFormatsInstances.scala:30) ~[spray-json_2.11-1.3.2.jar:na]
at spray.json.ProductFormatsInstances$$anon$1.write(ProductFormatsInstances.scala:26) ~[spray-json_2.11-1.3.2.jar:na]
at akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport$$anonfun$sprayJsonMarshaller$1.apply(SprayJsonSupport.scala:62) ~[akka-http-spray-json_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshallers.sprayjson.SprayJsonSupport$$anonfun$sprayJsonMarshaller$1.apply(SprayJsonSupport.scala:62) ~[akka-http-spray-json_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anonfun$compose$1$$anonfun$apply$15.apply(Marshaller.scala:73) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anonfun$compose$1$$anonfun$apply$15.apply(Marshaller.scala:73) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anon$1.apply(Marshaller.scala:92) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.GenericMarshallers$$anonfun$optionMarshaller$1$$anonfun$apply$1.apply(GenericMarshallers.scala:19) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.GenericMarshallers$$anonfun$optionMarshaller$1$$anonfun$apply$1.apply(GenericMarshallers.scala:18) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anon$1.apply(Marshaller.scala:92) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.PredefinedToResponseMarshallers$$anonfun$fromStatusCodeAndHeadersAndValue$1$$anonfun$apply$5.apply(PredefinedToResponseMarshallers.scala:58) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.PredefinedToResponseMarshallers$$anonfun$fromStatusCodeAndHeadersAndValue$1$$anonfun$apply$5.apply(PredefinedToResponseMarshallers.scala:57) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anon$1.apply(Marshaller.scala:92) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anonfun$compose$1$$anonfun$apply$15.apply(Marshaller.scala:73) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anonfun$compose$1$$anonfun$apply$15.apply(Marshaller.scala:73) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anon$1.apply(Marshaller.scala:92) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.ToResponseMarshallable$$anonfun$1$$anonfun$apply$1.apply(ToResponseMarshallable.scala:29) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.ToResponseMarshallable$$anonfun$1$$anonfun$apply$1.apply(ToResponseMarshallable.scala:29) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.Marshaller$$anon$1.apply(Marshaller.scala:92) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.GenericMarshallers$$anonfun$futureMarshaller$1$$anonfun$apply$3$$anonfun$apply$4.apply(GenericMarshallers.scala:33) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.marshalling.GenericMarshallers$$anonfun$futureMarshaller$1$$anonfun$apply$3$$anonfun$apply$4.apply(GenericMarshallers.scala:33) ~[akka-http_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.util.FastFuture$.akka$http$scaladsl$util$FastFuture$$strictTransform$1(FastFuture.scala:41) ~[akka-http-core_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.util.FastFuture$$anonfun$transformWith$extension1$1.apply(FastFuture.scala:51) [akka-http-core_2.11-10.0.0.jar:10.0.0]
at akka.http.scaladsl.util.FastFuture$$anonfun$transformWith$extension1$1.apply(FastFuture.scala:50) [akka-http-core_2.11-10.0.0.jar:10.0.0]
at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32) [scala-library-2.11.8.jar:na]
at akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:55) [akka-actor_2.11-2.4.16.jar:na]
at akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:91) [akka-actor_2.11-2.4.16.jar:na]
at akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply(BatchingExecutor.scala:91) [akka-actor_2.11-2.4.16.jar:na]
at akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply(BatchingExecutor.scala:91) [akka-actor_2.11-2.4.16.jar:na]
at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72) [scala-library-2.11.8.jar:na]
at akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:90) [akka-actor_2.11-2.4.16.jar:na]
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:39) [akka-actor_2.11-2.4.16.jar:na]
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:415) [akka-actor_2.11-2.4.16.jar:na]
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) [scala-library-2.11.8.jar:na]
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) [scala-library-2.11.8.jar:na]
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) [scala-library-2.11.8.jar:na]
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) [scala-library-2.11.8.jar:na]
11:42:04.640 [company-api-system-akka.actor.default-dispatcher-2] ERROR c.stepweb.scarifgate.CompanyApiApp$ - cause
11:42:04.641 [company-api-system-akka.actor.default-dispatcher-2] ERROR c.stepweb.scarifgate.CompanyApiApp$ - cause
11:42:04.644 [company-api-system-akka.actor.default-dispatcher-2] INFO c.stepweb.scarifgate.CompanyApiApp$ - java.lang.IllegalArgumentException: requirement failed
11:42:04.644 [company-api-system-akka.actor.default-dispatcher-2] INFO c.stepweb.scarifgate.CompanyApiApp$ - ---------------- exception log end
so... the exception is caused here in spray.json.BasicFormats
implicit object StringJsonFormat extends JsonFormat[String] {
def write(x: String) = {
require(x ne null) // <-----------------------------------
JsString(x)
}
def read(value: JsValue) = value match {
case JsString(x) => x
case x => deserializationError("Expected String as JsString, but got " + x)
}
}
which sort of means one of the strings in this thousands of lines of response is null. Special thanks goes to the laziness of using that "require" without a message. Debugging which string is empty where will be a nightmare but I still think akka should fail in a better way.
akka-http no stack trace or details on error
Well, default akka-http ExceptionHandler doesn't print stack trace and prints only error message or its class name if the message is empty but you can provide custom exception handler that will print anything you want (i.e. stack trace in your example).
Some examples of how to make a custom exception handler are provided at GitHub ExceptionHandlerExamplesSpec.spec
The simplest way in your case seems to be to define your own custom implicit exception handler
import akka.http.scaladsl.model._
import akka.http.scaladsl.server._
import StatusCodes._
import Directives._
implicit def myExceptionHandler: ExceptionHandler =
ExceptionHandler {
case NonFatal(e) =>
logger.error(s"Exception $e at\n${e.getStackTraceString}")
complete(HttpResponse(InternalServerError, entity = "Internal Server Error"))
}
}
Try setting the loggers as well - from your configuration it seems they're not set. Something like:
akka {
loggers = ["akka.event.slf4j.Slf4jLogger"]
loglevel = "DEBUG"
logging-filter = "akka.event.slf4j.Slf4jLoggingFilter"
}
Also, consider using akka-slf4j along with their recommended logging backend logback.
This should make akka spit more details.