I assume you zookeeper is up and running can you confirm that you are getting topics from kafka independently for example on the command line
${KAFKA_HOME}/bin/kafka-console-consumer.sh --zookeeper rhes564:2181 --from-beginning --topic newtopic Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com On 7 June 2016 at 10:06, Dominik Safaric <dominiksafa...@gmail.com> wrote: > As I am trying to integrate Kafka into Spark, the following exception > occurs: > > org.apache.spark.SparkException: java.nio.channels.ClosedChannelException > org.apache.spark.SparkException: Couldn't find leader offsets for > Set([*<topicName>*,0]) > at > > org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366) > at > > org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366) > at scala.util.Either.fold(Either.scala:97) > at > > org.apache.spark.streaming.kafka.KafkaCluster$.checkErrors(KafkaCluster.scala:365) > at > > org.apache.spark.streaming.kafka.KafkaUtils$.getFromOffsets(KafkaUtils.scala:222) > at > > org.apache.spark.streaming.kafka.KafkaUtils$.createDirectStream(KafkaUtils.scala:484) > at org.mediasoft.spark.Driver$.main(Driver.scala:42) > at .<init>(<console>:11) > at .<clinit>(<console>) > at .<init>(<console>:7) > at .<clinit>(<console>) > at $print(<console>) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) > at > > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:483) > at > scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734) > at > scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983) > at > scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573) > at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604) > at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568) > at > scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:760) > at > scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:805) > at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:717) > at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581) > at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588) > at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591) > at > > scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:882) > at > scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837) > at > scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837) > at > > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:837) > at scala.tools.nsc.interpreter.ILoop.main(ILoop.scala:904) > at > > org.jetbrains.plugins.scala.compiler.rt.ConsoleRunner.main(ConsoleRunner.java:64) > 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:483) > at > com.intellij.rt.execution.application.AppMain.main(AppMain.java:144) > > As for the Spark configuration: > > val conf: SparkConf = new > SparkConf().setAppName("AppName").setMaster("local[2]") > > val confParams: Map[String, String] = Map( > "metadata.broker.list" -> "<IP_ADDRESS>:9092", > "auto.offset.reset" -> "largest" > ) > > val topics: Set[String] = Set("<topic_name>") > > val context: StreamingContext = new StreamingContext(conf, Seconds(1)) > val kafkaStream = KafkaUtils.createDirectStream(context,confParams, > topics) > > kafkaStream.foreachRDD(rdd => { > rdd.collect().foreach(println) > }) > > context.awaitTermination() > context.start() > > The Kafka topic does exist, Kafka server is up and running and I am able to > produce messages to that particular topic using the Confluent REST API. > > What might the problem actually be? > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Apache-Spark-Kafka-Integration-org-apache-spark-SparkException-Couldn-t-find-leader-offsets-for-Set-tp27103.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >