Dear Mich,
Thank you for the reply.
By running the following command in the command line:
bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic <topic_name>
--from-beginning
I do indeed retrieve all messages of a topic.
Any indication onto what might cause the issue?
An important note to make, I’m using the default configuration of both Kafka
and Zookeeper.
> On 07 Jun 2016, at 11:39, Mich Talebzadeh <mich.talebza...@gmail.com> wrote:
>
> 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
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>
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>
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>
>
> On 7 June 2016 at 10:06, Dominik Safaric <dominiksafa...@gmail.com
> <mailto: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?
>
>
>
>
> --
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>
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