Spark Streaming Kafka 10 API Word Count application Scala

In Spark Kafka Streaming Java program Word Count using Kafka 0.10 API blog entry i talked about how you create a simple java program that uses Spark Streaming's Kafka10 API using Java. This blog entry does the same thing but using Scala. You can download the complete application from github
You can run this sample by first downloading Kafka 0.10.* from Apache Kafka WebSite, then you can create and start a test topic and send messages to it by following this Kafka Quick start document

18 comments:

  1. dear sunil,
    I am new and I am using Intlej to get the code working. I need the build.sbt file instead of pom.xml, as I am using sbt.

    spent hours and hours but not able to get a complete project up and running. Is there a way you can help me out.
    Steps like in intlej select import or new project of if you can provide me a starting point.
    I have kafka and zookeeper running fine on my windows machine.

    Appreciate your help

    ReplyDelete
  2. Getting error Exception in thread "main" java.lang.ClassNotFoundException: Kafka10

    ReplyDelete
  3. Hi, i’m Developer a test using spark streaming consumer from Kafka topic. I used this program, but when start the program erro to connect localhost 9999 and I need start from console nc -lk 9999 but I want consumer from topic.

    ReplyDelete
  4. very informative blog and useful article thank you for sharing with us, keep posting Big data hadoop online training India

    ReplyDelete
  5. Hi,

    I tried your above example in intellij with details below:
    name := "WORDCOUNT"

    version := "0.1"

    scalaVersion := "2.12.6"
    val sparkVersion = "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming-kafka_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming-kafka_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-core_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming-kafka-0-10_2.10" % "2.0.0"
    scalacOptions += "-Ylog-classpath"

    the same program i am using with error as below:
    Error:(9, 8) Symbol 'type org.apache.spark.internal.Logging' is missing from the classpath.
    This symbol is required by 'object org.apache.spark.streaming.kafka010.KafkaUtils'.
    Make sure that type Logging is in your classpath and check for conflicting dependencies with `-Ylog-classpath`.
    A full rebuild may help if 'KafkaUtils.class' was compiled against an incompatible version of org.apache.spark.internal.
    import scala.collection.mutable.

    ReplyDelete
  6. Hi,

    I tried your above example in intellij with details below:
    name := "WORDCOUNT"

    version := "0.1"

    scalaVersion := "2.12.6"
    val sparkVersion = "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming-kafka_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming-kafka_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-core_2.10" % "1.6.3"
    libraryDependencies += "org.apache.spark" % "spark-streaming-kafka-0-10_2.10" % "2.0.0"
    scalacOptions += "-Ylog-classpath"

    the same program i am using with error as below:
    Error:(9, 8) Symbol 'type org.apache.spark.internal.Logging' is missing from the classpath.
    This symbol is required by 'object org.apache.spark.streaming.kafka010.KafkaUtils'.
    Make sure that type Logging is in your classpath and check for conflicting dependencies with `-Ylog-classpath`.
    A full rebuild may help if 'KafkaUtils.class' was compiled against an incompatible version of org.apache.spark.internal.
    import scala.collection.mutable.

    Kindly let me know way to solve it

    ReplyDelete
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