KafkaUtils class not found in Spark streaming

Question

I have just began with Spark Streaming and I am trying to build a sample application that counts words from a Kafka stream. Although it compiles with sbt package

Answer 1

Please try by including all dependency jars while submitting application:

./spark-submit --name "SampleApp" --deploy-mode client--master spark://host:7077 --class com.stackexchange.SampleApp --jars $SPARK_INSTALL_DIR/spark-streaming-kafka_2.10-1.3.0.jar,$KAFKA_INSTALL_DIR/libs/kafka_2.10-0.8.2.0.jar,$KAFKA_INSTALL_DIR/libs/metrics-core-2.2.0.jar,$KAFKA_INSTALL_DIR/libs/zkclient-0.3.jar spark-example-1.0-SNAPSHOT.jar

Answer 2

spark-submit does not automatically put the package containing KafkaUtils. You need to have in your project JAR. For that you need to create an all inclusive uber-jar, using sbt assembly. Here is an example build.sbt .

https://github.com/tdas/spark-streaming-external-projects/blob/master/kafka/build.sbt

You obviously also need to add the assembly plugin to SBT.

https://github.com/tdas/spark-streaming-external-projects/tree/master/kafka/project

Answer 3

meet the same problem, I solved it by build the jar with dependencies.

add the code below to pom.xml

<build>
    <sourceDirectory>src/main/java</sourceDirectory>
    <testSourceDirectory>src/test/java</testSourceDirectory>
    <plugins>
      <!--
                   Bind the maven-assembly-plugin to the package phase
        this will create a jar file without the storm dependencies
        suitable for deployment to a cluster.
       -->
      <plugin>
        <artifactId>maven-assembly-plugin</artifactId>
        <configuration>
          <descriptorRefs>
            <descriptorRef>jar-with-dependencies</descriptorRef>
          </descriptorRefs>
          <archive>
            <manifest>
              <mainClass></mainClass>
            </manifest>
          </archive>
        </configuration>
        <executions>
          <execution>
            <id>make-assembly</id>
            <phase>package</phase>
            <goals>
              <goal>single</goal>
            </goals>
          </execution>
        </executions>
      </plugin>
    </plugins>
</build>    

mvn package submit the "example-jar-with-dependencies.jar"

Answer 4

Following build.sbt worked for me. It requires you to also put the sbt-assembly plugin in a file under the projects/ directory.

build.sbt

name := "NetworkStreaming" // https://github.com/sbt/sbt-assembly/blob/master/Migration.md#upgrading-with-bare-buildsbt

libraryDependencies ++= Seq(
  "org.apache.spark" % "spark-streaming_2.10" % "1.4.1",
  "org.apache.spark" % "spark-streaming-kafka_2.10" % "1.4.1",         // kafka
  "org.apache.hbase" % "hbase" % "0.92.1",
  "org.apache.hadoop" % "hadoop-core" % "1.0.2",
  "org.apache.spark" % "spark-mllib_2.10" % "1.3.0"
)

mergeStrategy in assembly := {
  case m if m.toLowerCase.endsWith("manifest.mf")          => MergeStrategy.discard
  case m if m.toLowerCase.matches("meta-inf.*\\.sf$")      => MergeStrategy.discard
  case "log4j.properties"                                  => MergeStrategy.discard
  case m if m.toLowerCase.startsWith("meta-inf/services/") => MergeStrategy.filterDistinctLines
  case "reference.conf"                                    => MergeStrategy.concat
  case _                                                   => MergeStrategy.first
}

project/plugins.sbt

addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.14.1")

Answer 5

use --packages argument on spark-submit, it takes mvn package in the format group:artifact:version,...

Answer 6

import org.apache.spark.streaming.kafka.KafkaUtils

use the below in build.sbt

---

name := "kafka"

version := "0.1"

scalaVersion := "2.11.12"

retrieveManaged := true

fork := true

//libraryDependencies += "org.apache.spark" % "spark-streaming_2.11" % "2.2.0"
//libraryDependencies += "org.apache.spark" % "spark-streaming-kafka-0-8_2.11" % "2.1.0"

libraryDependencies += "org.apache.spark" %% "spark-core" % "2.2.0"

//libraryDependencies += "org.apache.spark" %% "spark-sql" % "2.2.0"

libraryDependencies += "org.apache.spark" %% "spark-streaming" % "2.2.0"

// https://mvnrepository.com/artifact/org.apache.spark/spark-streaming-kafka-0-8
libraryDependencies += "org.apache.spark" %% "spark-streaming-kafka-0-8" % "2.2.0" % "provided"

// https://mvnrepository.com/artifact/org.apache.spark/spark-streaming-kafka-0-8-assembly
libraryDependencies += "org.apache.spark" %% "spark-streaming-kafka-0-8-assembly" % "2.2.0"

This will fix the issue