提交火花时出现 ClassNotFoundException scala.runtime.LambdaDeserialize [英] ClassNotFoundException scala.runtime.LambdaDeserialize when spark-submit

问题描述

I follow the Scala tutorial on https://spark.apache.org/docs/2.1.0/quick-start.html

My scala file

/* SimpleApp.scala */
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf

object SimpleApp {
  def main(args: Array[String]) {
    val logFile = "/data/README.md" // Should be some file on your system
    val conf = new SparkConf().setAppName("Simple Application")
    val sc = new SparkContext(conf)
    val logData = sc.textFile(logFile, 2).cache()
    val numAs = logData.filter(line => line.contains("a")).count()
    val numBs = logData.filter(line => line.contains("b")).count()
    println(s"Lines with a: $numAs, Lines with b: $numBs")
    sc.stop()
  }
}

and build.sbt

name := "Simple Project"

version := "1.0"

scalaVersion := "2.12.4"

libraryDependencies += "org.apache.spark" % "spark-core_2.10" % "2.2.0" 

I ran sbt package sucessfully (already delete everything except scala source code and build.sbt then run sbt package again)

[info] Loading project definition from /home/cpu11453local/workspace/testspark_scala/project
[info] Loading settings from build.sbt ...
[info] Set current project to Simple Project (in build file:/home/my_name/workspace/testspark_scala/)
[info] Packaging /home/my_name/workspace/testspark_scala/target/scala-2.12/simple-project_2.12-1.0.jar ...
[info] Done packaging.
[success] Total time: 1 s, completed Nov 8, 2017 12:15:24 PM

However, when I run spark submit

$SPARK_HOME/bin/spark-submit --class "SimpleApp" --master local[4] simple-project_2.12-1.0.jar 

I got error

java.lang.NoClassDefFoundError: scala/runtime/LambdaDeserialize

Full spark-submit output on gist

解决方案

as @Alexey said, change Scala version to 2.11 fixed the problem.

build.sbt

name := "Simple Project"

version := "1.0"

scalaVersion := "2.11.11"

libraryDependencies += "org.apache.spark" % "spark-core_2.11" % "2.2.0" 

Note that Scala version MUST MATCH with Spark. Look at the artifactId, spark-core_2.11 mean it was compatible with scala 2.11 (No backward or forward compatible)

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