spark流+kafka sbt编译

Question

我有一个火花流 + kafka 的例子。它在 IDE 中运行良好。但是当我尝试从控制台通过 SBT 编译它时，例如 sbt compile。出错了。

主类：

val conf = new SparkConf().setMaster("local[*]").setAppName("KafkaReceiver")
  val ssc = new StreamingContext(conf, Seconds(5))

  val kafkaStream1 = KafkaUtils.createStream(ssc, "localhost:2181", "spark-streaming-consumer-group", Map("t1" -> 5))
  //val kafkaStream2 = KafkaUtils.createStream(ssc, "localhost:2181", "spark-streaming-consumer-group", Map("topic2" -> 5))

  //kafkaStream.fla
  kafkaStream1.print()
  ssc.start()
  ssc.awaitTermination()

错误信息：

[error] bad symbolic reference. A signature in package.class refers to type compileTimeOnly
[error] in package scala.annotation which is not available.
[error] It may be completely missing from the current classpath, or the version on
[error] the classpath might be incompatible with the version used when compiling package.class.
Reference to method any2ArrowAssoc in object Predef should not have survived past type checking,
[error] it should have been processed and eliminated during expansion of an enclosing macro.
[error]   val kafkaStream1 = KafkaUtils.createStream(ssc, "localhost:2181", "spark-streaming-consumer-group", Map("t1" -> 5))
[error]                                                                                                           ^
[error] two errors found
[error] (compile:compileIncremental) Compilation failed

sbt:

    name := "test"
    val sparkVersion = "2.0.0"

    lazy val commonSettings = Seq(
      organization := "com.test",
      version := "1.0",
      scalaVersion := "2.11.8",
      test in assembly := {}
    )    
libraryDependencies ++= Seq(
  "org.apache.spark" % "spark-streaming_2.11" % sparkVersion,
  "org.apache.spark" % "spark-streaming-kafka-0-8_2.11" % sparkVersion
) 

您有解决方法的想法吗？

Answer 1

你能分享你的 build.sbt 吗？可能导致“错误符号引用”问题的原因之一是 scala 版本不匹配。请查看topic 了解有关该问题的更多详细信息。此外，请确保您使用的 Scala 版本与 spark 预期的版本相同，请查看this blog post 了解更多详细信息