线程“主”中的异常java.lang.NoSuchMethodError:scala.Predef $ .refArrayOps([Ljava / lang / Object;)Lscala / collection / mutable / ArrayOps

时间:2019-05-06 14:44:01

标签: scala apache-spark sbt

当我在终端中运行时:

sudo spark-submit --master local --class xxx.xxxx.xxx.xxxx.xxxxxxxxxxxxJob --conf 'spark.driver.extraJavaOptions=-Dconfig.resource=xxx.conf' /home/xxxxx/workspace/prueba/pruebas/target/scala-2.11/MiPrueba.jar

我收到以下错误:

Exception in thread "main" java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)Lscala/collection/mutable/ArrayOps;
    at pureconfig.DurationUtils$.words(DurationUtils.scala:36)
    at pureconfig.DurationUtils$.pureconfig$DurationUtils$$expandLabels(DurationUtils.scala:38)
    at pureconfig.DurationUtils$$anonfun$2.apply(DurationUtils.scala:53)
    at pureconfig.DurationUtils$$anonfun$2.apply(DurationUtils.scala:53)
    at scala.collection.immutable.List.flatMap(List.scala:338)
    at pureconfig.DurationUtils$.(DurationUtils.scala:53)
    at pureconfig.DurationUtils$.(DurationUtils.scala)
    at pureconfig.DurationReaders$class.$init$(BasicReaders.scala:114)
    at pureconfig.ConfigReader$.(ConfigReader.scala:121)
    at pureconfig.ConfigReader$.(ConfigReader.scala)
    at xxx.xxxx.xxx.xxxx.config.package$Config$.load(package.scala:67)
    at xxx.xxxx.xxx.xxxx.job.xxxxJob$class.main(XXXxxx.scala:23)
    at xxx.xxxx.xxx.xxxx......Job$.main(Xxxxxxxxxxxx.scala:19)
    at xxx.xxxx.xxx.xxxx..main(XXXXXXxxxxxxxx.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
    at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:849)
    at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:167)
    at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:195)
    at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:86)
    at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:924)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:933)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

内部定义:

  

版本:=“ 0.1”

     

scalaVersion:=“ 2.11.11”

libraryDependencies:

val dependFullList = spark ++ hadoop ++ apisDownload ++ configuration 

配置:

  val configuration = Seq(
    "com.github.pureconfig" %% "pureconfig" % "0.9.2",
    "com.typesafe" % "config" % "1.3.1",
    "org.lz4" % "lz4-java" % "1.4.1"
  )

火花:

  val spark = Seq(
    "org.apache.spark" %% "spark-core" % Versions.spark % "provided" exclude("javax.jms", "jms"),
    "org.apache.spark" %% "spark-sql" % Versions.spark % "provided",
    "com.databricks" %% "spark-xml" % "0.4.1"
    // https://mvnrepository.com/artifact/mrpowers/spark-daria
  )

有什么想法吗?

1 个答案:

答案 0 :(得分:1)

您正在混合Scala版本。 Spark 2.4.2不支持Scala 2.11。切换到Spark 2.4.0或用scala 2.12版本替换您的库。

https://spark.apache.org/releases/spark-release-2-4-2.html

请注意,从2.4.1开始不推荐使用Scala 2.11。从2.4.2版本开始,针对Scala 2.12编译了预构建的便捷二进制文件。 Spark仍在Maven Central中针对2.11和2.12交叉发布,并且可以从源代码针对2.11构建。