线程"main" java.lang.NoClassDefFoundError中的异常: com/typesafe/config/ConfigFactory



当我尝试运行Spark提交评论时,我会收到上述错误消息:

spark-submit --class "retail.DataValidator" --master local --executor-memory 2g --total-executor-cores 2 sample-spark-180417_2.11-1.0.jar /home/hduser/Downloads/inputfiles/  /home/hduser/output/

错误消息:

Exception in thread "main" java.lang.NoClassDefFoundError: com/typesafe/config/ConfigFactory
at retail.DataValidator$.main(DataValidator.scala:12)
at retail.DataValidator.main(DataValidator.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:738)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.ClassNotFoundException: com.typesafe.config.ConfigFactory
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 11 more

build.sbt文件:

name := "sample-spark-180417"
version := "1.0"
scalaVersion := "2.11.8"
libraryDependencies += "org.apache.spark" % "spark-core_2.11" % "2.1.0"
libraryDependencies += "com.typesafe" % "config" % "1.3.1"
libraryDependencies += "org.apache.spark" % "spark-sql_2.11" % "2.1.0"
libraryDependencies += "org.apache.spark" % "spark-hive_2.11" % "2.1.0"
libraryDependencies += "mysql" % "mysql-connector-java" % "5.1.42"
libraryDependencies += "org.scala-lang" % "scala-swing" % "2.10+"

我没有任何maven依赖项或pom.xml文件。

谢谢

,由于它不是胖罐,所以火花集群在其classPath中没有类型的jar。

将火花作业提交为::

spark-submit --jars ./typesafe-***.jar --class "retail.DataValidator" --master local --executor-memory 2g --total-executor-cores 2 sample-spark-180417_2.11-1.0.jar /home/hduser/Downloads/inputfiles/  /home/hduser/output/

它将将罐子保留在classpath中,并提交工作。

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