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

Question

当我尝试运行 Spark Submit comment 时收到上述错误消息：

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/

错误信息：

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

构建.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

Answer 1

由于它不是一个 fat jar，因此 Spark 集群的类路径中没有类型安全 jar。

将 Spark 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/

它将将该 jar 保留在类路径中，并提交作业。