在尝试将Spark RDD转换为数据帧时，在使用spark-submit运行spark作业时遇到以下错误。这是将RDD转换为DF的两种方法-> createDataFrame（）和toDF（）
2018-12-17 11:31:50 INFO StateStoreCoordinatorRef:54 - Registered StateStoreCoordinator endpoint
An error occurred while calling o69.applySchemaToPythonRDD.
: java.lang.NoClassDefFoundError: scala/collection/GenTraversableOnce$class
at scala.reflect.internal.util.WeakHashSet.<init>(WeakHashSet.scala:19)
at scala.reflect.internal.util.WeakHashSet$.apply(WeakHashSet.scala:429)
at scala.reflect.internal.SymbolTable$perRunCaches$.<init>(SymbolTable.scala:310)
at scala.reflect.internal.SymbolTable.perRunCaches$lzycompute(SymbolTable.scala:304)
at scala.reflect.internal.SymbolTable.perRunCaches(SymbolTable.scala:304)
at scala.reflect.internal.Symbols$class.$init$(Symbols.scala:71)
at scala.reflect.internal.SymbolTable.<init>(SymbolTable.scala:13)
at scala.reflect.runtime.JavaUniverse.<init>(JavaUniverse.scala:12)
at scala.reflect.runtime.package$.universe$lzycompute(package.scala:16)
at scala.reflect.runtime.package$.universe(package.scala:16)
at org.apache.spark.sql.catalyst.ScalaReflection$.<init>(ScalaReflection.scala:47)
at org.apache.spark.sql.catalyst.ScalaReflection$.<clinit>(ScalaReflection.scala)
at org.apache.spark.sql.catalyst.encoders.RowEncoder$.org$apache$spark$sql$catalyst$encoders$RowEncoder$$serializerFor(RowEncoder.scala:74)
at org.apache.spark.sql.catalyst.encoders.RowEncoder$.apply(RowEncoder.scala:61)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:80)
at org.apache.spark.sql.SparkSession.internalCreateDataFrame(SparkSession.scala:578)
at org.apache.spark.sql.SparkSession.applySchemaToPythonRDD(SparkSession.scala:753)
at org.apache.spark.sql.SparkSession.applySchemaToPythonRDD(SparkSession.scala:738)
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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.ClassNotFoundException: scala.collection.GenTraversableOnce$class
at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 29 more
我将Spark 2.4.0与Hadoop 2.7.7结合使用。 Scala版本是2.11.8和Java 1.8.0_191。使用的python版本是2.7.15。
一个可能的原因可能是Scala版本不兼容，但我想事实并非如此。因此，我猜所有这些声明的版本实际上都是彼此兼容的，包括Scala版本与Spark的兼容性。
快速解决此问题的方法受到高度赞赏。