Java 火花类型与精确类型不匹配

在尝试NaiveBayes示例时，我在Ubuntu的Spark 1.4上遇到了这个问题。我看到过类似问题的帖子，修复程序通过Maven修复了jar不匹配的问题，但在本例中，所讨论的类是用Spark打包的，所以我不确定如何继续

scala> val model = NaiveBayes.train(training, lambda = 1.0, modelType = "multinomial")
<console>:46: error: type mismatch;
 found   : org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.RDD[org.apache.spark.mllib.regression.LabeledPoint]
 required: org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.RDD[org.apache.spark.mllib.regression.LabeledPoint]
       val model = NaiveBayes.train(training, lambda = 1.0, modelType = "multinomial")
                                    ^

这可能是一些类加载器错误吗？也许它在寻找org.apache.spark.rdd.rdd，但是发现了错误的字符串，尽管类实际上是正确的

相关的：

---

结果表明，在spark shell中导入相同的库会导致名称损坏，即附加名称。通过使用罗伊的建议，关闭和再次打开，我得到了这个工作，但我遇到了另一个问题：

java.lang.NumberFormatException: empty String
        at sun.misc.FloatingDecimal.readJavaFormatString(FloatingDecimal.java:1020)
        at java.lang.Double.parseDouble(Double.java:540)
        at scala.collection.immutable.StringLike$class.toDouble(StringLike.scala:232)
        at scala.collection.immutable.StringOps.toDouble(StringOps.scala:31)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1$$anonfun$apply$1.apply(<console>:28)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1$$anonfun$apply$1.apply(<console>:28)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
        at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:28)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:26)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:389)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:199)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:56)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:70)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)

java.lang.NumberFormatException: empty String
        at sun.misc.FloatingDecimal.readJavaFormatString(FloatingDecimal.java:1020)
        at java.lang.Double.parseDouble(Double.java:540)
        at scala.collection.immutable.StringLike$class.toDouble(StringLike.scala:232)
        at scala.collection.immutable.StringOps.toDouble(StringOps.scala:31)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1$$anonfun$apply$1.apply(<console>:28)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1$$anonfun$apply$1.apply(<console>:28)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
        at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
        at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
        at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
        at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:28)
        at $line22.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:26)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:389)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:199)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:56)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:70)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:70)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)