Question

在尝试Naive Bayes示例here时，我在Ubuntu上的Spark 1.4上遇到了这个问题。我已经看过有类似问题的帖子，其中修复程序修复了jar不匹配（通过Maven），但在这种情况下，有问题的类与Spark打包在一起，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")
                                    ^

还要注意类型的真正长链：

org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.org.apache.spark.rdd.RDD

这可能是一些类加载器错误吗？也许它正在寻找org.apache.spark.rdd.RDD但是找到了错误的字符串（尽管该类实际上是正确的）。

相关： Apache Spark type mismatch of the same type (String)

Answer 1

原因是在spark-shell中导入相同的库会以某种方式导致名称损坏（即附加名称）。通过使用Roy的建议将其关闭再打开，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)

精确类型的火花类型不匹配

1 个答案: