将数据集转换为红色的任务不可序列化异常

Question

我有如下所示的数据集：

dataset.show(10)

|   features|
+-----------+
|[14.378858]|
|[14.388442]|
|[14.384361]|
|[14.386358]|
|[14.390068]|
|[14.423256]|
|[14.425567]|
|[14.434074]|
|[14.437667]|
|[14.445997]|
+-----------+
only showing top 10 rows

但是，当我尝试使用.rdd将此DataSet转换为RDD如下所示：

val myRDD = dataset.rdd

我收到如下异常：

Task not serializable: java.io.NotSerializableException: scala.runtime.LazyRef
Serialization stack:
    - object not serializable (class: scala.runtime.LazyRef, value: LazyRef thunk)
    - element of array (index: 2)
    - array (class [Ljava.lang.Object;, size 3)
    - field (class: java.lang.invoke.SerializedLambda, name: capturedArgs, type: class [Ljava.lang.Object;)
    - object (class java.lang.invoke.SerializedLambda, SerializedLambda[capturingClass=class org.apache.spark.sql.catalyst.expressions.ScalaUDF, functionalInterfaceMethod=scala/Function1.apply:(Ljava/lang/Object;)Ljava/lang/Object;, implementation=invokeStatic org/apache/spark/sql/catalyst/expressions/ScalaUDF.$anonfun$f$2:(Lscala/Function1;Lorg/apache/spark/sql/catalyst/expressions/Expression;Lscala/runtime/LazyRef;Lorg/apache/spark/sql/catalyst/InternalRow;)Ljava/lang/Object;, instantiatedMethodType=(Lorg/apache/spark/sql/catalyst/InternalRow;)Ljava/lang/Object;, numCaptured=3])
    - writeReplace data (class: java.lang.invoke.SerializedLambda)

我该如何解决？

Answer 1

java.io.NotSerializableException: scala.runtime.LazyRef

清楚地表明运行时版本不匹配问题。 你还没有提到你的火花版本...

这是scala版本问题降级到scala 2.11它应该可以工作

从这个 url https://mvnrepository.com/artifact/org.apache.spark/spark-core看到这个版本表并适当地更改你的 scala 版本。