typeHashPartitioner不是org.apache.spark.sql.SparkSession的成员

我使用spark-shell来试验Spark的HashPartitioner.错误如下所示:

scala> val data = sc.parallelize(List((1, 3), (2, 4), (3, 6), (3, 7)))
data: org.apache.spark.rdd.RDD[(Int, Int)] = ParallelCollectionRDD[0] at parallelize at :24

scala> val partitiOnedData= data.partitionBy(new spark.HashPartitioner(2))
:26: error: type HashPartitioner is not a member of org.apache.spark.sql.SparkSession
       val partitiOnedData= data.partitionBy(new spark.HashPartitioner(2))
                                                        ^

scala> val partitiOnedData= data.partitionBy(new org.apache.spark.HashPartitioner(2))
partitionedData: org.apache.spark.rdd.RDD[(Int, Int)] = ShuffledRDD[1] at partitionBy at :26

第三次操作有效时,第二次操作失败.为什么spark-shell会在org.apache.spark.sql.SparkSession的包中找到spark.HashPartitioner而不是org.apache.spark？

spark是一个SparkSession对象而不是org.apache.spark包.

您应该导入org.apache.spark.HashPartitioner或使用完整的类名,例如:

import org.apache.spark.HashPartitioner

val partitiOnedData= data.partitionBy(new HashPartitioner(2))