6

我怎样才能让这个方法编译。奇怪的是,已经导入了隐含的火花。

def loadDsFromHive[T <: Product](tableName: String, spark: SparkSession): Dataset[T] = {
    import spark.implicits._
    spark.sql(s"SELECT * FROM $tableName").as[T]
  }

这是错误:

Unable to find encoder for type stored in a Dataset.  Primitive types (Int, String, etc) and Product types (case classes) are supported by importing spark.implicits._  Support for serializing other types will be added in future releases.
[error]     spark.sql(s"SELECT * FROM $tableName").as[T]
4

1 回答 1

18

根据源代码org.apache.spark.sql.SQLImplicits,您需要类型的类型类TypeTag,以便隐式Encoder存在:

import scala.reflect.runtime.universe.TypeTag
def loadDsFromHive[T <: Product: TypeTag](tableName: String, spark: SparkSession): Dataset[T] = ...
于 2017-05-29T19:51:57.017 回答