我想将RDD转换为数据集。为此，我使用 .tooltip-host {
display: inline-flex;
align-items: center;
}
方法implicits给出了以下错误：
toDS()就我而言，我必须使用Exception in thread "main" java.lang.UnsupportedOperationException: No Encoder found for java.time.LocalDate
- field (class: "java.time.LocalDate", name: "date")
- root class: "observatory.TemperatureRow"
at org.apache.spark.sql.catalyst.ScalaReflection$.org$apache$spark$sql$catalyst$ScalaReflection$$serializerFor(ScalaReflection.scala:602)
at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:596)
at org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$9.apply(ScalaReflection.scala:587)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:344)
类型，我不能使用java.time.LocalDate。我已经读过，我需要在informe Spark中将transforme Java类型变成Sql类型，我这个方向，我在下面构建了2个implicits函数：
java.sql.data下面是一些关于我的应用程序的代码：
implicit def toSerialized(t: TemperatureRow): EncodedTemperatureRow = EncodedTemperatureRow(t.date.toString, t.location, t.temperature)
implicit def fromSerialized(t: EncodedTemperatureRow): TemperatureRow = TemperatureRow(LocalDate.parse(t.date), t.location, t.temperature)
我不知道为什么Spark搜索case class Location(lat: Double, lon: Double)
case class TemperatureRow(
date: LocalDate,
location: Location,
temperature: Double
)
case class EncodedTemperatureRow(
date: String,
location: Location,
temperature: Double
val s = Seq[TemperatureRow](
TemperatureRow(LocalDate.parse("2017-01-01"), Location(1.4,5.1), 4.9),
TemperatureRow(LocalDate.parse("2014-04-05"), Location(1.5,2.5), 5.5)
)
import spark.implicits._
val temps: RDD[TemperatureRow] = sc.parallelize(s)
val tempsDS = temps.toDS
的编码器，我为java.time.LocalDate和TemperatureRow提供隐式转换......
答案 0 :(得分：9)
java.time.LocalDate（我已经尝试为该类型编写Encoder一段时间并且failed。）
您必须将java.time.LocalDate转换为其他支持的类型，java.sql.Timestamp或java.sql.Date是受支持的候选人。