如何在没有SparkSQL的情况下使用FasterXML解析Spark中的JSON?

我到这为止了

import com.fasterxml.jackson.module.scala.DefaultScalaModule
import com.fasterxml.jackson.module.scala.experimental.ScalaObjectMapper
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.databind.DeserializationFeature

case class Person(name: String, lovesPandas: Boolean)

val mapper = new ObjectMapper()

val input = sc.textFile("files/pandainfo.json")
val result = input.flatMap(record => {
    try{
        Some(mapper.readValue(record, classOf[Person]))
    } catch {
        case e: Exception => None
    }
})
result.collect

，但结果为Array()(无错误).该文件为 https://github.com/databricks/learning -spark/blob/master/files/pandainfo.json 如何从这里继续?

but get Array() as a result (with no error). The file is https://github.com/databricks/learning-spark/blob/master/files/pandainfo.json How do I go on from here?

咨询 Spark:广播杰克逊ObjectMapper 我尝试

import org.apache.spark._
import com.fasterxml.jackson.module.scala.DefaultScalaModule
import com.fasterxml.jackson.module.scala.experimental.ScalaObjectMapper
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.databind.DeserializationFeature

case class Person(name: String, lovesPandas: Boolean)

val input = """{"name":"Sparky The Bear", "lovesPandas":true}"""
val result = input.flatMap(record => {
    try{
        val mapper = new ObjectMapper()
        mapper.registerModule(DefaultScalaModule)
        mapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false)
        Some(mapper.readValue(record, classOf[Person]))
    } catch {
        case e: Exception => None
    }
})
result.collect

得到了

Name: Compile Error
Message: <console>:34: error: overloaded method value readValue with alternatives:
  [T](x$1: Array[Byte], x$2: com.fasterxml.jackson.databind.JavaType)T <and>
  [T](x$1: Array[Byte], x$2: com.fasterxml.jackson.core.type.TypeReference[_])T <and>
  [T](x$1: Array[Byte], x$2: Class[T])T <and>