Scala 如何修复filter map和mapWithState函数

我是一个新的scala录像机，我有一个flatMap函数，它返回一个FlatMappedDStream对象，这是一个触发流作业，handle函数返回一个Map[String，Any]，代码如下：

val parseAction = filterActions.flatMap(record => ParseOperation.parseMatch(categoryMap, record))

val finalActions = parseAction.filter(record => record.get("invalid").get == None)

val userModels = finalActions.map(record => (record.asInstanceOf[Map[String, Any]].getOrElse("deviceid", ""), record))
                       .mapWithState(StateSpec.function(stateUpdateFunction))

功能定义：

val parseMatch = (categoryMap: collection.Map[Int, String], record: Map[String, Any]) => {
record.get("operation").get.toString match {
  case "view" => parseView(categoryMap, record)
  case "impression" => parseRecord(record)
  case "click" => parseRecord(record)
  case _ => ListBuffer.apply(record)

}

}

parseMatch函数返回类型为Map[String，Any]的已处理流式记录，现在我想打印所有结果并放入新的filter Map函数和mapWithState函数，我尝试了一下，但不起作用。 错误代码如下：

val parseAction = filterActions.flatMap(record => ParseOperation.parseMatch(categoryMap, record))

val finalActions = parseAction.filter(record => record.get("invalid").get == None)

val userModels = finalActions.map(record => (record.asInstanceOf[Map[String, Any]].getOrElse("deviceid", ""), record))
                       .mapWithState(StateSpec.function(stateUpdateFunction))

mapWithState函数是：

val stateUpdateFunction = (deviceId: Any, newRecord: Option[Map[String, Any]], stateData: State[Map[String, Any]]) => {
  XXXX

}

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但是filter函数和mapWithState函数不正确，如何修复它？

我已经修复了它，我将返回类型从Map[String，Any]修改为ListBuffer[Map[String，Any]]，它确实有效