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[SPARK-4782] Add inferSchema support for RDD[Map[String, Any]] #6554

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[SPARK-4782] Add inferSchema support for RDD[Map[String, Any]] #6554

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[SPARK-4782] Added generic inferSchema method to allow schema infer f… 
…or an RDD of a generic type T for which the user provides a mapping function from RDD[T] => RDD[Map[String,Any]]
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@lucarosellini
lucarosellini committed Jun 1, 2015
commit 65b44fa3219538265055285cee072267af0a7b85
13 changes: 11 additions & 2 deletions sql/core/src/main/scala/org/apache/spark/sql/json/JsonRDD.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -44,15 +44,24 @@ private[sql] object JsonRDD extends Logging {

private[sql] def inferSchema(
json: RDD[String],
samplingRatio: Double = 1.0,
samplingRatio: Double,
columnNameOfCorruptRecords: String): StructType = {

inferSchema(json, samplingRatio, columnNameOfCorruptRecords, parseJson)
}

private[sql] def inferSchema[T <: AnyRef](
json: RDD[T],
samplingRatio: Double = 1.0,
columnNameOfCorruptRecords: String,
parseData: (RDD[T], String) => RDD[Map[String, Any]]): StructType = {
require(samplingRatio > 0, s"samplingRatio ($samplingRatio) should be greater than 0")
val schemaData = if (samplingRatio > 0.99) json else json.sample(false, samplingRatio, 1)
val allKeys =
if (schemaData.isEmpty()) {
Set.empty[(String, DataType)]
} else {
parseJson(schemaData, columnNameOfCorruptRecords).map(allKeysWithValueTypes).reduce(_ ++ _)
parseData(json,columnNameOfCorruptRecords).map(allKeysWithValueTypes).reduce(_ ++ _)
}
createSchema(allKeys)
}
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