Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/11960#discussion_r57599706
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/json/JSONRelation.scala
---
@@ -120,6 +122,39 @@ class DefaultSource extends FileFormat with
DataSourceRegister {
}
}
+ override def buildReader(
+ sqlContext: SQLContext,
+ partitionSchema: StructType,
+ dataSchema: StructType,
+ filters: Seq[Filter],
+ options: Map[String, String]): PartitionedFile =>
Iterator[InternalRow] = {
+ val conf = new
Configuration(sqlContext.sparkContext.hadoopConfiguration)
+ val broadcastedConf =
+ sqlContext.sparkContext.broadcast(new
SerializableConfiguration(conf))
+
+ val parsedOptions: JSONOptions = new JSONOptions(options)
+ val columnNameOfCorruptRecord = parsedOptions.columnNameOfCorruptRecord
+ .getOrElse(sqlContext.conf.columnNameOfCorruptRecord)
+
+ val fullSchema = dataSchema.toAttributes ++
partitionSchema.toAttributes
+ val joinedRow = new JoinedRow()
+
+ file => {
+ val lines = new HadoopFileLinesReader(file,
broadcastedConf.value.value).map(_.toString)
+
+ val rows = JacksonParser.parseJson(
+ lines,
+ dataSchema,
--- End diff --
@yhuai @cloud-fan Is it OK if the schema passed to `parseJson` is different
but compatible to the underlying input data files? I assume yes? Otherwise we
might need the `physicalSchema` argument added in #12002.
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