Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/16680#discussion_r97706016
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -39,22 +37,76 @@ private[csv] object CSVInferSchema {
* 3. Replace any null types with string type
*/
def infer(
- tokenRdd: RDD[Array[String]],
- header: Array[String],
+ csv: Dataset[String],
+ caseSensitive: Boolean,
options: CSVOptions): StructType = {
- val startType: Array[DataType] =
Array.fill[DataType](header.length)(NullType)
- val rootTypes: Array[DataType] =
- tokenRdd.aggregate(startType)(inferRowType(options), mergeRowTypes)
-
- val structFields = header.zip(rootTypes).map { case (thisHeader,
rootType) =>
- val dType = rootType match {
- case _: NullType => StringType
- case other => other
+ val firstLine: String = CSVUtils.filterCommentAndEmpty(csv,
options).first()
--- End diff --
Both `CSVUtils.filterCommentAndEmpty` usages here and below should exactly
the same up to my knowledge but I let them as are just simply to keep the
behaviour for now.
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