Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/11550#discussion_r61664186
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -78,7 +79,63 @@ private[csv] object CSVInferSchema {
* Infer type of string field. Given known type Double, and a string
"1", there is no
* point checking if it is an Int, as the final type must be Double or
higher.
*/
- def inferField(typeSoFar: DataType, field: String, nullValue: String =
""): DataType = {
+ def inferField(typeSoFar: DataType,
+ field: String,
+ nullValue: String = "",
+ dateFormat: SimpleDateFormat = null): DataType = {
+ def tryParseInteger(field: String): DataType = if ((allCatch opt
field.toInt).isDefined) {
--- End diff --
I see.. Actually, I did not move them for no reason. It was becuase
`tryParseTimestamp()` refers `dateFormat` but did not want to add another
argument.
Anyway, let me make this like the original but taking another argument
(`CSVOptions`).
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