Github user falaki commented on a diff in the pull request:
https://github.com/apache/spark/pull/11724#discussion_r56385761
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -108,14 +109,38 @@ private[csv] object CSVInferSchema {
}
private def tryParseDouble(field: String): DataType = {
- if ((allCatch opt field.toDouble).isDefined) {
+ val doubleTry = allCatch opt field.toDouble
--- End diff --
If we encounter a field that is just a long integer value, it is best
represented as Decimal. If it has fractions then it must be a double. You are
right all numeric types without fractions can be decimal.
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