Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14947#discussion_r77581016
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
---
@@ -314,13 +315,30 @@ object PartitioningUtils {
raw: String,
defaultPartitionName: String,
typeInference: Boolean): Literal = {
+ val decimalTry = Try {
+ // `BigDecimal` conversion can fail when the `field` is not a form
of number.
+ val bigDecimal = new JBigDecimal(raw)
+ // It reduces the cases for decimals by disallowing values having
scale (eg. `1.1`).
+ if (bigDecimal.scale <= 0) {
+ // `DecimalType` conversion can fail when
+ // 1. The precision is bigger than 38.
+ // 2. scale is bigger than precision.
+ Literal(bigDecimal)
+ } else {
+ throw new RuntimeException
+ }
+ }
+
if (typeInference) {
// First tries integral types
Try(Literal.create(Integer.parseInt(raw), IntegerType))
.orElse(Try(Literal.create(JLong.parseLong(raw), LongType)))
+ .orElse(decimalTry)
// Then falls back to fractional types
.orElse(Try(Literal.create(JDouble.parseDouble(raw), DoubleType)))
- .orElse(Try(Literal(new JBigDecimal(raw))))
--- End diff --
IIUC, this was never being used before.
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