Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/14947#discussion_r78304894
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
---
@@ -307,20 +308,34 @@ object PartitioningUtils {
/**
* Converts a string to a [[Literal]] with automatic type inference.
Currently only supports
- * [[IntegerType]], [[LongType]], [[DoubleType]],
[[DecimalType.SYSTEM_DEFAULT]], and
- * [[StringType]].
+ * [[IntegerType]], [[LongType]], [[DoubleType]],
[[DecimalType.SYSTEM_DEFAULT]], [[DateType]]
+ * [[TimestampType]], and [[StringType]].
*/
private[datasources] def inferPartitionColumnValue(
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`).
+ require(bigDecimal.scale <= 0)
+ // `DecimalType` conversion can fail when
+ // 1. The precision is bigger than 38.
+ // 2. scale is bigger than precision.
--- End diff --
Ah, I think I should check this requirement. I will update the description
soon too.
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