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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