Github user chenghao-intel commented on a diff in the pull request: https://github.com/apache/spark/pull/8026#discussion_r42451143 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala --- @@ -236,15 +241,22 @@ private[sql] object PartitioningUtils { } /** - * Converts a string to a [[Literal]] with automatic type inference. Currently only supports - * [[IntegerType]], [[LongType]], [[DoubleType]], [[DecimalType.SYSTEM_DEFAULT]], and - * [[StringType]]. + * Converts a string to a [[Literal]] with automatic type inference if no field type specified. + * Auto inference only supports [[IntegerType]], [[LongType]], [[DoubleType]], + * [[DecimalType.SYSTEM_DEFAULT]], and [[StringType]]. */ private[sql] def inferPartitionColumnValue( + expectedDT: Option[DataType], --- End diff -- In the master branch, if `typeInference == false`, it means the data type of partition key will be `StringType` by default, otherwise, it's probably will be `IntegerType`, `LongType` etc. depends on the real value the partition key is.
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