Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8026#discussion_r42583431
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -544,11 +544,35 @@ abstract class HadoopFsRelation
private[sql](maybePartitionSpec: Option[Partitio
}
private def discoverPartitions(): PartitionSpec = {
- val typeInference =
sqlContext.conf.partitionColumnTypeInferenceEnabled()
// We use leaf dirs containing data files to discover the schema.
val leafDirs = fileStatusCache.leafDirToChildrenFiles.keys.toSeq
- PartitioningUtils.parsePartitions(leafDirs,
PartitioningUtils.DEFAULT_PARTITION_NAME,
- typeInference)
+ userDefinedPartitionColumns match {
+ case Some(schema) =>
+ val spec = PartitioningUtils.parsePartitions(
+ leafDirs, PartitioningUtils.DEFAULT_PARTITION_NAME, false)
+
+ // Without auto inference, all of value in the `row` should be
null or in StringType,
+ // we need to cast into the data type that user specified.
+ def castPartitionValueWithGivenSchema(row: InternalRow, schema:
StructType)
+ : InternalRow = {
--- End diff --
In order to avoid the weird wrapping here, I think you might be able to
just leave off the `: InternalRow` here, unless you somehow need it to appease
MiMa.
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