Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/12179#discussion_r60264586
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
---
@@ -288,15 +288,25 @@ case class DataSource(
val fileCatalog: FileCatalog =
new HDFSFileCatalog(sqlContext, options, globbedPaths,
partitionSchema)
- val dataSchema = userSpecifiedSchema.orElse {
+
+ val dataSchema = userSpecifiedSchema.map { schema =>
+ val equality =
+ if (sqlContext.conf.caseSensitiveAnalysis) {
+
org.apache.spark.sql.catalyst.analysis.caseSensitiveResolution
+ } else {
+
org.apache.spark.sql.catalyst.analysis.caseInsensitiveResolution
+ }
+
+ StructType(schema.filterNot(f =>
partitionColumns.exists(equality(_, f.name))))
+ }.orElse {
--- End diff --
I am thinking about expose a interface in DFReader to allow users specify
partitioning columns if a schema is provided. We can fix the semantic in a
separate PR.
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