cloud-fan commented on a change in pull request #26102: [SPARK-29448][SQL] 
Support the `INTERVAL` type by Parquet datasource
URL: https://github.com/apache/spark/pull/26102#discussion_r344585132
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
 ##########
 @@ -498,10 +498,8 @@ case class DataSource(
       outputColumnNames: Seq[String],
       physicalPlan: SparkPlan): BaseRelation = {
     val outputColumns = DataWritingCommand.logicalPlanOutputWithNames(data, 
outputColumnNames)
-    if 
(outputColumns.map(_.dataType).exists(_.isInstanceOf[CalendarIntervalType])) {
 
 Review comment:
   interval type is kind of an interval type for now. It's a big decision if we 
can read/write it from/to data sources.

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