Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/13104#discussion_r63798411
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -457,7 +457,8 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
*/
@scala.annotation.varargs
def text(paths: String*): Dataset[String] = {
- format("text").load(paths :
_*).as[String](sparkSession.implicits.newStringEncoder)
+ format("text").load(paths : _*).select("value")
--- End diff --
Yeah, I think the semantic of dropping the columns is okay (I'm not sure
the other option makes sense to me). I'm a little concerned that we are still
doing partition discovery, but I guess removing that is only an optimization.
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