HyukjinKwon commented on code in PR #45776:
URL: https://github.com/apache/spark/pull/45776#discussion_r1545520867
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sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala:
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@@ -538,7 +539,10 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
* @since 2.0.0
*/
@scala.annotation.varargs
- def csv(paths: String*): DataFrame = format("csv").load(paths : _*)
+ def csv(paths: String*): DataFrame = {
+ require(paths.nonEmpty, "The paths cannot be empty")
Review Comment:
While I agree with the intention of setting the behaviour down, I concern
about behaviour changes. Empty Dataset is a concept existent, e.g.,
`SparkSession.emptyDataset`.
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