Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/11262#discussion_r53508447
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -345,6 +346,46 @@ class DataFrameReader private[sql](sqlContext:
SQLContext) extends Logging {
}
/**
+ * Loads a CSV file and returns the result as a [[DataFrame]].
+ *
+ * This function goes through the input once to determine the input
schema. If you know the
+ * schema in advance, use the version that specifies the schema to avoid
the extra scan.
+ *
+ * @since 2.0.0
+ */
+ def csv(paths: String*): DataFrame = format("csv").load(paths : _*)
--- End diff --
I'd keep only the path one, and remove the rest.
Also you need to add the scala annotation to enable calling this in Java.
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