Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/16976#discussion_r120030581
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala ---
@@ -463,6 +463,7 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
* <li>`columnNameOfCorruptRecord` (default is the value specified in
* `spark.sql.columnNameOfCorruptRecord`): allows renaming the new field
having malformed string
* created by `PERMISSIVE` mode. This overrides
`spark.sql.columnNameOfCorruptRecord`.</li>
+ * <li>`wholeFile` (default `false`): parse one record, which may span
multiple lines.</li>
--- End diff --
No, they are different. JSON reads whole file as a record whereas CSV reads
each record when it meets multiple lines in a column.
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