Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/15994#discussion_r90635187
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala ---
@@ -130,6 +130,13 @@ final class DataFrameNaFunctions private[sql](df:
DataFrame) {
/**
* Returns a new [[DataFrame]] that replaces null or NaN values in
numeric columns with `value`.
*
+ * @since 2.1.0
+ */
+ def fill(value: Long): DataFrame = fill(value, df.columns)
+
+ /**
+ * Returns a new [[DataFrame]] that replaces null or NaN values in
numeric columns with `value`.
--- End diff --
@windpiger I don't think this was quite resolved -- you need to back-tick
DataFrame unfortunately to get it to work with javadoc 8.
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