Github user rberenguel commented on a diff in the pull request: https://github.com/apache/spark/pull/18164#discussion_r119812842 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala --- @@ -196,6 +196,24 @@ final class DataFrameNaFunctions private[sql](df: DataFrame) { def fill(value: String, cols: Seq[String]): DataFrame = fillValue(value, cols) /** + * Returns a new `DataFrame` that replaces null values in boolean columns with `value`. + */ + def fill(value: Boolean): DataFrame = fill(value, df.columns) + + /** + * (Scala-specific) Returns a new `DataFrame` that replaces null or NaN values in specified --- End diff -- Oh, right. I copied the defs and docs from double, as it shows. Will change, NaN booleans would be weird indeed
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