diff --git a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala
index d8f953fba5a8b927e9d40f102ee89c726a6365a9..f6ab770e87a57e3a1127fef5cc2248ebd9da35de 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameNaFunctions.scala
@@ -128,7 +128,7 @@ final class DataFrameNaFunctions private[sql](df: DataFrame) {
   /**
    * Returns a new `DataFrame` that replaces null or NaN values in numeric columns with `value`.
    *
-   * @since 2.2.0
+   * @since 2.1.1
    */
   def fill(value: Long): DataFrame = fill(value, df.columns)
 
@@ -149,7 +149,7 @@ final class DataFrameNaFunctions private[sql](df: DataFrame) {
    * Returns a new `DataFrame` that replaces null or NaN values in specified numeric columns.
    * If a specified column is not a numeric column, it is ignored.
    *
-   * @since 2.2.0
+   * @since 2.1.1
    */
   def fill(value: Long, cols: Array[String]): DataFrame = fill(value, cols.toSeq)
 
@@ -165,7 +165,7 @@ final class DataFrameNaFunctions private[sql](df: DataFrame) {
    * (Scala-specific) Returns a new `DataFrame` that replaces null or NaN values in specified
    * numeric columns. If a specified column is not a numeric column, it is ignored.
    *
-   * @since 2.2.0
+   * @since 2.1.1
    */
   def fill(value: Long, cols: Seq[String]): DataFrame = fillValue(value, cols)