From 61e2497f36a9e38b06b512ae9552a24f26448a9e Mon Sep 17 00:00:00 2001 From: DB Tsai Date: Tue, 11 Apr 2017 00:21:23 +0000 Subject: [PATCH] update spark version --- .../scala/org/apache/spark/sql/DataFrameNaFunctions.scala | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) 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 d8f953fba5a8b..f6ab770e87a57 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)