Github user tanejagagan commented on a diff in the pull request: https://github.com/apache/spark/pull/16497#discussion_r95307385 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Percentile.scala --- @@ -51,16 +51,31 @@ import org.apache.spark.util.collection.OpenHashMap _FUNC_(col, array(percentage1 [, percentage2]...)) - Returns the exact percentile value array of numeric column `col` at the given percentage(s). Each value of the percentage array must be between 0.0 and 1.0. - """) + + _FUNC_(col, frequency, percentage) - Returns the exact percentile value of numeric + column `col` with frequency column `frequency` at the given percentage. The value of + percentage must be between 0.0 and 1.0. + + _FUNC_(col, frequency, array(percentage1 [, percentage2]...)) - Returns the exact percentile + value array of numeric column `col` with frequency column `frequency` at the given + percentage(s).Each value of the percentage array must be between 0.0 and 1.0. + + """) case class Percentile( child: Expression, + frequency : Expression, --- End diff -- i think frequenctExpression would be correct name but i have sequence them as they would appear in the SQL select percentile( col, frq, percentage ) from table where frq is Optional
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