Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/12135#discussion_r99071851 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala --- @@ -75,13 +76,43 @@ final class DataFrameStatFunctions private[sql](df: DataFrame) { } /** + * Calculates the approximate quantiles of numerical columns of a DataFrame. + * @see [[DataFrameStatsFunctions.approxQuantile(col:Str* approxQuantile]] for + * detailed description. + * + * Note that rows containing any null or NaN values values will be removed before + * calculation. + * @param cols the names of the numerical columns + * @param probabilities a list of quantile probabilities + * Each number must belong to [0, 1]. + * For example 0 is the minimum, 0.5 is the median, 1 is the maximum. + * @param relativeError The relative target precision to achieve (>= 0). --- End diff -- Ah, that JIRA is actually here - https://issues.apache.org/jira/browse/SPARK-18692 if we are talking about the same thing :)
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