Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/12135#discussion_r99065474
--- 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 --
(BTW, IMHO, at least for now, building javadoc everytime might be good to
do but not required. We can avoid them at our best in our PRs and then sweep
them when the release is close or in other related PRs if there are.)
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