Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/12135#discussion_r99059884
--- 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).
+ * If set to zero, the exact quantiles are computed, which could be
very expensive.
+ * Note that values greater than 1 are accepted but give the same
result as 1.
--- End diff --
It sounds like you did not add any test case to verify it.
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