Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/5842#discussion_r29528275
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala ---
@@ -28,6 +28,20 @@ import org.apache.spark.sql.execution.stat.FrequentItems
final class DataFrameStatFunctions private[sql](df: DataFrame) {
/**
+ * Computes a pair-wise frequency table of the given columns. Also known
as a contingency table.
+ * The number of distinct values for each column should be less than
Int.MaxValue. The first
--- End diff --
We won't be able to handle `Int.MaxValue - 1`, which is still too large.
Maybe we should say the number of distinct value pairs cannot be too large.
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