Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/5799#discussion_r29406677
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala ---
@@ -0,0 +1,55 @@
+/*
+* Licensed to the Apache Software Foundation (ASF) under one or more
+* contributor license agreements. See the NOTICE file distributed with
+* this work for additional information regarding copyright ownership.
+* The ASF licenses this file to You under the Apache License, Version 2.0
+* (the "License"); you may not use this file except in compliance with
+* the License. You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+package org.apache.spark.sql
+
+import org.apache.spark.annotation.Experimental
+import org.apache.spark.sql.execution.stat.FrequentItems
+
+/**
+ * :: Experimental ::
+ * Statistic functions for [[DataFrame]]s.
+ */
+@Experimental
+final class DataFrameStatFunctions private[sql](df: DataFrame) {
+
+ /**
+ * Finding frequent items for columns, possibly with false positives.
Using the
+ * frequent element count algorithm described in
+ * [[http://dx.doi.org/10.1145/762471.762473, proposed by Karp,
Schenker, and Papadimitriou]].
+ *
+ * @param cols the names of the columns to search frequent items in
+ * @param support The minimum frequency for an item to be considered
`frequent`
+ * @return A Local DataFrame with the Array of frequent items for each
column.
+ */
+ def freqItems(cols: Seq[String], support: Double): DataFrame = {
--- End diff --
don't forget to add java.util.List ones
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