From 64e527215831b3858e8ea6622862654965cdc9ba Mon Sep 17 00:00:00 2001
From: Uros Bojanic <221401595+uros-b@users.noreply.github.com>
Date: Sat, 8 Aug 2026 09:46:21 +0000
Subject: [PATCH] Initial commit

---
 .../apache/spark/sql/DataFrameStatFunctions.scala    | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/sql/api/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala b/sql/api/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala
index d6d3a19edc168..8d13ffea55c15 100644
--- a/sql/api/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala
+++ b/sql/api/src/main/scala/org/apache/spark/sql/DataFrameStatFunctions.scala
@@ -489,7 +489,7 @@ abstract class DataFrameStatFunctions {
    * @param seed
    *   random seed
    * @return
-   *   a `CountMinSketch` over column `colName`
+   *   a `CountMinSketch` over column `col`
    * @since 2.0.0
    */
   def countMinSketch(col: Column, depth: Int, width: Int, seed: Int): CountMinSketch = {
@@ -510,7 +510,7 @@ abstract class DataFrameStatFunctions {
    * @param seed
    *   random seed
    * @return
-   *   a `CountMinSketch` over column `colName`
+   *   a `CountMinSketch` over column `col`
    * @since 2.0.0
    */
   def countMinSketch(col: Column, eps: Double, confidence: Double, seed: Int): CountMinSketch =
@@ -529,6 +529,8 @@ abstract class DataFrameStatFunctions {
    *   expected number of items which will be put into the filter.
    * @param fpp
    *   expected false positive probability of the filter.
+   * @return
+   *   a `BloomFilter` over column `colName`
    * @since 2.0.0
    */
   def bloomFilter(colName: String, expectedNumItems: Long, fpp: Double): BloomFilter = {
@@ -544,6 +546,8 @@ abstract class DataFrameStatFunctions {
    *   expected number of items which will be put into the filter.
    * @param fpp
    *   expected false positive probability of the filter.
+   * @return
+   *   a `BloomFilter` over column `col`
    * @since 2.0.0
    */
   def bloomFilter(col: Column, expectedNumItems: Long, fpp: Double): BloomFilter = {
@@ -560,6 +564,8 @@ abstract class DataFrameStatFunctions {
    *   expected number of items which will be put into the filter.
    * @param numBits
    *   expected number of bits of the filter.
+   * @return
+   *   a `BloomFilter` over column `colName`
    * @since 2.0.0
    */
   def bloomFilter(colName: String, expectedNumItems: Long, numBits: Long): BloomFilter = {
@@ -575,6 +581,8 @@ abstract class DataFrameStatFunctions {
    *   expected number of items which will be put into the filter.
    * @param numBits
    *   expected number of bits of the filter.
+   * @return
+   *   a `BloomFilter` over column `col`
    * @since 2.0.0
    */
   def bloomFilter(col: Column, expectedNumItems: Long, numBits: Long): BloomFilter = withOrigin {