Formatting

sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/functions/ReducibleFunction.java

@@ -61,12 +61,12 @@
 public interface ReducibleFunction<I, O> {
 
   /**
-   * This method is for parameterized functions.
+   * This method is for the bucket function.
    *
-   * If this parameterized function is 'reducible' on another bucket function,
+   * If this bucket function is 'reducible' on another bucket function,
    * return the {@link Reducer} function.
    * <p>
-   * Example to return reducer for reducing f_source = bucket(4, x) on f_target = bucket(2, x)
+   * For example, to return reducer for reducing f_source = bucket(4, x) on f_target = bucket(2, x)
    * <ul>
    *     <li>thisBucketFunction = bucket</li>
    *     <li>thisNumBuckets = 4</li>
@@ -79,10 +79,10 @@ public interface ReducibleFunction<I, O> {
    * @param otherNumBuckets parameter for the other function
    * @return a reduction function if it is reducible, null if not
    */
-  default Reducer<I, O> bucketReducer(
-    int thisNumBuckets,
-    ReducibleFunction<?, ?> otherBucketFunction,
-    int otherNumBuckets) {
+  default Reducer<I, O> reducer(
+      int thisNumBuckets,
+      ReducibleFunction<?, ?> otherBucketFunction,
+      int otherNumBuckets) {
     throw new UnsupportedOperationException();
   }
 
@@ -100,7 +100,7 @@ default Reducer<I, O> bucketReducer(
    * @param otherFunction the other function
    * @return a reduction function if it is reducible, null if not.
    */
-  default Reducer<I, O> bucketReducer(ReducibleFunction<?, ?> otherFunction) {
+  default Reducer<I, O> reducer(ReducibleFunction<?, ?> otherFunction) {
     throw new UnsupportedOperationException();
   }
 }

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/TransformExpression.scala

@@ -96,14 +96,15 @@ case class TransformExpression(
   }
 
   // Return a Reducer for a reducible function on another reducible function
-  private def reducer(thisFunction: ReducibleFunction[_, _],
-    thisNumBucketsOpt: Option[Int],
-    otherFunction: ReducibleFunction[_, _],
-    otherNumBucketsOpt: Option[Int]): Option[Reducer[_, _]] = {
+  private def reducer(
+      thisFunction: ReducibleFunction[_, _],
+      thisNumBucketsOpt: Option[Int],
+      otherFunction: ReducibleFunction[_, _],
+      otherNumBucketsOpt: Option[Int]): Option[Reducer[_, _]] = {
     val res = (thisNumBucketsOpt, otherNumBucketsOpt) match {
       case (Some(numBuckets), Some(otherNumBuckets)) =>
-        thisFunction.bucketReducer(numBuckets, otherFunction, otherNumBuckets)
-      case _ => thisFunction.bucketReducer(otherFunction)
+        thisFunction.reducer(numBuckets, otherFunction, otherNumBuckets)
+      case _ => thisFunction.reducer(otherFunction)
     }
     Option(res)
   }

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/physical/partitioning.scala

@@ -881,9 +881,9 @@ case class KeyGroupedShuffleSpec(
 
 object KeyGroupedShuffleSpec {
   def reducePartitionValue(
-    row: InternalRow,
-    expressions: Seq[Expression],
-    reducers: Seq[Option[Reducer[_, _]]]):
+      row: InternalRow,
+      expressions: Seq[Expression],
+      reducers: Seq[Option[Reducer[_, _]]]):
     InternalRowComparableWrapper = {
     val partitionVals = row.toSeq(expressions.map(_.dataType))
     val reducedRow = partitionVals.zip(reducers).map{

sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala

@@ -569,8 +569,8 @@ case class EnsureRequirements(
   }
 
   private def reduceCommonPartValues(commonPartValues: Seq[(InternalRow, Int)],
-    expressions: Seq[Expression],
-    reducers: Option[Seq[Option[Reducer[_, _]]]]) = {
+      expressions: Seq[Expression],
+      reducers: Option[Seq[Option[Reducer[_, _]]]]) = {
     reducers match {
       case Some(reducers) => commonPartValues.groupBy { case (row, _) =>
         KeyGroupedShuffleSpec.reducePartitionValue(row, expressions, reducers)

sql/core/src/test/scala/org/apache/spark/sql/connector/catalog/functions/transformFunctions.scala

@@ -86,10 +86,10 @@ object BucketFunction extends ScalarFunction[Int] with ReducibleFunction[Int, In
     (input.getLong(1) % input.getInt(0)).toInt
   }
 
-  override def bucketReducer(
-    thisNumBuckets: Int,
-    otherFunc: ReducibleFunction[_, _],
-    otherNumBuckets: Int): Reducer[Int, Int] = {
+  override def reducer(
+      thisNumBuckets: Int,
+      otherFunc: ReducibleFunction[_, _],
+      otherNumBuckets: Int): Reducer[Int, Int] = {
 
     if (otherFunc == BucketFunction) {
       if ((thisNumBuckets > otherNumBuckets)