Revert "[SPARK-49179][SQL] Fix v2 multi bucketed inner joins throw As…

…sertionError"

This reverts commit 1dd558c.

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

@@ -547,7 +547,7 @@ case class EnsureRequirements(
   private def createKeyGroupedShuffleSpec(
       partitioning: Partitioning,
       distribution: ClusteredDistribution): Option[KeyGroupedShuffleSpec] = {
-    def tryCreate(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
+    def check(partitioning: KeyGroupedPartitioning): Option[KeyGroupedShuffleSpec] = {
       val attributes = partitioning.expressions.flatMap(_.collectLeaves())
       val clustering = distribution.clustering
 
@@ -567,10 +567,11 @@ case class EnsureRequirements(
     }
 
     partitioning match {
-      case p: KeyGroupedPartitioning => tryCreate(p)
+      case p: KeyGroupedPartitioning => check(p)
       case PartitioningCollection(partitionings) =>
         val specs = partitionings.map(p => createKeyGroupedShuffleSpec(p, distribution))
-        specs.filter(_.isDefined).map(_.get).headOption
+        assert(specs.forall(_.isEmpty) || specs.forall(_.isDefined))
+        specs.head
       case _ => None
     }
   }

sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala

@@ -328,28 +328,6 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
       .add("price", FloatType)
       .add("time", TimestampType)
 
-  test("SPARK-49179: Fix v2 multi bucketed inner joins throw AssertionError") {
-    val cols = Array(
-      Column.create("id", LongType),
-      Column.create("name", StringType))
-    val buckets = Array(bucket(8, "id"))
-
-    withTable("t1", "t2", "t3") {
-      Seq("t1", "t2", "t3").foreach { t =>
-        createTable(t, cols, buckets)
-        sql(s"INSERT INTO testcat.ns.$t VALUES (1, 'aa'), (2, 'bb'), (3, 'cc')")
-      }
-      val df = sql(
-        """
-          |SELECT t1.id, t2.id, t3.name FROM testcat.ns.t1
-          |JOIN testcat.ns.t2 ON t1.id = t2.id
-          |JOIN testcat.ns.t3 ON t1.id = t3.id
-          |""".stripMargin)
-      checkAnswer(df, Seq(Row(1, 1, "aa"), Row(2, 2, "bb"), Row(3, 3, "cc")))
-      assert(collectShuffles(df.queryExecution.executedPlan).isEmpty)
-    }
-  }
-
   test("partitioned join: join with two partition keys and matching & sorted partitions") {
     val items_partitions = Array(bucket(8, "id"), days("arrive_time"))
     createTable(items, items_schema, items_partitions)