add the test case with years and days as one partition

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

@@ -1474,6 +1474,62 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
     }
   }
 
+  test("SPARK-47094: Support compatible buckets with different partitionKeys and one joinKey ") {
+    val table1 = "tab1e1"
+    val table2 = "table2"
+
+    Seq((2, 4), (4, 2), (2, 6), (6, 2)).foreach {
+      case (table1buckets, table2buckets) =>
+        catalog.clearTables()
+
+        val partition1 = Array(Expressions.years("ts"),
+          bucket(table1buckets, "id"))
+        val partition2 = Array(Expressions.days("ts"),
+          bucket(table2buckets, "id"))
+
+        createTable(table1, schema, partition1)
+
+        sql(s"INSERT INTO testcat.ns.$table1 VALUES " +
+          "(1, 'aa', cast('2020-01-01' as timestamp)), " +
+          "(2, 'bb', cast('2020-01-02' as timestamp)), " +
+          "(3, 'cc', cast('2020-01-03' as timestamp))")
+
+        createTable(table2, schema, partition2)
+
+        sql(s"INSERT INTO testcat.ns.$table2 VALUES " +
+          "(3, 'aa', cast('2020-01-01' as timestamp)), " +
+          "(5, 'bb', cast('2020-01-02' as timestamp)), " +
+          "(6, 'cc', cast('2020-01-03' as timestamp))")
+
+        withSQLConf(
+          SQLConf.REQUIRE_ALL_CLUSTER_KEYS_FOR_CO_PARTITION.key -> "false",
+          SQLConf.V2_BUCKETING_PUSH_PART_VALUES_ENABLED.key -> "true",
+          SQLConf.V2_BUCKETING_PARTIALLY_CLUSTERED_DISTRIBUTION_ENABLED.key -> "false",
+          SQLConf.V2_BUCKETING_ALLOW_JOIN_KEYS_SUBSET_OF_PARTITION_KEYS.key -> "true",
+          SQLConf.V2_BUCKETING_ALLOW_COMPATIBLE_TRANSFORMS.key -> "true") {
+          val df = sql(
+            s"""
+               |${selectWithMergeJoinHint("t1", "t2")}
+               |t1.id, t2.id, t1.ts, t2.ts, t1.data, t2.data
+               |FROM testcat.ns.$table1 t1 JOIN testcat.ns.$table2 t2
+               |ON t1.id = t2.id
+               |ORDER BY t1.ts
+               |""".stripMargin)
+
+          val shuffles = collectShuffles(df.queryExecution.executedPlan)
+          assert(shuffles.isEmpty, "SPJ should be triggered")
+
+          val scans = collectScans(df.queryExecution.executedPlan).map(_.inputRDD.
+            partitions.length)
+
+          val expectedBuckets = Math.min(2, 4)
+
+          assert(scans == Seq(expectedBuckets, expectedBuckets))
+          // Not coming till point
+        }
+    }
+  }
+
   test("SPARK-47094: Support compatible buckets with less join keys than partition keys") {
     val table1 = "tab1e1"
     val table2 = "table2"