diff --git a/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/command/RepairHoodieTableCommand.scala b/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/command/RepairHoodieTableCommand.scala
index cc25318c6a4b4..1025a89f653b8 100644
--- a/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/command/RepairHoodieTableCommand.scala
+++ b/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/command/RepairHoodieTableCommand.scala
@@ -67,8 +67,7 @@ case class RepairHoodieTableCommand(tableName: TableIdentifier,
     logInfo(s"Recover all the partitions in $root")
 
     val hoodieCatalogTable = HoodieCatalogTable(spark, table.identifier)
-    val isHiveStyledPartitioning = hoodieCatalogTable.catalogProperties.
-      getOrElse(HoodieTableConfig.HIVE_STYLE_PARTITIONING_ENABLE.key, "true").toBoolean
+    val isHiveStyledPartitioning = hoodieCatalogTable.tableConfig.getHiveStylePartitioningEnable.toBoolean
 
     val partitionSpecsAndLocs: Seq[(TablePartitionSpec, Path)] = hoodieCatalogTable.
       getPartitionPaths.map(partitionPath => {
diff --git a/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestRepairTable.scala b/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestRepairTable.scala
index 498121e1ab4a3..10c2b443c01ce 100644
--- a/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestRepairTable.scala
+++ b/hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/TestRepairTable.scala
@@ -98,6 +98,40 @@ class TestRepairTable extends HoodieSparkSqlTestBase {
     }
   }
 
+  test("Test msck repair external partitioned table") {
+    Seq("true", "false").foreach { hiveStylePartitionEnable =>
+      withTempDir { tmp =>
+        val tableName = generateTableName
+        val basePath = s"${tmp.getCanonicalPath}/$tableName"
+
+        import spark.implicits._
+        val df = Seq((1, "a1", 1000, "2022-10-06", "11"), (2, "a2", 1001, "2022-10-06", "12"))
+          .toDF("id", "name", "ts", "dt", "hh")
+        df.write.format("hudi")
+          .option(TBL_NAME.key(), tableName)
+          .option(RECORDKEY_FIELD.key, "id")
+          .option(PRECOMBINE_FIELD.key, "ts")
+          .option(PARTITIONPATH_FIELD.key, "dt, hh")
+          .option(HIVE_STYLE_PARTITIONING_ENABLE.key, hiveStylePartitionEnable)
+          .mode(SaveMode.Append)
+          .save(basePath)
+
+        spark.sql(
+          s"""
+             | create table $tableName
+             | using hudi
+             | location '$basePath'
+        """.stripMargin)
+        val table = spark.sessionState.sqlParser.parseTableIdentifier(tableName)
+
+        assertResult(Seq())(spark.sessionState.catalog.listPartitionNames(table))
+        spark.sql(s"msck repair table $tableName")
+        assertResult(Seq("dt=2022-10-06/hh=11", "dt=2022-10-06/hh=12"))(
+          spark.sessionState.catalog.listPartitionNames(table))
+      }
+    }
+  }
+
   test("Test msck repair partitioned table [add/drop/sync] partitions") {
     if (HoodieSparkUtils.gteqSpark3_2) {
       Seq("true", "false").foreach { hiveStylePartitionEnable =>