diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala
index 9ffc2b5dd8a56..f53a226df999b 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowConverter.scala
@@ -214,9 +214,22 @@ private[parquet] class ParquetRowConverter(
       updater: ParentContainerUpdater): Converter with HasParentContainerUpdater = {
 
     catalystType match {
-      case BooleanType | IntegerType | LongType | FloatType | DoubleType | BinaryType =>
+      case BooleanType | IntegerType | FloatType | DoubleType | BinaryType =>
         new ParquetPrimitiveConverter(updater)
 
+      /**
+       * [SPARK-17477] When reading a hive table of parquet files with schema evolution
+       * from Int to Long and if hive metastore has Long as its type while parquet files
+       * have Int, SparkSQL need to figure out the actual type in the parquet files.
+       * Otherwise, it will result in java.lang.ClassCastException: [[MutableLong]] cannot
+       * be cast to [[MutableInt]].
+       */
+      case LongType =>
+        new ParquetPrimitiveConverter(updater) {
+          override def addInt(value: Int): Unit =
+            updater.setLong(value.asInstanceOf[Long])
+        }
+
       case ByteType =>
         new ParquetPrimitiveConverter(updater) {
           override def addInt(value: Int): Unit =