diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JDBCRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JDBCRDD.scala
index 95935ba874..4189dfcf95 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JDBCRDD.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/JDBCRDD.scala
@@ -300,7 +300,7 @@ private[sql] class JDBCRDD(
   abstract class JDBCConversion
   case object BooleanConversion extends JDBCConversion
   case object DateConversion extends JDBCConversion
-  case object DecimalConversion extends JDBCConversion
+  case class  DecimalConversion(precisionInfo: Option[(Int, Int)]) extends JDBCConversion
   case object DoubleConversion extends JDBCConversion
   case object FloatConversion extends JDBCConversion
   case object IntegerConversion extends JDBCConversion
@@ -317,8 +317,8 @@ private[sql] class JDBCRDD(
     schema.fields.map(sf => sf.dataType match {
       case BooleanType           => BooleanConversion
       case DateType              => DateConversion
-      case DecimalType.Unlimited => DecimalConversion
-      case DecimalType.Fixed(d)  => DecimalConversion
+      case DecimalType.Unlimited => DecimalConversion(None)
+      case DecimalType.Fixed(d)  => DecimalConversion(Some(d))
       case DoubleType            => DoubleConversion
       case FloatType             => FloatConversion
       case IntegerType           => IntegerConversion
@@ -375,7 +375,22 @@ private[sql] class JDBCRDD(
               } else {
                 mutableRow.update(i, null)
               }
-            case DecimalConversion    =>
+            // When connecting with Oracle DB through JDBC, the precision and scale of BigDecimal
+            // object returned by ResultSet.getBigDecimal is not correctly matched to the table
+            // schema reported by ResultSetMetaData.getPrecision and ResultSetMetaData.getScale.
+            // If inserting values like 19999 into a column with NUMBER(12, 2) type, you get through
+            // a BigDecimal object with scale as 0. But the dataframe schema has correct type as
+            // DecimalType(12, 2). Thus, after saving the dataframe into parquet file and then
+            // retrieve it, you will get wrong result 199.99.
+            // So it is needed to set precision and scale for Decimal based on JDBC metadata.
+            case DecimalConversion(Some((p, s))) =>
+              val decimalVal = rs.getBigDecimal(pos)
+              if (decimalVal == null) {
+                mutableRow.update(i, null)
+              } else {
+                mutableRow.update(i, Decimal(decimalVal, p, s))
+              }
+            case DecimalConversion(None) =>
               val decimalVal = rs.getBigDecimal(pos)
               if (decimalVal == null) {
                 mutableRow.update(i, null)