diff --git a/integration_tests/src/main/python/csv_test.py b/integration_tests/src/main/python/csv_test.py
index 575446963af..3067bb1ee5b 100644
--- a/integration_tests/src/main/python/csv_test.py
+++ b/integration_tests/src/main/python/csv_test.py
@@ -127,9 +127,12 @@
 _double_schema = StructType([
     StructField('number', DoubleType())])
 
-_decimal_schema = StructType([
+_decimal_10_2_schema = StructType([
     StructField('number', DecimalType(10, 2))])
 
+_decimal_10_3_schema = StructType([
+    StructField('number', DecimalType(10, 3))])
+
 _number_as_string_schema = StructType([
     StructField('number', StringType())])
 
@@ -223,8 +226,9 @@ def read_impl(spark):
     pytest.param('simple_int_values.csv', _long_schema, {'header': 'true'}),
     ('simple_int_values.csv', _float_schema, {'header': 'true'}),
     ('simple_int_values.csv', _double_schema, {'header': 'true'}),
-    ('simple_int_values.csv', _decimal_schema, {'header': 'true'}),
-    ('decimals.csv', _decimal_schema, {'header': 'true'}),
+    ('simple_int_values.csv', _decimal_10_2_schema, {'header': 'true'}),
+    ('decimals.csv', _decimal_10_2_schema, {'header': 'true'}),
+    ('decimals.csv', _decimal_10_3_schema, {'header': 'true'}),
     pytest.param('empty_int_values.csv', _empty_byte_schema, {'header': 'true'}),
     pytest.param('empty_int_values.csv', _empty_short_schema, {'header': 'true'}),
     pytest.param('empty_int_values.csv', _empty_int_schema, {'header': 'true'}),
@@ -240,7 +244,8 @@ def read_impl(spark):
     pytest.param('simple_float_values.csv', _long_schema, {'header': 'true'}),
     pytest.param('simple_float_values.csv', _float_schema, {'header': 'true'}),
     pytest.param('simple_float_values.csv', _double_schema, {'header': 'true'}),
-    pytest.param('simple_float_values.csv', _decimal_schema, {'header': 'true'}),
+    pytest.param('simple_float_values.csv', _decimal_10_2_schema, {'header': 'true'}),
+    pytest.param('simple_float_values.csv', _decimal_10_3_schema, {'header': 'true'}),
     pytest.param('simple_boolean_values.csv', _bool_schema, {'header': 'true'}),
     pytest.param('ints_with_whitespace.csv', _number_as_string_schema, {'header': 'true'}, marks=pytest.mark.xfail(reason='https://github.com/NVIDIA/spark-rapids/issues/2069')),
     pytest.param('ints_with_whitespace.csv', _byte_schema, {'header': 'true'}, marks=pytest.mark.xfail(reason='https://github.com/NVIDIA/spark-rapids/issues/130'))
diff --git a/integration_tests/src/main/python/json_test.py b/integration_tests/src/main/python/json_test.py
index 26f8cd24da5..6c27df15572 100644
--- a/integration_tests/src/main/python/json_test.py
+++ b/integration_tests/src/main/python/json_test.py
@@ -59,9 +59,12 @@
 _double_schema = StructType([
     StructField('number', DoubleType())])
 
-_decimal_schema = StructType([
+_decimal_10_2_schema = StructType([
     StructField('number', DecimalType(10, 2))])
 
+_decimal_10_3_schema = StructType([
+    StructField('number', DecimalType(10, 3))])
+
 _string_schema = StructType([
     StructField('a', StringType())])
 
@@ -201,7 +204,7 @@ def test_json_ts_formats_round_trip(spark_tmp_path, date_format, ts_part, v1_ena
     pytest.param('floats_edge_cases.json', marks=pytest.mark.xfail(reason='https://github.com/NVIDIA/spark-rapids/issues/4647')),
     'decimals.json',
 ])
-@pytest.mark.parametrize('schema', [_bool_schema, _byte_schema, _short_schema, _int_schema, _long_schema, _float_schema, _double_schema, _decimal_schema])
+@pytest.mark.parametrize('schema', [_bool_schema, _byte_schema, _short_schema, _int_schema, _long_schema, _float_schema, _double_schema, _decimal_10_2_schema, _decimal_10_3_schema])
 @pytest.mark.parametrize('read_func', [read_json_df, read_json_sql])
 @pytest.mark.parametrize('allow_non_numeric_numbers', ["true", "false"])
 @pytest.mark.parametrize('allow_numeric_leading_zeros', ["true"])
diff --git a/integration_tests/src/test/resources/decimals.csv b/integration_tests/src/test/resources/decimals.csv
index a199a772d0a..b8e83af6fff 100644
--- a/integration_tests/src/test/resources/decimals.csv
+++ b/integration_tests/src/test/resources/decimals.csv
@@ -11,4 +11,6 @@
 12.34
 12.3456
 12345678.12
+33.545454
+33.454545
 
diff --git a/integration_tests/src/test/resources/decimals.json b/integration_tests/src/test/resources/decimals.json
index 5a8fd685ff9..0a98fd05474 100644
--- a/integration_tests/src/test/resources/decimals.json
+++ b/integration_tests/src/test/resources/decimals.json
@@ -10,3 +10,5 @@
 { "number": 12.3456 }
 { "number": 12.345678 }
 { "number": 123456.78 }
+{ "number": 33.454545 }
+{ "number": 33.545454 }
diff --git a/sql-plugin/src/main/scala/org/apache/spark/sql/catalyst/json/rapids/GpuJsonScan.scala b/sql-plugin/src/main/scala/org/apache/spark/sql/catalyst/json/rapids/GpuJsonScan.scala
index abaf13d5728..cbc561c8811 100644
--- a/sql-plugin/src/main/scala/org/apache/spark/sql/catalyst/json/rapids/GpuJsonScan.scala
+++ b/sql-plugin/src/main/scala/org/apache/spark/sql/catalyst/json/rapids/GpuJsonScan.scala
@@ -371,7 +371,7 @@ class JsonPartitionReader(
   /**
    * JSON has strict rules about valid numeric formats. See https://www.json.org/ for specification.
    *
-   * Spark then has it's own rules for supporting NaN and Infinity, which are not
+   * Spark then has its own rules for supporting NaN and Infinity, which are not
    * valid numbers in JSON.
    */
   private def sanitizeNumbers(input: ColumnVector): ColumnVector = {