diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
index fe1fa87891..dfa746f7c7 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JacksonParser.scala
@@ -330,8 +330,12 @@ class JacksonParser(
     case udt: UserDefinedType[_] =>
       makeConverter(udt.sqlType)
 
-    // We don't actually hit this exception though, we keep it for understandability
-    case _ => throw QueryExecutionErrors.unsupportedTypeError(dataType)
+    case _ =>
+      (parser: JsonParser) =>
+        // Here, we pass empty `PartialFunction` so that this case can be
+        // handled as a failed conversion. It will throw an exception as
+        // long as the value is not null.
+        parseJsonToken[AnyRef](parser, dataType)(PartialFunction.empty[JsonToken, AnyRef])
   }
 
   /**
diff --git a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out
index fae7721542..fe83675617 100644
--- a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp-ansi.sql.out
@@ -661,10 +661,9 @@ You may get a different result due to the upgrading of Spark 3.0: Fail to recogn
 -- !query
 select from_json('{"t":"26/October/2015"}', 't Timestamp', map('timestampFormat', 'dd/MMMMM/yyyy'))
 -- !query schema
-struct<>
+struct<from_json({"t":"26/October/2015"}):struct<t:timestamp_ntz>>
 -- !query output
-java.lang.Exception
-Unsupported type: timestamp_ntz
+{"t":null}
 
 
 -- !query
diff --git a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out
index c6de535807..b8a68005eb 100644
--- a/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/timestampNTZ/timestamp.sql.out
@@ -642,10 +642,9 @@ You may get a different result due to the upgrading of Spark 3.0: Fail to recogn
 -- !query
 select from_json('{"t":"26/October/2015"}', 't Timestamp', map('timestampFormat', 'dd/MMMMM/yyyy'))
 -- !query schema
-struct<>
+struct<from_json({"t":"26/October/2015"}):struct<t:timestamp_ntz>>
 -- !query output
-java.lang.Exception
-Unsupported type: timestamp_ntz
+{"t":null}
 
 
 -- !query