Table of Contents
1. Overview
This tutorial focuses on understanding the Jackson ObjectMapper class and how to serialize Java objects into JSON and deserialize JSON string into Java objects.
To understand more about the Jackson library in general, the Jackson Tutorial is a good place to start.
2. Dependencies
Let’s first add the following dependencies to the pom.xml:
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>2.11.1</version>
</dependency>
This dependency will also transitively add the following libraries to the classpath:
- jackson-annotations
- jackson-core
Always use the latest versions from the Maven central repository for jackson-databind.
3. Reading and Writing Using ObjectMapper
Let’s start with the basic read and write operations.
The simple readValue API of the ObjectMapper is a good entry point. We can use it to parse or deserialize JSON content into a Java object.
Also, on the writing side, we can use the writeValue API to serialize any Java object as JSON output.
We’ll use the following Car class with two fields as the object to serialize or deserialize throughout this article:
public class Car {
private String color;
private String type;
// standard getters setters
}
3.1. Java Object to JSON
Let’s see a first example of serializing a Java object into JSON using the writeValue method of the ObjectMapper class:
ObjectMapper objectMapper = new ObjectMapper();
Car car = new Car("yellow", "renault");
objectMapper.writeValue(new File("target/car.json"), car);
The output of the above in the file will be:
{"color":"yellow","type":"renault"}
The methods writeValueAsString and writeValueAsBytes of ObjectMapper class generate a JSON from a Java object and return the generated JSON as a string or as a byte array:
String carAsString = objectMapper.writeValueAsString(car);
3.2. JSON to Java Object
Below is a simple example of converting a JSON String to a Java object using the ObjectMapper class:
String json = "{ \"color\" : \"Black\", \"type\" : \"BMW\" }";
Car car = objectMapper.readValue(json, Car.class);
The readValue() function also accepts other forms of input, such as a file containing JSON string:
Car car = objectMapper.readValue(new File("src/test/resources/json_car.json"), Car.class);
or an URL:
Car car = objectMapper.readValue(new URL("file:src/test/resources/json_car.json"), Car.class);
3.3. JSON to Jackson JsonNode
Alternatively, a JSON can be parsed into a JsonNode object and used to retrieve data from a specific node:
String json = "{ \"color\" : \"Black\", \"type\" : \"FIAT\" }";
JsonNode jsonNode = objectMapper.readTree(json);
String color = jsonNode.get("color").asText();
// Output: color -> Black
3.4. Creating a Java List From a JSON Array String
We can parse a JSON in the form of an array into a Java object list using a TypeReference:
String jsonCarArray =
"[{ \"color\" : \"Black\", \"type\" : \"BMW\" }, { \"color\" : \"Red\", \"type\" : \"FIAT\" }]";
List<Car> listCar = objectMapper.readValue(jsonCarArray, new TypeReference<List<Car>>(){});
3.5. Creating Java Map From JSON String
Similarly, we can parse a JSON into a Java Map:
String json = "{ \"color\" : \"Black\", \"type\" : \"BMW\" }";
Map<String, Object> map
= objectMapper.readValue(json, new TypeReference<Map<String,Object>>(){});
4. Advanced Features
One of the greatest strengths of the Jackson library is the highly customizable serialization and deserialization process.
In this section, we’ll go through some advanced features where the input or the output JSON response can be different from the object that generates or consumes the response.
4.1. Configuring Serialization or Deserialization Feature
While converting JSON objects to Java classes, in case the JSON string has some new fields, the default process will result in an exception:
String jsonString
= "{ \"color\" : \"Black\", \"type\" : \"Fiat\", \"year\" : \"1970\" }";
The JSON string in the above example in the default parsing process to the Java object for the Class Car will result in the UnrecognizedPropertyException exception.
Through the configure method, we can extend the default process to ignore the new fields:
objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
Car car = objectMapper.readValue(jsonString, Car.class);
JsonNode jsonNodeRoot = objectMapper.readTree(jsonString);
JsonNode jsonNodeYear = jsonNodeRoot.get("year");
String year = jsonNodeYear.asText();
Yet another option is based on the FAIL_ON_NULL_FOR_PRIMITIVES, which defines if the null values for primitive values are allowed:
objectMapper.configure(DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES, false);
Similarly, FAIL_ON_NUMBERS_FOR_ENUM controls if enum values are allowed to be serialized/deserialized as numbers:
objectMapper.configure(DeserializationFeature.FAIL_ON_NUMBERS_FOR_ENUMS, false);
You can find the comprehensive list of serialization and deserialization features on the official site.
4.2. Creating Custom Serializer or Deserializer
Another essential feature of the ObjectMapper class is the ability to register a custom serializer and deserializer.
Custom serializers and deserializers are very useful in situations where the input or the output JSON response is different in structure than the Java class into which it must be serialized or deserialized.
Below is an example of a custom JSON serializer:
public class CustomCarSerializer extends StdSerializer<Car> {
public CustomCarSerializer() {
this(null);
}
public CustomCarSerializer(Class<Car> t) {
super(t);
}
@Override
public void serialize(
Car car, JsonGenerator jsonGenerator, SerializerProvider serializer) {
jsonGenerator.writeStartObject();
jsonGenerator.writeStringField("car_brand", car.getType());
jsonGenerator.writeEndObject();
}
}
This custom serializer can be invoked like this:
ObjectMapper mapper = new ObjectMapper();
SimpleModule module =
new SimpleModule("CustomCarSerializer", new Version(1, 0, 0, null, null, null));
module.addSerializer(Car.class, new CustomCarSerializer());
mapper.registerModule(module);
Car car = new Car("yellow", "renault");
String carJson = mapper.writeValueAsString(car);
Here’s what the Car looks like (as JSON output) on the client side:
var carJson = {"car_brand":"renault"}
And here’s an example of a custom JSON deserializer:
public class CustomCarDeserializer extends StdDeserializer<Car> {
public CustomCarDeserializer() {
this(null);
}
public CustomCarDeserializer(Class<?> vc) {
super(vc);
}
@Override
public Car deserialize(JsonParser parser, DeserializationContext deserializer) {
Car car = new Car();
ObjectCodec codec = parser.getCodec();
JsonNode node = codec.readTree(parser);
// try catch block
JsonNode colorNode = node.get("color");
String color = colorNode.asText();
car.setColor(color);
return car;
}
}
This custom deserializer can be invoked in this way:
String json = "{ \"color\" : \"Black\", \"type\" : \"BMW\" }";
ObjectMapper mapper = new ObjectMapper();
SimpleModule module =
new SimpleModule("CustomCarDeserializer", new Version(1, 0, 0, null, null, null));
module.addDeserializer(Car.class, new CustomCarDeserializer());
mapper.registerModule(module);
Car car = mapper.readValue(json, Car.class);
4.3. Handling Date Formats
The default serialization of java.util.Date produces a number, i.e., epoch timestamp (number of milliseconds since January 1, 1970, UTC). But this is not very human readable and requires further conversion to be displayed in a human-readable format.
Let’s wrap the Car instance we used so far inside the Request class with the datePurchased property:
public class Request
{
private Car car;
private Date datePurchased;
// standard getters setters
}
To control the String format of a date and set it to, e.g., yyyy-MM-dd HH:mm a z, consider the following snippet:
ObjectMapper objectMapper = new ObjectMapper();
DateFormat df = new SimpleDateFormat("yyyy-MM-dd HH:mm a z");
objectMapper.setDateFormat(df);
String carAsString = objectMapper.writeValueAsString(request);
// output: {"car":{"color":"yellow","type":"renault"},"datePurchased":"2016-07-03 11:43 AM CEST"}
To learn more about serializing dates with Jackson, read our more in-depth write-up.
4.4. Handling Collections
Another small but useful feature available through the DeserializationFeature class is the ability to generate the type of collection we want from a JSON Array response.
For example, we can generate the result as an array:
String jsonCarArray =
"[{ \"color\" : \"Black\", \"type\" : \"BMW\" }, { \"color\" : \"Red\", \"type\" : \"FIAT\" }]";
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.configure(DeserializationFeature.USE_JAVA_ARRAY_FOR_JSON_ARRAY, true);
Car[] cars = objectMapper.readValue(jsonCarArray, Car[].class);
// print cars
Or as a List:
String jsonCarArray =
"[{ \"color\" : \"Black\", \"type\" : \"BMW\" }, { \"color\" : \"Red\", \"type\" : \"FIAT\" }]";
ObjectMapper objectMapper = new ObjectMapper();
List<Car> listCar = objectMapper.readValue(jsonCarArray, new TypeReference<List<Car>>(){});
// print cars
More information about handling collections with Jackson is available here.
5. Conclusion
Jackson is a solid and mature JSON serialization/deserialization library for Java. The ObjectMapper API provides a straightforward way to parse and generate JSON response objects with a lot of flexibility. This article discussed the main features that make the library so popular.
The source code that accompanies the article can be found over on GitHub.
