Jackson DataFormat: The comparison of the Smile framework and the JSON framework in the Java class library
Jackson DataFormat: The comparison of the Smile framework and the JSON framework in the Java class library
In the field of Java development, JSON is a commonly used data exchange format, and Jackson is a powerful Java class library, which aims to provide high -performance JSON processing capabilities.However, in addition to JSON format, Jackson also supports another binary data format called Smile.In this article, we will compare the difference between the Smile framework and the JSON framework in the JSON class library in the JACKSON DataFormat.
1. Format difference:
JSON (JavaScript Object Notation) is a text format that is easy to read and understand.It uses key values to combine the combination of array to represent structural data.Smile (referred to as binary JSON) is a format based on BINARY JSON. It encodes the JSON object and array into a compact binary form to achieve more efficient data serialization and derivativeization.
2. Performance comparison:
Because Smile uses a binary format, it shows higher performance when serialized and desertified large data sets.SMILE's binary coding makes it have a smaller volume in network transmission and storage, as well as higher data reading and writing speed.In contrast, JSON is a text format, so it is relatively slow and requires greater space during network transmission and storage.If the application needs to process a large amount of data or requires high -performance data exchange, SMILE may be a better choice.
3. Serialization and deepening serialization:
Whether it is JSON or Smile, Jackson DataFormat provides them with a consistent and simple API to achieve the serialization and derivativeization of the object.Below is an example code that uses the Jackson library to sequence the Java object to JSON and Smile format:
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.dataformat.smile.SmileFactory;
public class SerializationExample {
public static void main(String[] args) throws Exception {
ObjectMapper jsonMapper = new ObjectMapper();
ObjectMapper smileMapper = new ObjectMapper(new SmileFactory());
// Create a Java object
User user = new User("John", "Doe", 25);
// Sequence the java object to JSON
String json = jsonMapper.writeValueAsString(user);
System.out.println("JSON: " + json);
// Sequence the java object to Smile
byte[] smile = smileMapper.writeValueAsBytes(user);
System.out.println("Smile: " + smile);
// Turn JSON back series to Java object
User jsonUser = jsonMapper.readValue(json, User.class);
System.out.println("JSON Deserialized: " + jsonUser);
// Sequence Smile's back serialization to Java object
User smileUser = smileMapper.readValue(smile, User.class);
System.out.println("Smile Deserialized: " + smileUser);
}
}
class User {
private String firstName;
private String lastName;
private int age;
// Eliminate the constructor and Getter/Setter method
@Override
public String toString() {
return "User{" +
"firstName='" + firstName + '\'' +
", lastName='" + lastName + '\'' +
", age=" + age +
'}';
}
}
4. Applicable scenarios:
JSON is suitable for data exchange in most cases, especially when communicating with front -end applications or web services.However, SMILE can provide better results for scenarios that do not need human readability and require extremely high performance.For example, when processing real -time transmission, big data sets or high throughput and network resources are limited, using SMILE can significantly improve performance and reduce resource consumption.
In summary, the Smile framework and JSON framework provided in Jackson DataFormat have some obvious differences in the Java class library.Selecting a suitable format depends on the application of the application for performance and data.Whether selecting JSON or SMILE, the Jackson library makes serialization and deepense simple, and provides a unified API to process these data formats.
