Technical principle in Java class library: Jackson DataFormat: Smile framework

Jackson DataFormat: Smile framework technical principle Jackson is an efficient and flexible Java class library for processing JSON format data.It provides a variety of data binding methods, making conversion between Java objects and JSON very simple.One of the expansion libraries is Jackson DataFormat: Smile framework, which adds support for SMILE (simplified binary key value) to Jackson. Smile is a lightweight data exchange format based on binary coding.It aims to provide the same semantics and flexibility as the JSON format, but it has smaller serialization and derivative overhead.The data format data has good performance in network transmission and storage, which can save bandwidth and storage space. Jackson DataFormat: The Smile framework realizes the conversion between Java objects and Smile data by adding serialization and dependent serializers in the Smile format.Here are some examples of Java code for operation using Jackson DataFormat: Smile: 1. Serialized Java object is Smile format data: ObjectMapper mapper = new ObjectMapper(new SmileFactory()); MyObject myObject = new MyObject("Hello", 123); byte[] smileData = mapper.writeValueAsBytes(myObject); 2. Reverse serialization Smile format data is Java object: ObjectMapper mapper = new ObjectMapper(new SmileFactory()); MyObject myObject = mapper.readValue(smileData, MyObject.class); Jackson DataFormat: The Smile framework provides APIs similar to JSON format, so for developers who are familiar with JSON processing, it is not difficult to use the Smile format.In addition, Jackson also provides some other advanced features, such as data binding configuration options and data filtering, so that developers can better control and customize the serialization and derivative behavior of data. To sum up, Jackson DataFormat: Smile framework is an extension of the Jackson class library, which makes the conversion between the Java object and the Smile format data simple and efficient.By using this framework, developers can significantly improve the performance of data exchange in the same semantic and flexible conditions.