Interpretation of Jackson DataFormat: Smile framework principle in the Java library from a technical perspective

Jackson DataFormat: Smile framework original analysis introduction: In the Java class library, the Jackson DataFormat library provides a data format called Smile.SMILE is an efficient binary data format that can be used for serialization and derivativeized Java objects.This article will analyze the principles of Jackson DataFormat: Smile framework from a technical perspective, and provide Java code examples for this. 1. Jackson DataFormat: Smile Overview The Jackson DataFormat library is part of the Jackson library. It expands the function of Jackson and enables it to support a variety of data formats, including JSON, XML, and Smile.Among them, SMILE is a binary data format, and its design purpose is to provide higher serialization and derivativeization performance.Compared to JSON, Smile has smaller data size and can process data processing at higher speeds. 2. Jackson DataFormat: The working principle of Smile Jackson DataFormat: Smile library can achieve data serialization and derivativeization of data by using Smile format codecs.It can be implemented by the following steps: a. Serialization: Convert Java objects to data format. b. Revitalize: Translate the data format into the Java object. 3. Smile's data format SMILE format is a compact and efficient binary data format, which is compatible with JSON format.Smile format implements high -performance data processing through the following characteristics: a. No label: Smile format uses dynamic types to represent the data type without using a predefined label.This can reduce data size and improve processing speed. b. Compression: Smile format uses compression algorithms to reduce data, such as using the LZ77 algorithm.This makes Smile data have a smaller volume compared to JSON data. c. Binary storage: SMILE format storage data into binary instead of text forms.This can reduce the expenses of data transmission and storage and increase the rate of analysis. 4. Jackson DataFormat: Smile for example code Below is a sample code that uses Jackson DataFormat: Smile library for serialization and derivativeization: a. Serialization: ObjectMapper mapper = new ObjectMapper(new SmileFactory()); DataObject dataObject = new DataObject("John", 25); byte[] smileData = mapper.writeValueAsBytes(dataObject); b. Revitalize: ObjectMapper mapper = new ObjectMapper(new SmileFactory()); DataObject dataObject = mapper.readValue(smileData, DataObject.class); In the above code example, `dataobject` is a Java class that contains names and age attributes.First of all, we use the `SmileFactory` to create an object of` ObjectMapper` and use it to sequence the `DataObject` object to the byte array of the Smile format.Then, use the same `ObjectMapper` object to sequence the byte array of the Smile format into a Java object. in conclusion: This article analyzes the principle of Jackson DataFormat: Smile framework from a technical perspective.By using the Jackson DataFormat: Smile library, we can sequence the Java objects into data in Smile format and sequence the data format into the Java object.Smile's high performance and high efficiency make it an ideal choice for processing a lot of data. It is hoped that this article will help readers' understanding of Jackson DataFormat: Smile framework, and can flexibly use the framework in practice.