Learn from the application of Jackson DataFormat: AVRO in Java
In -depth understanding of Jackson DataFormat: Avro's application in Java
AVRO is a high -performance data serialization system that can be used to support large -scale data processing.Jackson DataFormat: Avro is an extension of the Jackson series library, which provides more convenient ways for AVRO encoding and decoding data.This article will introduce the applications of Jackson DataFormat: AVRO in Java, including configuration and use examples.
1. Configure Jackson DataFormat: Avro
To use Jackson DataFormat: AVRO in the Java project, you first need to add related Maven dependencies.Add the following dependencies to the pom.xml file of the project:
<dependency>
<groupId>com.fasterxml.jackson.dataformat</groupId>
<artifactId>jackson-dataformat-avro</artifactId>
<version>2.12.4</version>
</dependency>
After adding dependencies, you can use Avro -related functions in the code.
2. Example of AVRO serialization and back -sequentialization
Below is a simple example of AVRO serialization and dependentization.First, we need to define a AVRO data mode (SCHEMA), such as a simple user information mode:
import org.apache.avro.Schema;
public class User {
private String name;
private int age;
// omit the constructor, Getter, and Setter
public static Schema getSchema() {
String schemaString =
"{
" +
" \"type\":\"record\",
" +
" \"name\":\"User\",
" +
" \"fields\":[
" +
" {\"name\":\"name\",\"type\":\"string\"},
" +
" {\"name\":\"age\",\"type\":\"int\"}
" +
" ]
" +
"}";
Schema.Parser parser = new Schema.Parser();
return parser.parse(schemaString);
}
}
In the above code, we define an AVRO data mode called User, including two fields: name and Age.
Next, we can use Jackson DataFormat: Avro to serialize and derive the user object:
import com.fasterxml.jackson.dataformat.avro.AvroMapper;
import com.fasterxml.jackson.databind.ObjectMapper;
public class AvroExample {
public static void main(String[] args) throws Exception {
User user = new user ("Zhang San", 25);
// Serialization
AvroMapper avroMapper = new AvroMapper();
byte[] bytes = avroMapper.writer(User.getSchema()).writeValueAsBytes(user);
// Reverse serialization
User deserializedUser = avroMapper.reader(User.class).with(User.getSchema()).readValue(bytes);
// Print results
System.out.println ("Original user information:" + user.tostring ());
System.out.println ("" User information after the dependent serialization: " + deserializedUser.tostring ());
}
}
In the above code, we created a User object, and then serialized it with AVROMAPPER and stored the results in the byte array.Then, we use AVROMAPPER to derive the byte array, and verify whether the back -sequentialization is successful by printing the results.
Third, other functions of avro
In addition to the above -mentioned basic serialization and back -sequentialization functions, Jackson DataFormat: Avro also provides many other useful functions.For example, you can use Avro's higher -level data structures (such as Unions and Enums) to process large AVRO records, and compress and decompress.We can refer to the use of official documents or other tutorials to further understand these functions.
Summarize
This article deeply introduces the application of Jackson DataFormat: AVRO in Java.We first learned about the steps of configured Jackson DataFormat: AVRO, and then demonstrated the serialization and dependency function of Avro through a simple example.Finally, other functions of Avro are mentioned, and readers are encouraged to explore this powerful data serialization system.I hope this article can help developers better understand and apply Jackson DataFormat: Avro.
Hope this is helpful to you!
