序列化工具对比

• JdkSerialize：java内置的序列化能将实现了Serilazable接口的对象进行序列化和反序列化， ObjectOutputStream的writeObject()方法可序列化对象生成字节数组

• Protostuff：google开源的protostuff采用更为紧凑的二进制数组，表现更加优异，然后使用protostuff的编译工具生成pojo类

JdkSerializeUtil

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;

/**
 * jdk序列化
 */
public class JdkSerializeUtil {

    /**
     * 序列化
     * @param obj
     * @param <T>
     * @return
     */
    public static <T> byte[] serialize(T obj) {

        if (obj  == null){
            throw new NullPointerException();
        }

        ByteArrayOutputStream bos = new ByteArrayOutputStream();
        try {
            ObjectOutputStream oos = new ObjectOutputStream(bos);

            oos.writeObject(obj);
            return bos.toByteArray();
        } catch (Exception ex) {
            ex.printStackTrace();
        }
        return new byte[0];
    }

    /**
     * 反序列化
     * @param data
     * @param clazz
     * @param <T>
     * @return
     */
    public static <T> T deserialize(byte[] data, Class<T> clazz) {
        ByteArrayInputStream bis = new ByteArrayInputStream(data);

        try {
            ObjectInputStream ois = new ObjectInputStream(bis);
            T obj = (T)ois.readObject();
            return obj;
        } catch (Exception ex) {
            ex.printStackTrace();
        }

        return  null;
    }



}

ProtostuffUtil （优选）

import com.heima.model.wemedia.pojos.WmNews;
import io.protostuff.LinkedBuffer;
import io.protostuff.ProtostuffIOUtil;
import io.protostuff.Schema;
import io.protostuff.runtime.RuntimeSchema;

public class ProtostuffUtil {

    /**
     * 序列化
     * @param t
     * @param <T>
     * @return
     */
    public static <T> byte[] serialize(T t){
        Schema schema = RuntimeSchema.getSchema(t.getClass());
        return ProtostuffIOUtil.toByteArray(t,schema,
                LinkedBuffer.allocate(LinkedBuffer.DEFAULT_BUFFER_SIZE));
 
    }

    /**
     * 反序列化
     * @param bytes
     * @param c
     * @param <T>
     * @return
     */
    public static <T> T deserialize(byte []bytes,Class<T> c) {
        T t = null;
        try {
            t = c.newInstance();
            Schema schema = RuntimeSchema.getSchema(t.getClass());
             ProtostuffIOUtil.mergeFrom(bytes,t,schema);
        } catch (InstantiationException e) {
            e.printStackTrace();
        } catch (IllegalAccessException e) {
            e.printStackTrace();
        }
        return t;
    }


 
}

Protostuff需要引导依赖：

<dependency>
    <groupId>io.protostuff</groupId>
    <artifactId>protostuff-core</artifactId>
    <version>1.6.0</version>
</dependency>

<dependency>
    <groupId>io.protostuff</groupId>
    <artifactId>protostuff-runtime</artifactId>
    <version>1.6.0</version>
</dependency>

测试

    /**
     * jdk序列化与protostuff序列化对比
     * @param args
     */
    public static void main(String[] args) {
        long start =System.currentTimeMillis();
        for (int i = 0; i <1000000 ; i++) {
            WmNews wmNews =new WmNews();  //自己测试创建的对象
            JdkSerializeUtil.serialize(wmNews);
        }
        System.out.println(" jdk 花费 "+(System.currentTimeMillis()-start));

        start =System.currentTimeMillis();
        for (int i = 0; i <1000000 ; i++) {
            WmNews wmNews =new WmNews();
            ProtostuffUtil.serialize(wmNews);
        }
        System.out.println(" protostuff 花费 "+(System.currentTimeMillis()-start));
    }

结果：