标签:http detail public long pen end cat [] efault
转自:https://blog.csdn.net/z69183787/article/details/53005961
fst是完全兼容JDK序列化协议的系列化框架,序列化速度大概是JDK的4-10倍,大小是JDK大小的1/3左右。 首先引入pom
<dependency>
<groupId>de.ruedigermoeller</groupId>
<artifactId>fst</artifactId>
<version>2.04</version>
</dependency>
package zookeeper.seria;
import java.io.Serializable;
public class FSTSeriazle {
public static void main(String[] args) {
User bean = new User();
bean.setUsername("xxxxx");
bean.setPassword("123456");
bean.setAge(1000000);
System.out.println("序列化 , 反序列化 对比测试:");
long size = 0;
long time1 = System.currentTimeMillis();
for (int i = 0; i < 10000; i++) {
byte[] jdkserialize = JRedisSerializationUtils.jdkserialize(bean);
size += jdkserialize.length;
JRedisSerializationUtils.jdkdeserialize(jdkserialize);
}
System.out.println("原生序列化方案[序列化10000次]耗时:"
+ (System.currentTimeMillis() - time1) + "ms size:=" + size);
size = 0;
long time2 = System.currentTimeMillis();
for (int i = 0; i < 10000; i++) {
byte[] serialize = JRedisSerializationUtils.serialize(bean);
size += serialize.length;
User u = (User) JRedisSerializationUtils.unserialize(serialize);
}
System.out.println("fst序列化方案[序列化10000次]耗时:"
+ (System.currentTimeMillis() - time2) + "ms size:=" + size);
size = 0;
long time3 = System.currentTimeMillis();
for (int i = 0; i < 10000; i++) {
byte[] serialize = JRedisSerializationUtils.kryoSerizlize(bean);
size += serialize.length;
User u = (User) JRedisSerializationUtils.kryoUnSerizlize(serialize);
}
System.out.println("kryo序列化方案[序列化10000次]耗时:"
+ (System.currentTimeMillis() - time3) + "ms size:=" + size);
}
}
class User implements Serializable{
private String username;
private int age;
private String password;
public String getUsername() {
return username;
}
public void setUsername(String username) {
this.username = username;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
public String getPassword() {
return password;
}
public void setPassword(String password) {
this.password = password;
}
}
结果
序列化 , 反序列化 对比测试:
原生序列化方案[序列化10000次]耗时:458ms size:=1160000
fst序列化方案[序列化10000次]耗时:184ms size:=550000
kryo序列化方案[序列化10000次]耗时:462ms size:=390000
工具类
package zookeeper.seria; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.io.ObjectInputStream; import java.io.ObjectOutputStream; import org.nustaq.serialization.FSTConfiguration; import com.esotericsoftware.kryo.Kryo; import com.esotericsoftware.kryo.io.Input; import com.esotericsoftware.kryo.io.Output; public class JRedisSerializationUtils { public JRedisSerializationUtils() { } static FSTConfiguration configuration = FSTConfiguration // .createDefaultConfiguration(); .createStructConfiguration(); public static byte[] serialize(Object obj) { return configuration.asByteArray(obj); } public static Object unserialize(byte[] sec) { return configuration.asObject(sec); } public static byte[] kryoSerizlize(Object obj) { Kryo kryo = new Kryo(); byte[] buffer = new byte[2048]; try( Output output = new Output(buffer); ) { kryo.writeClassAndObject(output, obj); return output.toBytes(); } catch (Exception e) { } return buffer; } static Kryo kryo = new Kryo(); public static Object kryoUnSerizlize(byte[] src) { try( Input input = new Input(src); ){ return kryo.readClassAndObject(input); }catch (Exception e) { } return kryo; } // jdk原生序列换方案 public static byte[] jdkserialize(Object obj) { try (ByteArrayOutputStream baos = new ByteArrayOutputStream(); ObjectOutputStream oos = new ObjectOutputStream(baos);) { oos.writeObject(obj); return baos.toByteArray(); } catch (IOException e) { throw new RuntimeException(e); } } public static Object jdkdeserialize(byte[] bits) { try (ByteArrayInputStream bais = new ByteArrayInputStream(bits); ObjectInputStream ois = new ObjectInputStream(bais); ) { return ois.readObject(); } catch (Exception e) { throw new RuntimeException(e); } } }
标签:http detail public long pen end cat [] efault
原文地址:https://www.cnblogs.com/hahajava/p/9683096.html