跨语言序列化-protobuf/thrift/avro性能测试

1. 编写Schema

 

1.1 student.proto

 

package protobuf; 
option java_package = "com.topsec.trd"; 
option java_outer_classname = "StudentProto"; 
message Student  { 
  required string name = 1;
  required int32 age = 2;
  required int32 sex = 3;
  optional string alias = 4;
  repeated string interest=5;
  
}

1.2 studnet.thrift

namespace java com.topsec.trd
struct StudentThrift {  
  1: string name,
  2: i32 age,
  3: i32 sex,
  4: optional string aliass,
  5: list interest
}

1.3 studnet.avsc

 

{"namespace": "com.topsec.trd",
 "type": "record",
 "name": "StudentAvro",
 "fields": [
     {"name": "name", "type": "string"},
     {"name": "alias",  "type": ["string", "null"]},
     {"name": "age",  "type": ["int", "null"]},
     {"name": "sex", "type": ["string", "null"]},
     {"name": "interet", "type": {"type": "array", "items": "string"}}
 ]
}

2. 生成bean

生成protobuf bean

protoc --java_out=. student.proto

生成thrift bean

thrift-0.10.0.exe -gen java student.thrift

生成avro bean

java -jar lib/avro-tools-1.7.7.jar compile schema src/main/resource/student.avsc src/main/java

3. 编写测试代码

 

public class ProtoBuf {
	private final static int TIMES = 10000000;
	public static void main(String[] args) throws IOException {
		 long start = System.currentTimeMillis();
		 for(int i = 0; i < TIMES; i++) {
			 deserialize();
		 }
		 long end = System.currentTimeMillis();
		 System.out.println("ProtoBuf total time \t" + (end -start));
	}
	
	public static byte [] serializeAsBytes() {
		return makeStudent().build().toByteArray();	
	}
	
	public static InputStream serializeAsStream() throws IOException {
		ByteArrayOutputStream baos = new ByteArrayOutputStream();
		makeStudent().build().writeDelimitedTo(baos);
		return new ByteArrayInputStream(baos.toByteArray());
	}
	
	private static Builder makeStudent() {
		StudentProto.Student.Builder student = StudentProto.Student.newBuilder();
		student.setName("小明");
		student.setSex(0);
		student.setAge(18);
		List interests = new ArrayList();
		interests.add("吃饭");
		interests.add("睡觉");
		interests.add("打豆豆");
		student.addAllInterest(interests);
		return student;
	}
	
	public static void deserialize() throws IOException {
		byte [] bytes = serializeAsBytes();
		StudentProto.Student student = StudentProto.Student.parseFrom(bytes);
		System.out.println(student.getName());
	}
}

 

public class Thrift {
	private final static int TIMES = 10000000;
	private final static TSerializer SERIALIZER = new TSerializer(new TBinaryProtocol.Factory());
	private final static TDeserializer DESERIALIZER = new TDeserializer(new TBinaryProtocol.Factory());
	
	public static void main(String[] args) throws TException {
		 long start = System.currentTimeMillis();
		 for(int i = 0; i < TIMES; i++) {
			 deserialize();
		 }
		 long end = System.currentTimeMillis();
		 System.out.println("Thrift total time \t" + (end -start));
	}
	
	public static byte [] serialize() throws TException {
		StudentThrift stu = new StudentThrift();
		stu.setName("小明");
		stu.setSex(0);
		stu.setAge(18);
		List interests = new ArrayList();
		interests.add("吃饭");
		interests.add("睡觉");
		interests.add("打豆豆");
		stu.setInterest(interests);
		
		return SERIALIZER.serialize(stu);
	}
	
	public static void deserialize() throws TException {
		byte [] bytes = serialize();
		StudentThrift stu = new StudentThrift();
		DESERIALIZER.deserialize(stu, bytes);
//		System.out.println(stu);
	}
	
}

 

public class AVRO {
	private final static int TIMES = 10000000;
	 public static void main(String[] args) throws IOException {
		 long start = System.currentTimeMillis();
		 deserializeAsBytes();
		 long end = System.currentTimeMillis();
		 System.out.println("Avro total time \t" + (end -start));
	 }
	 
	 public static byte [] serializeAsBytes() throws IOException {
		 StudentAvro student = new StudentAvro();
		 student.setName("小明");
		 student.setSex("女");
		 student.setAge(18);
		 List interests = new ArrayList();
		 interests.add("吃饭");
		 interests.add("睡觉");
		 interests.add("打豆豆");
		 student.setInteret(interests);
		 ByteArrayOutputStream baos = new ByteArrayOutputStream();
		 DatumWriter  userDatumWriter = new  SpecificDatumWriter(StudentAvro.class);
		 DataFileWriter  dataFileWriter = new  DataFileWriter(userDatumWriter);
		 dataFileWriter.create(student.getSchema(), baos);
		 dataFileWriter.append(student);
		 dataFileWriter.close();
		 return baos.toByteArray();
	 }
	 
	 public static byte [] serializeAsBytes(int times) throws IOException {
		 ByteArrayOutputStream baos = new ByteArrayOutputStream();
		 DatumWriter  userDatumWriter = new  SpecificDatumWriter(StudentAvro.class);
		 DataFileWriter  dataFileWriter = new  DataFileWriter(userDatumWriter);
		 dataFileWriter.create(new StudentAvro().getSchema(), baos);
		 for(int i = 0; i < times; i++) {
			 StudentAvro student = new StudentAvro();
			 student.setName("小明");
			 student.setSex("女");
			 student.setAge(18);
			 List interests = new ArrayList();
			 interests.add("吃饭");
			 interests.add("睡觉");
			 interests.add("打豆豆");
			 student.setInteret(interests);
			
			 dataFileWriter.append(student);
		 }
		 dataFileWriter.close();
		 return baos.toByteArray();
	 }
	 
	 public static void deserializeAsBytes() throws IOException {
		 SeekableByteArrayInput sbai = new SeekableByteArrayInput(serializeAsBytes(TIMES));
		 DatumReader datumReader = new SpecificDatumReader(StudentAvro.class);
		 DataFileReader dataFileReader = new DataFileReader(sbai, datumReader);
		 StudentAvro user = null;
		 while (dataFileReader.hasNext()) {
			 user = dataFileReader.next(user);
			 System.out.println(user.getName());
		 } 
		 dataFileReader.close();
	 }
	 
}

4. 测试结果

private final static int TIMES = 100000;
ProtoBuf total time 282

Thrift total time 229
Avro total time 694

private final static int TIMES = 1000000;
ProtoBuf total time 988

Thrift total time 1248
Avro total time 2079

private final static int TIMES = 10000000;
ProtoBuf total time 7368

Thrift total time 10675
Avro total time 15025

4.1 小结

项/技术	avro	thrift	protobuf
速度	慢	中等	快
序列化到1个stream	是	否	否

 

5.工程下载地址

(包含测试代码及三种schema和生成bean的工具等)

 

源代码下载地址-点击下载

 

6.protobuf分析

 

6.1 protobuf特点

(a)占用空间小

一条消息数据，用protobuf序列化后的大小是json的10分之一，xml格式的20分之一，是二进制序列化的10分之一（极端情况下，会大于等于直接序列化），总体看来ProtoBuf的优势还是很明显的。

(b)解析速度快

解析速度快，主要归功于protobuf对message 没有动态解析，没有了动态解析的处理序列化速度自然快了。就比如xml ，获取文件之后，还需要解析标签、节点、字段，每一个都需要遍历，而protobuf不需要，直接将field装入流。

(c)兼容性好

fieldNumber 为每个field定义一个编号，其一保证不重复，其二保证其在流中的位置。如若当前数据流中有某个字段，而解析方没有相关的解析代码，解析放会直接skip 吊这个field，而且读数据的position也会后移，保证后续读取不出问题。

参考文章：

http://www.jianshu.com/p/ec39f79c0412

https://www.ibm.com/developerworks/cn/linux/l-cn-gpb

 

6.2  字节流分析

对象序列化

private StudentProto.Student request(int age) {
		StudentProto.Student.Builder builder = StudentProto.Student.newBuilder();
		builder.setName("小明");
		builder.setSex(0);
		builder.setAge(age);
		return builder.build();
	}

protobuf计算tag源码

 static final int TAG_TYPE_BITS = 3;
 /** Makes a tag value given a field number and wire type. */
  static int makeTag(final int fieldNumber, final int wireType) {
    return (fieldNumber << TAG_TYPE_BITS) | wireType;
  }

数字类型存储：tag+value,

字符串存储    ：leg+value,leg是字符串的长度

 

分析字节流：