幾種序列化協議(protobuf,xstream,jackjson,jdk,hessian)相關數據

 

別人的相關測試數據: http://code.google.com/p/thrift-protobuf-compare/wiki/Benchmarking html

 

測試緯度

  • 序列化時間
  • 反序列化時間
  • bytes大小

測試代碼

準備protobuf文件

 

Message.proto文件代碼  
    import "InnerMessage.proto";   
    package demo;    
    option java_package = "com.agapple.protobuf.data";   
    option java_outer_classname = "MessageProtos";   
    option optimize_for = SPEED ;  //CODE_SIZE,LITE_RUNTIME   
    option java_generic_services = false;   
    message Message {   
           
        required string strObj = 1 [default="hello"];   
        optional int32 int32Obj = 2;   
        optional int64 int64Obj = 3;   
        optional uint32 uint32Obj = 4;   
        optional uint64 uint64Obj = 5;   
        optional sint32 sint32Obj = 6;   
        optional sint64 sint64Obj = 7;   
        optional fixed32 fixed32Obj = 8;   
        optional fixed64 fixed64Obj = 9;   
        optional sfixed32 sfixed32Obj = 10;   
        optional sfixed64 sfixed64Obj = 11;   
        optional bool   boolObj = 12;   
        optional bytes  bytesObj = 13;   
        optional float folatObj = 14 [deprecated=true];   
        repeated double doubleObj = 15 [packed=true]; //   
        optional InnerMessage innerMessage = 16;   
    }   
     
    
     
    
    Innermessage.proto代碼   
    import "EnumType.proto";   
       
    package demo;    
    option java_package = "com.agapple.protobuf.data";   
    option java_outer_classname = "InnerMessageProtos";   
       
    message InnerMessage {    
        optional string name = 1 [default = "name"];   
        optional int32 id = 2;   
        optional EnumType type = 3 [default = UNIVERSAL];   
    }



     
Enumtype.proto代碼  
    package demo;    
    option java_package = "com.agapple.protobuf.data";   
    option java_outer_classname = "EnumTypeProtos";   
       
    enum EnumType {   
        UNIVERSAL = 0;    
        WEB = 1;    
        IMAGES = 2;    
        LOCAL = 3;    
        NEWS = 4;    
        PRODUCTS = 5;    
        VIDEO = 6;    
    }



     

 

基本上把protobuf支持的類型都囊括了,包括嵌套類型,枚舉類型,以及各類int,uint,bool,bytes。   java

 

依賴關係是Message.proto依賴了InnerMessage對象,而InnerMessage對象裏包含了一個自定義枚舉類型EnumType。 json

 

關於類型的使用可參見: 
      http://code.google.com/intl/zh/apis/protocolbuffers/docs/reference/java-generated.html
      http://code.google.com/intl/zh/apis/protocolbuffers/docs/proto.html api

 

 

 

生成protobuf javabean

 

 

C代碼  
cd /home/ljh/work/code/src/main/java   
   
/home/ljh/work/protobuf/bin/protoc --proto_path=com/agapple/protobuf/ --java_out=. com/agapple/protobuf/EnumType.proto   
/home/ljh/work/protobuf/bin/protoc --proto_path=com/agapple/protobuf/ --java_out=. com/agapple/protobuf/InnerMessage.proto   
/home/ljh/work/protobuf/bin/protoc --proto_path=com/agapple/protobuf/ --java_out=. com/agapple/protobuf/Message.proto



 

 經過protobuf自帶的protoc進行編譯,指定了protobuf文件的路徑, 具體的文檔: http://code.google.com/intl/zh/apis/protocolbuffers/docs/proto.html#generating app

 

 

運行腳本後就會生成對應的3個javabean文件: MessageProtos , InnerMessageProtos , EnumTypeProtos。 ide

 

最後構造測試的protobuf bean代碼

 

private static MessageProtos.Message getProtobufBean() {   
        com.agapple.protobuf.data.MessageProtos.Message.Builder messageBuilder = MessageProtos.Message.newBuilder();   
   
        messageBuilder.setStrObj("message");   
        messageBuilder.setFolatObj(1f);   
        messageBuilder.addDoubleObj(1d);   
        messageBuilder.addDoubleObj(2d);   
        messageBuilder.setBoolObj(true);   
   
        messageBuilder.setBytesObj(ByteString.copyFrom(new byte[] { 1, 2, 3 }));   
        messageBuilder.setInt32Obj(32);   
        messageBuilder.setInt64Obj(64l);   
        messageBuilder.setSint32Obj(232);   
        messageBuilder.setSint64Obj(264);   
        messageBuilder.setFixed32Obj(532);   
        messageBuilder.setFixed64Obj(564);   
        messageBuilder.setSfixed32Obj(2532);   
        messageBuilder.setSfixed64Obj(2564);   
        messageBuilder.setUint32Obj(632);   
        messageBuilder.setUint64Obj(664);   
   
        com.agapple.protobuf.data.InnerMessageProtos.InnerMessage.Builder innerMessageBuilder = InnerMessageProtos.InnerMessage.newBuilder();   
        innerMessageBuilder.setId(1);   
        innerMessageBuilder.setName("inner");   
        innerMessageBuilder.setType(EnumType.PRODUCTS);   
   
        messageBuilder.setInnerMessage(innerMessageBuilder);   
   
        return messageBuilder.build();   
    }



 

 

 

準備純Pojo Bean 

一樣的,爲了和json , xml以及java序列化有個很好的對比,新建了3個純的pojo bean:  MessagePojo , InnerMessagePojo , EnumTypePojo。

屬性和proto的bean保持一致。 oop

 

構建bean對象

 

Java代碼   
private static MessagePojo getPojoBean() {   
        MessagePojo bean = new MessagePojo();   
   
        bean.setStrObj("message");   
        bean.setFolatObj(1f);   
        List<Double> doubleObj = new ArrayList<Double>();   
        doubleObj.add(1d);   
        doubleObj.add(2d);   
        bean.setDoubleObj(doubleObj);   
        bean.setBoolObj(true);   
   
        bean.setBytesObj(new byte[] { 1, 2, 3 });   
        bean.setInt32Obj(32);   
        bean.setInt64Obj(64l);   
        bean.setSint32Obj(232);   
        bean.setSint64Obj(264);   
        bean.setFixed32Obj(532);   
        bean.setFixed64Obj(564);   
        bean.setSfixed32Obj(2532);   
        bean.setSfixed64Obj(2564);   
        bean.setUint32Obj(632);   
        bean.setUint64Obj(664);   
   
        InnerMessagePojo innerMessagePojo = new InnerMessagePojo();   
        innerMessagePojo.setId(1);   
        innerMessagePojo.setName("inner");   
        innerMessagePojo.setType(EnumTypePojo.PRODUCTS);   
   
        bean.setInnerMessage(innerMessagePojo);   
   
        return bean;   
    }



 

 

 

具體的測試代碼

定義測試Template接口

 

Java代碼  
    interface TestCallback {   
       
        String getName();   
       
        byte[] writeObject(Object source);   
       
        Object readObject(byte[] bytes);   
    }



     

統一的測試模板

 

Java代碼   
private static void testTemplate(TestCallback callback, Object source, int count) {   
        int warmup = 10;   
        // 先進行預熱,加載一些類,避免影響測試   
        for (int i = 0; i < warmup; i++) {   
            byte[] bytes = callback.writeObject(source);   
            callback.readObject(bytes);   
        }   
        restoreJvm(); // 進行GC回收   
        // 進行測試   
        long start = System.nanoTime();   
        long size = 0l;   
        for (int i = 0; i < count; i++) {   
            byte[] bytes = callback.writeObject(source);   
            size = size + bytes.length;   
            callback.readObject(bytes);   
            // System.out.println(callback.readObject(bytes));   
            bytes = null;   
        }   
        long nscost = (System.nanoTime() - start);   
        System.out.println(callback.getName() + " total cost=" + integerFormat.format(nscost) + "ns , each cost="   
                           + integerFormat.format(nscost / count) + "ns , and byte sizes = " + size / count);   
        restoreJvm();// 進行GC回收   
   
    }



 

 

 

  在測試模板方法中,使用了warmup預熱的概念,就是預先執行目標方法必定的次數,用於避免由於jit的優化影響系統測試。 同時包含了每次測試模板調用完成後system.gc保證下一輪的功能測試 性能

 

  相應的restoreJvm方法:  測試

Java代碼   
private static void restoreJvm() {   
        int maxRestoreJvmLoops = 10;   
        long memUsedPrev = memoryUsed();   
        for (int i = 0; i < maxRestoreJvmLoops; i++) {   
            System.runFinalization();   
            System.gc();   
   
            long memUsedNow = memoryUsed();   
            // break early if have no more finalization and get constant mem used   
            if ((ManagementFactory.getMemoryMXBean().getObjectPendingFinalizationCount() == 0)   
                && (memUsedNow >= memUsedPrev)) {   
                break;   
            } else {   
                memUsedPrev = memUsedNow;   
            }   
        }   
    }   
   
    private static long memoryUsed() {   
        Runtime rt = Runtime.getRuntime();   
        return rt.totalMemory() - rt.freeMemory();   
    }



 

 

最後相應的測試例子:

 

Java代碼   
final int testCount = 1000 * 500;           
final MessageProtos.Message protoObj = getProtobufBean();   
final MessagePojo pojoOBj = getPojoBean();   
   
// Serializable測試   
testTemplate(new TestCallback() {   
   
    public String getName() {   
        return "Serializable Test";   
    }   
   
    @Override   
    public byte[] writeObject(Object source) {   
        try {   
            ByteArrayOutputStream bout = new ByteArrayOutputStream();   
            ObjectOutputStream output = new ObjectOutputStream(bout);   
            output.writeObject(source);   
            return bout.toByteArray();   
        } catch (IOException e) {   
            e.printStackTrace();   
        }   
        return null;   
    }   
   
    @Override   
    public Object readObject(byte[] bytes) {   
        try {   
            ByteArrayInputStream bin = new ByteArrayInputStream(bytes);   
            ObjectInputStream input = new ObjectInputStream(bin);   
            return input.readObject();   
        } catch (Exception e) {   
            e.printStackTrace();   
        }   
        return null;   
    }   
}, pojoOBj, testCount);   
   
// protobuf測試   
testTemplate(new TestCallback() {   
   
    public String getName() {   
        return "protobuf test";   
    }   
   
    @Override   
    public byte[] writeObject(Object source) {   
        if (source instanceof MessageProtos.Message) {   
            MessageProtos.Message message = (MessageProtos.Message) source;   
            return message.toByteArray();   
        }   
   
        return null;   
    }   
   
    @Override   
    public Object readObject(byte[] bytes) {   
        try {   
            return MessageProtos.Message.parseFrom(bytes);   
        } catch (InvalidProtocolBufferException e) {   
            e.printStackTrace();   
        }   
        return null;   
    }   
}, protoObj, testCount);   
   
// json測試   
final ObjectMapper objectMapper = new ObjectMapper();   
final JavaType javaType = TypeFactory.type(pojoOBj.getClass());   
   
// JSON configuration not to serialize null field   
objectMapper.getSerializationConfig().setSerializationInclusion(JsonSerialize.Inclusion.NON_NULL);   
   
// JSON configuration not to throw exception on empty bean class   
objectMapper.getSerializationConfig().disable(SerializationConfig.Feature.FAIL_ON_EMPTY_BEANS);   
   
// JSON configuration for compatibility   
objectMapper.configure(Feature.ALLOW_UNQUOTED_FIELD_NAMES, true);   
objectMapper.configure(Feature.ALLOW_UNQUOTED_CONTROL_CHARS, true);   
   
testTemplate(new TestCallback() {   
   
    public String getName() {   
        return "Jackson Test";   
    }   
   
    @Override   
    public byte[] writeObject(Object source) {   
        try {   
            return objectMapper.writeValueAsBytes(source);   
        } catch (JsonGenerationException e) {   
            e.printStackTrace();   
        } catch (JsonMappingException e) {   
            e.printStackTrace();   
        } catch (IOException e) {   
            e.printStackTrace();   
        }   
   
        return null;   
    }   
   
    @Override   
    public Object readObject(byte[] bytes) {   
        try {   
            return objectMapper.readValue(bytes, 0, bytes.length, javaType);   
        } catch (JsonParseException e) {   
            e.printStackTrace();   
        } catch (JsonMappingException e) {   
            e.printStackTrace();   
        } catch (IOException e) {   
            e.printStackTrace();   
        }   
        return null;   
    }   
}, pojoOBj, testCount);   
   
// Xstream測試   
final XStream xstream = new XStream();   
testTemplate(new TestCallback() {   
   
    public String getName() {   
        return "Xstream test";   
    }   
   
    @Override   
    public byte[] writeObject(Object source) {   
        return xstream.toXML(source).getBytes();   
    }   
   
    @Override   
    public Object readObject(byte[] bytes) {   
        return xstream.fromXML(new ByteArrayInputStream(bytes));   
    }   
}, pojoOBj, testCount);



 

hessian 3.1.5版本基於二進制序列化的測試 優化

 

Xml代碼   
<dependency>   
    <groupId>com.caucho</groupId>   
    <artifactId>hessian</artifactId>   
    <version>3.1.5</version>   
</dependency>



 

 

測試了3種狀況:

 

  1. hessian 2協議
  2. hessian 2協議 + deflat壓縮
  3. hessian 1協議

 

 

測試代碼:

 

Java代碼   
// hessian 2 with no deflat   
        testTemplate(new TestCallback() {   
   
            public String getName() {   
                return "hessian 2 with no deflat";   
            }   
   
            @Override   
            public byte[] writeObject(Object source) {   
                try {   
                    ByteArrayOutputStream bos = new ByteArrayOutputStream();   
                    Hessian2Output out = new Hessian2Output(bos);   
                    // out.startMessage();   
                    out.writeObject(source);   
                    // out.completeMessage();   
                    out.flush();   
                    return bos.toByteArray();   
                } catch (IOException e) {   
                    e.printStackTrace();   
                }   
                return null;   
            }   
   
            @Override   
            public Object readObject(byte[] bytes) {   
                try {   
                    ByteArrayInputStream bin = new ByteArrayInputStream(bytes);   
                    Hessian2Input in = new Hessian2Input(bin);   
                    // in.startMessage();   
                    Object obj = in.readObject();   
                    // in.completeMessage();   
                    return obj;   
                } catch (IOException e) {   
                    e.printStackTrace();   
                }   
                return null;   
            }   
        }, pojoOBj, testCount);   
   
        // hessian 2 with deflat   
        final Deflation envelope = new Deflation();   
        testTemplate(new TestCallback() {   
   
            public String getName() {   
                return "hessian 2 with deflat";   
            }   
   
            @Override   
            public byte[] writeObject(Object source) {   
                try {   
                    ByteArrayOutputStream bos = new ByteArrayOutputStream();   
                    Hessian2Output out = new Hessian2Output(bos);   
                    out = envelope.wrap(out);   
                    out.writeObject(source);   
                    out.flush();   
                    out.close(); // 記得關閉   
                    return bos.toByteArray();   
                } catch (Exception e) {   
                    e.printStackTrace();   
                }   
                return null;   
            }   
   
            @Override   
            public Object readObject(byte[] bytes) {   
                try {   
                    ByteArrayInputStream bin = new ByteArrayInputStream(bytes);   
                    Hessian2Input in = new Hessian2Input(bin);   
                    in = envelope.unwrap(in);   
                    Object obj = in.readObject();   
                    in.close();   
                    return obj;   
                } catch (IOException e) {   
                    e.printStackTrace();   
                }   
                return null;   
            }   
        }, pojoOBj, testCount);   
   
        // hessian 1 with no deflat   
        testTemplate(new TestCallback() {   
   
            public String getName() {   
                return "hessian 1 with no deflat";   
            }   
   
            @Override   
            public byte[] writeObject(Object source) {   
                try {   
                    ByteArrayOutputStream bos = new ByteArrayOutputStream();   
                    HessianOutput out = new HessianOutput(bos);   
                    out.writeObject(source);   
                    out.flush();   
                    return bos.toByteArray();   
                } catch (Exception e) {   
                    e.printStackTrace();   
                }   
                return null;   
            }   
   
            @Override   
            public Object readObject(byte[] bytes) {   
                try {   
                    ByteArrayInputStream bin = new ByteArrayInputStream(bytes);   
                    HessianInput in = new HessianInput(bin);   
                    Object obj = in.readObject();   
                    in.close();   
                    return obj;   
                } catch (IOException e) {   
                    e.printStackTrace();   
                }   
                return null;   
            }   
        }, pojoOBj, testCount);




測試結果

序列化數據對比



 

bytes字節數對比

具體的數字: 

protobuf jackson xstream Serializable hessian2 hessian2壓縮 hessian1
序列化(單位ns) 1154 5421  92406  10189 26794 100766 29027
反序列化(單位ns) 1334 8743  117329  64027 37871 188432 37596
bytes 97 311  664  824 374 283 495

 

  1. protobuf 無論是處理時間上,仍是空間佔用上都優於現有的其餘序列化方式。內存暫用是java 序列化的1/9,時間也是差了一個數量級,一次操做在1us左右。缺點:就是對象結構體有限制,只適合於內部系統使用。
  2. json格式在空間佔用仍是有一些優點,是java序列化的1/2.6。序列化和反序列化處理時間上差很少,也就在5us。固然此次使用的jackson,若是使用普通的jsonlib可能沒有這樣好的性能,jsonlib估計跟java序列化差很少。
  3. xml相比於java序列化來講,空間佔用上有點優點,但不明顯。處理時間上比java序列化多了一個數量級,在100us左右。
  4. 之前一種的java序列化,表現得有些失望
  5. hessian測試有點意外,具體序列化數據上還步入json。性能上也不如jackjson,輸得比較完全。
  6. hessian使用壓縮,雖然在字節上有20%以上的空間提高,但性能上差了4,5倍,典型的以時間換空間。總的來講仍是google protobuf比較給力

 

總結 

之後在內部系統,數據cache存儲上能夠考慮使用protobuf。跟外部系統交互上能夠考慮使用json。

 

有興趣的同窗,能夠研究一下google protobuf的marshall的方式:http://code.google.com/intl/zh/apis/protocolbuffers/docs/encoding.html

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