JSON.NET VS BinaryFormatter 性能

近期有个性能调优工作。通过dottrace 分析，发现几处问题，其中json.net 在序列化和反序列化的时候也比较耗性能，所以考虑能不能通过其它序列化方式来提高性能。

1 object 序列化代码

    public class ObjectConvert
    {
        /// <summary> 
        /// 将一个object对象序列化，返回一个byte[]         
        /// </summary> 
        /// <param name="obj">能序列化的对象</param>         
        /// <returns></returns> 
        public static byte[] ObjectToBytes(object obj)
        {
            using (MemoryStream ms = new MemoryStream())
            {
                IFormatter formatter = new BinaryFormatter();
                formatter.Serialize(ms,obj); return ms.GetBuffer();
            }
        }
 
        /// <summary> 
        /// 将一个序列化后的byte[]数组还原         
        /// </summary>
        /// <param name="Bytes"></param>         
        /// <returns></returns> 
        public static object BytesToObject(byte[] Bytes)
        {
            using (MemoryStream ms = new MemoryStream(Bytes))
            {
                IFormatter formatter = new BinaryFormatter();
                return formatter.Deserialize(ms);
            }
        }
    }

2 Test 方法，用了老赵写的codetimer

    [TestClass]
    public class SerializeTestor
    {
        private List<UserInfo> InitData(int count)
        {
            UserInfo user = null;
            List<UserInfo> users = new List<UserInfo>();
 
            for (int i = 0; i < count; i++)
            {
                user = new UserInfo();
                user.Age = new Random().Next(10,100);
                user.Name = "yuan";
                user.CreateTime = DateTime.Now;
                users.Add(user);
            }
 
            return users;
        }
        private List<UserInfo> InitBigStringData(int count)
        {
            UserInfo user = null;
            List<UserInfo> users = new List<UserInfo>();
 
            for (int i = 0; i < count; i++)
            {
                user = new UserInfo();
                user.Age = new Random().Next(10,100);
                //user.Name = "yuan";
                user.Name = "yudddddddddddddddddddddddddddyudddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddanyudddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddanyudddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddanyudddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddanddddddddddddddddddddddddddddddddddddddddddddddddddan";
                user.CreateTime = DateTime.Now;
                users.Add(user);
            }
 
            return users;
        }
 
        [TestMethod]
        public void Serialize_十万次_Test()
        {
            var users = InitData(100000);
            // object序列化
            CodeTimer.Time("object序列化",1,() =>
            {
                var temps = ObjectConvert.ObjectToBytes(users);
            });
            // newtonsoft.json
            CodeTimer.Time("json.net序列化",() =>
             {
                 var temps = JsonConvert.SerializeObject(users);
             });
        }
 
        [TestMethod]
        public void Serialize_百万次_Test()
        {
            var users = InitData(1000000);
            // object序列化
            CodeTimer.Time("object序列化",() =>
            {
                var temps = JsonConvert.SerializeObject(users);
            });
        }
        [TestMethod]
        public void SerializeBigString_十万次_Test()
        {
            var users = InitBigStringData(100000);
            // object序列化
            CodeTimer.Time("object序列化",() =>
            {
                var temps = JsonConvert.SerializeObject(users);
            });
        }
        [TestMethod]
        public void SerializeBigString_百万次_Test()
        {
            var users = InitBigStringData(1000000);
            // object序列化
            CodeTimer.Time("object序列化",() =>
            {
                var temps = JsonConvert.SerializeObject(users);
            });
        } 
    }

3 测试结果：

Serialize_十万次_Test：
object序列化
	Time Elapsed:		188ms
	Time Elapsed (one time):188ms
	cpu time:		187,500,000ns
	cpu time (one time):	187,000ns
	Gen 0: 			1
	Gen 1: 			0
	Gen 2: 			0
 
json.net序列化
	Time Elapsed:		138ms
	Time Elapsed (one time):138ms
	cpu time:		140,625,000ns
	cpu time (one time):	140,000ns
	Gen 0: 			3
	Gen 1: 			1
	Gen 2: 			0
 
================================================
Serialize_百万次_Test
object序列化
	Time Elapsed:		2,073ms
	Time Elapsed (one time):2,073ms
	cpu time:		2,078,125,000ns
	cpu time (one time):	2,000ns
	Gen 0: 			23
	Gen 1: 			1
	Gen 2: 			0
 
json.net序列化
	Time Elapsed:		1,449ms
	Time Elapsed (one time):1,449ms
	cpu time:		1,437,000ns
	cpu time (one time):	1,000ns
	Gen 0: 			28
	Gen 1: 			27
	Gen 2: 			0
 
 
===================================================
SerializeBigString_十万次_Test
object序列化
	Time Elapsed:		187ms
	Time Elapsed (one time):187ms
	cpu time:		187,000ns
	Gen 0: 			3
	Gen 1: 			2
	Gen 2: 			2
 
json.net序列化
	Time Elapsed:		339ms
	Time Elapsed (one time):339ms
	cpu time:		328,000ns
	cpu time (one time):	328,000ns
	Gen 0: 			19
	Gen 1: 			14
	Gen 2: 			3
 
======================================================
SerializeBigString_百万次_Test
object序列化
	Time Elapsed:		2,099ms
	Time Elapsed (one time):2,099ms
	cpu time:		2,046,875,000ns
	Gen 0: 			26
	Gen 1: 			25
	Gen 2: 			3
 
json.net序列化
    System.OutOfMemoryException: 引发类型为“System.OutOfMemoryException”的异常。

4 结论：

JSON.NET 在小对象处理时，性能比BinaryFormatter好

JSON.NET 比BinaryFormatter 耗内存

JSON.NET GC中带回收的对象会比较影响整体性能

JSON.NET VS BinaryFormatter 性能

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