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