问题描述
我正在编写处理 2GB 数据的源代码,这些数据代表 60 秒的网络流量。总处理时间约为 40 秒。我正在尝试尽可能优化我的代码以获得最佳性能,以尝试将总处理时间控制在 30 秒以内。
我目前在 dotTrace 中的分析表明,在我的代码进行的 330 万次调用中,有 7.62% 的时间花在了 Timestamp 结构的构造函数中。
具体来说,有两个陈述我正在努力改进:
TimestampHigh = BitConverter.ToUInt32(timestampBytes,0);
TimestampLow = BitConverter.ToUInt32(timestampBytes,4);
这是完整的结构:
public readonly struct Timestamp
{
public uint TimestampHigh { get; }
public uint TimestampLow { get; }
public uint Seconds { get; }
public uint Microseconds { get; }
public DateTime LocalTime => new DateTime(EpochTicks + _ticks,DateTimeKind.Utc).ToLocalTime();
private const ulong MicrosecondsPerSecond = 1000000UL;
private const ulong HighFactor = 4294967296UL;
private readonly ulong _timestamp;
private const long EpochTicks = 621355968000000000L;
private const long TicksPerMicrosecond = 10L;
private readonly long _ticks;
public Timestamp(byte[] timestampBytes,bool reverseByteOrder)
{
if (timestampBytes == null)
throw new ArgumentNullException($"{nameof(timestampBytes)} cannot be null.");
if (timestampBytes.Length != 8)
throw new ArgumentException($"{nameof(timestampBytes)} must have a length of 8.");
TimestampHigh = BitConverter.ToUInt32(timestampBytes,0).ReverseByteOrder(reverseByteOrder);
TimestampLow = BitConverter.ToUInt32(timestampBytes,4).ReverseByteOrder(reverseByteOrder);
_timestamp = ((ulong)TimestampHigh * HighFactor) + (ulong)TimestampLow;
_ticks = (long)_timestamp * TicksPerMicrosecond;
Seconds = (uint)(_timestamp / MicrosecondsPerSecond);
Microseconds = (uint)(_timestamp % MicrosecondsPerSecond);
}
public Timestamp(uint seconds,uint microseconds)
{
Seconds = seconds;
Microseconds = microseconds;
_timestamp = seconds * MicrosecondsPerSecond + microseconds;
_ticks = (long)_timestamp * TicksPerMicrosecond;
TimestampHigh = (uint)(_timestamp / HighFactor);
TimestampLow = (uint)(_timestamp % HighFactor);
}
public byte[] ConvertToBytes(bool reverseByteOrder)
{
List<byte> bytes = new List<byte>();
bytes.AddRange(BitConverter.GetBytes(TimestampHigh.ReverseByteOrder(reverseByteOrder)));
bytes.AddRange(BitConverter.GetBytes(TimestampLow.ReverseByteOrder(reverseByteOrder)));
return bytes.ToArray();
}
public bool Equals(Timestamp other)
{
return TimestampLow == other.TimestampLow && TimestampHigh == other.TimestampHigh;
}
public static bool operator ==(Timestamp left,Timestamp right)
{
return left.Equals(right);
}
public static bool operator !=(Timestamp left,Timestamp right)
{
return !left.Equals(right);
}
public override bool Equals(object obj)
{
return obj is Timestamp other && Equals(other);
}
public override int GetHashCode()
{
return _timestamp.GetHashCode();
}
}
ReverseByteOrder 方法似乎不会造成太大的性能损失,因为根据 dotTrace,它只占不到 0.5% 的时间,但此处仅供参考:
public static UInt32 ReverseByteOrder(this UInt32 value,bool reverseByteOrder)
{
if (!reverseByteOrder)
{
return value;
}
else
{
byte[] bytes = BitConverter.GetBytes(value);
Array.Reverse(bytes);
return BitConverter.ToUInt32(bytes,0);
}
}
解决方法
暂无找到可以解决该程序问题的有效方法,小编努力寻找整理中!
如果你已经找到好的解决方法,欢迎将解决方案带上本链接一起发送给小编。
小编邮箱:dio#foxmail.com (将#修改为@)