此代码如何提高速度和代码? [英] How does this code improve the speed and the code?
问题描述
StreamWriter sw1 = new StreamWriter(".\\wj\\" + "UD.txt");
StreamWriter sw2 = new StreamWriter(".\wj\\" + "EW.txt");
StreamWriter sw3 = new StreamWriter(".\\wj件\\" + "NS.txt");
using (StreamReader sr = new StreamReader(txt1.Text, System.Text.Encoding.UTF8, false))
{
char[] c1 = null;
//This is an arbitrary size for this example.
while (sr.Peek() >= 0)
{
c1 = new char[24];
int jj= sr.Read(c1, 0, c1.Length);
if (jj == 24)
{
for (int b = 0; b < c1.Length / 8; b++)
{
string s1 = new string(c1.Take(8).ToArray());
string s2 = new string(c1.Skip(8).Take(8).ToArray());
string s3 = new string(c1.Skip(16).Take(8).ToArray());
sw1.WriteLine(Int32.Parse(s1, System.Globalization.NumberStyles.HexNumber));
sw2.WriteLine(Int32.Parse(s2, System.Globalization.NumberStyles.HexNumber));
sw3.WriteLine(Int32.Parse(s3, System.Globalization.NumberStyles.HexNumber));
}
}
//The output will look odd, because
//only five characters are read at a time.
}
sw1.Close();
sw2.Close();
sw3.Close();
}
txt1.txt，其中有很多数据文件，而且全部都在同一行
请验证我的帐户
txt1.txt，There's a lot of data in the file, and it's all in one line
please verify my account
推荐答案
Hi lctk，
Hi lctk,
谢谢您在这里发布.
根据您的代码，我创建了一些演示来测试速度，您可以参考以下代码(因为我不知道 您的数据大小.因此，我制作了一个数据其中包含2000个字符):
Base on your code,I create some demo to test the speed, you could take reference with the following code( Because I don't know the size of your data.So I make a data that include 2000 char ):
1.展开数组的长度(花费9毫秒):
c1 = new char[240];
int jj = sr.Read(c1, 0, c1.Length);
if (jj >= 24)
{
for (int b = 0; b < (jj / 8 )-2; b++)
{
string s1 = new string(c1.Take(8).ToArray());
string s2 = new string(c1.Skip(8).Take(8).ToArray());
string s3 = new string(c1.Skip(16).Take(8).ToArray());
sw1.WriteLine(Int32.Parse(s1, System.Globalization.NumberStyles.HexNumber));
sw2.WriteLine(Int32.Parse(s2, System.Globalization.NumberStyles.HexNumber));
sw3.WriteLine(Int32.Parse(s3, System.Globalization.NumberStyles.HexNumber));
}
}
该代码适用于大数据，您可以对其进行调整数组长度以适合数据量.
2.使用File.ReadAllText代替StreamReader 支出 12毫秒
2.Using the File.ReadAllText instead of StreamReader (spend 12 millisecond).
string sr = File.ReadAllText(@".\\txt1.Text", System.Text.Encoding.UTF8);
char[] c1 = sr.ToArray();
for (int b = 0; b < (c1.Length / 8)-2; b += 3)
{
String s1 = new String(c1.Skip(b * 8).Take(8).ToArray());
string s2 = new string(c1.Skip((b + 1) * 8).Take(8).ToArray());
string s3 = new string(c1.Skip((b + 2) * 8).Take(8).ToArray());
sw1.WriteLine(Int32.Parse(s1, System.Globalization.NumberStyles.HexNumber));
sw2.WriteLine(Int32.Parse(s2, System.Globalization.NumberStyles.HexNumber));
sw3.WriteLine(Int32.Parse(s3, System.Globalization.NumberStyles.HexNumber));
}
3.File.ReadAllTex方法适用于少量数据，这对于提高处理少量数据的运行速度非常有利 花费13毫秒 ).
3.The method File.ReadAllTex is suitable for a small amount of data,it is well good to improve the speed of running in handing small amount of data (spend 13 millisecond).
string[] sr = File.ReadAllLines(@".\\txt1.Text", System.Text.Encoding.UTF8);
char[] c1 = sr[0].ToArray();
for (int b = 0; b < (c1.Length / 8) - 2; b += 3)
{
String s1 = new String(c1.Skip(b * 8).Take(8).ToArray());
string s2 = new string(c1.Skip((b + 1) * 8).Take(8).ToArray());
string s3 = new string(c1.Skip((b + 2) * 8).Take(8).ToArray());
sw1.WriteLine(Int32.Parse(s1, System.Globalization.NumberStyles.HexNumber));
sw2.WriteLine(Int32.Parse(s2, System.Globalization.NumberStyles.HexNumber));
sw3.WriteLine(Int32.Parse(s3, System.Globalization.NumberStyles.HexNumber));
}
我对该演示进行了测试，但速度并没有明显提高.您可以使用该方法在您的项目上进行测试.
我建议您可以选择第一种方法.我测试了代码，它运行良好.
我希望这会对您有所帮助.
最好的问候，
Wendy
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