How Can Stream Optimization Techniques Improve Reading Large Text Files in C#?

Reading large -scale text files in C#: Streaming optimization technology

When processing large text files, loading files to the application may become a bottleneck. This article discusses how to use flow and various optimization technologies to improve the efficiency of this process.

Optimized strategy:

<.> 1. StreamReader recovery:

StreamReader with a bufferedstream packaging can significantly speed up reading operations. In the following code example, BufferedStream is used as an intermediate between FileStream and StreamReader:

This method reduces the number of operating system calls because the data slow is in the buffer.

<.> 2. The producer/consumer mode using TPL DataFlow:

<code class="language-csharp">using (FileStream fs = File.Open(path, FileMode.Open, FileAccess.Read, FileShare.ReadWrite))
using (BufferedStream bs = new BufferedStream(fs))
using (StreamReader sr = new StreamReader(bs))
{
    string line;
    while ((line = sr.ReadLine()) != null)
    {
        //在此处处理行
    }
}</code>

For maximum files, the producer/consumer model of TPL DataFlow can further improve performance. In this mode, one separate thread is used to read text lines, while the other thread is used to handle these lines. By using parallelism, this method can significantly improve scalability.

<.> 3. Use the flow length to initialize StringBuilder:

If the length of the known flow can be initialized using the appropriate capacity to initialize the StringBuilder to avoid the size adjustment operation during the addition. This can save memory allocation and improve performance.

Other precautions:

Background work threads to ensure UI response:

Running reading operations in the background work thread can ensure that the main UI thread is maintained.

Treatment line characters: When processing the content of the file, consider the existence of the terminal terminal of the Unix or DOS row.

• By achieving these optimization technologies, you can significantly improve the performance of the application when processing large text files.

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