Functional implementation code for C# file content retrieval

In order to build an efficient file content retrieval system, we need to consider more details and implementation strategies. The following is an extension to the previous technical solution, as well as a more detailed C# demo example, which includes simplified implementation ideas for index construction, multithreading and file monitoring.

Extended technical solution

Index construction：

• Use mature full-text search engine libraries such as Elasticsearch to build inverted indexes. These libraries provide efficient data structures and algorithms to store and retrieve text data.
• During the index construction process, preprocessing operations such as word segmentation, stop word removal, and stem extraction can be performed on the text to improve the accuracy of the search.

Multithreaded processing：

• Using C#TaskParallel library to process file reading, index building and search operations in parallel.
• This can significantly increase the system's throughput. Pay attention to thread safety and resource contention issues, and ensure that multiple threads do not write to the same file or index at the same time.

File monitoring：

• useFileSystemWatcherClass to monitor file changes in the specified directory. When a file is added, deleted, or modified,FileSystemWatcherThe corresponding event will be triggered.
• In the event handler, the index can be updated to reflect the latest status of the file system.

Search Optimization：

• Implement advanced search functions such as boolean query, fuzzy query, and wildcard query.
• Paginate the search results to avoid memory overflow caused by excessive data loading at one time.
• Highlight matches in search results so that users can quickly target content of interest.

Error handling and logging：

• Add appropriate error handling logic during file reading, index building, and search to catch and handle possible exceptions.
• Use logging frameworks (such as NLog, log4net, etc.) to record the system's operating status and error information for troubleshooting and performance tuning.

Detailed C# Demo Example (simplified version)

Note that due to space limitations and complexity considerations, the following examples only show simplified implementation ideas for index building and search functions. More complex code may be needed in practical applications to deal with problems such as multithreading, file monitoring and error handling.

using System;  
using ;  
using ;  
using ;  
using ;  
// Suppose a simplified "index" class is used to simulate the index building processpublic class SimpleIndex  
{  
    private Dictionary<string, List<string>> index = new Dictionary<string, List<string>>();  
    public void AddFile(string filePath, string content)  
    {  
        // Suppose that the text is simply processed (more complex word segmentation algorithms may be required in practice)        string[] words = (new[] { ' ', ',', '.', '!', '?' }, );  
        foreach (var word in words)  
        {  
            if (!(word))  
            {  
                index[word] = new List<string>();  
            }  
            index[word].Add(filePath);  
        }  
    }  
    public List<string> Search(string searchTerm)  
    {  
        if ((searchTerm))  
        {  
            return index[searchTerm];  
        }  
        return new List<string>();  
    }  
}  
public class FileContentSearch  
{  
    private SimpleIndex index = new SimpleIndex();  
    public async Task BuildIndexAsync(string directoryPath)  
    {  
        var tasks = new List<Task>();  
        foreach (var filePath in (directoryPath, "*.*", ))  
        {  
            ((() =>  
            {  
                try  
                {  
                    string fileContent = (filePath);  
                    (filePath, fileContent);  
                }  
                catch (Exception ex)  
                {  
                    ($"Error reading file {filePath}: {}");  
                }  
            }));  
        }  
        await (tasks);  
    }  
    public List<string> Search(string searchTerm)  
    {  
        return (searchTerm);  
    }  
}  
public class Program  
{  
    public static async Task Main(string[] args)  
    {  
        string directoryPath = @"C:\Your\Directory\Path";  
        FileContentSearch search = new FileContentSearch();  
        // Build index        await (directoryPath);  
        // Search keywords        string searchTerm = "your_search_term";  
        List<string> results = (searchTerm);  
        ("Found in files:");  
        foreach (var result in results)  
        {  
            (result);  
        }  
    }  
}

Things to note

• In the above exampleSimpleIndexClasses are a very simplified index implementation for demonstration purposes only. In practical applications, professional full-text search engine libraries like Elasticsearch should be used to build and manage indexes.
• BuildIndexAsyncThe method uses multithreading to process file reads and indexing builds in parallel to improve performance. However, in practical applications, thread safety and resource contention issues need to be considered and index consistency is ensured.
• SearchThe method returns a list of file paths containing search keywords. In actual applications, you may need to provide richer search results information, such as file content summary, match highlighting, etc.
• There is no implementation of file monitoring in the example. In practical applications, you can useFileSystemWatcherClasses to monitor changes in the file system and update the index when files are added, deleted, or modified.
• Error handling and logging are critical to any production-level system. The example only contains basic error handling logic, and you should add more detailed error handling and logging code according to actual needs.

This is the end of this article about the function of C# file content retrieval. For more related C# file content retrieval content, please search for my previous articles or continue browsing the related articles below. I hope everyone will support me in the future!