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How Can LINQ and Iterators Efficiently Read a File Line by Line in C#?

Susan Sarandon
Susan SarandonOriginal
2025-01-04 17:25:40619browse

How Can LINQ and Iterators Efficiently Read a File Line by Line in C#?

Reading a File Line by Line in C# with LINQ and Iterators

When working with text files, it is often necessary to process each line individually. C# offers several approaches for this task, but LINQ can provide a more concise and efficient solution without compromising operational efficiency.

The classical approach involves utilizing a StreamReader. However, LINQ offers a powerful alternative that allows for more flexible and readable code. Iterators can be used to create a sequence of lines, which can then be processed in a streaming fashion, avoiding the need to load the entire file into memory.

Here is an example of such an iterator-based LINQ expression:

static IEnumerable<string> ReadFrom(string file) {
    string line;
    using(var reader = File.OpenText(file)) {
        while((line = reader.ReadLine()) != null) {
            yield return line;
        }
    }
}

This function returns a sequence of lines read from the specified file. Each line is yielded as it is read, allowing for lazy evaluation and efficient processing.

To process the lines further, you can use LINQ methods such as Where, Select, and Aggregate to perform filtering, mapping, and aggregation operations without the need for explicit iteration. For example:

var typedSequence = from line in ReadFrom(path)
                    let record = ParseLine(line)
                    where record.Active // for example
                    select record.Key;

In this example, the ReadFrom function is used to create a sequence of lines. Each line is then parsed into a data record using the ParseLine function. The Where clause filters out inactive records, and the Select clause projects a key value from each remaining record.

In summary, LINQ and iterators can be used to create efficient and maintainable line-by-line file reading code in C#. By leveraging the capabilities of iterators, you can avoid the overhead of loading the entire file into memory and streamline the file processing process.

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