Share your experience of implementing the Pipeline pattern in projects.

The Pipeline pattern allows organizing data processing as a sequence of steps, where the output of one step becomes the input for the next. In Java, I implemented a Pipeline using method chaining or functional interfaces.

For example, to process a collection of data, you can create a chain of functions:

import java.util.function.Function;
import java.util.List;
import java.util.stream.Collectors;

public class PipelineExample {
    public static void main(String[] args) {
        List<String> data = List.of("  one ", "two", " three ");

        Function<String, String> trim = String::trim;
        Function<String, String> toUpper = String::toUpperCase;

        List<String> result = data.stream()
            .map(trim.andThen(toUpper))
            .collect(Collectors.toList());

        System.out.println(result); // [ONE, TWO, THREE]
    }
}

This approach simplifies adding new steps and improves code readability. In more complex cases, you can create custom Pipeline interfaces with methods for adding stages and executing the entire chain.