Java 17 File I/O: How to Read Large CSV Files Efficiently without OutOfMemoryError?
I'm stuck on something that should probably be simple. I'm having trouble with I'm trying to read a large CSV file using Java 17's NIO package, but I'm working with an `OutOfMemoryError` when the file size exceeds 500 MB... I used the following code snippet that processes the file line by line, but it seems that it's still loading the entire file into memory due to the way I'm managing the BufferedReader. ```java import java.io.BufferedReader; import java.io.IOException; import java.nio.file.Files; import java.nio.file.Paths; public class CsvReader { public static void main(String[] args) { String filePath = "path/to/largefile.csv"; try (BufferedReader br = Files.newBufferedReader(Paths.get(filePath))) { String line; while ((line = br.readLine()) != null) { processLine(line); } } catch (IOException e) { e.printStackTrace(); } } private static void processLine(String line) { // Process your line here String[] values = line.split(","); // Do something with values } } ``` I've tried to make sure that I'm not storing all lines in a list or similar structure. However, I keep hitting the memory limit. I've also checked the JVM options and set `-Xmx2G` to allow more memory, but the behavior still occurs. Is there a more efficient way to handle reading such large files in Java? Should I consider using a streaming library like Apache Commons CSV or any other best practice? Any suggestions on how to avoid this scenario would be appreciated! I'm working in a CentOS environment. Any advice would be much appreciated. Thanks for your help in advance!