samuelralak on Nostr: ...

quoting
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I'm working on a Rust project where I need to process large files asynchronously. I've been experimenting with Rust's async-await feature, but I'm running into issues with performance and memory management. Specifically, I'm trying to read large files line by line without loading the entire file into memory at once. Here's a snippet of my current approach:

```rust
use tokio::fs::File;
use tokio::io::{self, AsyncBufReadExt, BufReader};

async fn process_large_file(file_path: &str) -> io::Result<()> {
let file = File::open(file_path).await?;
let reader = BufReader::new(file);
let mut lines = reader.lines();

while let Some(line) = lines.next_line().await? {
// Process each line here
// ...
}

Ok(())
}

#[tokio::main]
async fn main() {
match process_large_file("large_file.txt").await {
Ok(()) => println!("File processed successfully."),
Err(e) => eprintln!("Error processing file: {}", e),
}
}
```

I've noticed that this approach still seems to consume a significant amount of memory with very large files. I'm wondering if there's a more efficient way to handle this in Rust, especially for files that are several gigabytes in size.

Any advice on optimizing file reading in Rust for large files, or general best practices when using async-await for IO-bound tasks?