Crate quick_csv

Quick Csv reader which performs very well.

Example

First, create a Csv from a BufRead reader, a file or a string

extern crate quick_csv;
 
fn main() {
    let data = "a,b\r\nc,d\r\ne,f";
    let csv = quick_csv::Csv::from_string(data);
    for row in csv.into_iter() {
        // work on csv row ...
        if let Ok(_) = row {
            println!("new row!");
        } else {
            println!("cannot read next line");
        }
    }
}

Row is on the other hand provides 3 methods to access csv columns: - columns: - iterator over columns. - Iterator item is a &str, which means you only have to parse() it to the needed type and you're done

  let mut cols = row.columns().expect("cannot convert to utf8");
  let fifth = cols.nth(5).unwrap().parse::<f64>().unwrap();
  println!("Doubled fifth column: {}", fifth * 2.0);

• decode:

  • deserialize into you Decodable struct, a-la rust-csv.
  • most convenient way to deal with your csv data

  let row = quick_csv::Csv::from_string("a,b,54").next().unwrap().unwrap();
  if let Ok((col1, col2, col3)) = row.decode::<(String, u64, f64)>() {
    println!("col1: '{}', col2: {}, col3: {}", col1, col2, col3);
  }

• bytes_columns:

  • similar to columns but columns are of type &[u8], which means you may want to convert it to &str first
  • performance gain compared to columns is minimal, use it only if you really need to as it is less convenient

Modules

columns	Column management module
error	Error management module

Structs

Csv	Csv reader
Row	Row struct used as Csv iterator Item