A fast and flexible CSV reader and writer for Rust, with support for Serde.
Dual-licensed under MIT or the UNLICENSE.
If you're new to Rust, the tutorial is a good place to start.
Add this to your Cargo.toml
:
[dependencies]
csv = "1.0.0-beta.5"
and this to your crate root:
extern crate csv;
This example shows how to read CSV data from stdin and print each record to stdout.
There are more examples in the cookbook.
extern crate csv;
use std::error::Error;
use std::io;
use std::process;
fn example() -> Result<(), Box<Error>> {
// Build the CSV reader and iterate over each record.
let mut rdr = csv::Reader::from_reader(io::stdin());
for result in rdr.records() {
// The iterator yields Result<StringRecord, Error>, so we check the
// error here.
let record = result?;
println!("{:?}", record);
}
Ok(())
}
fn main() {
if let Err(err) = example() {
println!("error running example: {}", err);
process::exit(1);
}
}
The above example can be run like so:
$ git clone git://github.com/BurntSushi/rust-csv
$ cd rust-csv
$ cargo run --example cookbook-read-basic < examples/data/smallpop.csv
This example shows how to read CSV data from stdin into your own custom struct. By default, the member names of the struct are matched with the values in the header record of your CSV data.
extern crate csv;
#[macro_use]
extern crate serde_derive;
use std::error::Error;
use std::io;
use std::process;
#[derive(Debug,Deserialize)]
struct Record {
city: String,
region: String,
country: String,
population: Option<u64>,
}
fn example() -> Result<(), Box<Error>> {
let mut rdr = csv::Reader::from_reader(io::stdin());
for result in rdr.deserialize() {
// Notice that we need to provide a type hint for automatic
// deserialization.
let record: Record = result?;
println!("{:?}", record);
}
Ok(())
}
fn main() {
if let Err(err) = example() {
println!("error running example: {}", err);
process::exit(1);
}
}
The above example can be run like so:
$ git clone git://github.com/BurntSushi/rust-csv
$ cd rust-csv
$ cargo run --example cookbook-read-serde < examples/data/smallpop.csv