Module arrow_csv::reader

CSV Reader

Basic Usage

This CSV reader allows CSV files to be read into the Arrow memory model. Records are loaded in batches and are then converted from row-based data to columnar data.

Example:

let schema = Schema::new(vec![
    Field::new("city", DataType::Utf8, false),
    Field::new("lat", DataType::Float64, false),
    Field::new("lng", DataType::Float64, false),
]);

let file = File::open("test/data/uk_cities.csv").unwrap();

let mut csv = ReaderBuilder::new(Arc::new(schema)).build(file).unwrap();
let batch = csv.next().unwrap().unwrap();

Async Usage

The lower-level Decoder can be integrated with various forms of async data streams, and is designed to be agnostic to the various different kinds of async IO primitives found within the Rust ecosystem.

For example, see below for how it can be used with an arbitrary Stream of Bytes

fn decode_stream<S: Stream<Item = Bytes> + Unpin>(
    mut decoder: Decoder,
    mut input: S,
) -> impl Stream<Item = Result<RecordBatch, ArrowError>> {
    let mut buffered = Bytes::new();
    futures::stream::poll_fn(move |cx| {
        loop {
            if buffered.is_empty() {
                if let Some(b) = ready!(input.poll_next_unpin(cx)) {
                    buffered = b;
                }
                // Note: don't break on `None` as the decoder needs
                // to be called with an empty array to delimit the
                // final record
            }
            let decoded = match decoder.decode(buffered.as_ref()) {
                Ok(0) => break,
                Ok(decoded) => decoded,
                Err(e) => return Poll::Ready(Some(Err(e))),
            };
            buffered.advance(decoded);
        }

        Poll::Ready(decoder.flush().transpose())
    })
}

In a similar vein, it can also be used with tokio-based IO primitives

fn decode_stream<R: AsyncBufRead + Unpin>(
    mut decoder: Decoder,
    mut reader: R,
) -> impl Stream<Item = Result<RecordBatch, ArrowError>> {
    futures::stream::poll_fn(move |cx| {
        loop {
            let b = match ready!(Pin::new(&mut reader).poll_fill_buf(cx)) {
                Ok(b) => b,
                Err(e) => return Poll::Ready(Some(Err(e.into()))),
            };
            let decoded = match decoder.decode(b) {
                // Note: the decoder needs to be called with an empty
                // array to delimit the final record
                Ok(0) => break,
                Ok(decoded) => decoded,
                Err(e) => return Poll::Ready(Some(Err(e))),
            };
            Pin::new(&mut reader).consume(decoded);
        }

        Poll::Ready(decoder.flush().transpose())
    })
}

Structs

• BufReader
  CSV file reader
• Decoder
  A push-based interface for decoding CSV data from an arbitrary byte stream
• Format
  The format specification for the CSV file
• ReaderBuilder
  CSV file reader builder

Functions

• infer_file_schemaDeprecated
  Infer the schema of a CSV file by reading through the first n records of the file, with max_read_records controlling the maximum number of records to read.
• infer_reader_schemaDeprecated
  Infer schema of CSV records provided by struct that implements Read trait.
• infer_schema_from_files
  Infer schema from a list of CSV files by reading through first n records with max_read_records controlling the maximum number of records to read.

Type Aliases

• Reader
  CSV file reader using std::io::BufReader