Expand description
CSV Reader
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:
use arrow::csv;
use arrow::datatypes::{DataType, Field, Schema};
use std::fs::File;
use std::sync::Arc;
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 = csv::Reader::new(file, Arc::new(schema), false, None, 1024, None, None, None);
let batch = csv.next().unwrap().unwrap();
Structs
CSV file reader
CSV file reader builder
This is a collection of options for csv reader when the builder pattern cannot be used and the parameters need to be passed around
Functions
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 schema of CSV records provided by struct that implements Read
trait.
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.