| // Licensed to the Apache Software Foundation (ASF) under one |
| // or more contributor license agreements. See the NOTICE file |
| // distributed with this work for additional information |
| // regarding copyright ownership. The ASF licenses this file |
| // to you under the Apache License, Version 2.0 (the |
| // "License"); you may not use this file except in compliance |
| // with the License. You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, |
| // software distributed under the License is distributed on an |
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| // KIND, either express or implied. See the License for the |
| // specific language governing permissions and limitations |
| // under the License. |
| |
| extern crate arrow; |
| |
| use arrow::array::{BinaryArray, Float64Array}; |
| use arrow::csv; |
| use std::fs::File; |
| |
| fn main() { |
| let file = File::open("test/data/uk_cities_with_headers.csv").unwrap(); |
| let builder = csv::ReaderBuilder::new() |
| .has_headers(true) |
| .infer_schema(Some(100)); |
| let mut csv = builder.build(file).unwrap(); |
| let batch = csv.next().unwrap().unwrap(); |
| |
| println!( |
| "Loaded {} rows containing {} columns", |
| batch.num_rows(), |
| batch.num_columns() |
| ); |
| |
| println!("Inferred schema: {:?}", batch.schema()); |
| |
| let city = batch |
| .column(0) |
| .as_any() |
| .downcast_ref::<BinaryArray>() |
| .unwrap(); |
| let lat = batch |
| .column(1) |
| .as_any() |
| .downcast_ref::<Float64Array>() |
| .unwrap(); |
| let lng = batch |
| .column(2) |
| .as_any() |
| .downcast_ref::<Float64Array>() |
| .unwrap(); |
| |
| for i in 0..batch.num_rows() { |
| let city_name: String = String::from_utf8(city.value(i).to_vec()).unwrap(); |
| |
| println!( |
| "City: {}, Latitude: {}, Longitude: {}", |
| city_name, |
| lat.value(i), |
| lng.value(i) |
| ); |
| } |
| } |