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datafusion 0.1.7 - Docs.rs
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datafusion 0.1.7

DataFusion is a datasource-agnostic distributed query processing framework for Rust inspired by Apache Spark
Documentation
// Copyright 2018 Grove Enterprises LLC
//
// Licensed 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 datafusion;
use datafusion::exec::*;

/// This example shows the steps to parse, plan, and execute simple SQL in the current process
fn main() {

    // create execution context
    let mut ctx = ExecutionContext::new("./test/data".to_string());

    // define an external table (csv file)
    ctx.sql("CREATE EXTERNAL TABLE uk_cities (\
        city VARCHAR(100), \
        lat DOUBLE, \
        lng DOUBLE)").unwrap();

    // define the SQL statement
    let sql = "SELECT ST_AsText(ST_Point(lat, lng)) FROM uk_cities WHERE lat < 53";

    // create a data frame
    let df1 = ctx.sql(&sql).unwrap();

    // write the results to a file
    df1.write("_southern_cities.csv").unwrap();


}