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csv_sql.rs
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csv_sql.rs
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// 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.
use arrow::util::pretty;
use datafusion::error::Result;
use datafusion::prelude::*;
/// This example demonstrates executing a simple query against an Arrow data source (CSV) and
/// fetching results
fn main() -> Result<()> {
// create local execution context
let mut ctx = ExecutionContext::new();
let testdata = std::env::var("ARROW_TEST_DATA").expect("ARROW_TEST_DATA not defined");
// register csv file with the execution context
ctx.register_csv(
"aggregate_test_100",
&format!("{}/csv/aggregate_test_100.csv", testdata),
CsvReadOptions::new(),
)?;
// execute the query
let df = ctx.sql(
"SELECT c1, MIN(c12), MAX(c12) \
FROM aggregate_test_100 \
WHERE c11 > 0.1 AND c11 < 0.9 \
GROUP BY c1",
)?;
let results = df.collect()?;
// print the results
pretty::print_batches(&results)?;
Ok(())
}