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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 (Parquet) and
/// fetching results
#[tokio::main]
async fn main() -> Result<()> {
// create local execution context
let mut ctx = ExecutionContext::new();
let testdata = arrow::util::test_util::parquet_test_data();
// register parquet file with the execution context
ctx.register_parquet(
"alltypes_plain",
&format!("{}/alltypes_plain.parquet", testdata),
)?;
// execute the query
let df = ctx.sql(
"SELECT int_col, double_col, CAST(date_string_col as VARCHAR) \
FROM alltypes_plain \
WHERE id > 1 AND tinyint_col < double_col",
)?;
let results = df.collect().await?;
// print the results
pretty::print_batches(&results)?;
Ok(())
}