| // 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, using the DataFrame trait |
| #[tokio::main] |
| async fn main() -> Result<()> { |
| // create local execution context |
| let mut ctx = ExecutionContext::new(); |
| |
| let testdata = arrow::util::test_util::parquet_test_data(); |
| |
| let filename = &format!("{}/alltypes_plain.parquet", testdata); |
| |
| // define the query using the DataFrame trait |
| let df = ctx |
| .read_parquet(filename)? |
| .select_columns(&["id", "bool_col", "timestamp_col"])? |
| .filter(col("id").gt(lit(1)))?; |
| |
| // execute the query |
| let results = df.collect().await?; |
| |
| // print the results |
| pretty::print_batches(&results)?; |
| |
| Ok(()) |
| } |