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Add example of dataframe API aggregations
Provide example for min, max, count. This is useful for users to update their code following the conversion from builtin to UDAFs.
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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. | ||
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use datafusion::error::Result; | ||
use datafusion::functions_aggregate::count::count; | ||
use datafusion::prelude::*; | ||
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/// This example demonstrates executing a DataFrame operation against an Arrow data source (CSV) and | ||
/// fetching results. See `csv_sql.rs` for a SQL version of this example. | ||
#[tokio::main] | ||
async fn main() -> Result<()> { | ||
// create local execution context | ||
let ctx = SessionContext::new(); | ||
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let testdata = datafusion::test_util::arrow_test_data(); | ||
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// execute the query | ||
let df = ctx | ||
.read_csv( | ||
&format!("{testdata}/csv/aggregate_test_100.csv"), | ||
CsvReadOptions::new(), | ||
) | ||
.await? | ||
.filter(col("c11").gt(lit(0.1)).and(col("c11").lt(lit(0.9))))? | ||
.aggregate( | ||
vec![col("c1")], | ||
vec![ | ||
min(col("c12")), | ||
max(col("c12")), | ||
count(col("c12")), | ||
], | ||
)?; | ||
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// print the results | ||
df.show().await?; | ||
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Ok(()) | ||
} |
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