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Add example of dataframe API aggregations
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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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findepi committed Jul 2, 2024
1 parent ebc4485 commit 9673315
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52 changes: 52 additions & 0 deletions datafusion-examples/examples/csv_dataframe.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 datafusion::error::Result;
use datafusion::functions_aggregate::count::count;
use datafusion::prelude::*;

/// 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();

let testdata = datafusion::test_util::arrow_test_data();

// 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")),
],
)?;

// print the results
df.show().await?;

Ok(())
}
4 changes: 2 additions & 2 deletions datafusion-examples/examples/csv_sql.rs
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Expand Up @@ -19,7 +19,7 @@ use datafusion::error::Result;
use datafusion::prelude::*;

/// This example demonstrates executing a simple query against an Arrow data source (CSV) and
/// fetching results
/// fetching results. See `csv_dataframe.rs` for a DataFrame version of this example.
#[tokio::main]
async fn main() -> Result<()> {
// create local execution context
Expand All @@ -38,7 +38,7 @@ async fn main() -> Result<()> {
// execute the query
let df = ctx
.sql(
"SELECT c1, MIN(c12), MAX(c12) \
"SELECT c1, MIN(c12), MAX(c12), COUNT(*) \
FROM aggregate_test_100 \
WHERE c11 > 0.1 AND c11 < 0.9 \
GROUP BY c1",
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