datafusion-functions 47.0.0

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// to you under the Apache License, Version 2.0 (the
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// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
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// under the License.

extern crate criterion;

use std::sync::Arc;

use arrow::array::{Array, ArrayRef, TimestampSecondArray};
use criterion::{black_box, criterion_group, criterion_main, Criterion};
use datafusion_common::ScalarValue;
use rand::rngs::ThreadRng;
use rand::Rng;

use datafusion_expr::{ColumnarValue, ScalarFunctionArgs};
use datafusion_functions::datetime::date_bin;

fn timestamps(rng: &mut ThreadRng) -> TimestampSecondArray {
    let mut seconds = vec![];
    for _ in 0..1000 {
        seconds.push(rng.gen_range(0..1_000_000));
    }

    TimestampSecondArray::from(seconds)
}

fn criterion_benchmark(c: &mut Criterion) {
    c.bench_function("date_bin_1000", |b| {
        let mut rng = rand::thread_rng();
        let timestamps_array = Arc::new(timestamps(&mut rng)) as ArrayRef;
        let batch_len = timestamps_array.len();
        let interval = ColumnarValue::Scalar(ScalarValue::new_interval_dt(0, 1_000_000));
        let timestamps = ColumnarValue::Array(timestamps_array);
        let udf = date_bin();
        let return_type = udf
            .return_type(&[interval.data_type(), timestamps.data_type()])
            .unwrap();

        b.iter(|| {
            black_box(
                udf.invoke_with_args(ScalarFunctionArgs {
                    args: vec![interval.clone(), timestamps.clone()],
                    number_rows: batch_len,
                    return_type: &return_type,
                })
                .expect("date_bin should work on valid values"),
            )
        })
    });
}

criterion_group!(benches, criterion_benchmark);
criterion_main!(benches);