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// 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
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// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

extern crate arrow;
extern crate criterion;

use criterion::*;

use arrow::array::*;
#[cfg(feature = "csv")]
use arrow::csv;
use arrow::datatypes::*;
use arrow::record_batch::RecordBatch;
use std::fs::File;
use std::sync::Arc;

fn criterion_benchmark(c: &mut Criterion) {
    #[cfg(feature = "csv")]
    {
        let schema = Schema::new(vec![
            Field::new("c1", DataType::Utf8, false),
            Field::new("c2", DataType::Float64, true),
            Field::new("c3", DataType::UInt32, false),
            Field::new("c4", DataType::Boolean, true),
        ]);

        let c1 = StringArray::from(vec![
            "Lorem ipsum dolor sit amet",
            "consectetur adipiscing elit",
            "sed do eiusmod tempor",
        ]);
        let c2 = PrimitiveArray::<Float64Type>::from(vec![
            Some(123.564532),
            None,
            Some(-556132.25),
        ]);
        let c3 = PrimitiveArray::<UInt32Type>::from(vec![3, 2, 1]);
        let c4 = BooleanArray::from(vec![Some(true), Some(false), None]);

        let b = RecordBatch::try_new(
            Arc::new(schema),
            vec![Arc::new(c1), Arc::new(c2), Arc::new(c3), Arc::new(c4)],
        )
        .unwrap();
        let file = File::create("target/bench_write_csv.csv").unwrap();
        let mut writer = csv::Writer::new(file);
        let batches = vec![&b, &b, &b, &b, &b, &b, &b, &b, &b, &b, &b];

        c.bench_function("record_batches_to_csv", |b| {
            b.iter(|| {
                #[allow(clippy::unit_arg)]
                criterion::black_box(for batch in &batches {
                    writer.write(batch).unwrap()
                });
            });
        });
    }
}

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