spark_expr_floor

Author: B Vadlamani

datafusion/spark/Cargo.toml

@@ -97,3 +97,7 @@ name = "unhex"
 [[bench]]
 harness = false
 name = "sha2"
+
+[[bench]]
+harness = false
+name = "floor"

datafusion/spark/benches/floor.rs

@@ -0,0 +1,119 @@
+// 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::array::*;
+use arrow::datatypes::*;
+use criterion::{Criterion, criterion_group, criterion_main};
+use datafusion_common::config::ConfigOptions;
+use datafusion_expr::{ColumnarValue, ScalarFunctionArgs, ScalarUDFImpl};
+use datafusion_spark::function::math::floor::SparkFloor;
+use rand::rngs::StdRng;
+use rand::{Rng, SeedableRng};
+use std::hint::black_box;
+use std::sync::Arc;
+
+fn seedable_rng() -> StdRng {
+    StdRng::seed_from_u64(42)
+}
+
+fn generate_float64_data(size: usize, null_density: f32) -> Float64Array {
+    let mut rng = seedable_rng();
+    (0..size)
+        .map(|_| {
+            if rng.random::<f32>() < null_density {
+                None
+            } else {
+                Some(rng.random_range::<f64, _>(-1_000_000.0..1_000_000.0))
+            }
+        })
+        .collect()
+}
+
+fn generate_decimal128_data(size: usize, null_density: f32) -> Decimal128Array {
+    let mut rng = seedable_rng();
+    let array: Decimal128Array = (0..size)
+        .map(|_| {
+            if rng.random::<f32>() < null_density {
+                None
+            } else {
+                Some(rng.random_range::<i128, _>(-999_999_999..999_999_999))
+            }
+        })
+        .collect();
+    array.with_precision_and_scale(18, 2).unwrap()
+}
+
+fn run_benchmark(
+    c: &mut Criterion,
+    name: &str,
+    size: usize,
+    array: Arc<dyn Array>,
+    return_type: &DataType,
+) {
+    let floor_func = SparkFloor::new();
+    let args = vec![ColumnarValue::Array(array)];
+    let arg_fields: Vec<_> = args
+        .iter()
+        .enumerate()
+        .map(|(idx, arg)| Field::new(format!("arg_{idx}"), arg.data_type(), true).into())
+        .collect();
+    let config_options = Arc::new(ConfigOptions::default());
+
+    c.bench_function(&format!("{name}/size={size}"), |b| {
+        b.iter(|| {
+            black_box(
+                floor_func
+                    .invoke_with_args(ScalarFunctionArgs {
+                        args: args.clone(),
+                        arg_fields: arg_fields.clone(),
+                        number_rows: size,
+                        return_field: Arc::new(Field::new(
+                            "f",
+                            return_type.clone(),
+                            true,
+                        )),
+                        config_options: Arc::clone(&config_options),
+                    })
+                    .unwrap(),
+            )
+        })
+    });
+}
+
+fn criterion_benchmark(c: &mut Criterion) {
+    let sizes = vec![1024, 4096, 8192];
+    let null_density = 0.1;
+
+    for &size in &sizes {
+        let data = generate_float64_data(size, null_density);
+        run_benchmark(c, "floor_float64", size, Arc::new(data), &DataType::Int64);
+    }
+
+    for &size in &sizes {
+        let data = generate_decimal128_data(size, null_density);
+        run_benchmark(
+            c,
+            "floor_decimal128",
+            size,
+            Arc::new(data),
+            &DataType::Decimal128(17, 0),
+        );
+    }
+}
+
+criterion_group!(benches, criterion_benchmark);
+criterion_main!(benches);