benchmarks for convert_to_state

datafusion/functions-aggregate/Cargo.toml

@@ -48,3 +48,11 @@ datafusion-physical-expr-common = { workspace = true }
 log = { workspace = true }
 paste = "1.0.14"
 sqlparser = { workspace = true }
+
+[dev-dependencies]
+arrow = { workspace = true, features = ["test_utils"] }
+criterion = "0.5"
+
+[[bench]]
+name = "count"
+harness = false

datafusion/functions-aggregate/benches/count.rs

@@ -0,0 +1,95 @@
+// 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::{ArrayRef, BooleanArray};
+use arrow::datatypes::Int32Type;
+use arrow::util::bench_util::{create_boolean_array, create_primitive_array};
+use arrow_schema::{DataType, Field, Schema};
+use criterion::{black_box, criterion_group, criterion_main, Criterion};
+use datafusion_common::DFSchema;
+use datafusion_expr::{function::AccumulatorArgs, AggregateUDFImpl, GroupsAccumulator};
+use datafusion_functions_aggregate::count::Count;
+use std::sync::Arc;
+
+fn prepare_accumulator() -> Box<dyn GroupsAccumulator> {
+    let schema = Arc::new(Schema::new(vec![Field::new("f", DataType::Int32, true)]));
+    let df_schema = DFSchema::try_from(Arc::clone(&schema)).unwrap();
+    let accumulator_args = AccumulatorArgs {
+        data_type: &DataType::Int64,
+        schema: &schema,
+        dfschema: &df_schema,
+        ignore_nulls: false,
+        sort_exprs: &[],
+        is_reversed: false,
+        name: "COUNT(f)",
+        is_distinct: false,
+        input_types: &[DataType::Int32],
+        input_exprs: &[datafusion_expr::col("f")],
+    };
+    let count_fn = Count::new();
+
+    count_fn
+        .create_groups_accumulator(accumulator_args)
+        .unwrap()
+}
+
+fn convert_to_state_bench(
+    c: &mut Criterion,
+    name: &str,
+    values: ArrayRef,
+    opt_filter: Option<&BooleanArray>,
+) {
+    let accumulator = prepare_accumulator();
+    c.bench_function(name, |b| {
+        b.iter(|| {
+            black_box(
+                accumulator
+                    .convert_to_state(&[values.clone()], opt_filter)
+                    .unwrap(),
+            )
+        })
+    });
+}
+
+fn count_benchmark(c: &mut Criterion) {
+    let values = Arc::new(create_primitive_array::<Int32Type>(8192, 0.0)) as ArrayRef;
+    convert_to_state_bench(c, "count convert state no nulls, no filter", values, None);
+
+    let values = Arc::new(create_primitive_array::<Int32Type>(8192, 0.3)) as ArrayRef;
+    convert_to_state_bench(c, "count convert state nulls, no filter", values, None);
+
+    let values = Arc::new(create_primitive_array::<Int32Type>(8192, 0.0)) as ArrayRef;
+    let filter = create_boolean_array(8192, 0.0, 0.5);
+    convert_to_state_bench(
+        c,
+        "count convert state no nulls, filter",
+        values,
+        Some(&filter),
+    );
+
+    let values = Arc::new(create_primitive_array::<Int32Type>(8192, 0.3)) as ArrayRef;
+    let filter = create_boolean_array(8192, 0.0, 0.5);
+    convert_to_state_bench(
+        c,
+        "count convert state nulls, filter",
+        values,
+        Some(&filter),
+    );
+}
+
+criterion_group!(benches, count_benchmark);
+criterion_main!(benches);