apache
diff --git a/‎datafusion/functions/Cargo.toml‎
Lines changed: 1 addition & 6 deletions b/‎datafusion/functions/Cargo.toml‎
Lines changed: 1 addition & 6 deletions
diff --git a/‎datafusion/functions/benches/left.rs‎
Lines changed: 0 additions & 140 deletions b/‎datafusion/functions/benches/left.rs‎
Lines changed: 0 additions & 140 deletions
diff --git a/‎datafusion/functions/benches/left_right.rs‎
Lines changed: 130 additions & 0 deletions b/‎datafusion/functions/benches/left_right.rs‎
Lines changed: 130 additions & 0 deletions
@@ -308,12 +308,7 @@ required-features = ["string_expressions"]
 
 [[bench]]
 harness = false
-name = "left"
-required-features = ["unicode_expressions"]
-
-[[bench]]
-harness = false
-name = "right"
+name = "left_right"
 required-features = ["unicode_expressions"]
 
 [[bench]]
 
@@ -0,0 +1,130 @@
+// 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.
+
+extern crate criterion;
+
+use std::hint::black_box;
+use std::sync::Arc;
+
+use arrow::array::{ArrayRef, Int64Array};
+use arrow::datatypes::{DataType, Field};
+use arrow::util::bench_util::{
+    create_string_array_with_len, create_string_view_array_with_len,
+};
+use criterion::{BenchmarkId, Criterion, criterion_group, criterion_main};
+use datafusion_common::config::ConfigOptions;
+use datafusion_expr::{ColumnarValue, ScalarFunctionArgs};
+use datafusion_functions::unicode::{left, right};
+
+fn create_args(
+    size: usize,
+    str_len: usize,
+    use_negative: bool,
+    is_string_view: bool,
+) -> Vec<ColumnarValue> {
+    let string_arg = if is_string_view {
+        ColumnarValue::Array(Arc::new(create_string_view_array_with_len(
+            size, 0.1, str_len, true,
+        )))
+    } else {
+        ColumnarValue::Array(Arc::new(create_string_array_with_len::<i32>(
+            size, 0.1, str_len,
+        )))
+    };
+
+    // For negative n, we want to trigger the double-iteration code path
+    let n_values: Vec<i64> = if use_negative {
+        (0..size).map(|i| -((i % 10 + 1) as i64)).collect()
+    } else {
+        (0..size).map(|i| (i % 10 + 1) as i64).collect()
+    };
+    let n_array = Arc::new(Int64Array::from(n_values));
+
+    vec![
+        string_arg,
+        ColumnarValue::Array(Arc::clone(&n_array) as ArrayRef),
+    ]
+}
+
+fn criterion_benchmark(c: &mut Criterion) {
+    let left_function = left();
+    let right_function = right();
+
+    for function in [left_function, right_function] {
+        for is_string_view in [false, true] {
+            for is_negative in [false, true] {
+                for size in [1024, 4096] {
+                    let function_name = function.name();
+                    let mut group =
+                        c.benchmark_group(format!("{function_name} size={size}"));
+
+                    let bench_name = format!(
+                        "{} {} n",
+                        if is_string_view {
+                            "string_view_array"
+                        } else {
+                            "string_array"
+                        },
+                        if is_negative { "negative" } else { "positive" },
+                    );
+                    let return_type = if is_string_view {
+                        DataType::Utf8View
+                    } else {
+                        DataType::Utf8
+                    };
+
+                    let args = create_args(size, 32, is_negative, is_string_view);
+                    group.bench_function(BenchmarkId::new(bench_name, size), |b| {
+                        let arg_fields = args
+                            .iter()
+                            .enumerate()
+                            .map(|(idx, arg)| {
+                                Field::new(format!("arg_{idx}"), arg.data_type(), true)
+                                    .into()
+                            })
+                            .collect::<Vec<_>>();
+                        let config_options = Arc::new(ConfigOptions::default());
+
+                        b.iter(|| {
+                            black_box(
+                                function
+                                    .invoke_with_args(ScalarFunctionArgs {
+                                        args: args.clone(),
+                                        arg_fields: arg_fields.clone(),
+                                        number_rows: size,
+                                        return_field: Field::new(
+                                            "f",
+                                            return_type.clone(),
+                                            true,
+                                        )
+                                        .into(),
+                                        config_options: Arc::clone(&config_options),
+                                    })
+                                    .expect("should work"),
+                            )
+                        })
+                    });
+
+                    group.finish();
+                }
+            }
+        }
+    }
+}
+
+criterion_group!(benches, criterion_benchmark);
+criterion_main!(benches);