This is an automated email from the ASF dual-hosted git repository.

github-bot pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/datafusion.git


The following commit(s) were added to refs/heads/main by this push:
     new 56fec71c7b Add left function benchmark (#19600)
56fec71c7b is described below

commit 56fec71c7be925d40d6b62897a179a1599ffc071
Author: Liang-Chi Hsieh <[email protected]>
AuthorDate: Fri Jan 2 23:19:16 2026 +0800

    Add left function benchmark (#19600)
    
    ## Which issue does this PR close?
    
    <!--
    We generally require a GitHub issue to be filed for all bug fixes and
    enhancements and this helps us generate change logs for our releases.
    You can link an issue to this PR using the GitHub syntax. For example
    `Closes #123` indicates that this PR will close issue #123.
    -->
    
    - Closes #.
    
    ## Rationale for this change
    
    <!--
    Why are you proposing this change? If this is already explained clearly
    in the issue then this section is not needed.
    Explaining clearly why changes are proposed helps reviewers understand
    your changes and offer better suggestions for fixes.
    -->
    
    ## What changes are included in this PR?
    
    <!--
    There is no need to duplicate the description in the issue here but it
    is sometimes worth providing a summary of the individual changes in this
    PR.
    -->
    
    ## Are these changes tested?
    
    <!--
    We typically require tests for all PRs in order to:
    1. Prevent the code from being accidentally broken by subsequent changes
    2. Serve as another way to document the expected behavior of the code
    
    If tests are not included in your PR, please explain why (for example,
    are they covered by existing tests)?
    -->
    
    ## Are there any user-facing changes?
    
    <!--
    If there are user-facing changes then we may require documentation to be
    updated before approving the PR.
    -->
    
    <!--
    If there are any breaking changes to public APIs, please add the `api
    change` label.
    -->
---
 datafusion/functions/Cargo.toml      |   5 ++
 datafusion/functions/benches/left.rs | 111 +++++++++++++++++++++++++++++++++++
 2 files changed, 116 insertions(+)

diff --git a/datafusion/functions/Cargo.toml b/datafusion/functions/Cargo.toml
index 5ceeee57b0..42bc9f6741 100644
--- a/datafusion/functions/Cargo.toml
+++ b/datafusion/functions/Cargo.toml
@@ -294,3 +294,8 @@ required-features = ["unicode_expressions"]
 harness = false
 name = "levenshtein"
 required-features = ["unicode_expressions"]
+
+[[bench]]
+harness = false
+name = "left"
+required-features = ["unicode_expressions"]
diff --git a/datafusion/functions/benches/left.rs 
b/datafusion/functions/benches/left.rs
new file mode 100644
index 0000000000..3ea628fe29
--- /dev/null
+++ b/datafusion/functions/benches/left.rs
@@ -0,0 +1,111 @@
+// 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;
+use criterion::{BenchmarkId, Criterion, criterion_group, criterion_main};
+use datafusion_common::config::ConfigOptions;
+use datafusion_expr::{ColumnarValue, ScalarFunctionArgs};
+use datafusion_functions::unicode::left;
+
+fn create_args(size: usize, str_len: usize, use_negative: bool) -> 
Vec<ColumnarValue> {
+    let string_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![
+        ColumnarValue::Array(string_array),
+        ColumnarValue::Array(Arc::clone(&n_array) as ArrayRef),
+    ]
+}
+
+fn criterion_benchmark(c: &mut Criterion) {
+    for size in [1024, 4096] {
+        let mut group = c.benchmark_group(format!("left size={size}"));
+
+        // Benchmark with positive n (no optimization needed)
+        let args = create_args(size, 32, false);
+        group.bench_function(BenchmarkId::new("positive n", 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(
+                    left()
+                        .invoke_with_args(ScalarFunctionArgs {
+                            args: args.clone(),
+                            arg_fields: arg_fields.clone(),
+                            number_rows: size,
+                            return_field: Field::new("f", DataType::Utf8, 
true).into(),
+                            config_options: Arc::clone(&config_options),
+                        })
+                        .expect("left should work"),
+                )
+            })
+        });
+
+        // Benchmark with negative n (triggers optimization)
+        let args = create_args(size, 32, true);
+        group.bench_function(BenchmarkId::new("negative n", 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(
+                    left()
+                        .invoke_with_args(ScalarFunctionArgs {
+                            args: args.clone(),
+                            arg_fields: arg_fields.clone(),
+                            number_rows: size,
+                            return_field: Field::new("f", DataType::Utf8, 
true).into(),
+                            config_options: Arc::clone(&config_options),
+                        })
+                        .expect("left should work"),
+                )
+            })
+        });
+
+        group.finish();
+    }
+}
+
+criterion_group!(benches, criterion_benchmark);
+criterion_main!(benches);


---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to