zebsme commented on code in PR #15454:
URL: https://github.com/apache/datafusion/pull/15454#discussion_r2016735040


##########
datafusion/physical-plan/benches/read_spill.rs:
##########
@@ -0,0 +1,157 @@
+// 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::{
+    Date32Builder, Decimal128Builder, Int32Builder, RecordBatch, StringBuilder,
+};
+use arrow::datatypes::{DataType, Field, Schema};
+use arrow::ipc::reader::StreamReader;
+use arrow::ipc::writer::StreamWriter;
+use criterion::{criterion_group, criterion_main, BatchSize, BenchmarkId, 
Criterion};
+use datafusion_common::{exec_datafusion_err, Result};
+use std::fs::File;
+use std::path::Path;
+use std::sync::mpsc::{channel, Sender};
+use std::sync::Arc;
+use std::thread;
+use tempfile::NamedTempFile;
+
+fn create_batch(num_rows: usize, allow_nulls: bool) -> RecordBatch {
+    let schema = Arc::new(Schema::new(vec![
+        Field::new("c0", DataType::Int32, true),
+        Field::new("c1", DataType::Utf8, true),
+        Field::new("c2", DataType::Date32, true),
+        Field::new("c3", DataType::Decimal128(11, 2), true),
+    ]));
+
+    let mut a = Int32Builder::new();
+    let mut b = StringBuilder::new();
+    let mut c = Date32Builder::new();
+    let mut d = Decimal128Builder::new()
+        .with_precision_and_scale(11, 2)
+        .unwrap();
+
+    for i in 0..num_rows {
+        a.append_value(i as i32);
+        c.append_value(i as i32);
+        d.append_value((i * 1000000) as i128);
+        if allow_nulls && i % 10 == 0 {
+            b.append_null();
+        } else {
+            b.append_value(format!("this is string number {i}"));
+        }
+    }
+
+    let a = a.finish();
+    let b = b.finish();
+    let c = c.finish();
+    let d = d.finish();
+
+    RecordBatch::try_new(
+        schema.clone(),
+        vec![Arc::new(a), Arc::new(b), Arc::new(c), Arc::new(d)],
+    )
+    .unwrap()
+}
+
+/// Return a temporary file that contains an IPC file with 100 
[`RecordBatch`]es
+fn ipc_file() -> NamedTempFile {
+    let mut file = NamedTempFile::new().unwrap();
+    let batch = create_batch(8192, true);
+    let mut writer =
+        StreamWriter::try_new(file.as_file_mut(), 
batch.schema().as_ref()).unwrap();
+    for _ in 0..100 {
+        writer.write(&batch).unwrap();
+    }
+    writer.finish().unwrap();
+    file
+}
+
+fn bench_spill_read(c: &mut Criterion) {
+    let file = ipc_file();
+    let path = file.path();
+
+    let mut group = c.benchmark_group("read_spill");
+
+    let benches = &[
+        (
+            "StreamReader/read_100/with_validation",
+            read_spill as fn(_, _) -> _,
+        ),
+        (
+            "StreamReader/read_100/skip_validation",
+            read_spill_skip_validation,
+        ),
+    ];
+
+    for &(name, func) in benches {
+        group.bench_with_input(BenchmarkId::new(name, ""), &path, |b, path| {
+            b.iter_batched(
+                // Setup phase: Create fresh state for each benchmark 
iteration.
+                // - A channel to send/receive RecordBatch results between 
threads.
+                // - A background thread to consume received RecordBatches.
+                // This ensures each iteration starts with clean resources.
+                || {
+                    let (sender, receiver) = channel::<Result<RecordBatch>>();
+                    let join_handle = thread::spawn(move || {
+                        while let Ok(batch) = receiver.recv() {
+                            let _ = batch.unwrap();
+                        }
+                    });
+                    (sender, join_handle)
+                },
+                // Benchmark phase:
+                // - Execute the target function to send batches via the 
channel
+                // - Wait for the consumer thread to finish processing
+                |(sender, join_handle)| {
+                    func(sender, path).unwrap();
+                    join_handle.join().unwrap();
+                },
+                BatchSize::LargeInput,
+            )
+        });
+    }
+
+    group.finish();
+}
+criterion_group!(benches, bench_spill_read);
+criterion_main!(benches);
+
+fn read_spill(sender: Sender<Result<RecordBatch>>, path: &Path) -> Result<()> {

Review Comment:
   Thank you so much for the review, I'll do this in the pr.



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