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The following commit(s) were added to refs/heads/main by this push:
     new 7d9f620cb5 Benchmarks and performance improvement for parquet boolean 
reader (#10196)
7d9f620cb5 is described below

commit 7d9f620cb5e98489a6962e253e89285bf3fb090d
Author: Jörn Horstmann <[email protected]>
AuthorDate: Tue Jun 23 23:24:36 2026 +0200

    Benchmarks and performance improvement for parquet boolean reader (#10196)
    
    # 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.
    -->
    
    - Closes #10195.
    
    # Rationale for this change
    
    Adds benchmarks and a performance improvements for reading boolean
    arrays from parquet.
    
    The optimized path for building a `Buffer` from `Vec<bool>` already
    existed, using it yields a ~25% performance improvement on the new
    benchmarks.
    
    <!--
    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.
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    # What changes are included in this PR?
    
    <!--
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    is sometimes worth providing a summary of the individual changes in this
    PR.
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    # Are these changes tested?
    
    <!--
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    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)?
    
    If this PR claims a performance improvement, please include evidence
    such as benchmark results.
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    # Are there any user-facing changes?
    
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---
 parquet/benches/arrow_reader.rs                   | 107 +++++++++++++++++++++-
 parquet/src/arrow/array_reader/primitive_array.rs |   2 +-
 2 files changed, 107 insertions(+), 2 deletions(-)

diff --git a/parquet/benches/arrow_reader.rs b/parquet/benches/arrow_reader.rs
index 888ff5083a..7a6ed4ec9f 100644
--- a/parquet/benches/arrow_reader.rs
+++ b/parquet/benches/arrow_reader.rs
@@ -35,7 +35,7 @@ use parquet::{
     arrow::array_reader::ArrayReader,
     basic::Encoding,
     column::page::PageIterator,
-    data_type::{ByteArrayType, Int32Type, Int64Type},
+    data_type::{BoolType, ByteArrayType, Int32Type, Int64Type},
     schema::types::{ColumnDescPtr, SchemaDescPtr},
 };
 use rand::distr::uniform::SampleUniform;
@@ -105,6 +105,8 @@ fn build_test_schema() -> SchemaDescPtr {
                     optional FIXED_LEN_BYTE_ARRAY(32) element;
                 }
             }
+            REQUIRED BOOLEAN mandatory_bool_leaf;
+            OPTIONAL BOOLEAN optional_bool_leaf;
         }
         ";
     parse_message_type(message_type)
@@ -337,6 +339,47 @@ where
     InMemoryPageIterator::new(pages)
 }
 
+fn build_encoded_bool_page_iterator(
+    column_desc: ColumnDescPtr,
+    null_density: f32,
+    encoding: Encoding,
+) -> impl PageIterator + Clone {
+    let max_def_level = column_desc.max_def_level();
+    let max_rep_level = column_desc.max_rep_level();
+    let rep_levels = vec![0; VALUES_PER_PAGE];
+    let mut rng = seedable_rng();
+    let mut pages: Vec<Vec<parquet::column::page::Page>> = Vec::new();
+    for _i in 0..NUM_ROW_GROUPS {
+        let mut column_chunk_pages = Vec::new();
+        for _j in 0..PAGES_PER_GROUP {
+            // generate page
+            let mut values = Vec::with_capacity(VALUES_PER_PAGE);
+            let mut def_levels = Vec::with_capacity(VALUES_PER_PAGE);
+            for _k in 0..VALUES_PER_PAGE {
+                let def_level = if rng.random::<f32>() < null_density {
+                    max_def_level - 1
+                } else {
+                    max_def_level
+                };
+                if def_level == max_def_level {
+                    let value = rng.random_bool(0.5);
+                    values.push(value);
+                }
+                def_levels.push(def_level);
+            }
+            let mut page_builder =
+                DataPageBuilderImpl::new(column_desc.clone(), values.len() as 
u32, true);
+            page_builder.add_rep_levels(max_rep_level, &rep_levels);
+            page_builder.add_def_levels(max_def_level, &def_levels);
+            page_builder.add_values::<BoolType>(encoding, &values);
+            column_chunk_pages.push(page_builder.consume());
+        }
+        pages.push(column_chunk_pages);
+    }
+
+    InMemoryPageIterator::new(pages)
+}
+
 fn build_delta_encoded_incr_primitive_page_iterator<T>(
     column_desc: ColumnDescPtr,
     null_density: f32,
@@ -883,6 +926,16 @@ fn create_primitive_array_reader(
             .unwrap();
             Box::new(reader)
         }
+        Type::BOOLEAN => {
+            let reader = PrimitiveArrayReader::<BoolType>::new(
+                Box::new(page_iterator),
+                column_desc,
+                None,
+                DEFAULT_BATCH_SIZE,
+            )
+            .unwrap();
+            Box::new(reader)
+        }
         _ => unreachable!(),
     }
 }
@@ -1575,6 +1628,47 @@ fn bench_primitive<T>(
     });
 }
 
+fn bench_boolean(
+    group: &mut BenchmarkGroup<WallTime>,
+    mandatory_column_desc: &ColumnDescPtr,
+    optional_column_desc: &ColumnDescPtr,
+) {
+    let mut count: usize = 0;
+
+    // plain encoded, no NULLs
+    let data =
+        build_encoded_bool_page_iterator(mandatory_column_desc.clone(), 0.0, 
Encoding::PLAIN);
+    group.bench_function("plain encoded, mandatory, no NULLs", |b| {
+        b.iter(|| {
+            let array_reader =
+                create_primitive_array_reader(data.clone(), 
mandatory_column_desc.clone());
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    let data = build_encoded_bool_page_iterator(optional_column_desc.clone(), 
0.0, Encoding::PLAIN);
+    group.bench_function("plain encoded, optional, no NULLs", |b| {
+        b.iter(|| {
+            let array_reader =
+                create_primitive_array_reader(data.clone(), 
optional_column_desc.clone());
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    // plain encoded, half NULLs
+    let data = build_encoded_bool_page_iterator(optional_column_desc.clone(), 
0.5, Encoding::PLAIN);
+    group.bench_function("plain encoded, optional, half NULLs", |b| {
+        b.iter(|| {
+            let array_reader =
+                create_primitive_array_reader(data.clone(), 
optional_column_desc.clone());
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+}
+
 // Benchmark reading a struct with a single primitive field.
 // No need to bench all encodings for the data, as that should already be 
covered by `bench_primitive`.
 // The only performance difference should be caused by the additional 
definition level.
@@ -1801,6 +1895,8 @@ fn add_benches(c: &mut Criterion) {
     let optional_struct_optional_in32_column_desc = schema.column(40);
     let int32_list_desc = schema.column(41);
     let fixed32_list_desc = schema.column(42);
+    let mandatory_bool_column_desc = schema.column(43);
+    let optional_bool_column_desc = schema.column(44);
 
     // primitive / int32 benchmarks
     // =============================
@@ -1894,6 +1990,15 @@ fn add_benches(c: &mut Criterion) {
     );
     group.finish();
 
+    // boolean benchmarks
+    let mut group = c.benchmark_group("arrow_array_reader/BooleanArray");
+    bench_boolean(
+        &mut group,
+        &mandatory_bool_column_desc,
+        &optional_bool_column_desc,
+    );
+    group.finish();
+
     let mut group = c.benchmark_group("arrow_array_reader/struct/Int32Array");
     bench_struct_primitive::<Int32Type>(
         &mut group,
diff --git a/parquet/src/arrow/array_reader/primitive_array.rs 
b/parquet/src/arrow/array_reader/primitive_array.rs
index 71218a6282..037f0af81f 100644
--- a/parquet/src/arrow/array_reader/primitive_array.rs
+++ b/parquet/src/arrow/array_reader/primitive_array.rs
@@ -56,7 +56,7 @@ native_buffer!(i8, i16, i32, i64, u8, u16, u32, u64, f32, 
f64);
 
 impl IntoBuffer for Vec<bool> {
     fn into_buffer(self, _target_type: &ArrowType) -> Buffer {
-        BooleanBuffer::from_iter(self).into_inner()
+        BooleanBuffer::from(self.as_slice()).into_inner()
     }
 }
 

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