add bench codes for view type read write

arrow-array/src/array/byte_view_array.rs

@@ -377,6 +377,18 @@ impl<T: ByteViewType + ?Sized> From<GenericByteViewArray<T>> for ArrayData {
     }
 }
 
+impl<'a, Ptr, T> FromIterator<&'a Option<Ptr>> for GenericByteViewArray<T>
+where
+    Ptr: AsRef<T::Native> + 'a,
+    T: ByteViewType + ?Sized,
+{
+    fn from_iter<I: IntoIterator<Item = &'a Option<Ptr>>>(iter: I) -> Self {
+        iter.into_iter()
+            .map(|o| o.as_ref().map(|p| p.as_ref()))
+            .collect()
+    }
+}
+
 impl<Ptr, T: ByteViewType + ?Sized> FromIterator<Option<Ptr>> for GenericByteViewArray<T>
 where
     Ptr: AsRef<T::Native>,
@@ -433,6 +445,24 @@ impl From<Vec<&str>> for StringViewArray {
     }
 }
 
+impl From<Vec<Option<&str>>> for StringViewArray {
+    fn from(v: Vec<Option<&str>>) -> Self {
+        v.into_iter().collect()
+    }
+}
+
+impl From<Vec<String>> for StringViewArray {
+    fn from(v: Vec<String>) -> Self {
+        Self::from_iter_values(v)
+    }
+}
+
+impl From<Vec<Option<String>>> for StringViewArray {
+    fn from(v: Vec<Option<String>>) -> Self {
+        v.into_iter().collect()
+    }
+}
+
 #[cfg(test)]
 mod tests {
     use crate::builder::StringViewBuilder;

arrow/src/util/bench_util.rs

@@ -119,6 +119,78 @@ pub fn create_string_array_with_len<Offset: OffsetSizeTrait>(
         .collect()
 }
 
+/// Creates a random (but fixed-seeded) array of a given size, null density and length
+pub fn create_string_view_array_with_len(
+    size: usize,
+    null_density: f32,
+    str_len: usize,
+    mixed: bool,
+) -> StringViewArray {
+    let rng = &mut seedable_rng();
+
+    let mut lengths = Vec::with_capacity(size);
+
+    // if mixed, we creates first half that string length small than 12 bytes and second half large than 12 bytes
+    if mixed {
+        for _ in 0..size / 2 {
+            lengths.push(rng.gen_range(1..12));
+        }
+        for _ in size / 2..size {
+            lengths.push(rng.gen_range(12..=std::cmp::max(30, str_len)));
+        }
+    } else {
+        lengths.resize(size, str_len);
+    }
+
+    lengths
+        .into_iter()
+        .map(|len| {
+            if rng.gen::<f32>() < null_density {
+                None
+            } else {
+                let value: Vec<u8> = rng.sample_iter(&Alphanumeric).take(len).collect();
+                Some(String::from_utf8(value).unwrap())
+            }
+        })
+        .collect()
+}
+
+/// Creates a random (but fixed-seeded) array of a given size, null density and length
+pub fn create_binary_view_array_with_len(
+    size: usize,
+    null_density: f32,
+    str_len: usize,
+    mixed: bool,
+) -> BinaryViewArray {
+    let rng = &mut seedable_rng();
+
+    let mut lengths = Vec::with_capacity(size);
+
+    // if mixed, we creates first half that string length small than 12 bytes and second half large than 12 bytes
+    if mixed {
+        for _ in 0..size / 2 {
+            lengths.push(rng.gen_range(1..12));
+        }
+        for _ in size / 2..size {
+            lengths.push(rng.gen_range(12..=std::cmp::max(30, str_len)));
+        }
+    } else {
+        lengths.resize(size, str_len);
+    }
+
+    lengths
+        .into_iter()
+        .map(|len| {
+            if rng.gen::<f32>() < null_density {
+                None
+            } else {
+                let value: Vec<u8> = rng.sample_iter(&Alphanumeric).take(len).collect();
+                Some(value)
+            }
+        })
+        .collect()
+}
+
 /// Creates an random (but fixed-seeded) array of a given size and null density
 /// consisting of random 4 character alphanumeric strings
 pub fn create_string_dict_array<K: ArrowDictionaryKeyType>(

arrow/src/util/data_gen.rs

@@ -121,9 +121,21 @@ pub fn create_random_array(
         },
         Utf8 => Arc::new(create_string_array::<i32>(size, null_density)),
         LargeUtf8 => Arc::new(create_string_array::<i64>(size, null_density)),
+        Utf8View => Arc::new(create_string_view_array_with_len(
+            size,
+            null_density,
+            4,
+            false,
+        )),
         Binary => Arc::new(create_binary_array::<i32>(size, null_density)),
         LargeBinary => Arc::new(create_binary_array::<i64>(size, null_density)),
         FixedSizeBinary(len) => Arc::new(create_fsb_array(size, null_density, *len as usize)),
+        BinaryView => Arc::new(create_binary_view_array_with_len(
+            size,
+            null_density,
+            4,
+            false,
+        )),
         List(_) => create_random_list_array(field, size, null_density, true_density)?,
         LargeList(_) => create_random_list_array(field, size, null_density, true_density)?,
         Struct(fields) => Arc::new(StructArray::try_from(

parquet/benches/arrow_reader.rs

@@ -23,7 +23,8 @@ use criterion::{criterion_group, criterion_main, BenchmarkGroup, Criterion};
 use num::FromPrimitive;
 use num_bigint::BigInt;
 use parquet::arrow::array_reader::{
-    make_byte_array_reader, make_fixed_len_byte_array_reader, ListArrayReader,
+    make_byte_array_reader, make_byte_view_array_reader, make_fixed_len_byte_array_reader,
+    ListArrayReader,
 };
 use parquet::basic::Type;
 use parquet::data_type::{ByteArray, FixedLenByteArrayType};
@@ -502,6 +503,13 @@ fn create_string_byte_array_reader(
     make_byte_array_reader(Box::new(page_iterator), column_desc, None).unwrap()
 }
 
+fn create_string_view_byte_array_reader(
+    page_iterator: impl PageIterator + 'static,
+    column_desc: ColumnDescPtr,
+) -> Box<dyn ArrayReader> {
+    make_byte_view_array_reader(Box::new(page_iterator), column_desc, None).unwrap()
+}
+
 fn create_string_byte_array_dictionary_reader(
     page_iterator: impl PageIterator + 'static,
     column_desc: ColumnDescPtr,
@@ -993,6 +1001,95 @@ fn add_benches(c: &mut Criterion) {
 
     group.finish();
 
+    // string view benchmarks
+    //==============================
+
+    let mut group = c.benchmark_group("arrow_array_reader/StringViewArray");
+
+    // string, plain encoded, no NULLs
+    let plain_string_no_null_data =
+        build_plain_encoded_string_page_iterator(mandatory_string_column_desc.clone(), 0.0);
+    group.bench_function("plain encoded, mandatory, no NULLs", |b| {
+        b.iter(|| {
+            let array_reader = create_string_view_byte_array_reader(
+                plain_string_no_null_data.clone(),
+                mandatory_string_column_desc.clone(),
+            );
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    let plain_string_no_null_data =
+        build_plain_encoded_string_page_iterator(optional_string_column_desc.clone(), 0.0);
+    group.bench_function("plain encoded, optional, no NULLs", |b| {
+        b.iter(|| {
+            let array_reader = create_string_view_byte_array_reader(
+                plain_string_no_null_data.clone(),
+                optional_string_column_desc.clone(),
+            );
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    // string, plain encoded, half NULLs
+    let plain_string_half_null_data =
+        build_plain_encoded_string_page_iterator(optional_string_column_desc.clone(), 0.5);
+    group.bench_function("plain encoded, optional, half NULLs", |b| {
+        b.iter(|| {
+            let array_reader = create_string_view_byte_array_reader(
+                plain_string_half_null_data.clone(),
+                optional_string_column_desc.clone(),
+            );
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    // string, dictionary encoded, no NULLs
+    let dictionary_string_no_null_data =
+        build_dictionary_encoded_string_page_iterator(mandatory_string_column_desc.clone(), 0.0);
+    group.bench_function("dictionary encoded, mandatory, no NULLs", |b| {
+        b.iter(|| {
+            let array_reader = create_string_view_byte_array_reader(
+                dictionary_string_no_null_data.clone(),
+                mandatory_string_column_desc.clone(),
+            );
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    let dictionary_string_no_null_data =
+        build_dictionary_encoded_string_page_iterator(optional_string_column_desc.clone(), 0.0);
+    group.bench_function("dictionary encoded, optional, no NULLs", |b| {
+        b.iter(|| {
+            let array_reader = create_string_view_byte_array_reader(
+                dictionary_string_no_null_data.clone(),
+                optional_string_column_desc.clone(),
+            );
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    // string, dictionary encoded, half NULLs
+    let dictionary_string_half_null_data =
+        build_dictionary_encoded_string_page_iterator(optional_string_column_desc.clone(), 0.5);
+    group.bench_function("dictionary encoded, optional, half NULLs", |b| {
+        b.iter(|| {
+            let array_reader = create_string_view_byte_array_reader(
+                dictionary_string_half_null_data.clone(),
+                optional_string_column_desc.clone(),
+            );
+            count = bench_array_reader(array_reader);
+        });
+        assert_eq!(count, EXPECTED_VALUE_COUNT);
+    });
+
+    group.finish();
+
     // list benchmarks
     //==============================
 

parquet/benches/arrow_writer.rs

@@ -96,6 +96,24 @@ fn create_string_bench_batch(
     )?)
 }
 
+fn create_string_view_bench_batch(
+    size: usize,
+    null_density: f32,
+    true_density: f32,
+) -> Result<RecordBatch> {
+    let fields = vec![
+        Field::new("_1", DataType::Utf8View, true),
+        Field::new("_2", DataType::BinaryView, true),
+    ];
+    let schema = Schema::new(fields);
+    Ok(create_random_batch(
+        Arc::new(schema),
+        size,
+        null_density,
+        true_density,
+    )?)
+}
+
 fn create_string_dictionary_bench_batch(
     size: usize,
     null_density: f32,
@@ -395,6 +413,22 @@ fn bench_primitive_writer(c: &mut Criterion) {
         b.iter(|| write_batch_enable_bloom_filter(&batch).unwrap())
     });
 
+    let batch = create_string_view_bench_batch(4096, 0.25, 0.75).unwrap();
+    group.throughput(Throughput::Bytes(
+        batch
+            .columns()
+            .iter()
+            .map(|f| f.get_array_memory_size() as u64)
+            .sum(),
+    ));
+    group.bench_function("4096 values string", |b| {
+        b.iter(|| write_batch(&batch).unwrap())
+    });
+
+    group.bench_function("4096 values string with bloom filter", |b| {
+        b.iter(|| write_batch_enable_bloom_filter(&batch).unwrap())
+    });
+
     let batch = create_string_dictionary_bench_batch(4096, 0.25, 0.75).unwrap();
     group.throughput(Throughput::Bytes(
         batch

parquet/src/arrow/array_reader/mod.rs

@@ -46,6 +46,7 @@ mod test_util;
 
 pub use builder::build_array_reader;
 pub use byte_array::make_byte_array_reader;
+pub use byte_array::make_byte_view_array_reader;
 pub use byte_array_dictionary::make_byte_array_dictionary_reader;
 #[allow(unused_imports)] // Only used for benchmarks
 pub use fixed_len_byte_array::make_fixed_len_byte_array_reader;

parquet/src/arrow/arrow_writer/mod.rs

@@ -1231,7 +1231,8 @@ mod tests {
     fn arrow_writer_binary_view() {
         let string_field = Field::new("a", DataType::Utf8View, false);
         let binary_field = Field::new("b", DataType::BinaryView, false);
-        let schema = Schema::new(vec![string_field, binary_field]);
+        let nullable_string_field = Field::new("a", DataType::Utf8View, true);
+        let schema = Schema::new(vec![string_field, binary_field, nullable_string_field]);
 
         let raw_string_values = vec!["foo", "bar", "large payload over 12 bytes", "lulu"];
         let raw_binary_values = vec![
@@ -1240,16 +1241,24 @@ mod tests {
             b"large payload over 12 bytes".to_vec(),
             b"lulu".to_vec(),
         ];
+        let nullable_string_values =
+            vec![Some("foo"), None, Some("large payload over 12 bytes"), None];
 
         let string_view_values = StringViewArray::from(raw_string_values);
         let binary_view_values = BinaryViewArray::from_iter_values(raw_binary_values);
+        let nullable_string_view_values = StringViewArray::from(nullable_string_values);
         let batch = RecordBatch::try_new(
             Arc::new(schema),
-            vec![Arc::new(string_view_values), Arc::new(binary_view_values)],
+            vec![
+                Arc::new(string_view_values),
+                Arc::new(binary_view_values),
+                Arc::new(nullable_string_view_values),
+            ],
         )
         .unwrap();
 
-        roundtrip(batch, Some(SMALL_SIZE / 2));
+        roundtrip(batch.clone(), Some(SMALL_SIZE / 2));
+        roundtrip(batch, None);
     }
 
     fn get_decimal_batch(precision: u8, scale: i8) -> RecordBatch {

parquet/src/arrow/buffer/offset_buffer.rs

@@ -154,17 +154,14 @@ impl<I: OffsetSizeTrait> OffsetBuffer<I> {
         }
     }
 
-    fn build_generic_byte_view(&self) -> GenericByteViewBuilder<BinaryViewType> {
+    fn build_generic_byte_view(self) -> GenericByteViewBuilder<BinaryViewType> {
         let mut builder = GenericByteViewBuilder::<BinaryViewType>::with_capacity(self.len());
-        for i in self.offsets.windows(2) {
-            let start = i[0];
-            let end = i[1];
-            let b = unsafe {
-                std::slice::from_raw_parts(
-                    self.values.as_ptr().offset(start.to_isize().unwrap()),
-                    (end - start).to_usize().unwrap(),
-                )
-            };
+        let mut values = self.values;
+        for window in self.offsets.windows(2) {
+            let start = window[0];
+            let end = window[1];
+            let len = (end - start).to_usize().unwrap();
+            let b = values.drain(..len).collect::<Vec<u8>>();
             if b.is_empty() {
                 builder.append_null();
             } else {