[Variant] Add variant_kernels benchmark

parquet-variant-compute/Cargo.toml

@@ -41,9 +41,11 @@ name = "parquet_variant_compute"
 bench = false
 
 [dev-dependencies]
+rand = "0.9.1"
 criterion = { version = "0.6", default-features = false }
-rand = { version = "0.9.1" }
+
 
 [[bench]]
-name = "variant_get"
+name = "variant_kernels"
 harness = false
+

parquet-variant-compute/benches/variant_kernels.rs

@@ -0,0 +1,237 @@
+// 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::{ArrayRef, StringArray};
+use arrow::util::test_util::seedable_rng;
+use criterion::{criterion_group, criterion_main, Criterion};
+use parquet_variant::{Variant, VariantBuilder};
+use parquet_variant_compute::variant_get::{variant_get, GetOptions};
+use parquet_variant_compute::{batch_json_string_to_variant, VariantArray, VariantArrayBuilder};
+use rand::distr::Alphanumeric;
+use rand::rngs::StdRng;
+use rand::Rng;
+use rand::SeedableRng;
+use std::fmt::Write;
+use std::sync::Arc;
+
+/// This function generates a vector of JSON strings, each representing a person
+/// with random first name, last name, and age.
+///
+/// Example:
+/// ```json
+/// {
+///   "first" : random_string_of_1_to_20_characters,
+///   "last" : random_string_of_1_to_20_characters,
+///   "age": random_value_between_20_and_80,
+/// }
+/// ```
+fn small_repeated_json_structure(count: usize) -> impl Iterator<Item = String> {
+    let mut rng = seedable_rng();
+    (0..count).map(move |_| {
+        let first: String = (0..rng.random_range(1..=20))
+            .map(|_| rng.sample(Alphanumeric) as char)
+            .collect();
+        let last: String = (0..rng.random_range(1..=20))
+            .map(|_| rng.sample(Alphanumeric) as char)
+            .collect();
+        let age: u8 = rng.random_range(20..=80);
+        format!("{{\"first\":\"{first}\",\"last\":\"{last}\",\"age\":{age}}}")
+    })
+}
+
+/// This function generates a vector of JSON strings which have many fields
+/// and a random structure (including field names)
+fn small_random_json_structure(count: usize) -> impl Iterator<Item = String> {
+    let mut generator = RandomJsonGenerator::new();
+    (0..count).map(move |_| generator.next().to_string())
+}
+
+fn benchmark_batch_json_string_to_variant(c: &mut Criterion) {
+    let input_array = StringArray::from_iter_values(small_repeated_json_structure(8000));
+    let array_ref: ArrayRef = Arc::new(input_array);
+    c.bench_function(
+        "batch_json_string_to_variant small_repeated_json 8k string",
+        |b| {
+            b.iter(|| {
+                let _ = batch_json_string_to_variant(&array_ref).unwrap();
+            });
+        },
+    );
+
+    let input_array = StringArray::from_iter_values(small_random_json_structure(8000));
+    let array_ref: ArrayRef = Arc::new(input_array);
+    c.bench_function(
+        "batch_json_string_to_variant small_random_json 8k string",
+        |b| {
+            b.iter(|| {
+                let _ = batch_json_string_to_variant(&array_ref).unwrap();
+            });
+        },
+    );
+}
+
+fn create_primitive_variant(size: usize) -> VariantArray {
+    let mut rng = StdRng::seed_from_u64(42);
+
+    let mut variant_builder = VariantArrayBuilder::new(1);
+
+    for _ in 0..size {
+        let mut builder = VariantBuilder::new();
+        builder.append_value(rng.random::<i64>());
+        let (metadata, value) = builder.finish();
+        variant_builder.append_variant(Variant::try_new(&metadata, &value).unwrap());
+    }
+
+    variant_builder.build()
+}
+
+pub fn variant_get_bench(c: &mut Criterion) {
+    let variant_array = create_primitive_variant(8192);
+    let input: ArrayRef = Arc::new(variant_array);
+
+    let options = GetOptions {
+        path: vec![].into(),
+        as_type: None,
+        cast_options: Default::default(),
+    };
+
+    c.bench_function("variant_get_primitive", |b| {
+        b.iter(|| variant_get(&input.clone(), options.clone()))
+    });
+}
+
+criterion_group!(
+    benches,
+    variant_get_bench,
+    benchmark_batch_json_string_to_variant
+);
+criterion_main!(benches);
+
+/// Creates JSON with random structure and fields.
+///
+/// Each type is created in a random proportion, controlled by the
+/// probabilities. The sum of all probabilities should be 1.0.
+struct RandomJsonGenerator {
+    /// Random number generator
+    rng: StdRng,
+    /// the probability of generating a null value
+    null_probability: f64,
+    /// the probably of generating a string value
+    string_probability: f64,
+    /// the probably of generating a number value
+    number_probability: f64,
+    /// the probably of generating a boolean value
+    boolean_probability: f64,
+    /// the probably of generating an object value
+    object_probability: f64,
+    // probability of generating a JSON array is the remaining probability
+    /// The maximum depth of the generated JSON structure
+    max_depth: usize,
+    /// output buffer
+    output_buffer: String,
+}
+
+impl RandomJsonGenerator {
+    fn new() -> Self {
+        let rng = seedable_rng();
+        Self {
+            rng,
+            null_probability: 0.05,
+            string_probability: 0.25,
+            number_probability: 0.25,
+            boolean_probability: 0.10,
+            object_probability: 0.10,
+            max_depth: 5,
+            output_buffer: String::new(),
+        }
+    }
+
+    fn next(&mut self) -> &str {
+        self.output_buffer.clear();
+        self.append_random_json(0);
+        &self.output_buffer
+    }
+
+    /// Appends a random JSON value to the output buffer.
+    fn append_random_json(&mut self, current_depth: usize) {
+        if current_depth >= self.max_depth {
+            write!(&mut self.output_buffer, "\"max_depth reached\"").unwrap();
+            return;
+        }
+        // Generate a random number to determine the type
+        let random_value: f64 = self.rng.random();
+        if random_value < self.null_probability {
+            write!(&mut self.output_buffer, "null").unwrap();
+        } else if random_value < self.null_probability + self.string_probability {
+            // Generate a random string between 1 and 500 characters
+            let length = self.rng.random_range(1..=500);
+            let random_string: String = (0..length)
+                .map(|_| self.rng.sample(Alphanumeric) as char)
+                .collect();
+            write!(&mut self.output_buffer, "\"{random_string}\"",).unwrap();
+        } else if random_value
+            < self.null_probability + self.string_probability + self.number_probability
+        {
+            // Generate a random number
+            let random_number: f64 = self.rng.random_range(-1000.0..1000.0);
+            write!(&mut self.output_buffer, "{random_number}",).unwrap();
+        } else if random_value
+            < self.null_probability
+                + self.string_probability
+                + self.number_probability
+                + self.boolean_probability
+        {
+            // Generate a random boolean
+            let random_boolean: bool = self.rng.random();
+            write!(&mut self.output_buffer, "{random_boolean}",).unwrap();
+        } else if random_value
+            < self.null_probability
+                + self.string_probability
+                + self.number_probability
+                + self.boolean_probability
+                + self.object_probability
+        {
+            // Generate a random object
+            let num_fields = self.rng.random_range(1..=10);
+
+            write!(&mut self.output_buffer, "{{").unwrap();
+            for i in 0..num_fields {
+                let key_length = self.rng.random_range(1..=20);
+                let key: String = (0..key_length)
+                    .map(|_| self.rng.sample(Alphanumeric) as char)
+                    .collect();
+                write!(&mut self.output_buffer, "\"{key}\":").unwrap();
+                self.append_random_json(current_depth + 1);
+                if i < num_fields - 1 {
+                    write!(&mut self.output_buffer, ",").unwrap();
+                }
+            }
+            write!(&mut self.output_buffer, "}}").unwrap();
+        } else {
+            // Generate a random array
+            let length = self.rng.random_range(1..=10);
+            write!(&mut self.output_buffer, "[").unwrap();
+            for i in 0..length {
+                self.append_random_json(current_depth + 1);
+                if i < length - 1 {
+                    write!(&mut self.output_buffer, ",").unwrap();
+                }
+            }
+            write!(&mut self.output_buffer, "]").unwrap();
+        }
+    }
+}