|
| 1 | +use core::ops::Range; |
| 2 | +use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput}; |
| 3 | +use fastpfor::rust::{FastPFOR, Integer, BLOCK_SIZE_128, BLOCK_SIZE_256, DEFAULT_PAGE_SIZE}; |
| 4 | +use rand::rngs::StdRng; |
| 5 | +use rand::{RngExt as _, SeedableRng}; |
| 6 | +use std::hint::black_box; |
| 7 | +use std::io::Cursor; |
| 8 | + |
| 9 | +const SIZES: &[usize; 2] = &[1024, 4096]; |
| 10 | +const SEED: u64 = 456; |
| 11 | + |
| 12 | +type DataGeneratorFn = fn(usize) -> Vec<u32>; |
| 13 | + |
| 14 | +/// Generate uniformly distributed random data |
| 15 | +fn generate_uniform_data_from_range(size: usize, value_range: Range<u32>) -> Vec<u32> { |
| 16 | + let mut rng = StdRng::seed_from_u64(SEED); |
| 17 | + (0..size) |
| 18 | + .map(|_| rng.random_range(value_range.clone())) |
| 19 | + .collect() |
| 20 | +} |
| 21 | + |
| 22 | +fn generate_uniform_data_small_value_distribution(size: usize) -> Vec<u32> { |
| 23 | + generate_uniform_data_from_range(size, 0..1000) |
| 24 | +} |
| 25 | + |
| 26 | +fn generate_uniform_data_large_value_distribution(size: usize) -> Vec<u32> { |
| 27 | + generate_uniform_data_from_range(size, 0..u32::MAX) |
| 28 | +} |
| 29 | + |
| 30 | +/// Generate clustered data - values tend to cluster around changing base values |
| 31 | +fn generate_clustered_data(size: usize) -> Vec<u32> { |
| 32 | + let mut rng = StdRng::seed_from_u64(SEED); |
| 33 | + let mut data = Vec::with_capacity(size); |
| 34 | + let mut base = 0u32; |
| 35 | + |
| 36 | + for _ in 0..size { |
| 37 | + // 10% chance to jump to a new cluster |
| 38 | + if rng.random_bool(0.1) { |
| 39 | + base = rng.random_range(0..1000); |
| 40 | + } |
| 41 | + data.push(base + rng.random_range(0..10)); |
| 42 | + } |
| 43 | + data |
| 44 | +} |
| 45 | + |
| 46 | +/// Generate sequential/sorted data - ideal for compression |
| 47 | +fn generate_sequential_data(size: usize) -> Vec<u32> { |
| 48 | + (0..size as u32).collect() |
| 49 | +} |
| 50 | + |
| 51 | +/// Generate sparse data - mostly zeros with occasional random values |
| 52 | +fn generate_sparse_data(size: usize) -> Vec<u32> { |
| 53 | + let mut rng = StdRng::seed_from_u64(SEED); |
| 54 | + (0..size) |
| 55 | + .map(|_| { |
| 56 | + if rng.random_bool(0.9) { |
| 57 | + 0 |
| 58 | + } else { |
| 59 | + rng.random() |
| 60 | + } |
| 61 | + }) |
| 62 | + .collect() |
| 63 | +} |
| 64 | + |
| 65 | +/// Generate constant data - best case for compression |
| 66 | +fn generate_constant_data(size: usize) -> Vec<u32> { |
| 67 | + vec![SEED as u32; size] |
| 68 | +} |
| 69 | + |
| 70 | +/// Generate data with powers of two |
| 71 | +fn generate_geometric_data(size: usize) -> Vec<u32> { |
| 72 | + (0..size).map(|i| 1u32 << (i % 30)).collect() |
| 73 | +} |
| 74 | + |
| 75 | +/// Helper function to compress data and return the compressed size |
| 76 | +fn compress_data(codec: &mut FastPFOR, data: &[u32]) -> usize { |
| 77 | + let mut compressed = vec![0u32; data.len() * 2]; |
| 78 | + let mut input_offset = Cursor::new(0); |
| 79 | + let mut output_offset = Cursor::new(0); |
| 80 | + |
| 81 | + codec |
| 82 | + .compress( |
| 83 | + data, |
| 84 | + data.len() as u32, |
| 85 | + &mut input_offset, |
| 86 | + &mut compressed, |
| 87 | + &mut output_offset, |
| 88 | + ) |
| 89 | + .unwrap(); |
| 90 | + |
| 91 | + output_offset.position() as usize |
| 92 | +} |
| 93 | + |
| 94 | +/// Helper function to compress data and return compressed buffer |
| 95 | +fn prepare_compressed_data(data: &[u32], block_size: u32) -> Vec<u32> { |
| 96 | + let mut codec = FastPFOR::new(DEFAULT_PAGE_SIZE, block_size); |
| 97 | + let mut compressed = vec![0u32; data.len() * 2]; |
| 98 | + let mut input_offset = Cursor::new(0); |
| 99 | + let mut output_offset = Cursor::new(0); |
| 100 | + |
| 101 | + codec |
| 102 | + .compress( |
| 103 | + data, |
| 104 | + data.len() as u32, |
| 105 | + &mut input_offset, |
| 106 | + &mut compressed, |
| 107 | + &mut output_offset, |
| 108 | + ) |
| 109 | + .unwrap(); |
| 110 | + |
| 111 | + let compressed_size = output_offset.position() as usize; |
| 112 | + compressed.truncate(compressed_size); |
| 113 | + compressed |
| 114 | +} |
| 115 | + |
| 116 | +/// Helper function to decompress data |
| 117 | +fn decompress_data(codec: &mut FastPFOR, compressed: &[u32], original_size: usize) -> usize { |
| 118 | + let mut decompressed = vec![0u32; original_size]; |
| 119 | + let mut input_offset = Cursor::new(0); |
| 120 | + let mut output_offset = Cursor::new(0); |
| 121 | + |
| 122 | + codec |
| 123 | + .uncompress( |
| 124 | + compressed, |
| 125 | + compressed.len() as u32, |
| 126 | + &mut input_offset, |
| 127 | + &mut decompressed, |
| 128 | + &mut output_offset, |
| 129 | + ) |
| 130 | + .unwrap(); |
| 131 | + |
| 132 | + output_offset.position() as usize |
| 133 | +} |
| 134 | + |
| 135 | +fn benchmark_compression(c: &mut Criterion) { |
| 136 | + let mut group = c.benchmark_group("compression"); |
| 137 | + |
| 138 | + let patterns: &[(&str, DataGeneratorFn)] = &[ |
| 139 | + ( |
| 140 | + "uniform_small_value_distribution", |
| 141 | + generate_uniform_data_small_value_distribution, |
| 142 | + ), |
| 143 | + ( |
| 144 | + "uniform_large_value_distribution", |
| 145 | + generate_uniform_data_large_value_distribution, |
| 146 | + ), |
| 147 | + ("clustered", generate_clustered_data), |
| 148 | + ("sequential", generate_sequential_data), |
| 149 | + ("sparse", generate_sparse_data), |
| 150 | + ]; |
| 151 | + |
| 152 | + for &size in SIZES { |
| 153 | + for (name, generator) in patterns { |
| 154 | + let data = generator(size); |
| 155 | + group.throughput(Throughput::Elements(size as u64)); |
| 156 | + group.bench_with_input(BenchmarkId::new(*name, size), &data, |b, data| { |
| 157 | + b.iter(|| { |
| 158 | + let mut codec = FastPFOR::default(); |
| 159 | + black_box(compress_data(&mut codec, black_box(data))) |
| 160 | + }); |
| 161 | + }); |
| 162 | + } |
| 163 | + } |
| 164 | + |
| 165 | + group.finish(); |
| 166 | +} |
| 167 | + |
| 168 | +fn benchmark_decompression(c: &mut Criterion) { |
| 169 | + let mut group = c.benchmark_group("decompression"); |
| 170 | + |
| 171 | + let patterns: &[(&str, DataGeneratorFn)] = &[ |
| 172 | + ( |
| 173 | + "uniform_small_value_distribution", |
| 174 | + generate_uniform_data_small_value_distribution, |
| 175 | + ), |
| 176 | + ( |
| 177 | + "uniform_large_value_distribution", |
| 178 | + generate_uniform_data_large_value_distribution, |
| 179 | + ), |
| 180 | + ("clustered", generate_clustered_data), |
| 181 | + ("sequential", generate_sequential_data), |
| 182 | + ("sparse", generate_sparse_data), |
| 183 | + ]; |
| 184 | + |
| 185 | + for &size in SIZES { |
| 186 | + for (name, generator) in patterns { |
| 187 | + let data = generator(size); |
| 188 | + let compressed = prepare_compressed_data(&data, BLOCK_SIZE_128); |
| 189 | + |
| 190 | + group.throughput(Throughput::Elements(size as u64)); |
| 191 | + group.bench_with_input( |
| 192 | + BenchmarkId::new(*name, size), |
| 193 | + &(compressed, size), |
| 194 | + |b, (compressed, size)| { |
| 195 | + b.iter(|| { |
| 196 | + let mut codec = FastPFOR::default(); |
| 197 | + black_box(decompress_data(&mut codec, black_box(compressed), *size)) |
| 198 | + }); |
| 199 | + }, |
| 200 | + ); |
| 201 | + } |
| 202 | + } |
| 203 | + |
| 204 | + group.finish(); |
| 205 | +} |
| 206 | + |
| 207 | +fn benchmark_roundtrip(c: &mut Criterion) { |
| 208 | + let mut group = c.benchmark_group("roundtrip"); |
| 209 | + |
| 210 | + for &size in SIZES { |
| 211 | + let data = generate_uniform_data_small_value_distribution(size); |
| 212 | + |
| 213 | + group.throughput(Throughput::Elements(size as u64)); |
| 214 | + group.bench_with_input( |
| 215 | + BenchmarkId::new("compress_decompress", size), |
| 216 | + &data, |
| 217 | + |b, data| { |
| 218 | + b.iter(|| { |
| 219 | + let mut codec1 = FastPFOR::default(); |
| 220 | + let mut codec2 = FastPFOR::default(); |
| 221 | + let mut compressed = vec![0u32; data.len() * 2]; |
| 222 | + let mut decompressed = vec![0u32; data.len()]; |
| 223 | + let mut input_offset = Cursor::new(0); |
| 224 | + let mut output_offset = Cursor::new(0); |
| 225 | + |
| 226 | + codec1 |
| 227 | + .compress( |
| 228 | + black_box(data), |
| 229 | + data.len() as u32, |
| 230 | + &mut input_offset, |
| 231 | + &mut compressed, |
| 232 | + &mut output_offset, |
| 233 | + ) |
| 234 | + .unwrap(); |
| 235 | + |
| 236 | + input_offset.set_position(0); |
| 237 | + let compressed_len = output_offset.position(); |
| 238 | + output_offset.set_position(0); |
| 239 | + |
| 240 | + codec2 |
| 241 | + .uncompress( |
| 242 | + &compressed, |
| 243 | + data.len() as u32, |
| 244 | + &mut input_offset, |
| 245 | + &mut decompressed, |
| 246 | + &mut output_offset, |
| 247 | + ) |
| 248 | + .unwrap(); |
| 249 | + |
| 250 | + black_box((compressed_len, output_offset.position())) |
| 251 | + }); |
| 252 | + }, |
| 253 | + ); |
| 254 | + } |
| 255 | + |
| 256 | + group.finish(); |
| 257 | +} |
| 258 | + |
| 259 | +fn benchmark_block_sizes(c: &mut Criterion) { |
| 260 | + let mut group = c.benchmark_group("block_sizes"); |
| 261 | + |
| 262 | + let size = *SIZES.last().unwrap(); |
| 263 | + let data = generate_uniform_data_small_value_distribution(size); |
| 264 | + |
| 265 | + let block_sizes = [BLOCK_SIZE_128, BLOCK_SIZE_256]; |
| 266 | + |
| 267 | + for block_size in block_sizes { |
| 268 | + group.throughput(Throughput::Elements(size as u64)); |
| 269 | + group.bench_function(format!("compress_{block_size}"), |b| { |
| 270 | + b.iter(|| { |
| 271 | + let mut codec = FastPFOR::new(DEFAULT_PAGE_SIZE, block_size); |
| 272 | + black_box(compress_data(&mut codec, black_box(&data))) |
| 273 | + }); |
| 274 | + }); |
| 275 | + } |
| 276 | + |
| 277 | + // Also benchmark decompression performance for each block size |
| 278 | + for block_size in block_sizes { |
| 279 | + // Pre-compress the data once for this block size so the decompression |
| 280 | + // benchmark measures only decompression work inside `b.iter`. |
| 281 | + let compressed = prepare_compressed_data(&data, block_size); |
| 282 | + |
| 283 | + group.throughput(Throughput::Elements(size as u64)); |
| 284 | + group.bench_function(format!("decompress_{block_size}"), |b| { |
| 285 | + b.iter(|| { |
| 286 | + let mut codec = FastPFOR::new(DEFAULT_PAGE_SIZE, block_size); |
| 287 | + black_box(decompress_data(&mut codec, black_box(&compressed), size)); |
| 288 | + }); |
| 289 | + }); |
| 290 | + } |
| 291 | + group.finish(); |
| 292 | +} |
| 293 | + |
| 294 | +fn benchmark_compression_ratio(c: &mut Criterion) { |
| 295 | + let mut group = c.benchmark_group("compression_ratio"); |
| 296 | + group.sample_size(20); // Fewer samples since we're measuring ratio, not just speed |
| 297 | + |
| 298 | + let size = *SIZES.last().unwrap(); |
| 299 | + let patterns: &[(&str, DataGeneratorFn)] = &[ |
| 300 | + ( |
| 301 | + "uniform_small_distribution", |
| 302 | + generate_uniform_data_small_value_distribution, |
| 303 | + ), |
| 304 | + ( |
| 305 | + "uniform_large_distribution", |
| 306 | + generate_uniform_data_large_value_distribution, |
| 307 | + ), |
| 308 | + ("clustered", generate_clustered_data), |
| 309 | + ("sequential", generate_sequential_data), |
| 310 | + ("sparse", generate_sparse_data), |
| 311 | + ("constant", generate_constant_data), |
| 312 | + ("geometric", generate_geometric_data), |
| 313 | + ]; |
| 314 | + |
| 315 | + for (name, data_fn) in patterns { |
| 316 | + let data = data_fn(size); |
| 317 | + group.bench_function(*name, |b| { |
| 318 | + b.iter(|| { |
| 319 | + let mut codec = FastPFOR::default(); |
| 320 | + let compressed_size = compress_data(&mut codec, black_box(&data)); |
| 321 | + #[expect( |
| 322 | + clippy::cast_precision_loss, |
| 323 | + reason = "Loss of precision is acceptable for compression ratio calculation" |
| 324 | + )] |
| 325 | + let ratio = data.len() as f64 / compressed_size as f64; |
| 326 | + black_box(ratio) |
| 327 | + }); |
| 328 | + }); |
| 329 | + } |
| 330 | + |
| 331 | + group.finish(); |
| 332 | +} |
| 333 | + |
| 334 | +criterion_group!( |
| 335 | + benches, |
| 336 | + benchmark_compression, |
| 337 | + benchmark_decompression, |
| 338 | + benchmark_roundtrip, |
| 339 | + benchmark_block_sizes, |
| 340 | + benchmark_compression_ratio |
| 341 | +); |
| 342 | +criterion_main!(benches); |
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