sled.rs
1 /* This file is part of DarkFi (https://dark.fi) 2 * 3 * Copyright (C) 2020-2025 Dyne.org foundation 4 * 5 * This program is free software: you can redistribute it and/or modify 6 * it under the terms of the GNU Affero General Public License as 7 * published by the Free Software Foundation, either version 3 of the 8 * License, or (at your option) any later version. 9 * 10 * This program is distributed in the hope that it will be useful, 11 * but WITHOUT ANY WARRANTY; without even the implied warranty of 12 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 13 * GNU Affero General Public License for more details. 14 * 15 * You should have received a copy of the GNU Affero General Public License 16 * along with this program. If not, see <https://www.gnu.org/licenses/>. 17 */ 18 19 use criterion::{criterion_group, criterion_main, BatchSize, BenchmarkId, Criterion}; 20 use darkfi_sdk::crypto::pasta_prelude::*; 21 use halo2_proofs::pasta::Fp; 22 use rand::rngs::OsRng; 23 24 fn sled(c: &mut Criterion) { 25 let db = sled::open("/tmp/db").unwrap(); 26 let tree = db.open_tree(b"hello").unwrap(); 27 28 let mut group = c.benchmark_group("inserts"); 29 for i in 0..10 { 30 println!("i={}", i); 31 // Insert 1 million keys 32 for j in 0..1_000_000 { 33 if j % 100000 == 0 { 34 println!(" inserted {} values...", j); 35 } 36 let a = Fp::random(&mut OsRng).to_repr(); 37 tree.insert(&a, &[]).unwrap(); 38 } 39 let x = Fp::random(&mut OsRng).to_repr(); 40 group.bench_with_input(BenchmarkId::from_parameter(i), &i, |b, &_| { 41 b.iter_batched(|| tree.remove(&x), |_| tree.insert(&x, &[]), BatchSize::SmallInput) 42 }); 43 } 44 tree.clear().unwrap(); 45 let _ = db.drop_tree(b"hello"); 46 } 47 48 criterion_group!(bench, sled); 49 criterion_main!(bench);